Courses Specifications

Department of Electronic Engineering Technology

EET111 - Electrical Circuits I

Course Contents

Electric circuits represent the foundation of electrical engineering studies and practices. All electrical systems can be modeled using the electric circuits approach. Therefore, learning how to build and analyze electric circuits constitute a milestone in building engineering career. This course will provide the students with strong understanding of electric circuits with emphasis on the techniques for analysing electric circuits in steady state and in transient state as well. The course contains an introduction to electric circuits, circuits elements and Ohm’s law, Kirchhoff's’ Laws & voltage and current division rules, the node-voltage method, the mesh-current method, superposition method and source transformation, Thevenin's and Norton's circuits, maximum power transfer theorem, inductors and capacitors, and first order transients.

References

• Charles K. Alexander and Matthew Sadiku, “Fundamentals of Electric Circuits” Second Edition, McGrawHill, 2004.
• W. Nilsson and S. A. Riedel, “Electric Circuits”, Eights Edition or later. Upper Saddle River, NJ: Prentice Hall, 2011.

Learning Outcomes

• CLO 1: To build an understanding of the basic concepts of electric circuits.
• CLO 2: To apply the basic laws of electric circuits.
• CLO 3: To learn the different analysis methods of electric circuits.
• CLO 4: To analyze different configurations of resistive circuits using these methods.
• CLO 5: To investigate the transient phenomena in electric circuits.
• CLO 6: To develop the students’ problem solving skills.

Tutorials

• LAB 1: Electrical quantities, measuring instruments, resistor color code. LAB 2: Breadboard and wiring, power supply, Ohm's law, and series and parallel configurations. LAB 3: KVL, KCL, voltage divider rule, and current divider rule. LAB 4: An introduction to PsPice simulation. LAB 5: DC circuits with dependent sources. LAB 6: Nodal analysis and mesh analysis. LAB 7: Superposition principle. LAB 8: Thevenin's equivalent circuit. LAB 9: Maximum power transfer theorem.

EET121 - Fundamental of Optics

Course Contents

The course supports the students with the fundamentals of optics. The course includes the notion of the ray model of light. The course also contains the image formation by plane and spherical mirrors, the notion of refractive index of a material, Snell's law, total internal reflection in optical fibers, thin lenses, visible light spectrum, dispersion, light polarization, how the human eye works, usage of corrective lenses, magnifying glasses, and fifferent types of optical instruments (cameras, telescopes, and compound microscope).

References

• D. C. Giancoli, Physics: Priciples with Applications, 6th ed. Pearson.

Learning Outcomes

• CLO 1: Understand the ray model of light.
• CLO 2: Learn the image formation by plane and spherical mirrors.
• CLO 3: Learn the meaning of refracive index of a material.
• CLO 4: Understand the meaning of the Snell's law of refraction and total internal reflection for optical fibers.
• CLO 5: Learn the meaning of thin lenses.
• CLO 6: Identify visible light spectrum and dispersion. CLO 7: Understand the concept of light polarization.
• CLO 8: Recognize how the human eye works and the usage of corrective lenses. CLO 9: Understand the principle of operation of magnifying glasses. CLO 10: Identify different types of optical instruments: Cameras, telescopes, and compound microscope.

EET191 - EET Internship I

Course Contents

Internship provides an opportunity to practice and/or apply knowledge and skills in professional environments and gain valuable work experience. Through the Internship students get exposure to the industrial environment which cannot be simulated in the classroom. During the internship, students understand and sharpen the real-time technical/managerial skills required at the job(s). Further, they understand the social, economic, and administrative considerations that influence the working environment of industrial organizations. Student learning includes overall professional development of students, required problem-solving, communication, human development, and relationship-building skills. Further, the students develop awareness of the organizational department structure and their roles, responsibilities, and function. Students select the internship field in consultation with an industry mentor and faculty guide in terms of the academic requirements. The student is expected to produce a joining letter and a successful completion certificate. once the internship is over. Internship evaluation can be based on the quality of projects completed as part of the internship activities. Faculty Member(s) evaluate(s) the performance of students once by visiting the industry/organization and submit the evaluation report of the students with the consent of Industry persons/ mentor. The students are exposed to the industry environment for 6 to 8 weeks duration to understand the operation of the industrial facility.

References

• https://www.youtube.com/watch?v=jpf9J2TUJVg
• https://www.youtube.com/watch?v=KqIshDsg494
• https://www.youtube.com/watch?v=E1UcIHW5rSc
• https://www.youtube.com/watch?v=EhnfOUrFgxM

Learning Outcomes

• CLO 1: Understand the Electronic industrial standards and recognize the requirement of these standards with the industrial scenario.
• CLO 2: Examine a specific project related to electrical engineering at an existing job.
• CLO 3: Communicate effectively through the technical presentation.
• CLO 4: Demonstrate individual confidence to handle various engineering assignments during the internship.
• CLO 6: Expose themselves to acquire life skills to meet societal challenges
• CLO 7: Relate the engineer’s responsibilities and ethics while handling various engineering assignments during the internship.
• CLO 8: Read the engineering drawings and if necessary, modify the parts/unit/assembly drawing of the electrical product.

EET211 - Electrical Circuits II

Course Contents

This course is the second course in electric circuits for electrical engineering students. It aims to introduce the concepts of circuit analysis in three different domains namely; time domain, frequency domain, and in Laplace domain. It also provides the students with the techniques needed for the analysis of active circuits such as filter circuits and amplifiers. The course contains an introduction to AC circuits, circuit elements in th ephasor domain, analysis of AC circuits, power calculations in AC circuits, power factor correction, operational amplifiers and their applications, resonance circuits, filters, and S-domain analysis.

References

• Charles K. Alexander and Matthew Sadiku. Fundamentals of Electric Circuits (11th edition). McGrawHill. ISBN-10: 0073048356. ISBN-13: 978-0073048352. J. W. Nilsson and S. A. Riedel. Electric Circuits (10th edition). Upper Saddle River, NJ: Prentice Hall. ISBN 0-13-146592-9.

Learning Outcomes

• CLO 1: Recall the principles of operation, electrical characteristics and circuit models of active elements such as Operational amplifiers.
• CLO 2: Identify different types of filters and amplifiers.
• CLO 3: Recognize the principles of operation, electrical characteristics and circuit models of amplifiers, filters, AC circuits, S-domain circuits. CLO 4: Distinguish between the different components of Power.
• CLO 5: Formulate the transfer function of a circuit in frequency domain and in S- domain.
• CLO 6: Analyze Filters, AC circuits, and amplifiers circuits.
• CLO7: Calculate the apparent, active and reactive power of a circuit.
• CLO 8: Calculate the power factor of the circuit and size the capacitor required for power factor improvement. CLO 9: Prepare reports and assignments and hand them before due dates.
• CLO 10: Develop communication skills through interactive discussions within the lectures and tutorials.

Tutorials

• LAB 1: Capacitors and oscilloscpes. LAB 2: R-L and R-C series connections. LAB 3: PsPice simulation - AC analysis. LAB 4: AC power triangle. LAB 5: Power factor correction. LAB 6: PsPice siluation - operational amplifier. LAB 7: Non-invderting operational amplifier. LAB 8: Operational amplifier applications: Differentiator and integrator. LAB 9: Filters.

EET212 - Signals & Communication Systems Technology

Course Contents

Signals and systems are used in a wide range of engineering system like voice processing, image processing data processing, cellular networks which are an integral part of analog and digital communications. This course covers the classification of signals like continuous and discrete signals, analog and digital signals, deterministic and random signals, even and odd signals, periodic and aperiodic signals, and linear and nonlinear signal, and basic operations on signals like time shifting and time scaling. The topics include representation of basic signals like step, unit impulse, sinusoid, complex exponential. It also covers the impulse response and step response, convolution, and block diagram representations for interconnections of systems. The student learning includes Fourier analysis and properties of continuous-time periodic signals, discrete-time periodic signals, continuous-time aperiodic signals, and discrete-time aperiodic signals. The last part of the course covers the sampling theory, the need of modulation process, bandwidth requirement, amplitude modulation (AM), and spectrum of AM waves.

References

• Oppenheim, V. Willsky, A. S., & Nawab, S. H. (2020). Signals and Systems, Prentice Hall,2nd Edition.
• Taub, H. Schilling, D. L., & Saha, G. (2017). Principles of Communication Systems. 3rd Edition, TMH.
• https://www.tutorialspoint.com/signals_and_systems/index.htm
• http://www.dspguide.com/ch8/1.htm
• https://electronicscoach.com/difference-between-analog-and-digital-communication.html
• https://www.javatpoint.com/analog-communication

Learning Outcomes

• CLO 1: Classify signals (continuous-time vs. discrete-time, real vs. complex, periodic vs. aperiodic, and deterministic vs. random). CLO 2: Calculate power and energy of signals and make transformations of the independent variable for signals. CLO 3: Illustrate systems based on their properties: in particular, to understand and exploit the implications of linearity, time-invariance, causality, memory, and bounded-input bounded-output (BIBO) stability for DSP applications.
• CLO 4: Identify the different features of linear time-invariant (LTI) systems. CLO 5: Find the Fourier series for continuous-time periodic signals, and identify its main properties. CLO 6: Find the Fourier series for discrete-time periodic signals, and identify its main properties. CLO 7: Find the Fourier transform for continuous-time aperiodic signals, and identify its main properties. CLO 8: Find the Fourier transform for continuous-time periodic signals, and identify its main properties. CLO 9: Find the Fourier transform for discrete-time aperiodic signals, and identify its main properties. CLO 10: Find the Fourier transform for discrete-time periodic signals, and identify its main properties. CLO 11: Understand the notion of the sampling theory.

Tutorials

• LAB 1: An introduction to MATLAB. LAB 2: 1D arrays. LAB 3: Arrays and matrices. LAB 4: MATLAB representations of discrete-time signals. LAB 5: MATLAB representations of discrete-time signals (cont.). LAB 6: Discrete-time signals. LAB assignment: MATLAB code to generate discrete-time step, ramp, parabolic, sinusoidal, and impulse signals, find the sum and convolution of two discrete-time signals, and generate and plot the magnitude and phase for the Fourier transform of a given discrete-time aperiodic signal.

EET213 - Electric Circuit Design & PCB Manufacturing

Course Contents

This is a basic course for designing PCB using software and hardware. The major objective is to select and use appropriate test equipment and procedures from a wide range of possibilities to analyze and interpret test results and measurements on electric circuits, in terms of theoretical models. The topics include predicting the performance of electric circuits from device characteristics and designing an electronic printed circuit board for a specific application using industry standard software. The student learning includes designing and fabricating PCB for prototyping for electronic circuits, single and multilayer PCB Technology, PCB plated through hole, surface mount, PCB Material, its mechanical and electrical properties, resins, and foils used, solder mask, electronic component packaging like hole packages, axial and radial lead, dual line package, transistor outline, pin grid array. The student also learns PCB designing, fabrication, production, electronic design automation tools like Eagle, Ultiboard, Orcad and Opensource tools like KiCad. In KiCad Schematic entry drawing, netlisting, layering, component footprint library selection & designing, design rules, component placing by manual and automatic, automatic & manual track routing, track length, angle, joint & size. It also covers the IPC standards for schematic, designing, material and documentation which includes the use of standard title blocks, page sequencing, readability, design rules, separate part list, assembly drawing, PWB drawing and flag notes. It covers the PCB prototyping using CNC machine, photo-lithography process, screen printing process and chemical etching. The course also covers the PCB mass manufacturing process like gerber generation, CAM, panelization, cleaning, drilling, plating, screen printing, etching, automated optical inspection, tinning, solder resist, legend printing, PCB testing.

References

• Jon Varteresian, (2002) Fabricating Printed Circuit Boards, Newnes Publication.
• https://reprap.org/wiki/MakePCBInstructions#Making_PCBs_yourself
• https://www.youtube.com/watch?v=imQTCW1yWkg
• https://www.circuitbasics.com/make-custom-pcb/

Learning Outcomes

• CLO 1: Illustrate the concept of designing single and multi-layer PCB.
• CLO 2: Design the layout for specific application of electrical circuit manually.
• CLO 3: Analyze the fabrication process of printed circuit boards
• CLO 4: Compare the various software available for PCB design
• CLO 5: Use EDA software to select components, create library, design layout, and develop functional electronic circuit boards.
• CLO 6: Demonstrate a mini-project from a lay out design using software to process of etching, drilling, and routing to get the final printed circuit board.

Tutorials

• LAB 1: Study of transformer and winding step-down transformer winding of less than 5VA.
• LAB 2: Study of crystal diode rectifier used in PCB.
• LAB 3: Draw PCB layout for an electric circuit.
• LAB 4: Etching and drilling of PCB, solder & soldering techniques of circuits in PCB, Wiring and fitting of power supply along with a meter in cabinet.
• LAB 5: Testing of power supply fabricated and Building Schematic in ORCAD.
• LAB 6: Creating parts, surface mount components and symbols in ORCAD library and Importing schematic to PCB machine.
• LAB 7: Routing, glossing and copper pour for PCB.
• LAB 8: PCB design and implementation of battery charger unit.
• LAB 9: PCB design and Implementation of Motion detector circuit.
• LAB 10: PCB design and implementation of uninterrupted supply circuit.
• LAB 11: PCB design and implementation of solar charger circuit.

EET231 - Electronics

Course Contents

Intrinsic Semiconductors (Crystal structure, Band diagram, Intrinsic carrier, concentration, and Influence of temperature). Exttrinsic Semiconductors (carrier concentarion, charge neutrality, majority and minority carriers, influence of temperature on carrier concentration, carrier transport mechanisms, generation and recombination). PN-junction at thermal equilibrium and I-V characteristics. Diode DC model, diode amall-signal model, diode circuits, and zener diode. BJT physical characteristics and as a circuit element. BJT circuit analysis. Structure of MOS diode (MOS = Metal Oxide Semiconductor) (Accumulation, Depletion, Inversion, Capacitance of MOS diode, Work function difference, Influence of built-in charge). MOS as a circuit element.

References

• S. M. Sze, “Semiconductor Devices: Physics and Technology”, Wiley & So., ISBN 0471333727, 2001

Learning Outcomes

• CLO 1: Intrinsic Semiconductors (Crystal structure, Band diagram, Intrinsic carrier, concentration, and Influence of temperature). CLO 2: Exttrinsic Semiconductors (carrier concentarion, charge neutrality, majority and minority carriers, influence of temperature on carrier concentration, carrier transport mechanisms, generation and recombination). CLO 3: PN-junction at thermal equilibrium and I-V characteristics. CLO 4: Diode DC model, diode amall-signal model, diode circuits, and zener diode. CLO 5: BJT physical characteristics and as a circuit element. BJT circuit analysis. CLO 6: Structure of MOS diode (MOS = Metal Oxide Semiconductor) (Accumulation, Depletion, Inversion, Capacitance of MOS diode, Work function difference, Influence of built-in charge). CLO 7: MOS as a circuit element.
• CLO 8: Conduct lab experiments in electronic devices, write lab reports and present results.

EET291 - EET Project I

Course Contents

This course enables the students to exercise some of the knowledge and/or skills developed during the program in a new situation or problem for which there are number of engineering solutions. The student is expected to design a project that provides students with the experience of designing, building, and integrating modular software applications/ electronic system comprising analog, digital and computer subsystems. The student mostly implements design and tests the system. This course includes planning the tasks which are to be completed within the time allocated, and in turn, helps to develop the ability to plan, use, monitor, and control resources optimally and economically. By studying this course. The student develops creativity, initiative, and capacity to perform. Leadership development and supervision skills are also integrated into the learning objectives of this course. The project will have a detailed proposal, which must be executed or implemented within the time allocated while maintaining a logbook periodically monitored by the professor mentor. Projects should be chosen so that they can be completed using students’ problem-solving capabilities and depth of learning. A detailed project report is to be prepared as the project progresses, which has to be submitted after the project is over. The students acquire the basic background necessary to conduct research on advanced topics in a chosen subject area.

References

• https://www.youtube.com/watch?v=AwH6drwfuAU
• https://www.youtube.com/watch?v=GQVoxaucS44
• https://www.youtube.com/watch?v=fsR8Cm5NBMg
• https://www.youtube.com/watch?v=EjQYvCXaMG4
• https://effectiveu.umn.edu/capstone/additional-resources

Learning Outcomes

• CLO 1: Define the tasks and scope of the project independently and/or collaboratively
• CLO 2: Identify relevant information pertaining to project needs from a variety of resources.
• CLO 3: Acquire knowledge on advanced topics in a chosen subject area
• CLO 4: Summarize the information and draw a logical conclusion to the problem/task of the project
• CLO 5: Outline the details of hardware and software required for the completion of the project
• CLO 6: Prepare project proposals with an action plan and time duration scientifically.
• CLO 7: Communicate project ideas and current work achievements clearly through technical report and presentations.

EET292 - EET Project II

Course Contents

This course enables the students to apply some of the knowledge and/or skills developed during the program in a new situation or problem for which there are number of engineering solutions. Project II provides students with the experience of designing and building simple software and hardware applications. Further students can learn how to integrate it into a modular electronic system or computer subsystems. This course builds on the knowledge and skills built in Project I. The student mostly implements design and tests the system. This course includes planning the tasks which are to be completed within the time allocated, and in turn, helps to develop the ability to plan, use, monitor, and control resources optimally and economically. Through this course, the student develops creativity, initiative, and capacity to perform. The student develops interpersonal, teamwork, planning and organizing skills. The projects will have a detailed project proposal, which must be executed or implemented within the time allocated, simultaneously maintaining a logbook periodically monitored by the teacher. Projects should be chosen so that they can be completed using students’ problem-solving capabilities and depth of learning. A detailed project report is to be prepared as the project progresses, which has to be submitted after the project is over. The students acquire the basic background necessary to conduct research on advanced topics in a chosen subject area.

References

• https://www.youtube.com/watch?v=AwH6drwfuAU
• https://www.youtube.com/watch?v=GQVoxaucS44
• https://www.youtube.com/watch?v=fsR8Cm5NBMg
• https://www.youtube.com/watch?v=EjQYvCXaMG4
• https://effectiveu.umn.edu/capstone/additional-resources

Learning Outcomes

• CLO 1. Choose the relevant possible solutions from available alternatives
• CLO 2. Conduct feasibility studies about hardware and software parts used in the project.
• CLO 3. Design a simple software and hardware application taking into consideration various real-life constraints.
• CLO 4. Investigate the important legal and ethical issues in the design project
• CLO 5. Collaborate with team members, managers, and clients to design and prototype a product/service that meets user needs and expectations.
• CLO 6. Conduct the theoretical study in detail and compare them on the basis of cost/ energy conservation/impact on environment/technology used etc.
• CLO 7. Communicate project ideas and current work achievements clearly through technical report and presentations.

EET331 - Digital System Design

Course Contents

Understanding the basic low-level background of digital circuits. Recognizing the different types of memories and programmable logic devices. Analysis and Design of Advanced Combinational and Sequential Circuits. Applying a complete design flow targeting FPGA platforms. Applying the concept of pipelining to boost the throughput of a digital system. Analysis and Design of Efficient Arithmetic Circuits

References

• John Wakerly, “Digital Design,” Prentice Hall, ISBN: 0-13-176059-9
• Neil Storey, “Electronics- A System Approach,” Prentice Hall, ISBN 0-13-129396-6
• Stephen Brown, and Zvonko Vranesic, “Fundamentals of Digital Logic with VHDL Design,” Mc Graw Hill, ISBN 007-124482-4
• Ercegovac and Lang, “Digital Arithmetic,”

Learning Outcomes

• CLO 1: Understanding the basic low-level background of digital circuits.
• CLO 2: Recognizing the different types of memories and programmable logic devices.
• CLO 3: Analysis and Design of Advanced Combinational and Sequential Circuits.
• CLO 4: Applying a complete design flow targeting FPGA platforms.
• CLO 5: Applying the concept of pipelining to boost the throughput of a digital system.
• CLO 6: Analysis and Design of Efficient Arithmetic Circuits.

EET332 - Integrated Circuits Design

Course Contents

Design and analyze digital circuits on transistor level. Define different design alternatives in studying Dynamic Logic Circuits to build high performance digital integrated circuits. Discuss different types of digital memories. Notion of digital integrated circuits. Revision on semiconductor devices and their proerties.Identify the static and dynamic behavior of MOS inverter. Describe the delay induced by wiring interconnect. Consider static and dynamic MOS power consumption. Transistor-level implementation of NOR, NAND, and XOR gates. Transistor-level implementation of latches, flipflops, and registers. Transistor-level implementation of adders, multipliers, and shifters. Timing constraints consideration.

References

• Weste, N. H. E. and Harris, D., CMOS VLSI Design: A Circuits and Systems Perspective.
• Rabaey, J. et al, “Digital Integrated Circuits: A Design Perspective” 2nd Ed.
• Kang, S-Mo. and Leblebici, Y., CMOS Digital Integrated Circuits.

Learning Outcomes

• CLO 1: The notion of digital integrated circuits. CLO 2: Make an intensive revision on semiconductor devices and their proerties.
• CLO 3: Identify the static and dynamic behavior of MOS inverter.
• CLO 4: Describe the delay induced by wiring interconnect.
• CLO 5: Consider static and dynamic MOS power consumption.
• CLO 6: Transistor-level implementation of NOR, NAND, and XOR gates.
• CLO 7: Transistor-level implementation of latches, flipflops, and registers. CLO 8: Transistor-level implementation of adders, multipliers, and shifters. CLO 9: Consider timing constraints.

EET333 - Electronic Circuits

Course Contents

Analog Circuit Design Basics. BJT DC and AC Analysis (Amplifiers). MOS-FET DC and AC Analysis (Amplifiers). Frequency Response of Amplifiers. Differential Amplifiers and Current Mirrors. Power Amplifiers. Feedback Amplifiers. Op-amp CMOS Circuit Design

References

• “Microelectronic Circuit Design” , Jaeger
• “Microelectronics Circuits” ,Sedra& Smith
• “Analysis and Design of Analog Integrated Circuits”, Gray, Hurst, Lewis & Meyer
• “ Fundamentals of Microelectronics”, Razavi
• “Analog Integrated Circuit Design”, Johns & Martin
• “Electronic Devices and Circuits”, Bogart, Beasley & Rico
• “Microelectronic Circuits Analysis and Design”, Rashid
• “Electronic Principles”, Malvino& Bates

Learning Outcomes

• CLO 1: BJT DC and AC Analysis (Amplifiers)
• CLO 2: MOS-FET DC and AC Analysis (Amplifiers)
• CLO 3: Frequency Response of Amplifiers
• CLO 4: Differential Amplifiers and Current Mirrors
• CLO 5: Power Amplifiers
• CLO 6: Feedback Amplifiers
• CLO 7: Op-amp CMOS Circuit Design

EET341 - Electronics Measurements & Instruments

Course Contents

Functional elements and generalized configuration of a measuring Instrument, characteristics of instruments, errors in measurements and their statistical analysis, it gives the introduction to display devices, character formats, segment displays, dot matrix displays, bar graph displays, cathode ray tubes, light emitting diodes, liquid crystal displays, nixes, incandescent, fluorescent, liquid vapor and visual displays. It also covers the introduction to oscilloscope, block diagram, cathode ray tube, delay line, multiple trace oscilloscope scope, digital storage oscilloscope. It also discusses the different signal generation techniques like sine wave generator, frequency synthesized signal generator, frequency divider generator, sweep frequency generator, pulse and square wave generator, function generator, wave analyzers, harmonic distortion analyzer, spectrum Analyzer. The second part of the course covers the instrumentation which includes the control of physical parameters using electronic P, I, and PID controllers, it covers the temperature measurement and control using RTD, thermistor, thermocouple, semiconductor junction thermometers, infrared Thermometers, pyro-electric thermometers, fiber optic temperature sensor, intelligent Temperature measuring instruments. It also covers the pressure measurement using primary sensing element like bellows, bourdon tube, manometers, diaphragm, resistive, inductive, and capacitive pressure sensor, and dead weight gauge. It also covers the flow measurement using differential meters, variable area flow meters, electromagnetic flow meters, ultrasonic Flow meters. It also discusses the level measurement using float level meters, capacitance probes, hydrostatic pressure system, ultrasonic and radar Methods. It also covers the basic measurement of light intensity using photovoltaic cell, phototransistor, photoconductive cells and also the introduction to viscosity, pH measurement and gas sensing analysis. Lectures, theoretical assignments, and presentations will be used in this course.

References

• H.S. Kalsi (2010), Electronic Instrumentation,3rd Edition, Tata Mc Graw Hill
• U.A. Bakshi, A.V. Bakshi, (2010), Electronics Measurements and Instrumentation, Technical Publication
• Klaas B. Klaassen, (2002),Electronic Measurement and Instrumentation, Cambridge University Press.
• https://www.omega.com/en-us/resources/flow-meters
• https://www.smar.com/en/technical-article/pressure-measurement-characteristics-technologies-and-trends
• https://cfdflowengineering.com/basic-of-flow-measurement-techniques

Learning Outcomes

• CLO 1: Determine the function elements of measurement system like data measurement, data manipulation and data presentation
• CLO 2: Identify the different signal generators used and their applications.
• CLO 3: Illustrate the working of oscilloscope, digital storage oscilloscope, working principle and the block diagram representation.
• CLO 4: Classify the various types of display devices used like LED, LCD and Dot Matrix.
• CLO 5: Interpret the various pressure measurement devices, wave form analyzers like spectral analyzer used in industry
• CLO 6: Demonstrate experiment using temperature, pressure sensors, PID controllers and flow meters used in industry.

Tutorials

• LAB 1: Study of electronic-proportional controller and verify the output.
• LAB 2: Study of electronic-PI controller and verify the output.
• LAB 3: Study of electronic PID Integral controller and verify the output and application of PID to control the temperature.
• LAB 4: Pressure measurement using dead-weight gauge and Bourdon tube.
• LAB 5: Flow measurement using differential-flow meters, variable-area flow meters, electromagnetic-flow meters, and ultrasonic-flow meters.
• LAB 6: Study of phototransistor.
• LAB 7: Study of photoconductive cell.
• LAB 8:Study of light-detecting resistor.
• LAB 9: Study of PH measurement and control.
• LAB 10: Study of rotameter to measure flow.

EET351 - Digital Signal Processing

Course Contents

Digital programmable system allows flexibility in reconfiguring the digital signal processing operations simply by changing the program. Reconfiguration of an analog system usually implies a redesign of the hardware. In addition, digital systems provide much better control of accuracy than analog systems by specifying the accuracy requirements in A/D converter (number of levels). In analog systems, it is difficult to control the accuracy because it is affected by other factors, for example, the circuit components (resistors and capacitors) are affected by temperature. The course recalls the basic concepts in digital signal processing and for linear time-invariant (LTI) systems, aims to find the z-transform and recognize its application for LTI systems, targets to find and identify the discrete Fourier transform and fast Fourier transform, and identify each of infinite impulse response (IIR) digital filter and finite impulse response (FIR) digital filter and recognize their design.

References

• J. Proakis, Digital Signal Processing: Principles, Algorithms, and Applications”, Communication Systems, 4th edition, Prentice-Hall, 1996.

Learning Outcomes

• CLO 1: Recall the basic concepts in digital signal processing. CLO 2: Recall the basic concepts for linear time-invariant (LTI) systems. CLO 3: Find the z-transform and recognize its application for LTI systems. CLO 4: Find and identify the discrete Fourier transform. CLO 5: Find and identify the fast Fourier transform CLO 6: Identify infinite impulse response (IIR) digital filter and recognize its design. CLO 7: Identify finite impulse response (FIR) digital filter and recognize its design.

EET352 - Random Signals & Noise

Course Contents

Random signals and noise course is a basic course aiming to introduce stochastic processes, probability and statistics information and queuing theory. A Prerequisite for this course is probability and statistics. The course offers an overview on basic stochastic processes and queuing systems which are highly important in modeling any desired system. Among its’ basic topics are: Discrete and continuous distributions, Poisson and exponential processes and Markovian queues. The course is beneficial for students who will continue in the research field as well as those targeting a job in the networking or communication fields.

References

• “Probability and Random Processes with Applications to Signal Processing and Communications”, S. L. Miller, and D. G. Childers, Elsevier Academic Press, 2004. “Analysis of Computer and Communication Networks ”, F. Gebali, Springer, 2008

Learning Outcomes

• CLO 1: Solve challenging problems on stochastic processes.
• CLO 2: Analyze real-life systems using probability distributions.
• CLO 3: Differentiate between continuous and discrete models.
• CLO 4: Setup queuing models for real applications.
• CLO 5: Measure performance metrics for modeled systems.
• CLO 6: Experiment modeling of a simple queuing model with the aid of simulators such as MATLAB.
• CLO 7: Acquire excellent skills in programming queuing models.
• CLO 8: Develop good understanding for probability theory concepts and their applications to practical fields.

EET391 - EET Internship II

Course Contents

Internship provides an opportunity to practice and/or apply knowledge and skills in professional environments and gain valuable work experience. Through the Internship students get exposure to the industrial environment which cannot be simulated in the classroom. During the internship, students have to understand and sharpen the real-time technical/managerial skills required at the job(s). Further, they have to Understand the social, economic, and administrative considerations that influence the working environment of industrial organizations. Overall professional development of students required problem-solving, communication, human development, and relationship-building skills. Students select the internship field in consultation with an industry mentor and faculty guide in terms of the academic requirements. The student is supposed to produce a joining letter and a successful completion certificate. once the internship is over. Internship evaluation can be based on the quality of projects completed as part of the internship activities. Faculty Member(s) has to evaluate(s) the performance of students once by visiting the Industry/Organization and the Evaluation Report of the students’ needs to submit in the department office with the consent of Industry persons/ mentor. The students will be exposed to the industry environment for a minimum period of 08 weeks duration to understand the operation of the industrial facility.

References

• https://www.youtube.com/watch?v=jpf9J2TUJVg
• https://www.youtube.com/watch?v=KqIshDsg494
• https://www.youtube.com/watch?v=E1UcIHW5rSc
• https://www.youtube.com/watch?v=EhnfOUrFgxM

Learning Outcomes

• CLO 1: Analyze the assigned task and solve it by applying critical thinking and problem-solving skills.
• CLO 2: Collaborate and communicate effectively with different professionals in the work environment.
• CLO 3: Communicate effectively through the technical presentation.
• CLO 4: Design solutions with contextual constraints, acquiring and applying new knowledge.
• CLO 5: Recommend solutions for improved processes and optimal use of resources.
• CLO 6: Evaluate career options by considering opportunities in industry and higher education and sharpen the real-time technical/managerial skills required at the job(s) during the internship.
• CLO 7: Demonstrate ethical and professional behavior in the work environment.

EET3E1 - EET Major Elective I

EET411 - Microelectronics

Course Contents

After finishing this course, students will be to analyze and design advanced analog circuits. Build the fundamental circuits for design of integrated circuits. Be able to determine the parameters, characteristics and specifications of analog circuits.

References

• “Analysis and Design of Analog Integrated Circuits”, Gray, Hurst, Lewis & Meyer
• "Fundamentals of Microelectronics”, Razavi
• “Design of Analog CMOS Integrated Circuits”, Razavi
• “Analog Integrated Circuit Design”, Johns & Martin

Learning Outcomes

• CLO 1: Students should be to analyze and design advanced analog circuits. CLO 2: Students should be to build the fundamental circuits for design of integrated circuits. CLO 3: Students should be tobe able to determine the parameters, characteristics and specifications of analog circuits.

EET412 - Detection & Estimation

Course Contents

Classical estimation, where the parameter to be estimated is deterministic, [minimum variance unbiased estimation (MVU), Cramer-Rao lower bound (CRLB), best linear unbiased estimator (BLUE), and least squares estimator)]. Bayesian estimation, where the parameter to be estimated is random [minimum mean square error estimator (MMSE), maximum a posteriori estimator (MAP), and linear MMSE estimator].

References

• H.L. Van Trees, Detection, Estimation, and Linear Modulation Th+F164eory, vol. I. John Wiley& sons, New York, 2001.
• Don. H. Johnson, Statistical Signal Processing: Detection Theory, Houston, TX, 2013.
• S. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory, Prentice Hall, 1993.
• S. Kay, Fundamentals of Statistical Signal Processing: Detection Theory, Prentice Hall, 1993.

Learning Outcomes

• CLO 1: The student should be familiar with classical estimation, where the parameter to be estimated is deterministic, [minimum variance unbiased estimation (MVU), Cramer-Rao lower bound (CRLB), best linear unbiased estimator (BLUE), and least squares estimator)]. CLO 2: The student should be familiar with Bayesian estimation, where the parameter to be estimated is random [minimum mean square error estimator (MMSE), maximum a posteriori estimator (MAP), and linear MMSE estimator].

EET421 - Optoelectronics

Course Contents

The course covers the Gaussian beam, which is the mode of propagation in free-space, optical communication. Topics include Bessel beams characterized by an unusually long focal length, optical tweezers useful for manipulating microbiological objects like DNA, and laser cooling leading to noise-free spectroscopy. In addition, the course comprehensively treats external field effects on crystals, such as the photorefractive effect. Moreover, the course deals with the state of polarization of light. Further, basic optical phenomena such as reflection and refraction, which depend on the state of polarization of the light, are discussed.

Learning Outcomes

• CLO 1: Understating the notion of Fabry–Perot resonators, beams, and radiation pressure.
• CLO 2: Discussing the optical properties of crystals under various external fields.
• CLO 3: Understanding polarization of light.

EET422 - Integrated Optics

Course Contents

The course explains how a light wave propagates through a planar optical guide, which is the foundation of integrated optics. The concept of propagation modes is fully explored. Cases for multilayer optical guides are also included. The course also presents optical fibers, which are the key components in optical communication systems. Important considerations in the choice of optical fibers are attenuation during transmission and dispersion causing distortion of the light pulse. Such special purpose optical fibers as the dispersion-shifted fiber, polarization-preserving fiber, diffraction grating imprinted fiber, and dual-mode fiber are described. In addition, the course contains a description of light detectors for laboratory as well as communication uses. Mechanisms for converting the information conveyed by photons into their electronic counterparts are introduced. Various detectors, such as the photomultiplier tube, the photodiode, and the avalanche photodiode, and various detection methods, such as direct detection, coherent detection, homodyne detection, and detection by stimulated Brillouin scattering, are described and their performance is compared for the proper choice in a given situation. Furthermore, the course briefly reviews of relevant topics in quantum electronics, followed by an in-depth look at optical amplifiers. The optical amplifier has revolutionized the process of pulse regeneration in fiber-optic communication systems. Moreover, the course overviews different types of lasers, followed by an in-depth treatment of semiconductor lasers, which are the preferred light sources for most fiber-optic communication systems. The basic relationship among the laser structure, materials, and operational characteristics are clarified. The ability to tune the laser wavelength, which is indispensable to the wavelength division multiplexing of the communication system, is addressed. The quantum well, quantum wire, and quantum dot laser diodes that have low threshold current and hence a high upper limit on the modulation frequency are also included. The design skills developed throughout the course are interweaved with realistic problems in fiber-optic communication systems.

Learning Outcomes

• CLO 1: identifying the notion of planar optical guides for integrated optics, modes, and dispersion in optical fibers.
• CLO 2: Understating essential elements in integrated optics such as detection of light, optical amplifiers, transmitters, communication by fiber optics.

EET431 - VLSI Design

Course Contents

Overview of VLSI. Technologies for Micro and Nanostructures. Low Voltage and power design. Synchronous and Asynchronous Circuit Design. Architectures for VLSI Applications. Test and Measurement Techniques for VLSI Circuits.

References

• Anantha Chandrakasan, William J. Bowhill, Frank Fox, “Deign of high performance microprocessor circuits”
• John P. Uyemura, “Introduction to VLSI circuits and systems”

Learning Outcomes

• CLO 1: Performing an overview of VLSI.
• CLO 2: Understanding technologies for Micro and Nanostructures.
• CLO 3: Considering Low Voltage and power design.
• CLO 4: Identifying Synchronous and Asynchronous Circuit Design.
• CLO 5: Identifying Architectures for VLSI Applications.
• CLO 6: Addressing Test and Measurement Techniques for VLSI
• Circuits.

EET432 - Communication Electronics

Course Contents

Give an introduction to the basic concepts of electronic communication systems. Address the design of communication systems building blocks: multipliers, Oscillators, Frequency synthesizers and power amplifiers.Describe communications systems, such as amplitude modulation (AM), frequency modulation (FM), phase modulation (PM). Discuss some significant systems, such as television systems, satellite communications systems

References

• Wayne Tomasi, “Electronic Communication Systems,” Prentice Hall, ISBN: 0-13-049492-5
• Frank R. Dungan, “Electronic communications systems,” PWS Publishers, ISBN 0-534-07698-x
• William schweber, “Electronic Communications systems: Acomplete Course,” Prentice Hall, ISBN 0-13-590092-1
• Behzad Razavi, “RF Microelectronics,” Prentice Hall PTR, ISBN 0-13-887571-5

Learning Outcomes

• CLO 1: Give an introduction to the basic concepts of electronic communication systems
• CLO 2: Address the design of communication systems building blocks: multipliers, Oscillators, Frequency synthesizers and power amplifiers
• CLO 3: Describe communications systems, such as amplitude modulation (AM), frequency modulation (FM), phase modulation (PM)
• CLO 4: Discuss some significant systems, such as television systems, satellite communications systems

EET433 - Selected Topic in Electronics I

EET434 - Selected Topic in Electronics II

EET451 - Information Theory

Course Contents

Fundamentals of Information Theory (Information measures, Shannon’s theorems on source coding and channel coding, and the rate distortion theorem). Source Coding (Huffman Tunstall coding, Lempel-Ziv-Welch coding, Elias-Willems coding). Channel Coding (Channel coding theorems, Tree and trellis codes, Channel models, Band-limited Gaussian channels, Channel capacity, error probabilities). Cryptology (Classical methods of encryption and decryption, Symmetrical encryption techniques, Data encryption standard (DES), The RSA encryption technique, Private and public key systems, Key management, Electronic signatures).

References

• T. Cover and J. Thomas, “Elements of Information Theory”, 2nd Edition, John Wiley & Sons, 2006, ISBN-13: 978-0471241959
• R. W. Yeung, “Information Theory and Network Coding”, Springer, 2008, ISBN-13: 978-0387792330
• S. Lin and D. J. Costello, “Error Control Coding: Fundamentals and Applications”, Prentice-Hall, Inc., ISBN: 0-13-283796-4
• David J. C. MacKay, “Information Theory, Inference and Learning Algorithms”, Cambridge University Press, 2003, ISBN-13: 978-0521642989
• B. Schneider, “Applied Cryptography”, John Wiley & Sons, 2015, ISBN-13: 978-1119096726

Learning Outcomes

• CLO 1: Understand the fundamentals of Information Theory (Information measures, Shannon’s theorems on source coding and channel coding, and the rate distortion theorem). CLO 2: Understand Source Coding (Huffman Tunstall coding, Lempel-Ziv-Welch coding, Elias-Willems coding). CLO 3: Understand Channel Coding (Channel coding theorems, Tree and trellis codes, Channel models, Band-limited Gaussian channels, Channel capacity, error probabilities). CLO 4: Understand the meaning of Cryptology (Classical methods of encryption and decryption, Symmetrical encryption techniques, Data encryption standard (DES), The RSA encryption technique, Private and public key systems, Key management, Electronic signatures).

EET452 - Modulation & Coding

Course Contents

Communications: Modulation and Coding constitute two thirds of the soul of digital communications. Networks: In order to design a communication network, a good understanding of the physical layer capabilities of such a network is of significant importance.

References

• B. Sklar, “Digital Communication: Fundamentals and Applications”, 2nd Edition, Prentice-Hall, 2001, ISBN 0-13-084788-7
• J. G. Proakis, “Digital Communications”, 4th Edition, McGraw-Hill, 2001, ISBN 0-07-118183-0
• S. Haykin, “Communication Systems”, 4th Edition, Wiley, 2000, ISBN 0-471-17869-1
• R. D. J. van Nee, “OFDM for Wireless Multimedia Communications”, Artech House Publishers, 1999, ISBN 978-0890065303

Learning Outcomes

• CLO 1: Review the basics of modulation and coding.
• CLO 2: Address the trade-offs of modulation and coding.
• CLO 3: Address the state-of-the-art digital modulation techniques.
• CLO 4: Address the state-of-the-art coding techniques.
• CLO 5: Identify how modulation and coding complement each other in the latest generations of digital communications.

EET453 - Source Coding & Compression

Course Contents

Introduction to digital communication system. Definitions of source and data compression. The basics mathematical knowledge needed for source modeling (Probability, Random variables, and random processes). Brief review of the basics of information theory and source modeling. Efficient Source Coding and Prefix Code. Lossless Compression Techniques, Shannon Fano Code, Huffman Code, Conditional Huffman Code, Adaptive Huffman Code, Tunstall Code, Tunstall Code. Arithmetic codes and Dictionary codes.

References

• Khalid Sayood, Introduction to Data Compression, Morgan Kaufmann, 3rd. Ed., 2006

Learning Outcomes

• CLO 1: Revise the basic concepts in a digital communication system. CLO 2: Define source and data compression. CLO 3: Review the basics mathematical knowledge needed for source modeling (Probability, Random variables, and random processes). CLO 4: Review the basics of information theory and source modeling. CLO 5: Understand efficient Source Coding and Prefix Code. CLO 6: Identify Lossless Compression Techniques, Shannon Fano Code, Huffman Code, Conditional Huffman Code, Adaptive Huffman Code, Tunstall Code, and Tunstall Code. CLO 7: Identify Arithmetic codes and Dictionary codes.

EET454 - Adaptive Antennas

Course Contents

Generally our objective is to understand the relationship between smart antennas and modern communication systems concerning [the reason for adaptive antenna system, adaptive antenna capability, NB vs. WB traditional BF, distinguish between BF and beam steering, and different algorithms for adaptive antennas]. Temporal reference BF.[Steepest descent method, Least Mean square (LMS),.Direct Matrix Inversion (DMI), Recursive Least Square (RLS)]. Blind Algorithm [Constant Modulus Algorithm (CMA)]. Spatial reference BF (DoA) [Fourier Method,.Capon’s minimum variance,.MUltiple SIgnal Classification (MUSIC), Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT)].

References

• Simon Haykin, “Adaptive Filter Theory”, 3rd edition, Prentice‐Hall Inc 1996
• B. Allen and M. Ghavami, “Adaptive Array Systems", John Wiley & Sons 2005
• J. Proakis and D. Manolakis, “Digital Signal Processing” ,Pearson 2007

Learning Outcomes

• CLO 1: Understand the relationship between smart antennas and modern communication systems concerning [the reason for adaptive antenna system, adaptive antenna capability, NB vs. WB traditional BF, distinguish between BF and beam steering, and different algorithms for adaptive antennas].
• CLO 2: Identify temporal reference BF.[Steepest descent method, Least Mean square (LMS),.Direct Matrix Inversion (DMI), Recursive Least Square (RLS)]. CLO 3: Identify blind algorithm [Constant Modulus Algorithm (CMA)]. CLO 4: Identify spatial reference BF (DoA) [Fourier Method,.Capon’s minimum variance,.MUltiple SIgnal Classification (MUSIC), Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT)].

EET455 - Radar Technology

Course Contents

Basic functions of wave propagation. Introduction to radar systems. Pulse radars. Continuous wave radars. Coherent and noncoherent radars. Milimetric wave radars. Radar antennas. Synthetic aperture radar. Search and tracking radars. GPS,ILS,MLS.

References

• M. I. Skolnik “Introduction to Radar Systems”, McGraw-Hill Book Company
• L. Warren et al. “Antenna Theory and Design”, John Wiley & Sons ISBN 0-471-02590-9
• D. Pozar “Microwave and RF Wireless Systems”, John Wiley & Sons

Learning Outcomes

• CLO 1: Introduce various schemes of radar wave propagation and MW transmission
• CLO 2: Understand the radar concept
• CLO 3: Study some types of radars and antennas
• CLO 4: Understand the navigation support systems
• (ILS, MLS and GPS)

EET491 - EET Project III

Course Contents

- This course enables the students to exercise some of the knowledge and/or skills developed during the program in a new situation or problem for which there are number of engineering solutions. Further, they do market surveys about raw materials, components or finished products and identify the ethical societal and environmental issues related to the project (if there are any). The student also develops the ability to design, implement and test systems, hardware, or software. This course includes planning the tasks to be completed within the time allocated, and in turn, helps to develop the ability to plan, use, monitor, and control resources optimally and economically. Through this course, the student develops creativity, initiative, and capacity to perform. The leadership, supervisory, planning, and organizational skills are integrated into the learning objectives of this course. The projects has a detailed project proposal, which is executed or implemented within the time allocated, simultaneously maintaining a logbook, periodically monitored by the professor mentor. Projects are chosen so that they can be completed using students’ problem-solving capabilities and depth of learning. A detailed project report is to be prepared as the project progresses, which is to be submitted after the project is over. The student acquires the basic background necessary to conduct research on advanced topics in a chosen subject area.

References

• https://www.youtube.com/watch?v=AwH6drwfuAU
• https://www.youtube.com/watch?v=GQVoxaucS44
• https://www.youtube.com/watch?v=fsR8Cm5NBMg
• https://www.youtube.com/watch?v=EjQYvCXaMG4
• https://effectiveu.umn.edu/capstone/additional-resources

Learning Outcomes

• CLO 1: Assess the impact of the project on society (if there is any)
• CLO 2: Conduct Feasibility studies, Design projects, and Market surveys about raw materials, components or finished products
• CLO 3: Design, plan and propose a project according to user requirements.
• CLO 4: Apply project development methodologies appropriate to the project
• CLO 5: Collaborate with team members to develop the prototype of the Application
• CLO 6: Identify the ethical societal and environmental issues related to the project (if there are any)
• CLO 7: Communicate project ideas and current work achievements clearly through technical report and presentations.

EET492 - EET Project IV

Course Contents

This course enables the students to exercise some of the knowledge and/or skills developed during the program in a new situation or problem for which there are number of engineering solutions. In this course, the students apply the knowledge gained during the program to design and prototype a software application that meets user needs and expectations. Further, they evaluate the impact of the product or system or process on society and draw conclusions. This course includes planning the tasks which are to be completed within the time allocated, and in turn, helps to develop the ability to plan, use, monitor, and control resources optimally and economically. Through this course, the student develops creativity, initiative, and capacity to perform. The student develops leadership and supervision skills which are integrated into the learning objectives of this course. The projects have a detailed project proposal, which is executed or implemented within the time allocated, simultaneously maintaining a logbook periodically monitored by the professor mentor. Projects are chosen so that they can be completed using students’ problem-solving capabilities and depth of learning. A detailed project report is prepared as the project progresses, which is submitted after the project is over. The students acquire the basic background necessary to conduct research on advanced topics in a chosen subject area.

References

• https://www.youtube.com/watch?v=AwH6drwfuAU
• https://www.youtube.com/watch?v=GQVoxaucS44
• https://www.youtube.com/watch?v=fsR8Cm5NBMg
• https://www.youtube.com/watch?v=EjQYvCXaMG4
• https://effectiveu.umn.edu/capstone/additional-resources

Learning Outcomes

• CLO 1: Demonstrate the ability to apply the knowledge to design and prototype a software/hardware application that meets user needs and expectations.
• CLO 2: Design the project acquiring and applying new knowledge through literature review.
• CLO 3: Design computing/hardware solutions considering economical, environmental, cultural, global impact and technical aspects.
• CLO 4: Assess the impact of technical and system constraints to select optimal solutions.
• CLO 5: Evaluate the impact of the product or system or process on society and draw conclusions.
• CLO 6: Demonstrate teamwork through regular formal team meetings, project management, class presentations, and a final design presentation.
• CLO 7: Assess the ethical and legal impact of the implemented product or system or process.
• CLO 8: Write a technical report in a standard format and give an oral presentation.
• CLO 9: Design and implement the project with modern engineering tools and software.

EET4E1 - EET Major Elective II

Department of Computer Engineering Technology

CET111 - Introduction to Computer and Programming

Course Contents

Computer programming performs a particular computation by designing and building an executable computer program. Students learn programming languages, software projects, organizing code, working with data, variables and strings, control constructs, constructors, destructors, functions, recursion, arrays, and programming tools. At the first stage, the student learns to identify the requirements for creating a computer program using various programming development paradigms commonly used and then identify the differences between compiled and interpreted programming languages. They learn various components used in constructing computer programs by identifying the differences between input and output data, simple/primitive data types, the advantages of modular programming using subroutines/procedures, different types of control structures, various types of operators used in programming. In order to generate a computer program, students are made aware of differences between compiled programs that use languages such as C, C++, or VB to generate applications though the course can focus on C++ programs. The knowledge and skills set of each stage in programming includes displaying syntax and semantics, algorithms, data structures, and program constructs. The system provides an opportunity for students to learn how programs are created in the abstract before applying that knowledge and the fact that such programs are usually developed through different stages of software development. Program testing is conducted for each program developed by the students. Students further learn about user-defined types, classes, references, pointers, memory management, object-oriented programming characteristics, exception handling, and input/output streams. Lectures, lab sessions, assignments and projects will be used to deliver the course.

References

• Wassberg, J. (2020). Computer Programming for Absolute Beginners: Learn essential computer science concepts and coding techniques to kick-start your programming career. Packt Publishing Ltd.
• Forouzan, B. A., & Gilberg, R. F. (2020). C++ Programming: An Object-Oriented Approach. McGraw-Hill Education.
• https://www.learncpp.com (Retrieved from the Internet 10/11/2022)
• https://researchcomputing.princeton.edu/education/external-online-resources/cplusplus(Retrieved from the Internet 10/11/2022)
• https://www.w3schools.com/cpp/(Retrieved from the Internet 10/11/2022)
• https://www.tutorialspoint.com/cplusplus/index.htm(Retrieved from the Internet 10/11/2022)

Learning Outcomes

• CLO 1: Define a programming environment for program writing.
• CLO 2: Describe the principles of data, variable and strings related to given problem.
• CLO 3: Explain how programming can be useful in day-to-day life.
• CLO 4: Identify, and solve problems using programming techniques to provide good solutions.
• CLO 5: Demonstrate the basic concepts of control and structured programming using functions, arrays and pointers for implementation of program.
• CLO 6: Execute, debug and test application programs to validate the outcome.
• CLO 7: Write lab programs and present the results.

Tutorials

• WEEK 1: Induction to Lab policies, reports
• WEEK 2: Introduction to TURBO C++ IDE and Programming Environment
• WEEK 3: C Building Blocks
• WEEK 4: Decision making the if and if-else structure
• WEEK 5: Decision making the Switch case and conditional operator.
• WEEK 6: Loop Constructs in C++ Language.
• WEEK 7: Nested looping
• WEEK 8: Arrays in C++ (single dimensional).
• WEEK 9: Arrays in C++ (Multidimensional).
• WEEK 10: Structures and Unions.
• WEEK 11: Pointers in C++
• WEEK 12: Pointers with arrays and function.
• WEEK 13: File Handling in C++
• WEEK 14: Error Handling in C++
• WEEK 15: Lab Final Exam.

CET112 - Object Oriented Programming

Course Contents

Software industry uses the object-oriented programming (OOP) model to organize software design around data or objects rather than functions and logic. Object oriented programming concepts are important in building the foundation for any application program. In the first phase of the course, students are introduced to the principles and practices of system analysis and design. Students learn object‐oriented programming design, decision statements, control statements, loops, arrays, class and objects, inheritance (single, multilevel, and hierarchical) and polymorphism. Other topics in the course are abstraction, encapsulation, information hiding, association, aggregation, and collection, coupling and cohesion, use of standard object libraries, interfaces, exception handling, object-oriented design, recursions, database connectivity and design of user interface in the Java programming environment. Thus, knowledge and skills of the course cover visibility of attributes and operations (private, public, protected) with object-oriented life cycles pattern. Students further learn to implement a solution from an object-oriented design using techniques with operators and control structures, defining, accessing, and manipulating data structures, creating constructor methods and method overloading etc. A final test of the entire course will be to assess how students have achieved the skills to write programs constructed from objects and classes, hide internal workings of objects by encapsulation, create new classes by inheriting properties and methods from existing classes and create a single interface to entities of different types by means of polymorphism. The teaching approach include lectures, learning by doing sessions, assignments, and project.

References

• Dean, J., & Dean, R. (2021). Introduction to programming with Java: a problem-solving approach. McGraw-Hill.
• https://docs.oracle.com/en/java/ (Retrieved from the Internet 06/11/2022)
• https://www.tutorialspoint.com/java/java_documentation.htm (Retrieved from the Internet 06/11/2022)
• https://www.geeksforgeeks.org/introduction-object-oriented-programming-javascript/ (Retrieved from the Internet 06/11/2022)
• https://www.javatpoint.com/java-oops-concepts (Retrieved from the Internet 06/11/2022)

Learning Outcomes

• CLO 1: Identify the object-oriented programming concepts to provide solutions to complex computing problems.
• CLO 2: Articulate a small-scale object-oriented application and present experimental results.
• CLO 3: Demonstrate and implement the concept of inheritance and abstractions for different contexts in teams.
• CLO 4: Examine and communicate the concept of polymorphism, pointers and virtual function for programming level administration in team.
• CLO 5: Recognize concepts of strings, files and exception handling for given set of computing requirements.
• CLO 6: Compile good programming practices in object-oriented programming to make informed judgements.
• CLO 7: Write lab experiments to implement object oriented programming concepts and present lab report.

Tutorials

• WEEK 1: Induction of lab policies, rules, and record writing
• WEEK 2: Introduction to Object Oriented Programming Concepts.
• WEEK 3: Implementing Data Type.
• WEEK 4: Functions for natural numbers/grid pattern
• WEEK 5: Program with Decisions, control statements and Loops
• WEEK 6: Program with Arrays and Array Lists
• WEEK 7: Class and objects.
• WEEK 8: Program with Inheritance and Interfaces.
• WEEK 9: Program with Exception Handling.
• WEEK 10: Use of Built-in functions.
• WEEK 11: Programs with Recursion.
• WEEK 12: Programs with Database
• WEEK 13: Programs with Web connectivity
• WEEK 14: Programs with GUI
• WEEK 15: Lab Final Exam.

CET113 - Introduction to Computing and Technology

Course Contents

This course offers an essential introduction to the world of computing and technology. Students will explore the fundamental concepts of computer science, including hardware, software, and networking. The course covers the basics of programming, data management, and the societal impact of technology. Through a combination of lectures, hands-on labs, and projects, students will gain a practical understanding of how computers work and how they can be used to solve real-world problems. By the end of the course, students will be equipped with the foundational knowledge required for more advanced studies in computer science and information technology.

Learning Outcomes

• CLO 1: Understand and explain the basic components of a computer system (hardware and software) and their functions.
• CLO 2: Demonstrate fundamental programming skills.
• CLO 3: Comprehend the principles of data management and data representation.
• CLO 4: Analyze the societal impact of computing and technology.
• CLO 5: Develop problem-solving and critical thinking skills using computational methods.
• CLO 6: Familiarize with current trends and future directions in computing and technology.

CET121 - Digital Logic Design

Course Contents

Digital design is used in digital electronics circuits and computers architecture, combine digital components to create circuits that perform fundamental computing tasks such as arithmetic and storage of information. Topics covered include number conversion like Binary to Octal, Binary to Hexadecimal, Binary to Gray code, Binary to BCD and vice versa. It also covers the 1s complement and 2s complement addition and subtractions. The student learns the realization of digital circuits using AND, OR, NOT, XOR Gates, representation of logical functions in Sum of Products, Products of Sum form, concept of minterms and maxterms, minimizing the digital circuits using Boolean algebra, three variable, four variable and five variable Kaurnaugh Map. The student learning also includes the 2x1, 4x1, 8x1 multiplexer, demultiplexers, encoders and decoders, parallel and series adders and subtractors. The course topics include the sequential circuits using SR, JK, T and D flip flops, synchronous and asynchronous counters, shift registers, state diagram and reduction. Students extend their knowledge to practice by way of hands-on laboratory exercises where various hardware tools are used to design and test solutions for real-world applications. Students understand the design of digital computing systems at their most fundamental level and are able to design such systems using modern tools and techniques. Design problems and assignments will be used in delivering the course.

References

• Roger L. Tokheim, Patrick E. Hoppe (2021), Digital Electronics: Principles and Application, 9th Edition (Mc Graw Hilll)
• https://www.tutorialspoint.com/digital-electronics-flip-flops-and-their-types
• https://www.javatpoint.com/number-system-in-digital-electronics
• https://www.electrically4u.com/types-of-counter-in-digital-circuit

Learning Outcomes

• CLO 1: Describe the binary, octal, hexadecimal number system and calculate the conversions.
• CLO 2: Illustrate logic of various logic gates and express as sum of product and product of sum form.
• CLO 3: Make Combinational Circuit using minimization techniques, Boolean algebra, Karnaugh Map to develop digital logic circuits.
• CLO 4: Use of sequential logic SR, JK, D, T Flip flops to design digital circuits.
• CLO 5: Draw and explain multiplexer, De-multiplexer, decoder and encoder circuits.
• CLO 6: Apply different method to design asynchronous and synchronous counters using state diagram to understand different logic families.
• CLO 7: Demonstrate experiment in combinational, sequential circuits to learn the logic design and prototyping process in order to acquire requisite hands-on skills and report the results in formatted written document.

Tutorials

• WEEK 1: To verify truth table of logic gates using IC’s
• WEEK 2: To verify half adder, full adder, half subtractor, full subtractor using gates.
• WEEK 3: To design a 4-bit BCD to Excess-3 code converter and verify truth table.
• WEEK 4: To design circuit for binary to grey code converter and verify truth table.
• WEEK 5: To perform experiment in multiplexer and De-multiplexer and verify the truth table.
• WEEK 6: To verify the truth table of R-S, J-K flip flops
• WEEK 7: To verify the truth table of D , T-flip flops
• WEEK 8: To design a 4-bit serial in serial out shift register
• WEEK 9: To design a 4-bit serial in parallel out shift register
• WEEK 10: To design a 4-bit parallel in serial out shift register
• WEEK 11: To design a 3-bit asynchronous UP-counter using J-K flip flops.
• WEEK 12; To design a 3-bit synchronous Down counter using J-K flip flops
• WEEK 13: To design binary to grey code converter and verify truth table
• WEEK 14: To design BCD to Seven segment display
• WEEK 15: Lab Final Exam

Laboratories

• WEEK 1: Numerical on Binary to Decimal, Binary to Hexadecimal and Octal and vice versa
• WEEK 2: Numerical on BCD to Gray, Decimal to BCD and vice versa
• WEEK 3: Numerical on 1s complement subtraction
• WEEK 4: Numerical on 2s complement subtraction
• WEEK 5: Numerical on simplifying the Boolean expressions
• WEEK 6: Numerical on 2 and 3 variable K Map
• WEEK 7: Numerical on 4 Variable and 5 variable K Map
• WEEK 8: Drawing 8x1 Multiplexer and 1x8 Demultiplexer
• WEEK 9: Drawing encoders and decoders
• WEEK 10: Designing UP counter using Flip Flop
• WEEK 11: Designing Down counter using Flip Flop
• WEEK 12: Designing serial to parallel converter using shift registers
• WEEK 13: Designing parallel to serial converter using shift register.
• WEEK 14: Implementing Boolean expression using PAL
• WEEK 15: Implementing Boolean expression using PROM

CET122 - Introduction to Computer I

Course Contents

This course is your gateway to the digital world! We'll embark on a journey to understand the fundamental building blocks of computers, from the physical components you can see to the software programs that make them tick. You'll delve into the inner workings of hardware, like the CPU, memory, and storage devices, gaining a clear picture of how they work together to process information. We'll also explore basic software concepts like operating systems and common application software, equipping you with the skills to navigate your computer with confidence. The course won't stop there! We'll introduce you to the fascinating world of programming, providing a glimpse into how computers understand and execute instructions. You'll learn basic programming concepts like variables, data types, and simple algorithms, giving you a taste of the logic behind creating software. By the end, you'll have a solid foundation in computer hardware and software, empowering you to use computers effectively and explore the vast possibilities of technology.

References

• Computers & Technology by Floyd P. Hassel (Latest Edition)
• Absolute Beginner's Guide to Computer Basics by Greg Perry (Latest Edition)
• How Computers Work by Ron White (Latest Edition)
• Illustrated Guide to PC Hardware & Upgrades by Roger A. Grimes (Latest Edition)
• Python Crash Course by Eric Matthes (Latest Edition)

Learning Outcomes

• Identify and explain the functions of major computer hardware components.
• Understand the role of software, including operating systems and application software.
• Navigate a computer operating system effectively.
• Grasp basic programming concepts like variables, data types, and algorithms.
• Apply basic troubleshooting techniques for common computer issues.
• Communicate effectively about computer technology using appropriate terminology.

CET123 - Introduction to Computer II

Course Contents

This advanced-level course builds upon your existing programming knowledge to delve deeper into the fundamentals of software development using Python. We'll explore advanced programming concepts like data structures (lists, dictionaries, etc.), algorithms (problem-solving strategies), and basic object-oriented programming (OOP) principles. Through hands-on projects and coding exercises, you'll gain practical experience in designing, writing, testing, and debugging complex Python programs. You'll also learn essential software development practices like version control and collaboration with other programmers. By the end of this course, you'll be well-equipped to tackle real-world programming challenges with confidence and build robust software applications.

References

• Fluent Python by Luciano Ramalho (Latest Edition)
• Automate the Boring Stuff with Python by Al Sweigart (Latest Edition)
• Python Crash Course by Eric Matthes (Latest Edition)
• Think Python: How to Think Like a Computer Scientist by Allen B. Downey (Latest Edition)
• Data Structures and Algorithms in Python by Michael T. Goodrich, Roberto Tamassia, and Michael H. Goldwasser (Latest Edition)

Learning Outcomes

• Implement advanced data structures like dictionaries and sets to organize and manipulate data efficiently.
• Utilize algorithms for sorting, searching, and other computational tasks to solve problems effectively.
• Employ exception handling and debugging techniques to create robust and reliable software.
• Write unit tests to ensure the functionality and accuracy of your code.
• Leverage the vast array of Python libraries and frameworks for specific programming needs.
• Communicate code design and functionality effectively through clear documentation.

CET141 - Database Management Systems

Course Contents

Database management system provides the foundation needed for a career in database development or data warehousing for business intelligence specialization. Students will learn to create relational databases, write MySQL statements to create tables with relationships in a database, extract information to satisfy business reporting requests, create entity relationship diagrams (ERDs) to design databases, and analyze table designs using database querying, optimization techniques, database tuning, normalization techniques, transaction processing, concurrency control and recovery and new application developments. The course helps students understand the fundamentals of database design with knowledge and skills of concepts and terminology of the entity-relationship model, primary and foreign keys, the process of normalization while creating a database structure with integrity constraints and table subsets. Students further learn to develop SQL commands to manage database information through building basic queries, using expressions in a select clause, retrieving specific rows from tables, grouping data records, sorting data records, and joining data in related tables. The course expects students to gain thorough knowledge of entity, relationship, attribute, domain, Associations: 1:1, 1:M, M:N, table; column, row, field, rules for relational data model (for example, unique identifier (atomic)) and the purpose and uniqueness of keys in a database system and all the normalization forms such as UNF, 1NF, 2NF and 3NF and the purpose of each stage of normalization. Lectures, practical lab sessions, and assignments will be used to deliver the course.

References

• Ramez Elmasri, Shamkant B. Navathe (2022). Fundamentals of Database Systems Seventh Edition, 7th Edition. PEARSON.
• Abraham Silberschatz , Henry Korth, S. Sudarshan (2022), Database System Concepts 7th Edition, McGraw-Hill
• https://dev.mysql.com/doc/(Retrieved from the Internet 04/11/2022)
• https://dev.mysql.com/doc/workbench/en/(Retrieved from the Internet 04/11/2022)
• https://www.oracle.com/technetwork/mysql-hands-on-lab-403032.pdf(Retrieved from the Internet 04/11/2022)

Learning Outcomes

• CLO 1: Associate a conceptual schema from real-world problems, restate program-data independence, data models for database systems, and database schema and database instances as per user requirements.
• CLO 2: Make relational models to create and implement the database using SQL.
• CLO 3: Examine relational algebra and tuple calculus in DBMS to determine and restate a database, with free from anomalies.
• CLO 4: Define and administer query processing techniques for database optimization and tuning.
• CLO 5: Distinguish various concurrency control techniques, security and recovery methods for regaining the database in critical circumstance.
• CLO 6: Execute, debug and test SQL queries to validate the outcome.
• CLO 7: Write lab reports and present results.

Tutorials

• WEEK 1: Familiarize lab policies, rules and lab record writing / Understand the MySQL Workbench environment.
• WEEK 2: Understand Database/ Structures / tables.
• WEEK 3: Database Key(s) and relationships.
• WEEK 4: Use of Primary Key and relationships.
• WEEK 5: Querying Using various SQL statements.
• WEEK 6: Use of Foreign Key in tables.
• WEEK 7: Use functions in SQL statements.
• WEEK 8: Complicated relational DB creations with constraints.
• WEEK 9: Complex Queries.
• WEEK 10: Triggers and Views.
• WEEK 11: Table modifications, DML Commands.
• WEEK 12: Update statements
• WEEK 13: Use of Joins.
• WEEK 14: Use of PL/SQL.
• WEEK 15: Lab Final Exam.

Laboratories

• WEEK 1: Software engineering worldwide practices.
• WEEK 2: Software Life Cycle Models.
• WEEK 3: Quality Standards like ISO 9001, SEI-CMM
• WEEK 4: Design Metrics, Data Structure Metrics, Information Flow Metrics
• WEEK 5: Cost estimation, static, Single, and multivariate models, COCOMO model, Putnam Resource Allocation Model
• WEEK 6: Problem analysis, software requirement and specifications, behavioral and non-behavioral requirements, coupling and cohesion.
• WEEK 7: Function oriented design, object-oriented design, user interface design, top-down and bottom-up structured programming and information hiding.
• WEEK 8: Reliability Models: Basic Model, Logarithmic Poisson Model
• WEEK 9: Functional testing: Boundary value analysis, Equivalence class testing
• WEEK 10: Data flow and mutation testing, unit testing, integration, and system testing, Debugging, Testing Tools, & Standards.
• WEEK 11: Decision table testing, Cause effect graphing
• WEEK 12: Management of maintenance, Maintenance Process, Maintenance Models
• WEEK 13: Reverse Engineering, Software Reengineering
• WEEK 14: Software Risk Management.
• WEEK 15: Case studies on general software production companies.

CET161 - Network Basics

Course Contents

The industry needs professionals who understand the basics of networks, which are the backbone for exchanging data/resources. Students learn how data is sent and received in a computer network and how small computer networks are created. The student learns about device configuration, protocols, and models, layering concepts, security fundamentals, and wireless networks. IP addressing within the context of the internet and intranet are discussed in various practical’s along with network components, like, switches, routers, and hubs. The student learning also includes building simple and complex networks, visualize how a network works, integrate devices, or automate the network using packet tracer (a simulation tool by CISCO Systems). The topics include Dynamic Host Configuration Protocol (DHCP) related to static and dynamic addresses, public and private, and Network Address Translation (NAT). The course includes implementation, design principles and goals of a computer network and touches upon the various routing algorithms. The student explores the principles of IP addressing and fundamentals of Ethernet concepts, media, and related operations. The topics also include basic networking concepts, various networking devices such as the hub, switches, routers etc., configuring various networking scenarios using packet tracer simulation and how to apply IP addressing schemes. Lectures, Practical lab sessions, simulations, and assignments, will be used to deliver the course.

References

• Press, C. (2020). Introduction to networks: companion guide (CCNAv7).
• Stallings, W. (2015). Data and Computer Communications, International Edition. Pearson Education UK.
• Alin, G. (2022). Practical assignments for CCNA7 COURSE, part 2: Switching Routing Wireless Essentials. Southeast Europe Journal of Soft Computing, 11(1), 13-18.
• Udemy, "Introduction to networking for complete beginners", https://www.udemy.com/course/introduction-to-networking-for-complete-beginners/, Accessed on 15.10.2022
• CISCO, "Networking Essentials", https://www.netacad.com/courses/networking/networking-essentials, Accessed on 15.10.2022
• UDACITY, Computer Networking, https://www.udacity.com/course/computer-networking--ud436 Accessed on 15.11.2022

Learning Outcomes

• CLO 1: Classify the different types of network devices to solve computing problems as per given requirement.
• CLO 2: Examine home and small business networks to connect with the Internet.
• CLO 3: Demonstrate the basic configuration process to accomplish group tasks related to IP services.
• CLO 4: Relate reference models and layered architectures in networking to apply, integrate and administer secure computing technologies as per user requirement.
• CLO 5: Analyze the principles of networking protocols and standards.
• CLO 6: Diagnose the process of troubleshooting in team for a small-scale computer network.
• CLO 7: Simulate, configure, and troubleshoot, network-based activity and prepare lab record for presentation.

Tutorials

• WEEK 1: Researching Network Collaboration Tools and Converged Network Services.
• WEEK 2: Packet Tracer - Network Representation Instructions and Navigating the IOS Instructions
• WEEK 3: Establishing a Console Session with Tera Term and Configuring Initial Switch Settings Instructions.
• WEEK 4: Building a Simple Network and Implementing Basic Connectivity Instructions.
• WEEK 5: Configuring a Switch Management Address and researching Networking Standards.
• WEEK 6: Investigating the TCP/IP and OSI Models in Action Instructions and using Wireshark to View Network Traffic.
• WEEK 7: Observing DNS Resolution and exploring FTP.
• WEEK 8: Using Wireshark to Observe the TCP 3-Way Handshake and to Examine a UDP DNS Capture.
• WEEK 9: Viewing Host Routing Tables and to configure Initial Router Settings Instructions.
• WEEK 10: Connect a Router to a LAN Instructions.
• WEEK 11: Identifying IPv4 Addresses and configuring IPv6 Addresses on Network Devices.
• WEEK 12: Troubleshooting IPv4 and IPv6 Addressing Instructions.
• WEEK 13: Implementing a Submitted IPv6 Addressing Scheme Instructions.
• WEEK 14: Connecting a Wired and Wireless LAN Instructions and managing Device Configuration Files Using TFTP, Flash, and USB.
• WEEK 15: Lab Final Exam.

CET171 - Business Foundation

Course Contents

This course equips IT and Network Engineers with a solid understanding of core business concepts critical for their success in today's technology-driven landscape. You'll gain insights into essential business functions like finance, marketing, project management, and operations. By exploring these areas, you'll develop a broader perspective, enabling you to collaborate more effectively with business stakeholders, understand the financial impact of IT decisions, and contribute to strategic technology initiatives. The course delves into financial statements, budgeting, cost analysis, and how IT projects are evaluated from a business standpoint. You'll also explore marketing principles to understand how technology solutions align with customer needs and market trends. Through interactive exercises and real-world case studies, you'll gain practical skills in project management methodologies and develop your communication abilities to present technical concepts to a non-technical audience.

References

• Business Acumen for IT Professionals by Kevin Berman (Latest Edition)
• IT Project Management: Strategies for Success by Michael Alkhalifa (Latest Edition)
• Financial Intelligence for IT Professionals by Cheryl McKinnon (Latest Edition)
• The Art of Innovation by Tom Kelley and David Kelley (Latest Edition)
• Strategic Communication for Business Leaders by Rebecca Rubin (Latest Edition)

Learning Outcomes

• Explain fundamental business concepts relevant to IT and Network Engineering.
• Analyze financial statements and apply cost-benefit analysis to technology projects.
• Implement project management methodologies and best practices.
• Develop marketing awareness and understand how technology aligns with business objectives.
• Communicate technical information effectively to a non-technical audience.

CET191 - CET Internship I

Course Contents

Internship provides an opportunity to practice and/or apply knowledge and skills in professional environments and gain valuable work experience. Through the Internship students get exposure to the industrial environment which cannot be simulated in the classroom. During the internship, students understand and sharpen the real-time technical/managerial skills required at the job(s). Further, they understand the social, economic, and administrative considerations that influence the working environment of industrial organizations. Student learning includes overall professional development of students, required problem-solving, communication, human development, and relationship-building skills. Further, the students develop awareness of the organizational department structure and their roles, responsibilities, and function. Students select the internship field in consultation with an industry mentor and faculty guide in terms of the academic requirements. The student is expected to produce a joining letter and a successful completion certificate. once the internship is over. Internship evaluation can be based on the quality of projects completed as part of the internship activities. Faculty Member(s) evaluate(s) the performance of students once by visiting the industry/organization and submit the evaluation report of the students with the consent of Industry persons/ mentor. The students are exposed to the industry environment for 6 to 8 weeks duration to understand the operation of the industrial facility.

References

• https://www.youtube.com/watch?v=jpf9J2TUJVg
• https://www.youtube.com/watch?v=KqIshDsg494
• https://www.youtube.com/watch?v=E1UcIHW5rSc
• https://www.youtube.com/watch?v=EhnfOUrFgxM

Learning Outcomes

• CLO 1: Understand the Electronic industrial standards and recognize the requirement of these standards with the industrial scenario.
• CLO 2: Examine a specific project related to electrical engineering at an existing job.
• CLO 3: Communicate effectively through the technical presentation.
• CLO 4: Demonstrate individual confidence to handle various engineering assignments during the internship.
• CLO 6: Expose themselves to acquire life skills to meet societal challenges
• CLO 7: Relate the engineer’s responsibilities and ethics while handling various engineering assignments during the internship.
• CLO 8: Read the engineering drawings and if necessary, modify the parts/unit/assembly drawing of the electrical product.

CET211 - Data Structures & Algorithms

Course Contents

Data structure and algorithms are used for efficient data persistence. Students learn the concepts of functions, pointers, structures, linear and nonlinear data structure like arrays, array representation of stacks, operations associated with stacks- push & pop, polish expressions, conversion of infix to postfix, infix to prefix (and vice versa),application of stacks recursion, polish expression and their compilation, conversion of infix expression to prefix and postfix expression, tower of hanoi problem. The topics include queue: definition, representation of queues, operations of queues- insert, delete, priority queues, circular queue, deque. linked list, linked list-based implementation of stacks and queues, trees: basic terminology, binary trees and their representation, expression evaluation, complete binary trees, extended binary trees, traversing binary trees, searching, insertion and deletion in binary search trees, general trees, avl trees, threaded trees, b trees, graphs, spanning tree. The course covers traversing in a graph, various sorting and search techniques like insertion sort, bubble sort, selection sort, quick sort, merge sort, heap sort, partition exchange sort, shell sort, sorting on different keys, external sorting. linear search, binary search, hashing: hash functions. The student learning also includes collision resolution techniques and the use of basic algorithm analysis including both theoretical and empirical methods. Lab sessions include the implementation of stack, quest, linked list, tree, graphs, sorting and searching discussed during the course.

References

• Balagurusamy, E. (2017). Data Structures using C., MC GRAW HILL. ISBN-10: 1259029549, ISBN-13: 978-1259029547
• Seymour, L. (2010). Data Structures with C., MC GRAW HILL INDIA, ISBN-10: 0070701989, ISBN-13: 978-0070701984
• https://nptel.ac.in/courses/106102064
• https://www.geeksforgeeks.org/data-structures/
• https://www.programiz.com/dsa/data-structure-types
• https://www.tutorialspoint.com/data_structures_algorithms/index.htm
• https://www.javatpoint.com/data-structure-tutorial

Learning Outcomes

• CLO 1: Apply advance programming techniques such as pointers, dynamic memory allocation, structures to solve the computing problems.
• CLO 2: Use abstract data types such as lists, stacks, queues, and trees to develop a computational model.
• CLO 3: Demonstrate the ability to work in a team to design the solution using linear and nonlinear data structure algorithms for computing problems and present it.
• CLO 4: Examine the sorting and searching algorithms to select the suitable algorithm for optimum solution.
• CLO 5: Classify the graph algorithms to model engineering problems, when appropriate.
• CLO 6: Use the concepts of data structure to write the program for a given problem in the lab.
• CLO 7: Write the lab report and present output results.

Tutorials

• WEEK 1: Lab Induction, Course Policies and, program on arrays.
• WEEK 2: Implement the arrays and pointer concepts.
• WEEK 3: Stack implementation.
• WEEK 4: Queue implementation.
• WEEK 5: Linear and Binary Search implementation.
• WEEK 6: Implementation of sorting algorithms.
• WEEK 7: Implementation of sorting algorithms.
• WEEK 8: Implement singly linked lists
• WEEK 9: Implement doubly linked list
• WEEK 10: Implement tree concepts
• WEEK 11: Implement tree concepts
• WEEK 12: Implement graph algorithms
• WEEK 13: Implement graph algorithms
• WEEK 14: Open End Problems/Projects
• WEEK 15: Lab Final Exam

Laboratories

• WEEK 1: Arrays
• WEEK 2: Stacks and Queue
• WEEK 3: Recursion and Tower of Hanoi
• WEEK 4: Binary and Linear Search
• WEEK 5: Quick and Merge Sort
• WEEK 6: Selection, Insertion and Bubble Sort.
• WEEK 7: Linked Lists
• WEEK 8: Binary Search Tree, Inorder, preorder and post order traversal.
• WEEK 9: AVL Tree
• WEEK 10: B Tree
• WEEK 11: Heap Sort, Max and Min Heap.
• WEEK 12: BFS and DFS.
• WEEK 13: Graphs: Adjacency matrix and adjacency lists.
• WEEK 14: Spanning Tree problems and algorithms.
• WEEK 15: Shortest path problems and algorithms.

CET212 - Operating Systems

Course Contents

The course is designed to introduce candidates to the issues involved in installing and administering a client operating system. It manages memory, processes, processor, software, and hardware. The primary purpose of this course is to understand processes of the operating systems and improve students' skills to install and troubleshoot the network. Students learn to install a client operating system, administer resources, implement, manage, and troubleshoot hardware devices and drivers, monitor, and optimize system performance and reliability, configure, and troubleshoot the desktop environment, implement network protocols and services, implement, monitor, and troubleshoot security, connect to resources using web browser, manage and troubleshoot firewall. Students understand stages in a setup process such as preparation of hard drive and copying files, product key information, regional information, adapter cards and post-installation requirements, familiarize themselves with the use of automated deployment techniques, processes, and software, distinguish between express and custom upgrades and be able to roll back an unsuccessful upgrade. Students learn to be aware of common errors and their possible causes, for example, inability to contact domain controller, error loading OS, failure of a service to start, lack of disk space, media errors, incompatible optical drive, etc. They also get to be familiarized with the log files created during installation and their use in troubleshooting. Lecture, Laboratory sessions, Assignment, projects, and presentations are used to deliver the course.

References

• ABRAHAM SILBERSCHATZ, PETER BAER GALVIN, GREG GAGNE, Operating system concepts, Tenth Edition, John Wiley & Sons, 2018
• https://learn.microsoft.com/en-us/windows-(Retrieved from the Internet 02/11/2022)
• hardware/manufacture/desktop/install-windows-from-a-usb-flash-drive?view=windows-11
• https://www.tutorialspoint.com/operating_system/operating_system_tutorial.pdf
• https://www.academia.edu/31599334/operating_system_tutorial_for_biginers

Learning Outcomes

• CLO 1: Install a client operating system.
• CLO 2: Implement, manage and troubleshoot hardware devices and drivers.
• CLO 3: Practice installation of windows operating system.
• CLO 4: Analyze and optimize system performance and reliability.
• CLO 5: Create a model of LAN system to learn the client-server architecture.
• CLO 6: Review and implement network protocols and services.
• CLO 7: Use the concepts of LAN networking to write the program for a given problem and write the lab report.

Tutorials

• WEEK 1: Introduction to Lab policies/ Lab Rules and reports
• WEEK 2: Perform manual and automated installations
• WEEK 3: Upgrade from an older version and apply post-installation updates
• WEEK 4: Troubleshoot installation problems.
• WEEK 5: Monitor, manage, and troubleshoot access to files, folders and share folders.
• WEEK 6: Connect to local or network print devices/ Configure and manage file systems.
• WEEK 7: Implement, manage, and troubleshoot disk devices and display devices.
• WEEK 8: Implement, manage, and troubleshoot input/output devices and update devices.
• WEEK 9: Monitor, optimize and troubleshoot system performance.
• WEEK 10: Manage and troubleshoot the use of offline files, recover system files and user data.
• WEEK 11: Configure and manage user profiles, desktop settings and accessibility services.
• WEEK 12: Configure and troubleshoot the TCP/IP protocol, firewall, connect to resources using a web browser.
• WEEK 13: Configure, manage, and troubleshoot file encryption, security configuration and local security policy.
• WEEK 14: Configure, manage, and troubleshoot local user and group accounts
• Week 15: Lab Final Exam.

CET213 - Software Engineering

Course Contents

Software Engineering is used for a systematic, disciplined and quantifiable approach for the development, operation, and maintenance of software. The knowledge and skills covered in the course are identification of attributes, identification of operations, visibility of attributes and operations (private, public, protected), and specification of appropriate association, aggregation, and inheritance relationships between classes. Students learn how robust software systems are built most economically to assure the best quality and maintenance techniques in the software industry through different lifecycle models, system analysis and design, agile methodologies, software reengineering techniques such as Lines of Codes (LOCs) and metric analysis, software test methods, reverse engineering models, association, aggregation, collaboration, coupling, cohesion, COCOMO models to calculate the time taken to develop and deliver a software economically and validate requirements using use case scenarios and user interface walkthroughs. Critical UML diagrams used here are the use case, state machine, activity, object, class diagrams etc. to learn how the engineering team can communicate requirements. Students also learn how to create use case scenarios which include pre and post conditions trigger event and the best-case scenario flow of events. Alternative or exceptional behavior must be included in one or more use case scenarios. The course will be delivered using lectures, lab sessions, projects, and case studies.

References

• David Farley (2022). Modern Software Engineering, 1st Edition. PEARSON.
• https://www.lucidchart.com/pages/uml-class-diagram(Retrieved from the Internet 01/11/2022)
• https://www.youtube.com/watch?v=w4gCAyvFFFo(Retrieved from the Internet 01/11/2022)
• https://www.geeksforgeeks.org/software-engineering-cocomo-model/(Retrieved from the Internet 02/11/2022)
• https://www.tutorialspoint.com/uml/index.htm(Retrieved from the Internet 01/11/2022)

Learning Outcomes

• CLO 1: Analyze the importance of software development life cycle process and agile systems for effective software development.
• CLO 2: Compare and use different cost-effective models to develop software products economically.
• CLO 3: Demonstrate Software Reengineering practices for software reuse.
• CLO 4: Determine and evaluate test methods for best software release practices.
• CLO 5: Design and develop software models for robust real time software products.
• CLO 6: Create UML (Unified Modelling Language) diagrams needed for the software development in the lab and present the output in lab records.

Tutorials

• WEEK 1: Use of Lucid Chart Tools
• WEEK 2: Introduction to Rational Rose
• WEEK 3: Use Case Diagrams
• WEEK 4: Activity Diagram in UML
• WEEK 5: State Diagram.
• WEEK 6: Sequence Diagram in UML
• WEEK 7: Object Diagram in UML
• WEEK 8: Object Diagram in UML.
• WEEK 9: Class Diagram in UML.
• WEEK 10: Class Diagram in UML.
• WEEK 11: Collaboration Diagram in UML.
• WEEK 12: Component Diagram in UML.
• WEEK 13: Deployment Diagram in UML.
• WEEK 14: Deployment Diagram in UML
• WEEK 15: Lab Final Exam.

Laboratories

• WEEK 1: Software engineering worldwide practices.
• WEEK 2: Software Life Cycle Models.
• WEEK 3: Quality Standards like ISO 9001, SEI-CMM
• WEEK 4: Design Metrics, Data Structure Metrics, Information Flow Metrics
• WEEK 5: Cost estimation, static, Single, and multivariate models, COCOMO model, Putnam Resource Allocation Model
• WEEK 6: Problem analysis, software requirement and specifications, behavioral and non-behavioral requirements, coupling and cohesion.
• WEEK 7: Function oriented design, object-oriented design, user interface design, top-down and bottom-up structured programming and information hiding.
• WEEK 8: Reliability Models: Basic Model, Logarithmic Poisson Model
• WEEK 9: Functional testing: Boundary value analysis, Equivalence class testing
• WEEK 10: Data flow and mutation testing, unit testing, integration, and system testing, Debugging, Testing Tools, & Standards.
• WEEK 11: Decision table testing, Cause effect graphing
• WEEK 12: Management of maintenance, Maintenance Process, Maintenance Models
• WEEK 13: Reverse Engineering, Software Reengineering
• WEEK 14: Software Risk Management.
• WEEK 15: Case studies on general software production companies.

CET214 - Web Programming

Course Contents

The integration of Web technologies has an essential role in accomplishing companies' objectives to raise competitiveness in the market. The students learn fundamental concepts of web technologies, develop basic skills in creating web pages, and explain the coding behind designing websites. The course starts with the underlying technologies of the web: URI, HTTP, HTML, CSS and XML, along with a strong focus on web services and web programming technologies with their practical application. Students will also be able to learn the key considerations while using Django and Ruby on Rail for an Open source Web Application Framework. Ruby is a prevalent programming language that is highly in demand in the marketplace: it is commonly used in Rails applications, an open-source web application framework. While at the same time, students also apply built-in login functionality in Django, and define sessions, cookies, and one-to-many models. Students will gain competencies such as create a secure professional website embedded with suitable information using HTML, CSS, and JavaScript, Install and integrate web technologies to build applications. The students will also be ready to move to the subsequent course and to proceed successfully in the remaining part of the program.

References

• Akshi Kumar (2018) Web Technology: Theory and Practice, Chapman, and Hall/CRC Press
• M., Dai, W., & Gai, K. (2016). Mobile Applications Development with Android: Technologies and Algorithms. Chapman and Hall/CRC.
• Caya, A. (2018). Mastering The Faster Web with PHP, MySQL, and JavaScript: Develop state-of-the-art web applications using the latest web technologies. Packt Publishing Ltd.
• UDACITY, "Intro to HTML and CSS", https://www.udacity.com/course/intro-to-html-and-css—ud001, Accessed on 14.10.2022
• Udemy, "Android Development from Scratch to Create Cool Apps!", https://www.udemy.com/course/sisoft-android-basic-to-create-cool-apps/, Accessed on 15.10.2022
• Udacity, "Intro to JavaScript", https://www.udacity.com/course/intro-to-javascript--ud803, Accessed on 15.10.2022
• Udemy, The Complete Ruby on Rails Developer Course, https://www.udemy.com/course/the-complete-ruby-on-rails-developer-course/ Accessed on 15.11.2022
• Courseera, Django for Everybody Specialization, https://www.coursera.org/specializations/django, Accessed on 15.11.2022

Learning Outcomes

• CLO 1: Utilize the principles of web technologies for better decision-making.
• CLO 2: Analyze coding practice examples using well-defined characteristics
• for building professional websites.
• CLO 3: Relate the use of HTML, CSS, and JavaScript to build websites.
• CLO 4: Demonstrate design skills to create a secure professional website
• embedded with suitable information.
• CLO 5: Select mobile applications in a team or as individuals to solve realworld problems in varying contexts.
• CLO 6: Apply the concepts of web technologies and develop applications to
• solve problems.
• CLO 7: Install and integrate web technologies to build applications and present
• the results as lab record.

Tutorials

• WEEK 1: Explore internet technology and applications.
• WEEK 2: Implementing the mail carrier tool for API development.
• WEEK 3: Implementing the curl tool for transferring data.
• WEEK 4: Static website with HTML.
• WEEK 5: Modifying and building static website with CSS and HTML.
• WEEK 6: Advance version of HTML and CSS tags.
• WEEK 7: Implementing JavaScript for website development.
• WEEK 8: Install and build node.js application.
• WEEK 9: Build an app using Django and Ruby on Rail.
• WEEK 10: Installing and implementing MYSQL.
• WEEK 11: Integrate MySQL database with front end.
• WEEK 12: Getting started with Android (installation and various android app
• development platforms)
• WEEK 13: Build an android application with various android components
• WEEK 14: Build an Android app that has multimedia and 2-D graphics.
• WEEK 15: Lab Final Exam.

CET215 - Mobile Application Development

Course Contents

The number of users of mobile devices (smartphones, smartwatches, and tablets) is exponentially increasing, which has fostered the market demand for mobile application development. Mobile application development involves the development of applications that run on mobile devices but access remote computer resources over the network. The course enables students to apply Java programming languages features and software patterns needed to develop maintainable mobile apps comprised of core Android components. This course introduces students to programming technologies, design and development related to mobile applications. The student learns about developing mobile applications, building campaigns for the customer, and different ways to manage this with Search Engine Optimization - (SEO). The student learning includes storing unlimited files in a low-cost object store, utilizing CloudSearch and Elasticsearch, and automating API deployment in stages effortlessly. The student also explores the role of a cross-platform mobile developer, using HTML, and CSS, in Mobile app development. The topics include the key concepts of Android, 2-D graphics and multimedia in Android, mobile embedded system architecture, data storage and SQLite operations, mobile applications optimization, mobile cloud computing, and best practices in mobile development. The student learns application deployment in the cloud platform and its related techniques. Lectures on mobile application development, Lab sessions, projects, structured laboratory, and assignments are used to deliver the course.

References

• Qiu, M., Dai, W., & Gai, K. (2016). Mobile Applications Development with Android: Technologies and Algorithms. Chapman and Hall/CRC.
• UDACITY, "Developing Android Apps", https://www.udacity.com/course/new-android-fundamentals--ud851, Accessed on 14.10.2022
• UDEMY, "Become an Android Developer from Scratch", https://www.udemy.com/course/become-an-android-developer-from-scratch/, Accessed on 14.10.2022
• Meta, Introduction to Mobile Development, https://www.coursera.org/learn/intro-to-mobile-development, Accessed on 14.11.2022

Learning Outcomes

• CLO 1: Identify software/hardware tools to develop, test and debug mobile applications.
• CLO 2: Analyze and develop mobile applications to solve real-world problems.
• CLO 3: Evaluate various mobile frameworks to make an accurate technological choice in a given scenario.
• CLO 4: Apply a range of methods for mobile application development.
• CLO 5: Develop enterprise-level mobile solutions by taking full advantage of the capabilities of adopted platform/framework.
• CLO 6: Apply Mobile Application development concepts in the labs to provide solutions as per user requirements.
• CLO 7: Write the lab report and present the output result as a lab record.

Tutorials

• WEEK 1: Lab Induction, and getting started with Android
• WEEK 2: Installation of Android studio and building the first application
• WEEK 3: To determine the density of material of the given wire with the help of Sonometer.
• WEEK 4: Build an android application with various android components.
• WEEK 5: Build an Android app that has multimedia and 2-D graphics.
• WEEK 6: Implementing advanced concepts for android with scheduling algorithms and memory technology.
• WEEK 7: Implementing advanced concepts for android with messaging.
• WEEK 8: Apply the main operations on files management (Retrieval/modification/storage).
• WEEK 9: Apply the SQLite operations.
• WEEK 10: Implementing Mobile app optimization (Mobile/App SEO and Metrics & KPIs, Creating an SEO Campaign).
• WEEK 11: Implement Mobile app optimization (Testing Methodologies and Tools for Analytics).
• WEEK 12: Mobile app and cloud deployment (with various platform such as Amazon Elastic Cloud, Microsoft’s Azure, Google App Engine)
• WEEK 13: Mobile app and cloud deployment (techniques for building, deploying, and maintaining machine images and applications).
• WEEK 14: Implementing advanced exploration of cloud computing for mobile deployment.
• WEEK 15: Lab Final Exam.

CET216 - Linux and Shell Programming

Course Contents

Operating systems are main components of recent computer technology. It is software that bridges users and hardware. It manages memory, processes, processor, software, and hardware. The primary purpose of this course is to understand processes of operating systems and improve students' skills to develop applications on the subsystems of operating systems. Students learn virtual environments and use of virtual disk spaces using VMware. They get a thorough knowledge of Linux systems and directories management, shell programming, system calls, shell programming, threads management and scheduling algorithms for deadlock managements. Students also learn the features of Linux as a multiuser operating system and their hardware and software components of a multiuser operating system environment. Other knowledge and skill set of the course requires to navigate filesystem(s), manipulate files and directories, follow given file naming conventions, controlling process management, use and monitor printing facilities, terminal types, on-line help systems, device and file systems status, use of mail facilities, use of redirection facilities, creating regular expressions and selecting and using filters. Students get hands on to compose scripts to carry out routine tasks like use editor(s), passing arguments, using environment variables, selecting, and using control structure(s) etc. Lecture, Laboratory sessions, Assignment, projects, and presentations are used to deliver the course.

References

• William E. Jr. Shotts, The Linux Command Line, 2nd Edition: A Complete Introduction Paperback – Illustrated, 7 March 2019
• ABRAHAM SILBERSCHATZ, PETER BAER GALVIN, GREG GAGNE, Operating system concepts, Tenth Edition, John Wiley & Sons, 2018
• https://www.tutorialspoint.com/unix/index.htm(Retrieved from the Internet 03/11/2022)
• https://www.javatpoint.com/linux-tutorial(Retrieved from the Internet 03/11/2022)
• https://www.tutorialspoint.com/operating_system/index.htm(Retrieved from the Internet 04/11/2022)

Learning Outcomes

• CLO 1: Analyze operating system used in computing world to recommend for efficient resource management.
• CLO 2: Use OS as a resource manager to supports multiprogramming.
• CLO 3: Select the suitable process scheduling algorithm to solve computing problem.
• CLO 4: Work in a team to review memory management issues including advance techniques of paging, segmentation and virtual memory for operating system.
• CLO 5: Assess the system model to produce solutions for deadlocks problems.
• CLO 6: Review the open source operating systems for integration in given context.
• CLO 7: Use the concepts of shell programing to write the program for a given problem and write the lab report.

Tutorials

• WEEK 1: Induction to Lab policies, reports
• WEEK 2: Introduction to Virtual environments and Vmware installations.
• WEEK 3: Understanding Basic Linux commands and use of Directories.
• WEEK 4: Basics of shell programming.
• WEEK 5: Sample shell programming.
• WEEK 6: Use of Grep, AWK and sed commands
• WEEK 7: Decision making & loop control in shell programming
• WEEK 8: Function using shell programming.
• WEEK 9: System calls in C and their implementation in Linux.
• WEEK 10: Thread basics and Client-Server architecture.
• WEEK 11: Thread management in C.
• WEEK 12: FCFS Scheduling Algorithms.
• WEEK 13: SJF Scheduling Algorithms.
• WEEK 14: File system calls in C and their implementation in Linux.
• Week 15: Lab Final Exam.

CET217 - Software Testing and Quality Assurance

Course Contents

This course offers an in-depth exploration of the methodologies and processes essential for the development and continuous maintenance of high-caliber software systems. It extensively delves into software testing, encompassing testing strategies spanning unit, module, subsystem, and systems levels. Topics include test data generation, both automated and manual, dynamic and static analysis, functional testing, rigorous inspections, and robust reliability assessment. Furthermore, this course introduces the foundational concepts, metrics, and models integral to the realm of software quality assurance. It comprehensively examines the components of software quality assurance systems throughout the software development lifecycle, elucidating aspects such as meticulous planning, rigorous reviews, meticulous testing, and robust configuration management. The curriculum additionally delves into metrics and models to gauge software quality objectively. Real-world case studies and hands-on experiences enrich the learning journey, equipping students with practical insights into the domain of software quality assurance within the context of computer science and engineering.

Learning Outcomes

• CLO 1: Develop expertise in software testing, encompassing various testing levels and strategy selection.
• CLO 2: Acquire skills in test data generation and dynamic/static analysis techniques for effective defect identification.
• CLO 3: Master functional testing and engage in rigorous defect inspections to ensure software functionality.
• CLO 4: Perform systematic reliability assessments to mitigate software risks.
• CLO 5: Understand foundational QA concepts, metrics, and models to ensure software quality.
• CLO 6: Apply QA components throughout the software development lifecycle, including planning, reviews, testing, and configuration management.
• CLO 7: Utilize metrics and models for objective software quality assessment.
• CLO 8: Apply course concepts through hands-on experiences and case studies in real-world scenarios, enhancing practical problem-solving skills in software quality assurance.

Tutorials

• WEEK 1: Lab Induction, course policies and format of lab reports.
• WEEK 2: Levels of Testing and Test Strategy.
• WEEK 3: Test Data Generation Techniques.
• WEEK 4: Dynamic and Static Analysis for Defect Identification.
• WEEK 5: Functional Testing Principles.
• WEEK 6: Defect Inspections and Ensuring Software Functionality.
• WEEK 7: Systematic Reliability Assessments and Risk Mitigation.
• WEEK 8: Foundational QA Concepts and Metrics.
• WEEK 9: Software Quality Models.
• WEEK 10: Integrating QA Components in Software Development.
• WEEK 11: QA in Planning and Reviews.
• WEEK 12: Hands-on Testing.
• WEEK 13: Configuration Management.
• WEEK 14: Metrics and Models for Quality Assessment.
• WEEK 15: Lab Final Exam.

CET218 - Advanced Web Programming

Course Contents

Open-source technology is used widely in multiple enterprises. Open source enables technology agility, typically offering multiple ways to solve problems. Students learn how robust software is developed using open-source technologies using PHP and MySQL. This course provides the knowledge necessary to design and develop dynamic, database-driven web pages using PHP, which powers many websites. The student use MySQL, a popular relational database management system. The student learns how to create an interactive Web site, allowing visitors to post and retrieve information, along with the understanding of a complete content management system Web application. The student learning includes downloading and installing PHP and MySQL tools and frameworks onto a server and home machine, configuring relevant settings to match the project's needs, and developing a user interface and a database back-end that stores critical information. This enables the student to plan and apply PHP and MySQL in real-world projects. The course topics include allowing site visitors to add new information to an online database, search through posted data, and create meaningful reports. The course is delivered in theory and practice using PHP, MySQL, other related frameworks, and Content Management Systems. Lectures, assignments, structured laboratory, and projects based on open-source technologies are used to deliver the course.

References

• Larry Ullman (2017). PHP and MySQL for Dynamic Web Sites: Visual QuickPro Guide (5th ed.).Peachpit Press.
• Luke Welling, Laura Thomson (2017) PHP and MySQL Web Development (Developer's Library) (5th ed.). Addison-Wesley Professional.
• Adam Omelak (2018) Zend Framework 3. Developer's Guide.
• Gordon, H. (2021). How Source Ate Software: Understand the Open-Source Movement and So Much More. S.I .:A press.
• Udemy, "PHP & MySQL course for absolute beginners | Become a PHP pro", https://www.udemy.com/course/php-mysql-course-for-absolute-beginners/, Accessed on 14.10.2022
• Class Central, Beginner PHP and MySQL Tutorial, https://www.classcentral.com/course/udemy-php-mysql-tutorial-26598, Accessed on 14.11.2022

Learning Outcomes

• CLO 1: Analyze the concepts of different operators and functions related to PHP in various computing problem.
• CLO 2: Apply the DDL and DML commands related to MySQL for given set of development context.
• CLO 3: Demonstrate the ability to accomplish group tasks related to open source technologies.
• CLO 4: Organize the application development process in varying context of information technology industry.
• CLO 5: Compare the dynamic websites handling and server-side scripts for application management.
• CLO 6: Summarize the need of open source software for the computational task.
• CLO 7: Write of lab based task and reports to present the results.

Tutorials

• WEEK 1: Installation of framework such as LAMP/WAMP and starting with PHP script.
• WEEK 2: To implement PHP script with concepts of Numbers/Constants/ operators/ Strings
• WEEK 3: Program related to Statements / selection-based PHP scripts /Arrays/Loops
• WEEK 4: To implement PHP script for Dynamic website.
• WEEK 5: To implement Database / Database elements/ Coolum type and datatype.
• WEEK 6: Program related to PHP script with database connection, DML and DDL queries.
• WEEK 7: To implement Database design /Primary Key /Foreign key.
• WEEK 8: To implement PHP script for file handling. Script related to advanced SQL and MySQL.
• WEEK 9: To implement PHP script for exception handling/ upload a file/ Error handling techniques / debugging the errors.
• WEEK 10: To implement PHP script to create database and populate the database. Develop frontend to interact with this database.
• WEEK 11: To implement PHP script to for exchanging values. Use of Hidden from input / Edit existing records. /Use to date and time function.
• WEEK 12: To implement PHP script to create login page/ Create a blog using open-source framework such as WordPress. / Sending email
• WEEK 13: To implement PHP script for using session / cookies / Session security
• WEEK 14: To implement PHP script for Preventing Spam / XSS attacks / SQL Injection Attack
• WEEK 15: Lab Final Exam.

CET219 - UI/UX Principles

Course Contents

This technical User Experience (UX) course offers an in-depth exploration of the dynamic fields of UX research and design. Students will acquire a profound understanding of UX research methodologies, encompassing advanced techniques such as user interviews, system assessments, and the systematic application of design principles to analyze systems. Furthermore, participants will delve into the intricacies of UX Design, including the systematic generation of innovative design solutions and the meticulous creation of prototypes across various levels of fidelity. Through the systematic interleaving of successive UX Research and Design phases, students will develop the expertise to extract valuable insights from inevitable errors, enabling iterative enhancements toward the creation of high-impact UX-optimized products within the realm of computer science and technology.

References

• Lean UX: Designing Great Products with Agile Teams - Jeff Gothelf
• A Project Guide to UX Design: For User Experience Designers in the Field Or in the Making - Russ Unger, Carolyn Chandler

Learning Outcomes

• CLO 1: Master advanced UX research techniques.
• CLO 2: Apply design principles to analyze systems.
• CLO 3: Create innovative design solutions.
• CLO 4: Develop prototypes at varying fidelity levels.
• CLO 5: Integrate UX Research and Design phases effectively.
• CLO 6: Learn from and leverage mistakes for iterative improvement.
• CLO 7: Optimize user experiences within the realm of technology.

Tutorials

• WEEK 1: Introduction to Advanced UX Research Techniques.
• WEEK 2: Applying Design Principles for System Analysis.
• WEEK 3: Generating Innovative Design Solutions.
• WEEK 4: Prototyping at Varying Fidelity Levels.
• WEEK 5: Effective Integration of UX Research and Design Phases.
• WEEK 6: Embracing Iterative Improvement through Mistakes.
• WEEK 7: Optimizing User Experiences in the Context of Technology.
• WEEK 8: Review and Consolidation of Advanced UX Research.
• WEEK 9: Analyzing Systems with a Design-Centric Approach.
• WEEK 10: Practical Application of Innovative Design Solutions.
• WEEK 11: Prototyping Strategies for Real-World Scenarios.
• WEEK 12: Seamless Integration of UX Research and Design.
• WEEK 13: Iterative Improvement and Feedback Loops.
• WEEK 14: Comprehensive User Experience Optimization Assessment and Recap.
• WEEK 15: Lab Final Exam

CET221 - Computer Organization

Course Contents

The course covers the evolution of 8085, 8086 microprocessor, functional block diagrams, organization chart for the microprocessor, architecture, and the pin configuration of the microprocessor. This course also includes the instruction set, machine cycles, timing diagram for the instruction set and the addressing modes of the processor. The topics include the types of instructions like arithmetic instructions, logic instructions, branching instructions, machine control instructions and the timing diagrams. The student analyzes 8086 processor instruction execution times, instruction affecting flags. This instruction set covered is used to develop coding in assembly language to perform simple experiments in 8085 processor, in addition the programming using Keil C is also covered to perform the experiment. This course also introduces memory and IO interfacings. The student learning includes types of memory like ROM, PROM, Static RAM, and DRAM, Even and odd memory banks, memory organization in 8085 and 8086, the need for the interrupts, interrupt classification, ICs used, enabling software-hardware interrupts in both 8085 and 8086. Along with the interrupts, experiments pertaining to the peripheral device IC 8255 used in interfacing with keyboards, display devices, DAC are done. The student is exposed to some basic introduction to pin configuration, architecture, addressing modes and registers available in 80X86 family processors like 80186, 80286, 80386.

References

• Pablo Mary and Panda Jeebanan, (2016), Microprocessor and Microcontrollers. 1st Edition, PHI Publication.
• https://www.tutorialspoint.com/microprocessor/microprocessor_overview.htm
• https://www.electronicshub.org/microprocessors
• https://electronicsdesk.com/8085-microprocessor.html

Learning Outcomes

• CLO 1: Explain the architecture of 8085 and 8086 processor.
• CLO 2: Use instruction set to write the assembly level programming.
• CLO 3: Diagnose the memory and memory organization and memory interfacing.
• CLO 4: Compare the various software, hardware interrupts and application.
• CLO 5: Perform input output device programming using PPI and assembly language programming
• CLO 5: Execute programs in 8085 and 8086 using serial and parallel interface.
• CLO 5: Demonstrate interface experiments with A/D. D/A converters, sensors and motors.

Tutorials

• WEEK 1: Write a program in assembly language in 8085 to add two 8 bit and 16-bit numbers.
• WEEK 2: Write a program in assembly language in 8085 to subtract two 8 bit and 16-bit numbers.
• WEEK 3: Write a program in assembly language in 8085 to multiply two 8-bit numbers.
• WEEK 4: Write a program in assembly language in 8085 to Divide two 8-bit numbers.
• WEEK 5: Write a program in assembly language in 8086 to multiply two16 bit numbers.
• WEEK 6: Write a program in assembly language in 8086 to divide 16-bit numbers by 8-bit number.
• WEEK 7: Write program in assembly language in 8085 & 8086 to find the largest number in array
• WEEK 8: Write program in assembly language in 8085 & 8086 to sort number in ascending order.
• WEEK 9: Write
• WEEK 10: Write assembly language program in 8085 &8086 to run stepper motor.
• WEEK 11: Write assembly language program in 8085 &8086 to run servo motor.
• WEEK 12: Write assembly language program in 8085 &8086 to run DC motor.
• WEEK 13: Write assembly language program in 8085 &8086 to control the traffic light.
• WEEK 14; Write assembly language program in 8085 &8086 to read sensor data using A/D Converter.
• WEEK 15: Lab Final Exam.

CET222 - Embedded Systems

Course Contents

The objective of this course is to provide a knowledge of Smart Electronics Systems, with a basic understanding of programming skills and interfacing with different sensors for the smart and automatic system development. The course introduces the Arduino Hardware, ATMEGA328 P16, its architecture, clock speed, memory, pin configuration, Arduino IDE Platform, Arduino Syntax, Arduino Board Layout, types of Arduino Board, the structure of programming, setup (), loop (), functions. The topics include variable declaration and definition, datatypes, arithmetic Expressions, constants, flow Control, logical operators, libraries declaration, digital input output, analog Input Output, time intervals, mathematical functions, random functions, serial communication with computer. The second half of the course covers software programs like blinking of LED, fading of LED, circling of LED, graphics creation on LED matrix, LED advertisement display using LED Matrix, traffic light system, LED control using switches, LED control from keyboards, LED blinking using user command. The student learning includes the interfacing of input devices like microphones, bar code scanner, buttons, encoders, keypad capacitive sensors, distance sensors, electromagnetic fields, humidity sensors, temperature sensors, gas sensors, anemometer, and IR sensors. The student also learns EEG, EMG sensors, motion sensors, magnetic sensors, touch pad, light sensors, Joysticks, keyboards and GPS Interfacing, SD card interfacing, load cell interfacing, camera control, 7 segment displays, LCD, OLED, Graphical LCD. It also includes the programming and controlling of stepper motor, servo motors, DC Motors. The course also covers controlling with Joystick, indexing, direction control, synchronization of two motors solenoids, relays, and PWM. Lectures, theoretical assignments, presentations will be used in this course.

References

• Richard Blum, (2015), Arduino Programming, 1st Edition, Pearson Education.
• Matthew Mackinnon(2016), Arduino: Complete Beginners Guide for Arduino, 1st Edition Create Space Independent Publishing Platform
• https://create.arduino.cc/projecthub
• https://all3dp.com/2/most-useful-arduino-projects/
• https://circuitdigest.com/arduino-projects

Learning Outcomes

• CLO 1: Describe the architecture, memory, and hardware of ATMEGA328 P 16 microcontroller
• CLO 2: Illustrate the structure of program and platform used
• CLO 3: Categorize the instruction set used in developing the program.
• CLO 4: Use instructions to write program in platform and verify the results
• CLO 5: Design the circuit for a specific application using Arduino
• CLO 6: Draw the complete circuit diagram in software like Tinkercad and simulate the results
• CLO 7: Demonstrate mini project by interfacing Arduino with sensors and control the output devices.

Tutorials

• WEEK 1. To perform LED blinking using Arduino Mega with digital pins.
• WEEK 2. To perform LED fading and Circling using Arduino Mega with digital and analog pins.
• WEEK 3. To perform interfacing of LED dice with Computer Keyboard using Arduino Mega.
• WEEK 4. Interface Gas sensors with Arduino Mega and operate LED and show four critical levels.
• WEEK 5. Interfacing of Proximity sensors and note the response on Serial Monitor and connect buzzer for Minimum distance using Arduino Mega.
• WEEK 6. Interfacing of 7 Segment display and start automatic counter from 0 to 9 using Arduino Mega.
• WEEK 7. Interfacing of LCD and display text on the LCD with four different fonts using Arduino Mega.
• WEEK 8. Interfacing of GLCD and display your own picture on the display using Arduino Mega.
• WEEK 9. Interfacing of Stepper motor and Servo Motor and vary the speed with a PWM signal.
• WEEK 10. Controlling of Solenoid using Electronics/Electrical Relays with the help of Arduino Mega.
• WEEK 11. Direction control of Servo Motor using Arduino Mega.
• WEEK 12: Interfacing of DC motor and vary the speed.
• WEEK 13: Interfacing temperature and humidity sensor with Arduino and display the values in LCD or OLED.
• WEEK 14: Interface motion sensor to detect the motion and generates alarm.
• WEEK 15: Interface level sensor to detect the set point of level in water tank and stop the flow using solenoid valve.

CET223 - Computer Architecture

CET231 - Cyber & Information Security

Course Contents

In today's digital age, information and cyber security is more important than ever. Protecting online information and identity is crucial to keeping personal and financial data safe from theft or fraud. This is an introductory level information security course which provides students basic understanding about cyber and information security and its need in current digital world. This course covers the introduction to information, computer and network security, security risks and cyber-attacks, security concepts, kinds of security breaches, threats, and risks, point of vulnerability, attacks- passive and active, security services, confidentiality, authentication, non-repudiation, integrity. The topics include access control, availability, model for internetwork security, internet standards and RFCs, sources of security threats, motives, target assets , consequence of threats, e-mail threats, web threats, hacking, intruders, insider threats, cybersquatting, cyber stalking, crime of deception, content oriented online crime, malicious software use and detection. The student learning includes cyber terrorism, information warfare and surveillance, virtual crime, online frauds, identity theft and intellectual property theft, network threats-worms, virus, spams, ad-ware, spy ware, trojans and convert channels, backdoors, bots, IP spoofing, ARP spoofing, session hijacking, sabotage, phishing, zombie/zombie drone. The course also includes legal ethical and professional issues in information security and intellectual property rights. It also covers firewalls, basic concepts of intrusion detection and prevention system, basic cryptographic techniques, risk assessment and risk control strategies, information security blueprint, honeypots, honey nets and padded cell systems, scanning and analysis tool, biometric access control and case study related to information security. The laboratory work consists of experiments illustrating the principles, algorithms and concepts discussed in the course.

References

• Michael E. Whitman Herbert J. Mofford. (2017). Principles of Information Security, 6th Edition. Cengage Learning, Inc
• https://www.ftc.gov/system/files/attachments/cybersecurity-small-business/cybersecuirty_sb_factsheets_all.pdf
• https://www.cynet.com/network-attacks/network-attacks-and-network-security-threats/
• https://www.cisco.com/c/en_ae/products/security/common-cyberattacks.html#~types-of-cyber-attacks
• https://umbrella.cisco.com/trends-threats

Learning Outcomes

• CLO 1: Discuss the cyber and information security issues, attacks and ethics for internet users.
• CLO 2: Analyze the legal and ethical issues of IT infrastructure for the organization.
• CLO 3: Illustrate information security risks and requirement of security services to secure the network.
• CLO 4: Work in a team to assess the intrusions detection systems, cryptographic algorithms and others tools used in organizational network to secure the network and present it in professional context.
• CLO 5: Apply the basic concepts of cyber security methods, write programs in lab to solve the given problem.
• CLO 6: Write the lab report and present the output result in lab record.

Tutorials

• WEEK 1: Lab Induction, course policies and format of lab reports.
• WEEK 2: Download and install the Linux operating system.
• WEEK 3: Study and practice Linux commands.
• WEEK 4: Study and practice networking commands.
• WEEK 5: Study of packet sniffer tools like Wireshark, ethereal, tcpdump etc. Use the tools to do the following: Observer performance in promiscuous as well as non-promiscuous mode. Show that packets can be traced based on different filters
• WEEK 6: Install IDS (e.g., SNORT) and study the logs.
• WEEK 7: Write a program to perform Encryption / Decryption using Caesar cipher.
• WEEK 8: Write a program to perform Encryption / Decryption using Mono Alphabetic techniques
• WEEK 9: Write a program to perform Encryption / Decryption using Playfair
• WEEK 10: Write a program to perform Encryption / Decryption using Hill cipher
• WEEK 11: Write a program to perform Encryption / Decryption using
• WEEK 12: Use the Nessus tool to scan the network for vulnerabilities
• WEEK 13: Open Ended Project
• WEEK 14: Open Ended Project
• WEEK 15: Lab Final Exam

CET232 - Web and Security Technologies

Course Contents

The integration of Web technologies has an essential role in accomplishing companies' objectives to raise competitiveness in the market. The students learn fundamental concepts of web technologies, develop basic skills in creating web pages, and explain the coding behind designing websites. The course starts with the underlying technologies of the web: URI, HTTP, HTML, CSS, and XML, along with a strong focus on web services and web programming technologies with their practical application. The course also discusses the key considerations while using Django and Ruby on Rail for an Open-source Web Application Framework. Ruby is a prevalent programming language that is highly in demand in the marketplace: it is commonly used in Rails applications, an open-source web application framework. While at the same time, students also apply built-in login functionality in Django, and define sessions, cookies, and one-to-many models. The student learning includes describing and building a data model in Django, applying model query and template tags/code of Django Template Language. The topics include Hyper Text Markup Language (HTML), Cascading Style Sheets (CSS), JavaScript, database integration, and concepts of mobile development. The lectures focus on web application development fundamentals. Lab sessions, projects, and assignments are used to deliver the course.

References

• Akshi Kumar (2018) Web Technology: Theory and Practice, Chapman, and Hall/CRC Press
• M., Dai, W., & Gai, K. (2016). Mobile Applications Development with Android: Technologies and Algorithms. Chapman and Hall/CRC.
• Caya, A. (2018). Mastering The Faster Web with PHP, MySQL, and JavaScript: Develop state-of-the-art web applications using the latest web technologies. Packt Publishing Ltd.
• UDACITY, "Intro to HTML and CSS", https://www.udacity.com/course/intro-to-html-and-css--ud001, Accessed on 14.10.2022
• Udemy, "Android Development from Scratch to Create Cool Apps!", https://www.udemy.com/course/sisoft-android-basic-to-create-cool-apps/, Accessed on 15.10.2022
• Udacity, "Intro to JavaScript", https://www.udacity.com/course/intro-to-javascript--ud803, Accessed on 15.10.2022
• Udemy, The Complete Ruby on Rails Developer Course, https://www.udemy.com/course/the-complete-ruby-on-rails-developer-course/ Accessed on 15.11.2022
• Courseera, Django for Everybody Specialization, https://www.coursera.org/specializations/django, Accessed on 15.11.2022

Learning Outcomes

• CLO 1: Utilize the principles of web technologies for better decision-making.
• CLO 2: Analyze coding practice examples using well-defined characteristics for building professional websites.
• CLO 3: Relate the use of HTML, CSS, and JavaScript to build websites.
• CLO 4: Demonstrate design skills to create a secure professional website embedded with suitable information.
• CLO 5: Select mobile applications in a team or as individuals to solve real-world problems in varying contexts.
• CLO 6: Apply the concepts of web technologies and develop applications to solve problems.
• CLO 7: Install and integrate web technologies to build applications and present the results as lab record.

Tutorials

• WEEK 1: Explore internet technology and applications.
• WEEK 2: Implementing the mail carrier tool for API development.
• WEEK 3: Implementing the curl tool for transferring data.
• WEEK 4: Static website with HTML.
• WEEK 5: Modifying and building static website with CSS and HTML.
• WEEK 6: Advance version of HTML and CSS tags.
• WEEK 7: Implementing JavaScript for website development.
• WEEK 8: Install and build node.js application.
• WEEK 9: Build an app using Django and Ruby on Rail.
• WEEK 10: Installing and implementing MYSQL.
• WEEK 11: Integrate MySQL database with front end.
• WEEK 12: Getting started with Android (installation and various android app development platforms)
• WEEK 13: Build an android application with various android components
• WEEK 14: Build an Android app that has multimedia and 2-D graphics.
• WEEK 15: Lab Final Exam.

CET233 - Digital Forensics Fundamental

Course Contents

Digital Crime and Security Course Is essential for Computer Science field as it provides students a basic understanding about issues, trends and categories of cyber-attacks and digital crime in the current digital world. This course covers the understanding of essential computer concepts and information processing, introduction and overview of cybercrime and cyber terrorism , hackers , sophisticated cyber-criminal organizations, white collar crimes - identity theft, internet fraud schemes, money laundering, corporate espionage, viruses, and malicious code (history and development, viruses, worms, Trojan horses, adware, and spyware). The course includes Denial-Of-Service attacks, blended threats, extent of viruses and malicious code; sex crimes, victimization, and obscenity on the World Wide Web, nature of exploitation on the internet, cyberstalking, cybercrime in a data-driven and techno-centric society - cybercrime and the cybercriminal, the origin and definition of cybercrime. The topics include data, evolution of cybercrime, cybercrime categories, the future of cybercrime, cybercrime, and the Internet of Things (IoT), cybercrime: Machine Learning and Artificial Intelligence, online child sexual abuse and exploitation (CSAE), cost of cybercrime, understanding the legal system and cyber laws, networking environment, types of cyberattacks, prevention mechanisms and encryption methodology. Students are exposed to cellular networks, and the main components of network architecture, along with security threats and vulnerabilities, Internet of Things (IoTs), applications, security vulnerabilities, investigation of digital evidence, computer forensics, and the prevention of cybercrime. The laboratory work Consists of experiments illustrating the principles, algorithms and concepts discussed in the course.

References

• Taylor, Robert W., Eric J. Fritsch, John Liederbach, Michael R. Saylor, and William L. Tafoya. Cybercrime and cyber terrorism. New York, NY: Pearson, 2019.
• Alexandrou, Alex. Cybercrime and Information Technology: Theory and Practice: The Computer Network Infrastructure and Computer Security, Cybersecurity Laws, Internet of Things (IoT), and Mobile Devices. CRC Press, 2021.
• https://www.simplilearn.com/tutorials/cyber-security-tutorial/what-is-cyber-security
• https://www.youtube.com/watch?v=pM8yX-cr6S8
• https://www.im-c.com/cyber-crime-time-learning-journey/
• https://www.researchgate.net/publication/331914032_On_Cyber_Crimes_and_Cyber_Security

Learning Outcomes

• CLO 1: Explain the current problems, trends, and issues in the area of digital crime.
• CLO 2: Examine the processes, best practices, and techniques to manage and prevent cybercrime.
• CLO 3: Evaluate the technical, social, financial, and legal impact of cybercrime on global commerce
• CLO 4: Compare and contrast the differences between digital evidence and traditional evidence.
• CLO 5: Review and recommend the strategies and steps to investigate digital evidence in cybercrime
• CLO 6: Write the lab report and present the output result in lab record.

Tutorials

• WEEK 1: Lab Induction, course policies and format of lab reports.
• WEEK 2: Installation & Demonstration of N-Map tool.
• WEEK 3: Perform an experiment to demonstrate use of nmap tool for Port Scanning.
• WEEK 4: A) Installation and demonstration of Jscript tool. B) Using Jscript tool (or any other equivalent) to demonstrate asymmetric, symmetric crypto algorithm.
• WEEK 5: Study of packet sniffer tools like wireshark, ethereal, tcpdump etc. Use the tools to do the following. i. Observer performance in promiscuous as well as non-promiscuous mode. Ii. Show that packets can be traced based on different filters
• WEEK 6: Perform an experiment to demonstrate the use of Wireshark network analyzer to sniff for router traffic.
• WEEK 7: Install and configure Virtual Environment- VirtualBox , Select Intrusion Dataset and understand the functioning of virtual box.
• WEEK 8: A) Network Scanning (nmap), Web Server Vulnerability Scanning (Nikto) and Host scanning (fping). B) Network Sniffing (TCPDUMP/Wireshark/tshark/Ettercap), Vulnerability Scanning (nmap ad CVE) and Security Visualization (Etherape).
• WEEK 9: a) Infosec Coding using Python Network Socket Programming (Build the port scanner). b) Network Scanning, Packet manipulation, Network Attacks using Scapy.
• WEEK 10: Backdoor- Network Socket/ File Transfer and Reverse Shell using Netcat
• WEEK 11: Vulnerability Assessment and System Hacking (VAPT) VA-Nessus/OpenVAS and Penetration Testing using Metasploit.
• WEEK 12: a) Cyber Security and Machine Learning-Intrusion Detection KDDCUP99/NSL-KDD/CIC-IDS2017 dataset. b) Anomaly detection- network traffic analysis using tshark.
• WEEK 13: a) Network Forensics using Xplico and tshark. b) Digital Forensics (Host/Disk) with TCT/Sleuthkit.
• WEEK 14: a) Memory Forensics using Volatility. b) Email Forensics using Online utilities
• WEEK 15: Lab Final Exam

CET241 - Cloud Databases

Course Contents

Today’s internet has brought various emerging challenges for data storage and management. The amount of generated data has grown exponentially. Cloud databases are at the heart of where software-as-a-service, or SaaS, companies like Microsoft, Salesforce and Google are shifting their business models. There are more open-source cloud databases available now than ever before. This explosive growth shows that cloud databases are a thriving market with a lot of innovation. With a cloud database, the data is uploaded to a remote storage location that is connected to a network of external servers. The data may be replicated across multiple data centers. The students will learn concepts related to database systems management and cloud computing. The course covers an introduction to Database Systems and Cloud Computing, Database Design and Windows Azure Data Storage, Table Normalization and Windows Azure SQL Database, Database Development and Management with SQL—Importing and Exporting Database Objects—Querying Information in Windows Azure SQL Database, Windows Azure SQL Database Procedures, and Functions, Database Application Development. The course explores Windows Azure and Deployment of Applications to the Cloud, Windows Azure Storage, Windows Azure Management, tricks, and best practices. Lectures focusing on cloud databases fundamentals, Lab sessions, projects, and assignments are used to deliver the course.

References

• Chao, L. (2013). Cloud database development and management. CRC Press.
• https://learn.microsoft.com/en-us/azure/azure-sql/database/design-first-database-tutorial?view=azuresql
• https://www.tutorialspoint.com/Cloud-Databases
• https://www.techtarget.com/searchcloudcomputing/definition/cloud-database

Learning Outcomes

• CLO 1: Explain and apply the principles of Database Systems and Cloud Computing.
• CLO 2: Solve problems related to Data Storage using Windows Azure Data Storage.
• CLO 3: Design Databases and Table Normalization.
• CLO 4: Apply SQL queries on Windows Azure SQL Database.
• CLO 5: Deploy applications to the cloud.
• CLO 6: Apply concepts of windows Azure management and Storage.
• CLO 7: Write lab reports and present results.

Tutorials

• Week 1: Introduction to Database Systems and Cloud Computing.
• Week 2: Database Design and Windows Azure Data Storage.
• Week 3: Table Normalization and Windows Azure SQL Database.
• Week 4: Database Development and Management with SQL.
• Week 5: Importing and Exporting Database Objects.
• Week 6: Querying Information in Windows Azure SQL Database.
• Week 7: Windows Azure SQL Database Procedures and Functions.
• Week 8: Database Application Development.
• Week 9: Windows Azure and Deployment of Applications to the Cloud
• Week 10: Windows Azure Storage (part 1)
• Week 11: Windows Azure Storage (part 2)
• Week 12: Windows Azure Management (part 1)
• Week 13: Windows Azure Management (part 2)
• Week 14: Tricks and best practices
• Week 15: Lab Final Exam

CET242 - Data Analytics and Visualization

Course Contents

Data Analytics and Visualization is an integrated course that explores a wide array of data-related concepts and tools. Beginning with data science fundamentals, students learn Python, Anaconda, and iPython/Jupyter environments, gaining proficiency in key Python Data Science packages like Numpy, Pandas, Scikit, and Matplotlib. The course covers data acquisition, cleaning, exploration, and preprocessing, and delves into statistical data analysis techniques. Additionally, it introduces R/Python programming for systematic data analysis, addressing data architecture, acquisition, and complex analysis using regression models. Students also explore the principles of data visualization through Tableau, mastering the creation of various charts, maps, dashboards, and interactive data displays. The course emphasizes hands-on experience, including lab sessions, projects, and assignments, ensuring students acquire a comprehensive understanding of data analytics and visualization within the context of computer science and technology.

References

• Klosterman, S. (2021). Data Science Projects with Python: A case study approach to gaining valuable insights from real data with machine learning. Packt Publishing Ltd.
• https://www.tutorialspoint.com/weka/index.htm
• https://mxnet.apache.org/versions/1.5.0/tutorials/
• https://docs.h2o.ai/h2o-tutorials/latest-stable/
• Robert I. Kabacoff (2022). R in Action: Data analysis and graphics with R and Tidyverse, 3rd Edition, Manning.
• https://www.r-project.org/other-docs.html (Retrieved from the Internet 06/11/2022)
• http://www.r-tutor.com/r-introduction (Retrieved from the Internet 06/11/2022)
• https://medium.com/codex/stock-market-analysis-with-r-programming-language-c3ab502eb3e7 (Retrieved from the Internet 06/11/2022)
• https://www.guru99.com/r-tutorial.html (Retrieved from the Internet 06/11/2022)
• Ryan, L. (2018). Visual data storytelling with tableau: story points, telling compelling data narratives. Addison-Wesley Professional.
• Murray, D. G. (2013). Tableau your data: fast and easy visual analysis with tableau software. John Wiley & Sons.
• Few, S. (2013). Information dashboard design: Displaying data for at-a-glance monitoring (Vol. 5). Burlingame, CA: Analytics Press.
• https://help.tableau.com/current/guides/get-started-tutorial/en-us/get-started-tutorial-home.htm
• https://www.analyticsvidhya.com/blog/2017/07/data-visualisation-made-easy/
• https://www.datacamp.com/tutorial/data-visualisation-tableau

Learning Outcomes

• CLO 1: Master Python and essential data science tools.
• CLO 2: Proficiently use Python Data Science packages.
• CLO 3: Acquire data manipulation and preprocessing skills.
• CLO 4: Explore statistical data analysis techniques.
• CLO 5: Learn systematic data analysis using R programming.
• CLO 6: Create diverse data visualizations with Tableau.
• CLO 7: Apply knowledge through practical tasks and projects.

Tutorials

• Week 1: Introduction to Python and Data Science Tools.
• Week 2: Python Data Science Packages Proficiency.
• Week 3: Data Manipulation and Preprocessing Techniques.
• Week 4: Exploring Statistical Data Analysis.
• Week 5: Introduction to R Programming for Systematic Data Analysis.
• Week 6: Diverse Data Visualizations with Tableau.
• Week 7: Hands-On Data Analysis Projects.
• Week 8: Advanced Python and Data Science Tools.
• Week 9: Utilizing Python Data Science Packages Effectively.
• Week 10: Mastering Data Manipulation and Preprocessing.
• Week 11: In-Depth Statistical Data Analysis.
• Week 12: Advanced Systematic Data Analysis with R.
• Week 13: Advanced Data Visualization with Tableau.
• Week 14: Comprehensive Data Analysis Projects and Application.
• Week 15: Lab Final Exam

CET251 - Artificial Intelligence

Course Contents

Artificial Intelligence aims to mimic the cognitive efforts of humans to equip machines with automated problem-solving capabilities. Artificial Intelligence improves the speed, precision, and effectiveness of human efforts. Artificial intelligence technology provides several essential benefits that make it an excellent tool for any modern organization. In practical terms, AI applications can be deployed in a number of domains such as healthcare, finance, manufacturing, logistics, and so on. Healthcare is one domain where AI has been widely adopted and is being used for tasks such as diagnosis, treatment recommendations, disease prediction, and so on. Finance is another domain where AI is being used for tasks such as fraud detection, credit scoring, stock market prediction, and so on. Students learn concepts and strategies that form the core of artificial intelligence, including fundamental concepts like AI-based problem solving, knowledge representation, understanding of natural language, expert systems, and learning. This course covers an introduction to Python and libraries. It discusses and presents the implementation of DFS, BFS, and A* Algorithms in Python. A Knowledge representation problem is solved. This course also presents a semantic network with Python and design and implement an intelligent agent. The course applies Word Tokenization using the NLTK package and implements NER and parsing using Spacy. An expert system for a given use case is presented and implemented with Python. It explores the design of an XOR truth table using Python. Experiments with robotics and computer vision are provided. Lectures focusing on AI fundamentals, Lab sessions, projects, and assignments are used to deliver the course.

References

• Stuart Russell & Peter Norvig (2018) Artificial Intelligence: A Modern Approach, Third Global Edition, Pearson Education
• https://www.javatpoint.com/artificial-intelligence-tutorial
• https://www.simplilearn.com/tutorials/artificial-intelligence-tutorial
• https://www.w3schools.com/ai/
• https://www.mygreatlearning.com/blog/artificial-intelligence-tutorial/

Learning Outcomes

• CLO 1: Formulate the computing requirements for a given AI based problem.
• CLO 2: Design AI systems to meet given organizational requirement, considering ethical implications.
• CLO 3: Evaluate and recommend AI algorithms for a given problem.
• CLO 4: Select suitable AI techniques and write programs for a given problem.
• CLO 5: Write lab reports and present results.

Tutorials

• WEEK 1: Introduction to Python and libraries
• WEEK 2: Implement DFS and BFS using Python
• WEEK 3: Implement A* Algorithm in Python
• WEEK 4: Implementation of a Knowledge representation problem
• WEEK 5: Implement a semantic network with Python
• WEEK 6: Implement an intelligent agent (1)
• WEEK 7: Implement an intelligent agent (2)
• WEEK 8: Word Tokenization using NLTK package
• WEEK 9: Implement NER and parsing using Spacy
• WEEK 10: Write an expert system for a given use case with Python
• WEEK 11: Design an XOR truth table using Python.
• WEEK 12: Experiment with robotic exercise
• WEEK 13: Experiment with a computer vision exercise
• WEEK 14: Advanced example implementation for robotics
• WEEK 15: Lab Final Exam.

Laboratories

• WEEK 1: What is Artificial Intelligence, Applications of Artificial Intelligence
• WEEK 2: AI techniques, search knowledge, State space search
• WEEK 3: Search in complex environments
• WEEK 4: Knowledge Representation issues, first order predicate calculus
• WEEK 5: Horn Clauses, Resolution, Semantic Nets, Frames, Partitioned Nets
• WEEK 6: Logical Agents
• WEEK 7: Forward Vs Backward Reasoning
• WEEK 8: Introduction to NLP, Syntactic Processing, Semantic Analysis, Parsing techniques
• WEEK 9: Conceptual Dependency, Grammar free analyzers, Sentence generation and translation
• WEEK 10: Expert System, Knowledge acquisition, Case studies: MYCIN, RI, Learning: Learning automation, Learning by inductions
• WEEK 11: Handling Uncertainties: Non-monotonic reasoning, Probabilistic reasoning, Use of certainty factors, Fuzzy logic
• WEEK 12: Robotics Architectures and control
• WEEK 13: Trajectory Planning, Sensors, and vision system
• WEEK 14: Applications of Robotics
• WEEK 15: Features of Robotics

CET261 - Advanced Computer Networks

Course Contents

- The objective is to acquaint the students with the application of networking. Detail description of the various TCP/IP protocols and the working of ATM and its performance and introduction to network management system, cryptography, security and authentication, and various algorithms related to it has been dealt, to get a practical approach. This course covers TCP/IP Protocol, internet addressing and mapping to physical address, advanced computer network protocols, layered protocols, internet addressing, mapping internet address to physical address, internet protocol, OSPF, RIP, RARP, BOOTP, DHCP, BGP, ARP, IP, Ipv6. The topics include ICMP transport protocols: UDP, TCP and SNMP, frame relay, B-ISDN, ATM protocol stack, ATM switching, internetworking with ATM networks, traffic management in ATM, subnet, super net, classless and class full addresses, Connection oriented networks, LAN ethernet, fast-ethernet, gigabit Ethernet, FDDI, DSL, ADSL, switching and socket programming. This course also covers wireless communication, mobile networks, Bluetooth, DNS and Active Directory, XML-based web services, socket programming, peer-to-peer (P2P) networks and applications, virtual LAN, class of service, and multilayer networks, network analysis and modeling, queuing theory, modelling network as a graph, network management system and standard, introduction to cryptography and basics of network security. The laboratory work consists of simulation and implementation of advanced networking concepts, socket programming discussed during the course.

References

• Forouzan, B. A., & Fegan, S. C. (2021). Data Communications and Networking with TCP/IP Protocol Suite McGraw Hill; 6th Edition (International Edition)
• Markakis, E., Mastorakis, G., Mavromoustakis, C. X., & Pallis, E. (2017). Cloud and Fog Computing in 5G Mobile Networks: Emerging Advances and Applications. Institution of Engineering and Technology.
• Tanenbaum Andrew, S. (2021). Computer networks. Andrew S. Tanenbaum, David J. Wetherall.
• https://www.youtube.com/watch?v=eR9b46Bk0Qg
• https://www.youtube.com/watch?v=0PbTi_Prpgs
• https://www.sciencedirect.com/topics/computer-science/bluetooth#:~:text=Bluetooth%20is%20a%20proprietary%20networking,connect%20peripherals%20to%20base%20devices.
• https://www.javatpoint.com/computer-network-tutorial

Learning Outcomes

• CLO 1: Analyze virtual network using appropriate methodologies, techniques, tools and transmission medium for the integration of concepts from varying fields.
• CLO 2: Formulate and communicate the mechanism to evaluate the role of wireless mobile network layer for all stakeholders in the network.
• CLO 3: Review the network security issues to identify solutions using appropriate skills for complex network.
• CLO 4: Analyze ad-hoc networks and quality of service in various networks.
• CLO 5: Simulate, configure and troubleshoot networking activities and perform experiments, interpret results and conclusions.
• CLO 6: Write lab reports and present results.

Tutorials

• WEEK 1: Lab Induction, Introduction to tools, Course Policies, and format for lab reports
• WEEK 2: Implement the following forms of Inter process communication(IPC): a) Pipes. b) FIFO.
• WEEK 3: Implement file transfer using Message Queue form of IPC.
• WEEK 4: Design, implement and test TCP iterative Client and Server application to reverse the given input sentence.
• WEEK 5: Design, implement and test TCP concurrent Client and Server application to reverse the given input Sentence.
• WEEK 6: Design, implement and test TCP Client and Server application to transfer file.
• WEEK 7: Design, implement and test a TCP concurrent Server to convert a given text into upper case using Multiplexing system call “select”
• WEEK 8: Design, implement and test a TCP concurrent Server to echo given set of sentences using Poll functions.
• WEEK 9: Design, implement and test UDP Client and Server application to reverse the given input sentence. Week 10: Design UDP Client Server to transfer a file.
• WEEK 11: Design, implement and test using Poll Client Server application to multiplex TCP and UDP requests for converting a given text into upper case.
• WEEK 12: Design, implement and test an RPC application to add and subtract a given pair of integers.
• WEEK 13: Open Ended Practical’s/Mini Project
• WEEK 14: Open Ended Practical’s/Mini Project
• WEEK 15: Lab Final Exam

CET262 - Network Operation and Managment

Course Contents

Enterprise networks include Local Area Networks, Wide Area Networks and Cloud Networks. This course covers wide area network (WAN) technologies and quality of service (QoS) mechanisms used for secure remote access, along with the introduction of software-defined networking, virtualization, and automation concepts that support the digitalization of networks. The course provides students with the network industry knowledge required to obtain IT employment. The student learning includes networking theory that explains practical applications and learning to configure Cisco routers and switches at a basic level. Students gain skills to configure and troubleshoot enterprise networks and learn to identify and protect against cybersecurity threats. The student learns about the concepts of a home network as a starting point to describe how big businesses deliver data network connections to thousands of devices, along with the variety of network hardware. The student also explores the different cabling types, how fibre optics are categorized for data network use, and the different types of 802.11 wireless networks and their uses. They are introduced to network management tools and learn key software-defined networking concepts, including controller-based architectures. The course covers how application programming interfaces (APIs) enable network automation. Lectures, assignments, structured lab sessions and projects based on Enterprise Network Service are used to deliver the course.

References

• Cisco Networking Academy. (2020). Enterprise Networking, Security, and Automation Companion Guide (Ccnav7). Pearson Education (US).
• Shin, B. (2017). A Practical Introduction to Enterprise Network and Security Management. Auerbach Publications.
• Pluralsight, "Introduction to Enterprise Network Infrastructure", https://www.pluralsight.com/courses/enterprise-network-infrastructure-introduction, Accessed on 15.10.2022

Learning Outcomes

• CLO 1: Apply best practices when designing and implementing security zones in an enterprise network.
• CLO 2: Analyze the limitations inherent in networking technology as they affect network quality of service (QoS) metrics.
• CLO 3: Explain best practices when assigning IPv4 and IPv6 addresses in an enterprise network.
• CLO 4: Compare routing protocols (including the Enhanced Interior Gateway Routing Protocol (EIGRP) and the Open Shortest Path First (OSPF) protocol) as used in an enterprise network.
• CLO 5: Categorize Local Area Network (LAN) and Virtual LAN (VLAN) technologies as used in an enterprise network.
• CLO 6: Interpret enterprise applications for their network service requirements.
• CLO 7: Organize an enterprise network design for efficiency and effectiveness in supporting multiple locations, user device security, user content security, 24x7 availability, QoS, and congestion management.

Tutorials

• WEEK 1: Lab Induction, understanding packet tracer /simulator, Course Policies, and reports.
• WEEK 2: Design and configure Single-Area OSPF-I Link Costs and Interface Priorities.
• WEEK 3: Design and configure Multi-Area OSPF-I with Stub Areas and Authentication.
• WEEK 4: Design and configure OSPF-II Virtual Links and Area Summarization and OSPF over Frame Relay.
• WEEK 5: Configure Redistribution and Administrative Distances Between RIP and OSPF and Manipulating Administrative Distances.
• WEEK 6: Configuring Border Gateway Protocol (BGP) with Default Routing Using the AS_PATH Attribute.
• WEEK 7: Configure Border Gateway Protocol (BGP) Route Reflectors and Route Filters.
• WEEK 8: Configuring Open Shortest Path First (OSPF) for IPv6.
• WEEK 9: Configuring VLANs and Ether Channel Static VLANS, VLAN Trunking, and VTP Domains and Modes.
• WEEK 10: Configuring Spanning Tree Protocol (STP) Default Behavior and Modifying Default Spanning Tree Behavior.
• WEEK 11: Configuring Per-VLAN Spanning Tree and Multiple Spanning Tree Behavior.
• WEEK 12: Configure Inter-VLAN Routing with an External Router.
• WEEK 13: Configure Inter-VLAN Routing with an Internal Route Processor.
• WEEK 14: Configure Network address translation-NAT Services.
• WEEK 15: Lab Final Exam.

CET263 - Windows Server Administration

Course Contents

The Windows Server Administration course equips IT professionals with the essential skills to manage and deploy Windows Server environments within organizations. Through a combination of lectures, hands-on labs, and practical exercises, you'll gain a comprehensive understanding of core server administration tasks. This course covers a wide range of topics, including user and group management with Active Directory, network infrastructure configuration, file and storage services, virtualization with Hyper-V, and security best practices. By the course's end, you'll be confident in your ability to manage and optimize Windows Server environments for efficient and secure operation.

References

• "Microsoft Windows Server Administration Fundamentals" by William Pearson (Covers Microsoft MTA exam 98-365 objectives)
• "Windows Server 2022 Administration Comprehensive Guide" by Microsoft Press (Focuses on the latest Windows Server version)
• "Learning Active Directory" by Chris Russel (In-depth guide to Active Directory services)
• "Hyper-V and Virtualization: Microsoft Client to Datacenter" by Patrick Dougherty and Edilson Canales (Covers Hyper-V virtualization concepts)
• "Security for Windows Server and Active Directory" by Edilson Canales (Focuses on security best practices)
• Microsoft Docs: Windows Server https://learn.microsoft.com/en-us/windows-server/ (Official documentation from Microsoft)
• Microsoft Virtual Academy: Windows Server Courses
• Windows Server Administration Tutorials https://www.acilearning.com/catalog/microsoft/ (Video tutorials on various Windows Server topics)
• CBT Nuggets: Windows Server Training https://www.cbtnuggets.com/it-training/microsoft-windows-server (In-depth video training with labs)
• Professor Messer: Windows Server Lessons https://www.professormesser.com/discounted-comptia-server-plus-voucher/ (Free video lectures on Windows Server administration)

Learning Outcomes

• Install, configure, and manage Windows Server environments.
• Implement Active Directory for user and group management.
• Configure network infrastructure services like DHCP and DNS.
• Manage file and storage services for efficient data access.
• Utilize Hyper-V for server virtualization and containerization.
• Implement high availability and disaster recovery solutions.
• Apply security best practices to protect Windows Server environments.
• Troubleshoot common Windows Server issues.

CET264 - Software Systems Administration I

Course Contents

This course equips you with the foundational skills to manage essential software systems within an enterprise environment. You'll gain a comprehensive understanding of widely used software, including anti-virus programs, office suites like Microsoft Office, printing and scanning utilities, and communication and video conferencing tools. Through a combination of lectures, hands-on labs, and case studies, you'll learn how to install, configure, troubleshoot, and maintain these critical systems. The course emphasizes best practices for user administration, security protocols, and system optimization. You'll develop the ability to identify and resolve common issues, ensuring smooth operation and user productivity. This basic level prepares you for a career in IT support or as a stepping stone towards more advanced system administration roles.

References

• MCTS Microsoft Windows Server 2019 Administration Fundamentals (Exam 70-410) by William R. Schultz (Latest Edition)
• The Complete Guide to Microsoft Office 365 & Office 2019 by Jason R. Maas (Latest Edition)
• Enterprise Antivirus: Practical Security Solutions by Syngress (Latest Edition)
• Linux Administration: A Beginner's Guide by Evi Nemeth, Garth Snyder, Trent R. Hein (Latest Edition) (While this focuses on Linux, it provides valuable foundational concepts for system administration)
• CompTIA A+ Certification All-in-One Exam Guide (Exams 220-1001 & 220-1002) by Mike Meyers (Latest Edition) (Provides a broader IT administration perspective)
• Microsoft Docs - Windows Server Documentation (https://learn.microsoft.com/en-us/windows-server/)
• Microsoft Office Training (https://support.microsoft.com/home/)
• Avast Antivirus Small Business Guide (https://www.avast.com/business/products/small-business)
• Linux.org - System Administration
• Professor Messer - CompTIA A+

Learning Outcomes

• Install, configure, and manage essential enterprise software including anti-virus, office suites, printing and scanning utilities, communication and video conferencing tools.
• Implement user accounts and access controls for secure system usage.
• Troubleshoot and resolve common software issues within an enterprise environment.
• Optimize system performance and resource allocation.
• Apply best practices for system administration in a professional setting.

CET265 - Network Storage Systems

Course Contents

Network storage systems are the backbone of modern data centers, enabling the sharing and access of critical information across vast networks. This course delves into the design, implementation, and management of these distributed systems. You'll explore the fundamental concepts of network-attached storage (NAS), storage area networks (SANs), and emerging technologies like object storage and distributed file systems. The course will equip you with the knowledge to understand the trade-offs between different storage solutions, design scalable storage architectures, and ensure the performance, reliability, and security of your data. Furthermore, you'll gain insights into the latest advancements in network storage, including virtualization, cloud storage, and software-defined storage (SDS). By the end of the course, you'll be well-positioned to evaluate, deploy, and manage network storage solutions that meet the ever-growing demands of modern organizations.

References

• Katz, M., Garth, J., & Patterson, D. (2012). GFS: The Google File System. Morgan Kaufmann.
• Held, G., & Rector, R. (2009). NFS Illustrated. Addison-Wesley Professional.
• Bergsten, M. (2010). EMC SAN Fundamentals (2nd Edition). EMC Education Services.
• Mee, C., & de Bruijn, E. H. (2002). Storage Area Networks: The Complete Guide. McGraw-Hill Osborne Media.
• Banerjee, P. (2014). Cloud Storage: Theory and Practice. Morgan Kaufmann.

Learning Outcomes

• Explain the fundamental concepts of network storage systems, including NAS, SAN, and object storage.
• Analyze the strengths and weaknesses of different network storage solutions.
• Design and implement scalable storage architectures for various applications.
• Configure and manage network storage devices for optimal performance and reliability.
• Identify and implement security best practices for network storage systems.
• Evaluate emerging trends in network storage, such as virtualization, cloud storage, and SDS.

CET291 - CET Project I

Course Contents

This course enables the students to exercise some of the knowledge and/or skills developed during the program in a new situation or problem for which there are number of engineering solutions. The student is expected to design a project that provides students with the experience of designing, building, and integrating modular software applications/ electronic system comprising analog, digital and computer subsystems. The student mostly implements design and tests the system. This course includes planning the tasks which are to be completed within the time allocated, and in turn, helps to develop the ability to plan, use, monitor, and control resources optimally and economically. By studying this course. The student develops creativity, initiative, and capacity to perform. Leadership development and supervision skills are also integrated into the learning objectives of this course. The project will have a detailed proposal, which must be executed or implemented within the time allocated while maintaining a logbook periodically monitored by the professor mentor. Projects should be chosen so that they can be completed using students’ problem-solving capabilities and depth of learning. A detailed project report is to be prepared as the project progresses, which has to be submitted after the project is over. The students acquire the basic background necessary to conduct research on advanced topics in a chosen subject area.

References

• https://www.youtube.com/watch?v=AwH6drwfuAU
• https://www.youtube.com/watch?v=GQVoxaucS44
• https://www.youtube.com/watch?v=fsR8Cm5NBMg
• https://www.youtube.com/watch?v=EjQYvCXaMG4
• https://effectiveu.umn.edu/capstone/additional-resources

Learning Outcomes

• CLO 1: Define the tasks and scope of the project independently and/or collaboratively
• CLO 2: Identify relevant information pertaining to project needs from a variety of resources.
• CLO 3: Acquire knowledge on advanced topics in a chosen subject area
• CLO 4: Summarize the information and draw a logical conclusion to the problem/task of the project
• CLO 5: Outline the details of hardware and software required for the completion of the project
• CLO 6: Prepare project proposals with an action plan and time duration scientifically.
• CLO 7: Communicate project ideas and current work achievements clearly through technical report and presentations.

CET292 - CET Project II

Course Contents

This course enables the students to apply some of the knowledge and/or skills developed during the program in a new situation or problem for which there are number of engineering solutions. Project II provides students with the experience of designing and building simple software and hardware applications. Further students can learn how to integrate it into a modular electronic system or computer subsystems. This course builds on the knowledge and skills built in Project I. The student mostly implements design and tests the system. This course includes planning the tasks which are to be completed within the time allocated, and in turn, helps to develop the ability to plan, use, monitor, and control resources optimally and economically. Through this course, the student develops creativity, initiative, and capacity to perform. The student develops interpersonal, teamwork, planning and organizing skills. The projects will have a detailed project proposal, which must be executed or implemented within the time allocated, simultaneously maintaining a logbook periodically monitored by the teacher. Projects should be chosen so that they can be completed using students’ problem-solving capabilities and depth of learning. A detailed project report is to be prepared as the project progresses, which has to be submitted after the project is over. The students acquire the basic background necessary to conduct research on advanced topics in a chosen subject area.

References

• https://www.youtube.com/watch?v=AwH6drwfuAU
• https://www.youtube.com/watch?v=GQVoxaucS44
• https://www.youtube.com/watch?v=fsR8Cm5NBMg
• https://www.youtube.com/watch?v=EjQYvCXaMG4
• https://effectiveu.umn.edu/capstone/additional-resources

Learning Outcomes

• CLO 1. Choose the relevant possible solutions from available alternatives
• CLO 2. Conduct feasibility studies about hardware and software parts used in the project.
• CLO 3. Design a simple software and hardware application taking into consideration various real-life constraints.
• CLO 4. Investigate the important legal and ethical issues in the design project
• CLO 5. Collaborate with team members, managers, and clients to design and prototype a product/service that meets user needs and expectations.
• CLO 6. Conduct the theoretical study in detail and compare them on the basis of cost/ energy conservation/impact on environment/technology used etc.
• CLO 7. Communicate project ideas and current work achievements clearly through technical report and presentations.

CET311 - Design & Analysis of Algorithms

Course Contents

Design and analysis of algorithms is used for advanced algorithmic concepts to solve complex real-world problems. This course covers the advanced data structure, growth of functions, asymptotic notations, divide-and-conquer algorithms and its run time analysis, structure of divide-and-conquer algorithms: examples; binary search, quick sort, merge sort, run time analysis of divide and conquer and recurrence relations. The topics include recurrence relations including substitution method, recursion-tree method, and master method for solving recurrences, red black tree, greedy method: overview of the greedy paradigm examples of exact optimization solution (minimum cost spanning Tree), approximate solution (knapsack problem), single source shortest paths problems, traveling salesperson problem, dynamic programming: overview, difference between dynamic programming and divide and conquer technique. The student learning includes applications: shortest path in graph, chain matrix multiplication, traveling salesperson problem, longest common sequence problem, knapsack problem, graph searching and traversal: overview, representation of graphs, strongly connected components, traversal methods (depth first and breadth first search) and its analysis. The student also learns back tracking: overview, 8-queen problem, and knapsack problem, branch and bound: lc searching bounding, FIFO branch and bound, lc branch and bound application: 0/1 knapsack problem, traveling salesperson problem, computational complexity: complexity measures, polynomial vs non-polynomial time complexity; np-hard and np-complete classes. Lab sessions consists of the implementation of advanced data structures, dynamic programing, greedy and graph algorithms discuss in the course.

References

• Cormen, T. H., Leiserson, C. E., Rivest, R. L., & Stein, C. (2009). Introduction to algorithms. MIT press
• https://nptel.ac.in/courses/106106131
• https://www.tutorialspoint.com/design_and_analysis_of_algorithms/index.htm
• https://www.javatpoint.com/daa-tutorial

Learning Outcomes

• CLO 1: Analyze a given algorithm and express its time and space complexities in asymptotic notations to choose the efficient algorithms.
• CLO 2: Evaluate worst-case running time of algorithms using asymptotic analysis to solve recurrence equations.
• CLO 3: Implement the Divide and Conquer Strategy to solve various computational problems.
• CLO 4: Demonstrate an ability to work in a team to design the computing based solution for complex problems and present it.
• CLO 5: Review and categorize the computational problems into P, NP, NP-Hard, and NP-Complete for computational complexity.
• CLO 6: Apply the concepts of algorithm design methods, write programs in lab to solve the given problem.
• CLO 7: Write the lab report and present the output result in lab record.

Tutorials

• WEEK 1: Lab induction, course policies and lab report format.
• WEEK 2: Implement Divide-and-Conquer algorithms and time taken analysis
• WEEK 3: Implement Recursive Binary Search
• WEEK 4: Implement Sorting Algorithms.
• WEEK 5: Implement Red Black Tree
• WEEK 6: Implement Dynamic Programming Algorithms.
• WEEK 7: Implement Dynamic Programming Algorithms
• WEEK 8: Implement Greedy Algorithms
• WEEK 9: Implement Greedy Algorithms
• WEEK 10: Implement Back Tracking concept
• WEEK 11: Implement Back Tracking concept
• WEEK 12: Implement graph algorithms
• WEEK 13: Implement graph algorithms
• WEEK 14: Open Ended Problems/Project
• WEEK 15: Lab Final Exam

Laboratories

• WEEK 1: Merge and Quick sort problems.
• WEEK 2: Recurrence relations: Substitution method for solving recurrences
• WEEK 3: Recurrence relations: Recursion-tree method and master method for solving recurrences.
• WEEK 4: Greedy Method
• WEEK 5: Single source shortest paths problems and traveling salesman problem
• WEEK 6: Dynamic Programming : Chain matrix multiplication
• WEEK 7: Dynamic Programming : Chain matrix multiplication
• WEEK 8: Dynamic Programming: longest Common sequence problem, knapsack problem
• WEEK 9: Dynamic Programming: longest Common sequence problem, knapsack problem
• WEEK 10: Graph Searching and Traversal
• WEEK 11: Back tracking: 8-queen problem, Knapsack problem
• WEEK 12: Back tracking: 8-queen problem, Knapsack problem
• WEEK 13: Brach and bound: LC searching Bounding, FIFO branch and bound
• WEEK 14: LC branch and bound application: 0/1 Knapsack problem, Traveling Salesman Problem
• WEEK 15: LC branch and bound application: 0/1 Knapsack problem, Traveling Salesman Problem

CET312 - ERP Systems

Course Contents

This course focuses on the evolving technologies on the World Wide Web that support new business models. Students learn how the internet is rapidly becoming a primary communication, marketing, and commercial medium for businesses in every industry and how managers can effectively use this tool to execute their organization’s strategic plans. The student learns about electronic commerce with fault tolerance, security, and 24x7 availability and ERP concerning financial, human resource and manufacturing systems integrating into inter-company supply chain systems. The course provides an overview of the planning and control systems used by manufacturing companies to manage their supply chains within the context of an ERP system. The student learning includes strategic impact of ERP on Business, the importance of ERP and its relationship with the functions in the organization, understand issues and decisions made before selecting and implementing ERP, and explore the function of ERP as an enabler of the business. The topics include the current transformation in the payments industry and how it is changing financial services. The student learns about real-world applications of new technologies and innovations in digital payments. Lectures, assignments, lab sessions and projects based on E-Commerce and ERP are used to deliver the course.

References

• Sims, L. (2018). Building Your Online Store with WordPress and WooCommerce: Learn to Leverage the Critical Role E-commerce plays in Today’s Competitive Marketplace. Apress.
• Laudon, K. C., & Traver, C. G. (2020). E-Commerce 2020–2021: Business, Technology and Society, eBook. Pearson Higher Ed.
• Kale, V. (2016). Enhancing Enterprise Intelligence: Leveraging ERP, CRM, SCM, PLM, BPM, and BI. CRC Press.
• Udemy, "Online Business Academy - eCommerce", https://www.udemy.com/course/online-business-hacks-ecommerce/, Accessed on 15.10.2022
• Coursera, "Introduction to Enterprise Resource Planning (ERP)", https://www.coursera.org/lecture/enterprise-systems/1-1b-introduction-to-enterprise-resource-planning-erp-LneSo, Accessed on 15.10.2022
• Google, Google Digital Marketing & E-commerce Professional Certificate, https://www.coursera.org/professional-certificates/google-digital-marketing-ecommerce, Accessed on 15.11.2022
• Udemy, ERP 4 FREE, https://www.udemy.com/course/erp-4-free/ Accessed on 15.11.2022 (PAID)

Learning Outcomes

• CLO 1: Describe Information System perspective and Key Managerial issues.
• CLO 2: Analyze the impact of e-commerce in buying and selling behavior of customer.
• CLO 3: Investigate one e-commerce website(s), and understand legal and moral issues in the digital age.
• CLO 4: Demonstrate the basic understanding of ERP related to organizations in achieving a multidimensional growth.
• CLO 5: Develop organizational and analytical skills through the use of business cases studies, articles and working in teams.
• CLO 6: Write the lab report and present the output result as lab record.
• CLO 7: Demonstrate the basic configuration related to E-commerce and ERP technologies to accomplish group tasks.

Tutorials

• WEEK 1: Lab Induction, Introduction to HTML, Course Policies, reports.
• WEEK 2: Create a web page to display a hyperlink which when clicked directs you to Amazon website.
• WEEK 3: Create a web page to demonstrate definition lists by taking various applications of ecommerce as an example.
• WEEK 4: Create a web page to display a button with label “search” adjacent to a text box. Also change the color of text box and background of the web page.
• WEEK 5: Create a web page which asks for mode of payment which includes the options: Credit card/Debit card/Online transfer (use radio buttons).
• WEEK 6: Create a web page which asks the user to enter his credit card details. Use textboxes, drop down buttons.
• WEEK 7: Create a web page with the SHOPPING WEBSITE as the title and five buttons labelled Home, About Us, Courses, feedback, contact us as shown in the diagram which when clicked displays the details on a separate page.
• WEEK 8: Create a web page using a form titled Feedback form which takes feedback of the shopping behavior of a customer. The form should have the field’s customer name, order ID followed by 5 check boxes labelled Excellent, Very Good, Good, Average, Bad, respectively.
• WEEK 9: To study ERP system, ERP technologies and its ecosystem.
• WEEK 10: To Study different Management Information Systems (MIS).
• WEEK 11: Case study: Related to Customer Relationship Management (CRM).
• WEEK 12: To study ERP implementation life cycle and case study related to SAP (Systems, Applications & Products in Data Processing).
• WEEK 13: Case study on Integrated Enterprise applications.
• WEEK 14: To study open-source ERP systems and case study on Microsoft Dynamics.
• WEEK 15: Lab Final Exam.

CET313 - Theory of Computation & Compiler Design

Course Contents

Theory of computation is used to simplify the logic of computation using computational models and to address the issues of which problems can be solved by computational means. This course covers the general theory of automata, deterministic finite automata (DFA) and non-deterministic finite automata (NDFA), equivalence of dfa’s and nfa’s, mealy and moore machines, regular expressions, Arden’s theorem, converting a dfa to a regular expression, formal languages. The topics include context-free grammars, derivations using a grammars leftmost and rightmost derivations, the languages of a grammar, parse trees, equivalence of regular expressions and regular languages, ambiguity in grammars and languages: ambiguous grammars, removing ambiguity from grammars, normal forms: Chomsky normal form and greibech normal form, pumping lemma and applications of the pumping lemma. The student learning includes properties of context-free languages, pushdown automata(pda), instantaneous descriptions of a pda, languages of pda: acceptance by final state, acceptance by empty stack, Turing machines and designing of Turing machine, the Turing machine: the instantaneous descriptions for Turing machines, transition diagrams for Turing machines, the language of a Turing machine, halting problem. The student also learns linear bounded automata, and computability and complexity theories, decidability and recursively enumerable languages, post’s correspondence problem: definition of post’s correspondence problem, the “modified” PCP, other undecidable problems: undecidability of ambiguity for cfg’s. The laboratory work consists of experiments illustrating the principles and various methods and concepts discussed in the course.

References

• Linz, P. (2017). An Introduction to Formal Languages and Automata. Jones and Barlett Publishers.
• Sipser, M. (2012). Introduction to the Theory of Computation (3rd ed.), Cengage Learning
• Mishra, K. L. P., & Chandrasekaran, N. (2011). Theory of Computer Science Automata. Languages and Computation. Prentice Hall of India, New Delhi.
• https://nptel.ac.in/courses/106104028
• https://nptel.ac.in/courses/106104148
• https://www.tutorialspoint.com/automata_theory/index.htm
• https://www.javatpoint.com/theory-of-automata

Learning Outcomes

• CLO 1: Illustrate, how the theoretical study of computer science is applicable to an engineering application in real world.
• CLO 2: Categorize the regular, context-free, context sensitive and unrestricted languages to Classify formal languages.
• CLO 3: Create push-down automata and context-free grammar representations for context-free languages to solve computational problems.
• CLO 4: Design and present the Turing Machines model for accepting recursively enumerable languages to solve the problems in computer science and testing the limits of computation.
• CLO 5: Relate the notions of decidability and undecidability of problems, Halting problem to address the limits of computational models/devices.
• CLO 6: Explain the concepts of theory of computation and implement it in the lab, interpret the results and conclusion.
• CLO 7: Write the lab report and present the output result.

Tutorials

• WEEK 1: Lab Induction, introduction, and applications of automata theory, Course Policies and format of lab reports
• WEEK 2: Implementation of DFA and NDFA.
• WEEK 3: Design a system to convert from NDFA to DFA
• WEEK 4: Design and implement Mealy machines.
• WEEK 5: Design and implement Moore machines.
• WEEK 6: Design a system to convert from Mealy to Moore machine
• WEEK 7: Design a system to convert from Moore to mealy machine.
• WEEK 8: Design the grammar for respective language
• WEEK 9: Design a system to generate the regular expression using Arden’s theorem.
• WEEK 10: Design and implement push down automata.
• WEEK 11: Design and implement push down automata.
• WEEK 12: Design and implement Turing Machines.
• WEEK 13: Design and implement Turing Machines.
• WEEK 14: Open Ended programs on Turing machines/push down automata.
• WEEK 15: Lab Final Exam

Laboratories

• WEEK 1: Deterministic finite automata (DFA) and non-deterministic finite automata (NDFA)
• WEEK 2: Equivalence of DFAs and NFAs
• WEEK 3: Mealy and Moore machines
• WEEK 4: Regular expressions
• WEEK 5: Arden’s Theorem exercises.
• WEEK 6: Derivation (Left and right most), Ambiguous Grammars, Removing Ambiguity from Grammars.
• WEEK 7: Chomsky normal form
• WEEK 8: Greibech Normal Form
• WEEK 9: Pumping lemma
• WEEK 10: Pushdown automata(pda)
• WEEK 11: Pushdown automata(pda)
• WEEK 12: Turing machine
• WEEK 13: Turing machine
• WEEK 14: Turing Machine halting problem and Post’s Correspondence Problem
• WEEK 15: Decidability and Recursively Enumerable.

CET314 - Introduction to Web Technologies

Course Contents

This course equips you with the foundational knowledge and practical skills to build, customize, and manage websites. You'll delve into the core building blocks of the web, including HyperText Markup Language (HTML), Cascading Style Sheets (CSS), and scripting languages like PHP. Through hands-on exercises, you'll learn how to structure web pages with HTML, add visual appeal with CSS, and create dynamic functionalities using PHP. Furthermore, the course explores essential server-side technologies like Apache and IIS, along with control panel systems like cPanel/WHM. You'll gain the ability to configure web servers, manage hosting environments, and deploy your websites. Additionally, you'll be introduced to WordPress, a popular content management system (CMS), empowering you to build and manage websites with ease.

References

• Head First HTML and CSS by Elisabeth Robson (Latest Edition)
• The Web Developer's Guide to Complete Control of PHP by Steven Suehring (Latest Edition)
• Apache: The Definitive Guide by Cliff Frazier (Latest Edition)
• Microsoft IIS 10.0 Administration by Ben Hatch (Latest Edition)
• WordPress: The Missing Manual by Matthew MacDonald (Latest Edition)

Learning Outcomes

• Construct well-structured and visually appealing web pages using HTML and CSS.
• Develop dynamic functionalities using PHP scripting.
• Configure and manage web servers like Apache and IIS.
• Utilize control panel systems like cPanel/WHM for website administration.
• Create and manage websites effectively using WordPress as a CMS.
• Apply best practices for web development and security.
• Troubleshoot and debug common website issues.

CET321 - Internet of Things

Course Contents

The Internet of Things (IoT) refers to the billions of physical devices worldwide connected to the Internet including sensors and capability to process and exchange data. Students learn about the definitions and working of IoT Network Architecture, Smart Objects, Connecting Smart Objects, IoT Access Technologies, layering concepts in IoT, Application Protocols for IoT, Data and Analytics for IoT, Securing IoT, Cloud and Fog Computing for the IoT, and IoT applications and uses in Industry. Students learning includes IoT device programming (Arduino and Raspberry Pi), sensing and actuating technologies, IoT protocol stacks (e.g., Zigbee, 5G, NFC, MQTT), security management, and cloud based IoT platforms. The topics include programming Arduino using the Arduino IDE (Integrated Development Environment), using a wide variety of hardware and components, and prototyping using a breadboard. The student also explores how to set up the Raspberry Pi environment and write and execute some basic programming code on the Raspberry Pi. The course also covers how to use programming-based IDE (integrated development environments) for the Raspberry Pi and trace and debug the device's programming code. Students are guided through laboratory assignments designed to give them practical, real-world experience. Lectures, assignments, lab sessions and projects based on the Internet of Things are used to deliver the course.

References

• Hanes, D., Salgueiro, G., Grossetete, P., Barton, R., & Henry, J. (2017). IoT fundamentals: Networking technologies, protocols, and use cases for the internet of things. Cisco Press.
• Iqbal, M. A., Hussain, S., Xing, H., & Imran, M. A. (2020). Enabling the Internet of Things: Fundamentals, Design and Applications. John Wiley & Sons.
• Buyya, R., & Dastjerdi, A. V. (Eds.). (2016). Internet of Things: Principles and paradigms. Elsevier.
• Coursera, Interfacing with the Arduino, https://www.coursera.org/learn/interface-with-arduino, Accessed on 14.11.2022
• Coursera, The Raspberry Pi Platform and Python Programming for the Raspberry Pi, https://www.coursera.org/learn/raspberry-pi-platform, Accessed on 14.11.2022
• Swayam, Introduction to Internet of Things, https://onlinecourses.nptel.ac.in/noc22_cs53/preview , Accessed on 14.10.2022
• NPTEL, Internet of Things, https://archive.nptel.ac.in/courses/106/105/106105166/ , Accessed on 14.10.2022

Learning Outcomes

• CLO 1: Simulate the definition and significance of the Internet of Things.
• CLO 2: Analyze the architecture, operation, and business benefits of an IoT solution.
• CLO 3: Review constraints and opportunities of Cloud and Fog Computing for Internet of Things.
• CLO 4: Select the right sensors and communication protocols to use in IoT environment.
• CLO 5: Apply IoT concepts and write programs in the labs to solve problems.
• CLO 6: Write the lab report and present the output result as lab record.
• CLO 7: Demonstrate the basic configuration related to IoT sensors to accomplish group tasks.

Tutorials

• WEEK 1: Introduction to Arduino/Raspberry Pi.
• WEEK 2: Manipulating a LED using Raspberry Pi
• WEEK 3: Remote login to Raspberry Pi with ssh.
• WEEK 4: Blinking a LED on Arduino.
• WEEK 5: LED brightness using the PWM library (Pulse with Modulation).
• WEEK 6: Calculating the ambient temperature and humidity.
• WEEK 7: Detect the distance of an object using an ultrasonic sensor.
• WEEK 8: Interface Bluetooth with Arduino/Raspberry Pi to send sensor data to a smartphone.
• WEEK 9: Create a home security system using a PIR sensor.
• WEEK 10: Motor simulation using relay on Tinkercad.
• WEEK 11: Make a home automation system to operate home appliances ESP 8266 (Wi-Fi Module).
• WEEK 12: Install MySQL DB on the Raspberry Pi to perform SQL queries
• WEEK 13: Data analysis and IoT
• WEEK 14: Creating automation project (Home automation /office automation).
• WEEK 15: Lab Final Exam.

CET322 - Cloud Computing

Course Contents

Cloud computing is a term that refers to the use of hardware and software resources that are delivered as a service over the Internet. Cloud computing allows businesses to access their applications and data from any location, at any time. It also offers the ability to scale their resources up or down, as needed. Cloud computing also provides businesses with a way to scale their IT operations quickly and efficiently. Cloud computing is the on-demand delivery of IT resources over the Internet with pay-as-you-go pricing to save the infrastructure cost. Organizations of every type, size, and industry are using the cloud for a wide variety of use cases, such as data backup, disaster recovery, email, virtual desktops, software development and testing, big data analytics, and customer-facing web applications. In this course students will learn the introduction to cloud computing, software as a service (SaaS), platform as a service (PaaS), infrastructure as a service (IaaS), identification as a service (IDaaS). The topics include data storage in the cloud, collaboration in the cloud, virtualization, securing the cloud, disaster recovery and business continuity and the cloud, service-oriented architecture, managing the cloud, migrating to the cloud, governing the cloud, designing cloud-based solutions and various case study will be discussed during the class. The laboratory work consists of experiments illustrating the principles, laws and concepts discussed in the course.

References

• Jamsa, K. (2022). Cloud computing, 2nd Edition, Oreilly, Jones & Bartlett Publishers
• https://azure.microsoft.com/en-us/resources/cloud-computing-dictionary/what-is-cloud-computing/#benefits
• https://www.udemy.com/course/cloud-computing-lab-programs/
• https://aws.amazon.com/what-is-cloud-computing/

Learning Outcomes

• CLO 1: Analyze and implement the cloud deployment and service models to solve the computing problems per the given situation.
• CLO 2: Evaluate and derive various cloud delivery models and security levels for cloud-based infrastructure to accomplish user requirements.
• CLO 3: Demonstrate the ability to accomplish group tasks related to designing the cloud-based solution for the required infrastructure of the organization.
• CLO 4: Formulate system goals and requirements, data privacy requirements, capacity planning and scaling capabilities for the cloud infrastructure to communicate effectively to all stakeholders.
• CLO 5: Apply the security techniques, perform experiments, interpret data and draw results and conclusions.
• CLO 6: Write lab reports and present results.

Tutorials

• WEEK 1: Lab Induction, devices, simulator, Course Policies, reports
• WEEK 2: Install Oracle Virtual box and create two virtual machines on the computer.
• WEEK 3: Install a C compiler in the virtual machine created using virtual box and execute Simple Programs
• WEEK 4: Install Google App Engine. Create hello world app and other simple web applications using python/java
• WEEK 5: Test ping command to test the communication between the guest OS and Host OS
• WEEK 6: Simulate a cloud scenario using CloudSim and run a scheduling algorithm that is not present in CloudSim
• WEEK 7: Find a procedure to transfer the files from one virtual machine to another virtual machine. Find a procedure to launch virtual machine using trystack
• WEEK 8: Install Hadoop single node cluster and run simple applications.
• WEEK 9: Develop hadoop application to count no of characters, no of words and each character frequency.
• WEEK 10: Develop hadoop application to process given data and produce results such as finding the year of maximum usage, year of minimum usage.
• WEEK 11: Establish an AWS account. Use the AWS Management Console to launch an EC2 instance and connect to it.
• WEEK 12: Design a protocol and use Simple Queue Service(SQS)to implement the barrier synchronization after the first phase
• WEEK 13: Develop a Hello World application using Google App Engine. Write a Google app engine program to generate n even numbers and deploy it to Google cloud
• WEEK 14: Develop a Guestbook Application using Google App Engine, Google app engine program multiply two matrices
• WEEK 15: a) Develop a Windows Azure Hello World application using. B) Google app engine program to validate the user use mysql to store user info and deploy on to cloud , also implement it with Azure.

CET331 - Security Policy, Threats & Risk Management

Course Contents

Security threats and risk analysis is an essential and most useful component in the current digital world to analyze and secure organizational networks, data, and information. Every individual and organization look to ensure the security of the data while using the internet with their important credentials. In this course students learn about the entire risk analysis process in accessible language, providing the tools and insight needed to effectively analyze risk and secure facilities in a broad range of industries and organizations. This course covers the security platforms, risk analysis and management for critical asset protection, understanding the physical security risk, risk management, operational risk, legal risk (information security), reputational risk, risk analysis including the physical security risk assessments, risk assessment method, benefits of security assessments. The student learning includes management role in risk analysis, all-hazards approach versus design-basis threat, identifying threats, jurisdictional threat, identifying hazards, natural hazards, man-made hazards, risk identification, asset identification and prioritization. The course also covers infrastructure protection plan, vulnerability assessment, physical security systems, risk assessment, crime prevention through environmental design and emergency action plans. Also, various case studies are discussed during the class. The laboratory work consists of experiments illustrating the principles, laws and concepts discussed in the course.

References

• Gregory Allen, Rachel Derr (2015), Threat Assessment and Risk Analysis, Butterworth-Heinemann, ISBN: 9780128024935
• Freund, J., & Jones, J. (2015). Measuring and managing information risk: A FAIR approach. (ISBN 9780127999326)
• Douglas W. Hubbard & Richard Seiersen. How to Measure Anything in Cybersecurity Risk. (ISBN: 9781119085294)
• https://www.youtube.com/watch?v=leEUQSs0Ozs
• https://apus.libguides.com/er.php?course_id=55727
• https://www.iia.nl/SiteFiles/vakpub/GTAG%20Assessing%20Cybersecurity%20Risk.pdf
• https://www.trellix.com/en-us/advanced-research-center/threat-reports/jul-2022.html
• https://www.wbdg.org/resources/threat-vulnerability-assessments-and-risk-analysis
• https://www.ncbi.nlm.nih.gov/books/NBK55881/
• https://www.acs.org/content/dam/acsorg/about/governance/committees/chemicalsafety/publications/identifying-and-evaluating-hazards-in-research-laboratories.pdf
• https://www.cisa.gov/free-cybersecurity-services-and-tools
• https://www2.gov.bc.ca/gov/content/governments/services-for-government/information-management-technology/information-security/security-threat-and-risk-assessment#:~:text=What%20are%20Security%20Threat%20and,risk%20ratings%20and%20planned%20treatments.

Learning Outcomes

• CLO 1: Demonstrate the need for ongoing evaluation, reaction, and contingency planning for organization.
• CLO 2: Identify security and risk problem terms of the individual, community and organizational security levels of analysis.
• CLO 3: Demonstrate an understanding of the cognitive, social, legal, ethical, diversity, and security perspectives surrounding a given problem.
• CLO 4: Analyze threats and risk assessment methodologies applicable to individuals and organizations.
• CLO 5: Apply the security risk analysis techniques, perform experiments, interpret data and draw results and conclusions.
• CLO 6: Write lab reports and present results.

Tutorials

• WEEK 1: Lab Induction, devices, simulator, Course Policies, reports
• WEEK 2: Working with Wireshark
• WEEK 3: Working with Wireshark
• WEEK 4: Working with Security Onion
• WEEK 5: Working with Security Onion
• WEEK 6: Working with KeePass
• WEEK 7: Working with KeePass
• WEEK 8: Working with Metasploit Framework
• WEEK 9: Working with Metasploit Framework
• WEEK 10: Working with Nmap, Network Mapper
• WEEK 11: Working with Nmap, Network Mapper
• WEEK 12: Open Ended Projects
• WEEK 13: Open Ended Projects
• WEEK 14: Open Ended Projects
• WEEK 15: Open Ended Projects

CET332 - Penetration Testing & Ethical Hacking

Course Contents

As a network security professional, it is necessary to distinguish and comprehend organizations weaknesses and work diligently to mitigate them before unwanted activity happens. In this course, students learn how to plan, prepare, and execute a penetration test in modern organization and digital world. This course covers introduction to hacking: white hat hacker, black hat hacker, gray hat hacker, script kiddie, elite hacker, hacktivist, ethical hacker, the ethics of hacking and cracking, types of attacks, encryption, and password cracking: cryptography, cryptanalysis, description of popular ciphers. The topics also include attacks on passwords, password crackers; penetration testing methodologies, categories of penetration test: black box, white box, gray box, types of penetration tests, report writing, understanding the audience, structure of a penetration testing report; linux basics, information gathering techniques: active information gathering, passive information gathering, sources of information gathering; target enumeration and port scanning techniques. The student learning includes vulnerability assessment, network sniffing, remote exploitation, client-side exploitation, post exploitation and maintaining access with backdoors, rootkits, and meterpreter, windows exploit development basics, social engineering, and phishing attacks: the basics of social-engineer toolkit (SET) website attack vectors, the credential harvester; wireless hacking and web hacking and Incident Handling. The laboratory work consists of experiments illustrating the principles, problems and concepts discussed in the course.

References

• Baloch, R. (2017). Ethical hacking and penetration testing guide. Auerbach Publications.
• Engebretson, P. (2013). The basics of hacking and penetration testing: ethical hacking and penetration testing made easy. Elsevier.
• https://www.softwaretestinghelp.com/password-cracker-tools/
• https://www.golinuxcloud.com/social-engineering-toolkit-phishing/#:~:text=The%20social%20engineering%20toolkit%20also,their%20day%20to%20day%20activities.
• https://www.eccouncil.org/ethical-hacking/
• https://www.simplilearn.com/tutorials/cyber-security-tutorial/what-is-ethical-hacking

Learning Outcomes

• CLO 1: Evaluate the important standards and methods of how attackers can enter into PC frameworks.
• CLO 2: Categorize legal and ethical issues related to vulnerability and penetration testing.
• CLO 3: Execute penetration test using typical hacking tools in an ethical manner.
• CLO 4: Analyze the data breaches and reviews the infrastructure security for a given scenario.
• CLO 5: Select the suitable ethical hacking and penetration testing tools and use it in to lab for a given problem.
• CLO 6: Write lab reports and present results.

Tutorials

• WEEK 1: Lab Induction, introduction to network devices, Course Policies, and reports.
• WEEK 2: Set Up Kali Linux from VM, Set Up Kali Linux from ISO File,
• WEEK 3. Set Up a Victim: Metasploitable Linux, Set Up a Victim: OWASP Broken Web Applications, Set Up a Victim: Windows System
• WEEK 4: Network Scan
• WEEK 5: Vulnerability Scan
• WEEK 6: Local password Guessing Attacks with Hydra
• WEEK 7: Password Cracking with John the Ripper
• WEEK 8: Password Cracking with Hashcat
• WEEK 9: Working with other password cracking tools like AirCrack, Cain and Abel
• WEEK 10: Work on SQL Injection
• WEEK 11: Information Gathering Over the Internet (using Fingerprinting Tools: The Harvester and Recon-NG, Maltego - Visual Link Analysis Tool)
• WEEK 12: Work on Social Engineering Toolkit (SET) for Phishing
• WEEK 13: Open Ended Project
• WEEK 14: Open Ended Project
• WEEK 15: Lab Final Exam

CET333 - Advanced Digital Forensics

Course Contents

Digital forensics is the practice of recovering and analyzing data from digital devices, such as computers, smartphones, and tablets. It can be used to investigate crimes, such as cybercrime, identity theft, and child pornography. Digital forensics can also be used to recover data that has been deleted or lost due to hardware failure or software corruption. Digital forensic principles are applied in the industry primarily for digital investigations. Students learn about the definitions and working of cyber-forensics, cyber laws, and regulations. This course also covers the computer forensics fundamentals, benefits of forensics, computer crimes, computer forensics evidence and courts, legal concerns and private issues, digital forensics tools, understanding data recovery workstation and software, digital forensic approaches, mobile forensics, social media forensics, social engineering forensics and digital investigation processes, data acquisition- understanding storage formats and digital evidence. The topics include determining the best acquisition method, acquisition tools, validating data acquisitions, law enforcement and incident response, anti-forensics, link, and visual analysis, psychological, ethical, implications of digital forensics, operating system artifacts, securing a computer incident or crime. The student learning includes seizing digital evidence at scene, storing digital evidence, validating, and testing forensic software, addressing data-hiding techniques, performing remote acquisitions, e-mail investigations- investigating email crime and violations, understanding e-mail servers, continuous on alert: challenges of digital forensics and various case studies to understand and solve the digital forensics problems. The laboratory work consists of experiments illustrating the principles, problems and concepts discussed in the course.

References

• Gogolin, G. (Ed.). (2021). Digital forensics explained. CRC Press.
• Zhang, X., & Choo, K. K. R. (2020). Digital Forensic Education. An Experiential Learning Approach. Switzerland: Springer.
• Sammons, J. (2012). The basics of digital forensics: the primer for getting started in digital forensics. Elsevier.
• Nelson, B, Phillips, A, Enfinger, F, Stuart, C., “Guide to Computer Forensics and Investigations, Thomson Course Technology, 2006, ISBN: 0-619-21706-5
• https://www.open.edu/openlearn/science-maths-technology/digital-forensics/
• https://www.udemy.com/course/become-computer-forensics-expert-in-7-days/

Learning Outcomes

• CLO 1: Analyze the digital footprint to identify solutions in digital forensics.
• CLO 2: Evaluate the rules, laws, policies, and procedures, to implement appropriate strategies associated with digital forensics.
• CLO 3: Develop the skills to solve computer forensics problems from legal, psychological, ethical perspective.
• CLO 4: Formulate the method related to data collection, preservation and analysis for legal proceedings.
• CLO 5: Demonstrate the ability to present the analysis of group tasks/case related to digital forensics.
• CLO 6: Explain digital forensics tools, perform experiments, interpret data and draw results and conclusions.
• CLO 7: Write lab reports and present results.

Tutorials

• WEEK 1: Lab Induction, course policies and format of lab reports.
• WEEK 2: Introduction to cyber forensic tools.
• WEEK 3: Understanding and analysis of Hard Disks and File Systems.
• WEEK 4: Digital Evidence Acquisition & Recovery of Deleted Files using Forensics Tools.
• WEEK 5: Digital Evidence Acquisition & Recovery of Deleted Files using Forensics Tools.
• WEEK 6: Hiding and extracting any text file behind an image file/ Audio file using Command Prompt and Extraction of Exchangeable image file format (EXIF) Data from Image Files.
• WEEK 7: a) Restoring the Evidence Image using EnCase Imager Open Encase Imager and add the evidence to Encase imager. b) Learn to collect Email Evidence in Victim PC
• WEEK 8: a) Find Last Connected USB on your system (USB Forensics). b) Comparison of two Files for forensics investigation. by Compare IT software
• WEEK 9: Forensics Investigation Using AccessData FTK
• WEEK 10: Learn about application password crackers
• WEEK 11: Log Capturing and Event Correlation
• WEEK 12: Investigation and analysis of Logs and Network Traffics
• WEEK 13: Investigation and analysis of Logs and Network Traffics
• WEEK 14: Learn to prepare Investigative Reports
• WEEK 15: Lab Final Exam

CET334 - Cryptographic Algorithms & Protocols

Course Contents

Cryptographic mechanisms are used in the digital world for a wide array of communication and data protections. Students learn the areas of cryptography and cryptanalysis. This course develops a basic understanding of the algorithms used to protect users online and to understand some of the design choices behind these algorithms as well as secure key management. This course covers OSI security architecture; security attacks; security services; security mechanisms; model for network security, classical encryption techniques; symmetric cipher model; transposition techniques, block ciphers and the data encryption standard, triple DES, and block cipher modes of operation: electronic codebook mode, cipher block chaining mode, cipher feedback mode, output feedback mode, counter mode. The topics include stream ciphers and RC4, advanced encryption standard (AES), AES cipher, public-key cryptography and RSA, principles of public-key cryptosystems, the RSA algorithm, the security of RSA, key management; Diffie-Hellman key exchange, elliptic curve arithmetic, message authentication and hash functions. The student learning includes authentication requirements, authentication functions, message authentication codes, hash functions, security of hash functions and MACs, digital signatures and authentication protocols case study, authentication applications – kerberos, x.509 authentication service public-key infrastructure. The students are exposed to various case studies during the class. The laboratory work consists of experiments illustrating the principles, laws and concepts discussed in the course.

References

• Stallings, W. (2016). Cryptography and network security: Principles and practice (7th ed.). Pearson.
• Deng, R.H., & Birukuo, A.; (2019), Applied Cryptography and Network Security. Springer
• https://www.slideshare.net/natemiller67/cryptography-and-network-security-william-stallings-lawrie-brown
• https://www.youtube.com/watch?v=C7vmouDOJYM
• https://www.youtube.com/watch?v=5jpgMXt1Z9Y
• https://www.fortinet.com/resources/cyberglossary/what-is-cryptography

Learning Outcomes

• CLO 1: Review and evaluate the cryptographic algorithms that are appropriate for the given professional context.
• CLO 2: Select suitable cryptographic tools to meet the organizational requirements.
• CLO 3: Formulate the security solution using cryptography, considering the ethical aspects, to meet the requirements, working in teams.
• CLO 4: Form key management system to solve security service requirements and communicate.
• CLO 5: Apply the security techniques, perform experiments, interpret data and draw results and conclusions.
• CLO 6: Write lab reports and present results.

Tutorials

• WEEK 1: Lab Induction, devices, simulator, Course Policies, reports
• WEEK 2: Write a program and implement the substitution techniques algorithms to perform encryption and decryption.
• WEEK 3: Write a program and implement the transposition techniques algorithms to perform encryption and decryption.
• WEEK 4: Introduction to OpenSSL Introduction to Federal Information Processing Standards (FIPs)
• WEEK 5: Implement and show the output results of Steganography concepts.
• WEEK 6: Implement Symmetric Key Cryptography Pseudo random number generation DES key creation Encryption and decryption with DES File integrity with MD5 hash
• WEEK 7: Symmetric Key Distribution with NetCat with Apache Key compromise by protocol analyzer (Wireshark)
• WEEK 8: Implement and show the Message Authentication Codes
• WEEK 9: Implement digital signature methods and generate the Digital Signature.
• WEEK 10: Perform Password Auditing/Cracking.
• WEEK 11: Implement the Kerberos concept and develop a system to show it.
• WEEK 12: Implement the Kerberos concept and develop a system to show it.
• WEEK 13: Open Ended Projects
• WEEK 14: Open Ended Projects
• WEEK 15: Open Ended Projects

CET341 - Data Cleansing and Migration

Course Contents

Data Cleansing and Migration is a specialized course designed to equip students with the essential skills and knowledge required for managing and optimizing data in the realm of date science and technology. This course delves into the intricacies of data quality, cleansing, and transformation techniques, emphasizing the critical role data plays in modern computing environments. Students will learn advanced data cleaning methodologies, data profiling, and data migration strategies, ensuring the accuracy, consistency, and reliability of data across various applications and systems. Through hands-on exercises and real-world case studies, participants will gain expertise in tackling data quality challenges, enabling them to excel in data-centric roles and make informed decisions within the dynamic landscape of computer science and technology.

References

• The Key to Successful Data Migration: Pre-Migration Activities - Rajender Kumar
• Practical Data Migration - John Morris

Learning Outcomes

• CLO 1: Develop expertise in data quality assessment and recognize its significance in computer science and technology.
• CLO 2: Master advanced data cleansing techniques to ensure data accuracy, consistency, and reliability.
• CLO 3: Acquire proficiency in data profiling methods for comprehensive data analysis.
• CLO 4: Learn effective data migration strategies for seamless data transfer across applications and systems.
• CLO 5: Apply hands-on exercises and real-world case studies to tackle complex data quality challenges.
• CLO 6: Gain the skills required to excel in data-centric roles and make informed decisions within the dynamic computer science and technology landscape.

Tutorials

• WEEK 1: Introduction to Data Quality Assessment.
• WEEK 2: Significance of Data Quality in Computer Science.
• WEEK 3: Advanced Data Cleansing Techniques.
• WEEK 4: Ensuring Data Accuracy, Consistency, and Reliability.
• WEEK 5: Proficiency in Data Profiling Methods.
• WEEK 6: Comprehensive Data Analysis through Profiling.
• WEEK 7: Effective Data Migration Strategies.
• WEEK 8: Seamless Data Transfer Across Applications.
• WEEK 9: Hands-On Exercises for Data Quality.
• WEEK 10: Real-World Case Studies in Data Quality.
• WEEK 11: Tackling Complex Data Quality Challenges.
• WEEK 12: Skills for Data-Centric Roles in Technology.
• WEEK 13: Informed Decision-Making in Computer Science.
• WEEK 14: Application of Data Quality Knowledge in Practical Scenarios.
• WEEK 15: Lab Final Exam

CET342 - Data Mining

Course Contents

Data mining is one of the main areas of data science, focusing on efficient data collection and analysis implementation. Data mining is the process of extracting valuable information from large data sets. It involves sorting through vast amounts of data to find hidden patterns and trends. This process can be used to uncover customer behavior, predict future events, and optimize business processes. Data mining can be a time-consuming and expensive endeavor, but it can offer significant rewards for businesses that are willing to invest in it. This course introduces installing Rapid Miner, Python, and Jupyter Notebooks and provides an overview of Rapid Miner and Jupyter Notebooks with examples. It covers Data Mining standard processes and models: KDD, SEMMA, CRISP-DM, a review of processes which includes TDSP – Team Data Science Processes, Data reduction in Jupyter Notebooks and Rapid Miner, Clustering in Python and Rapid Miner, classification in Python and Rapid Miner. The topics include Anomaly detection in Python and Rapid Miner, association analysis in Python and Rapid Miner, Regression Analysis in Python and Rapid Miner, Sequence Mining in Python and Rapid Miner, dealing with missing values using Python, working with real datasets, along with best practices for Data Mining with examples. Lectures focusing on data visualization fundamentals, Lab sessions, projects, and assignments are used to deliver the course.

References

• Aggarwal, C. C. (2015). Data mining: the textbook (Vol. 1). New York: springer.
• Hofmann, M., & Klinkenberg, R. (Eds.). (2016). RapidMiner: Data mining use cases and business analytics applications. CRC Press.
• https://academy.rapidminer.com/learning-paths/get-started-with-rapidminer-and-machine-learning
• https://www.tutorialspoint.com/data_mining/index.htm
• https://www.guru99.com/data-mining-tutorial.html
• https://www.ibm.com/docs/en/db2/11.1?topic=tutorials-mining-tutorial

Learning Outcomes

• CLO 1: Explain and apply the Data Mining processes.
• CLO 2: Solve problems related to Data Mining.
• CLO 3: Develop data clustering systems.
• CLO 4: Create Anomaly detection systems.
• CLO 5: Create Association and sequence mining systems.
• CLO 6: Apply regression analysis.
• CLO 7: Write lab reports and present results.

Tutorials

• WEEK 1: Introduction: Install Rapid Miner, Python and Jupyter Notebooks
• WEEK 2: Overview of Rapid Miner and Jupyter Notebooks with examples
• WEEK 3: Data Mining standard processes and models: KDD, SEMMA, CRISP-DM
• WEEK 4: A review of processes, TDSP – Team Data Science Processes
• WEEK 5: Data reduction in Jupyter Notebooks and Rapid Miner
• WEEK 6: Clustering in Python and Rapid Miner.
• WEEK 7: Classification in Python and Rapid Miner
• WEEK 8: Anomaly detection in Python and Rapid Miner
• WEEK 9: Association analysis in Python and Rapid Miner
• WEEK 10: Regression Analysis in Python and Rapid Miner
• WEEK 11: Sequence Mining in Python and Rapid Miner
• WEEK 12: Dealing with missing values using Python.
• WEEK 13: Working with real datasets.
• Week 14: Best practices for Data Mining with examples.
• WEEK 15: Lab Final Exam.

CET343 - Big Data Analytics

Course Contents

Data is a precious and powerful resource that has become a critical part of digital transformation. Today, gathering, storing, and analyzing data has become far more sophisticated than in previous years. With big data analysis technologies, it is possible to make accurate and valuable business decisions. This course introduces Big Data Analytics, Hadoop, NoSQL Big Data Management, MongoDB, and Cassandra. It covers MapReduce, Hive and Pig, Spark and Big Data Analytics, and Machine Learning Algorithms for Big Data Analytics, including Estimating the Relationships, Outliers, Variances, Probability Distributions, and Correlations. It explores Regression Analysis, Finding Similar Items, Similarity of Sets and Collaborative Filtering, Frequent Itemsets, and Association Rule Mining. It discusses Clustering Analysis and classification, Collaborative Recommendation, Model for Recommendation Systems, Content-Based Recommendation, and Knowledge-based Recommendation. The course also covers Apache Mahout Machine-Learning Applications, Data Stream Mining and Real-Time Analytics Platform, Spark Streaming, Graph Analytics for Big Data and Spark Graph Platform, Text, Web Content, Link, and Social Network Analytics. Web Mining, Web Content, Web Usage Analytics, Page Rank, Structure of the Web and Analyzing a Web Graph, Social Networks as Graphs, and Social Network Analytics concepts. Lectures focusing on big data analytics fundamentals, Lab sessions, projects, and assignments are used to deliver the course.

References

• Kamal, R., & Saxena, P. (2019). Big Data Analytics: Introduction to Hadoop, Spark, and Machine-Learning. McGraw-Hill Education.
• https://www.tutorialspoint.com/apache_spark/index.htm
• https://www.simplilearn.com/tutorials/big-data-tutorial
• https://www.edureka.co/blog/big-data-tutorial

Learning Outcomes

• CLO 1: Analyze given problem to find solutions using fundamental big data concepts.
• CLO 2: Construct Big Data systems using different tools for efficient data storing, access and management.
• CLO 3: Develop use cases using big data techniques for a predefined scenario.
• CLO 4: Formulate efficient solutions using big data techniques based on newly acquired knowledge.
• CLO 5: Review the professional and ethical responsibility related to big data analytics.
• CLO 6: Write lab reports and present results.

Tutorials

• WEEK 1: Introduction to Big Data Analytics
• WEEK 2: Introduction to Hadoop
• WEEK 3: NoSQL Big Data Management, MongoDB, and Cassandra
• WEEK 4: MapReduce, Hive and Pig
• WEEK 5: Spark and Big Data Analytics
• WEEK 6: Machine Learning Algorithms for Big Data Analytics: Estimating the Relationships, Outliers, Variances, Probability Distributions and Correlations, Regression Analysis
• WEEK 7: Finding Similar Items, Similarity of Sets and Collaborative Filtering, Frequent Itemsets and Association Rule Mining, Clustering Analysis, and classification.
• WEEK 8: Recommendation System: Collaborative Recommendation, Model for Recommendation Systems, Content Based Recommendation, Knowledge-based Recommendation
• WEEK 9: Apache Mahout Machine-Learning Applications
• WEEK 10: Data Stream Mining and Real-Time Analytics Platform• Spark Streaming
• WEEK 11: Graph Analytics for Big Data and Spark Graph Platform
• WEEK 12: Text, Web Content, Link, and Social Network Analytics: Web Mining, Web Content and Web Usage Analytics
• WEEK 13: Page Rank, Structure of Web, and Analyzing a Web Graph
• WEEK 14: Social Networks as Graphs and Social Network Analytics
• WEEK 15: Lab Final Exam.

CET344 - Algorithms for Data Science

Course Contents

Algorithms for Data Science is a meticulously designed course tailored to the needs of aspiring data scientists. This course delves deep into the realm of data science, focusing on the core algorithms and computational techniques essential for extracting meaningful insights from complex datasets. Students will explore a comprehensive range of topics, including data preprocessing, feature engineering, clustering, classification, and regression algorithms. Through hands-on coding, data exploration, and real-world projects, participants will develop a profound understanding of algorithmic principles crucial for uncovering patterns, making predictions, and deriving valuable knowledge from data. This course equips students with the analytical skills required to excel in the dynamic field of data science, enabling them to harness the power of algorithms for data-driven decision-making and innovation in various domains.

References

• Algorithms for Data Science - Brian Steele, John Chandler, Swarna Reddy

Learning Outcomes

• CLO 1: Master fundamental data preprocessing techniques to prepare complex datasets for analysis.
• CLO 2: Acquire proficiency in feature engineering, enabling the extraction of valuable information from data.
• CLO 3: Explore clustering algorithms to identify patterns and group similar data points effectively.
• CLO 4: Understand classification algorithms for data-driven decision-making and predictive modeling.
• CLO 5: Develop expertise in regression algorithms for modeling and forecasting in data science.
• CLO 6: Apply hands-on coding and data exploration to gain practical algorithmic experience.
• CLO 7: Execute real-world data science projects to solve complex problems and derive actionable insights, preparing for success in data-driven domains.

Tutorials

• WEEK 1: Introduction to Data Preprocessing Techniques.
• WEEK 2: Preparing Complex Datasets for Analysis.
• WEEK 3: Proficiency in Feature Engineering.
• WEEK 4: Extracting Valuable Information from Data.
• WEEK 5: Exploring Clustering Algorithms.
• WEEK 6: Identifying Patterns and Effective Data Grouping.
• WEEK 7: Understanding Classification Algorithms.
• WEEK 8: Data-Driven Decision-Making and Predictive Modeling.
• WEEK 9: Developing Expertise in Regression Algorithms.
• WEEK 10: Modeling and Forecasting in Data Science.
• WEEK 11: Hands-On Coding and Data Exploration.
• WEEK 12: Practical Algorithmic Experience.
• WEEK 13: Execution of Real-World Data Science Projects.
• WEEK 14: Solving Complex Problems, Deriving Actionable Insights, and Preparing for Success in Data-Driven Domains.
• WEEK 15: Lab Final Exam

CET351 - Machine Learning

Course Contents

Machine learning is a process of teaching computers to learn from data, without being explicitly programmed. It is seen as a subset of artificial intelligence. Machine learning algorithms aim to solve major cognitive and computational problems for multiple industries. And it is the process of teaching computers to make decisions for themselves. This process is similar to the way humans learn, by taking in data and using it to make predictions or recommendations. Machine learning can be used for a variety of tasks, such as image recognition, voice recognition, and even making predictions about the future. The course aims to introduce the concepts, theories, and state-of-the-art algorithms for machine learning. Students will learn theories and practical aspects of machine learning techniques, including regression, clustering, and classification. This course covers an introduction that discusses the ambitions and goals of Machine Learning and how to install the Python scikit-learn package. It introduces Bayesian Classifiers, Nearest-Neighbor Classifiers, Linear and Polynomial Classifiers, Decision Trees, Artificial Neural Networks, Voting Assemblies, and Boosting. It also covers Performance Evaluation, Statistical Significance, Induction in Multi-label domains, Unsupervised Learning, Reinforcement Learning, and practical issues. Lectures focusing on machine learning fundamentals, projects, and assignments are used to deliver the course.

References

• Kubat, Miroslav, and Kubat. An introduction to machine learning. 3rd edition. Cham, Switzerland: Springer International Publishing, 2019. ISBN-13: 978-3030819347, ISBN-10: 3030819345
• https://www.javatpoint.com/machine-learning
• https://www.kaggle.com/learn/intro-to-machine-learning
• https://www.simplilearn.com/tutorials/machine-learning-tutorial

Learning Outcomes

• CLO 1: Identify and categorize the problem to apply appropriate Machine Learning algorithms
• CLO 2: Design model to solve various computing problems based on newly acquired knowledge
• CLO 3: Evaluate the performance of the model to decide how to improve it
• CLO 4: Review the professional and ethical responsibility related to Machine Learning
• CLO 5: Communicate and work effectively in a team to build Machine Learning solutions.
• CLO 6: Use different Machine Learning tools.
• CLO 7: Write lab reports and present results.

Tutorials

• WEEK 1: Installing Python scikit-learn package and getting familiar with the environment
• WEEK 2: Implement Bayesian Classifiers with scikit
• WEEK 3: Implement Nearest-Neighbor Classifiers with scikit
• WEEK 4: Implement Inter-Class Boundaries: Linear and Polynomial Classifiers with scikit
• WEEK 5: Implement Decision Trees with scikit
• WEEK 6: Implement Artificial Neural Networks with scikit
• WEEK 7: Implement Voting Assemblies and Boosting with scikit
• WEEK 8: Implement Performance Evaluation with scikit
• WEEK 9: Implement Statistical Significance with python
• WEEK 10: Implement Induction in Multi-label Domains with scikit
• WEEK 11: Implement K means Unsupervised Learning with scikit
• WEEK 12: Implement Reinforcement Learning with python
• WEEK 13: Experience from Historical Applications with python
• WEEK 14: Practical examples with python
• WEEK 15: Lab Final Exam.

CET352 - Image Processing and Computer Vision

Course Contents

Digital Image processing and Computer Vision are core domain applications of Artificial Intelligence used to solve complex real-world problems in various industries. The use of a digital computer to run an algorithm on digital images is known as "digital image processing." Digital image processing has significant benefits as it permits applying various algorithms to the input data images. There are many deep-learning applications for image processing. This includes medical image processing, compression, restoration, and data mining. The students learn to apply multiple computer techniques, such as Image Enhancement and Segmentation, Color Image Processing, Morphological Image Processing, and Object Representation, which help them design efficient algorithms for real-world applications. This course introduces the Origin of Digital Image Processing, Fundamental Steps of Image Processing, Components of Digital Image Processing Systems, Applications of Digital Image Processing, and Elements of Visual perception, Intensity Transformations and Spatial Filtering, Filtering in the Frequency Domain, Image Restoration, and Reconstruction. It explores Wavelet and Other Image Transforms, Color Image Processing, Image Compression, and Watermarking. It discusses Morphological Image Processing, Image Segmentation, Image Segmentation, and Active Contours, including Snakes and Level Sets, Feature Extraction, Image Pattern Classification, and Advanced Computer Vision with Deep Learning. Hands-on sessions focusing on Digital Image processing and Computer Vision fundamentals, projects, and assignments are used to deliver the course.

References

• Gonzalez, C.R., Woods, E.R. (2017). Digital Image Processing (4th ed.), Pearson
• https://www.tutorialspoint.com/dip/index.htm
• https://www.geeksforgeeks.org/digital-image-processing-basics/
• https://towardsdatascience.com/massive-tutorial-on-image-processing-and-preparation-for-deep-learning-in-python-1-e534ee42f122

Learning Outcomes

• CLO 1: Explain and apply the principles of Image Processing.
• CLO 2: Solve problems related to image processing using python
• CLO 3: Produce image processing application using python.
• CLO 4: Apply advanced concepts with image processing using deep learning.
• CLO 5: Write lab reports and present results.

Tutorials

• WEEK 1: Origin of Digital Image Processing, Fundamental Steps of Image Processing, Components of Digital Image Processing System
• WEEK 2: Applications of Digital Image Processing, Elements of Visual perception
• WEEK 3: Intensity Transformations and Spatial Filtering
• WEEK 4: Filtering in the Frequency Domain
• WEEK 5: Image Restoration and Reconstruction
• WEEK 6: Wavelet and Other Image Transforms
• WEEK 7: Color Image Processing
• WEEK 8: Image Compression and Watermarking
• WEEK 9: Morphological Image Processing
• WEEK 10: Image Segmentation
• WEEK 11: Image Segmentation and Active Contours: Snakes and Level Sets
• WEEK 12: Feature Extraction
• WEEK 13: Image Pattern Classification
• WEEK 14: Advanced Computer Vision with deep Learning
• WEEK 15: Lab Final Exam.

CET361 - Routing & Switching

Course Contents

Routers and switches are the main network devices which is needed to create and any network. Routing and switching are an essential part of the networking field to create and manage the networks. It helps to create and connect different networks and allow users to control the flow of traffic. This course covers basic LAN design, switching concepts and configuration, virtual LANs (VLANs), routing basics, the ip routing process, static routing, default routing, dynamic routing, managing the switch module, connecting devices to the switch module. The topics include SFP module slots, dual-purpose port with rj-45 and SFP connectors, verifying port connectivity, cable, and connectors, working with Routers, switches, and wireless devices to configure and troubleshoot VLANs, Wireless LANs and Inter-VLAN routing. The student learning includes configuring and troubleshooting redundancy on a switched network using STP and Ether Channel, Network Operating System, addressing and subnetting, Static and Dynamic Routing, routing protocols, interior gateway protocol (IGP) Protocols, Exterior Gateway (EGP) Protocols, Routing Information Protocol (RIP) protocol, Enhanced Interior Gateway Routing Protocol (EIGRP) protocol. The student also learns IOS and IP Features, Frame Relay Configuration, DHCP and Network Address Translation, Port Security, Syslog, Password recovery, configuration backup, IOS upgrade, IPv4 and IPv6 ALCs and ACL Troubleshooting. The laboratory work consists of experiments which will include the configuration of switches and routers, illustrating the principles, laws and concepts discussed in the course.

References

• WENDELL, ODOM, and Wilkins Sean. (2020) "CCNA Routing and Switching 200-125."
• https://www.youtube.com/watch?v=XgcGcrLKu1A&list=PLxbwE86jKRgMQ4HTuaJ7yQgA2BoNwY9ct
• https://www.netacad.com/courses/networking/ccna-switching-routing-wireless-essentials
• https://www.cisco.com/c/en/us/td/docs/routers/connectedgrid/modules/switch/gsg/cgr-esm-getting_started.pdf

Learning Outcomes

• CLO 1: Demonstrate the knowledge of routing and switching concepts.
• CLO 2: Configure routers and switches in a network.
• CLO 3: Describe how basic routing works and the use of routing protocols
• CLO 4: Configure and understand the components and operation of a wireless LAN.
• CLO 5: Analyze and assess the merits of static, default and dynamic routing protocols
• CLO 6: Select the suitable network component and implement it in to lab for a given problem.
• CLO 7: Write lab reports and present results.

Tutorials

• WEEK 1: Lab Induction, introduction to network devices, Course Policies, and reports.
• WEEK 2: Introduction to packet tracer & Graphical Network Simulator-3(GNS3).
• WEEK 3: Basic Router Security Configuration
• WEEK 4: Basic Router Security Configuration
• WEEK 5: Basic Serial Connection Configuration.
• WEEK 6: VLAN Configuration.
• WEEK 7: VLAN Configuration: Trunk Encapsulation.
• WEEK 8: Local Username/Password Database.
• WEEK 9: Port Security
• WEEK 10: DHCP (Dynamic Host Configuration Protocol) and DNS
• WEEK 11: Syslog, Password recovery, configuration backup, IOS upgrade.
• WEEK 12: InterVLAN Routing and Troubleshooting
• WEEK 13: IPv4 and IPv6 ALCs and ACL Troubleshooting
• WEEK 14: Review Configuration and Review Troubleshooting
• WEEK 15: Lab Final Exam

CET362 - Network Analysis and Troubleshooting

Course Contents

The "Network Analysis and Troubleshooting" course equips you with the skills and knowledge to diagnose and resolve network issues effectively. You'll delve into the fundamentals of network communication, including network protocols, IP addressing, and network devices like routers and switches. By understanding how data flows across a network, you'll gain the ability to identify bottlenecks, analyze network traffic, and troubleshoot common problems like connectivity issues, slow performance, and security breaches. This course emphasizes practical application through hands-on labs. You'll learn to utilize industry-standard tools like Wireshark, a powerful packet analyzer that allows you to capture and inspect network traffic data. With this skillset, you'll be able to pinpoint the root cause of network problems and implement solutions to ensure optimal network performance and uptime

References

• Computer Networking: A Top-Down Approach by James F. Kurose and Keith W. Ross
• TCP/IP Illustrated, Volume 1: The Protocols by Richard Stevens
• The Complete Guide to Network Troubleshooting by Keith Jarrett
• Wireshark Network Analysis: Expert Troubleshooting Skills by Guy Pamment
• Network+ Guide to Networks by William Shotts
• Wireshark University: https://www.wireshark.org/learn
• Professor Messer's Network+ Course: https://www.professormesser.com/network-plus/n10-008/n10-008-video/n10-008-training-course/
• Cisco Networking Academy: Introduction to Networks: https://www.netacad.com/
• Cybrary: Network Troubleshooting Guide: https://www.cybrary.it/practice-lab/network-troubleshooting
• TechExams: Network+ Certification: https://community.infosecinstitute.com/categories/comptia

Learning Outcomes

• Explain fundamental network concepts like network protocols, IP addressing, and network topologies.
• Identify the functions and configurations of common network devices like routers, switches, and firewalls.
• Utilize Wireshark to capture, inspect, and analyze network traffic for troubleshooting purposes.
• Employ systematic troubleshooting methodologies to diagnose and resolve network connectivity issues.
• Identify and address common network performance problems like slow speeds and latency.
• Implement network security best practices to mitigate security vulnerabilities.
• Document network troubleshooting procedures for future reference.

CET363 - Linux/Unix Server Administration

Course Contents

The Linux/Unix Server Administration course equips you with the skills and knowledge to manage and maintain Linux and Unix-based server systems. This powerful operating system forms the backbone of countless web servers, databases, and network infrastructure. Throughout the course, you'll delve into the core functionalities of Linux/Unix, gaining hands-on experience with user and group management, file system administration, security protocols, networking configurations, and essential server administration tasks. By mastering the command line and various server administration tools, you'll be able to efficiently install, configure, and troubleshoot Linux/Unix servers in real-world environments. This comprehensive course prepares you for a successful career in system administration, cloud computing, and IT support, opening doors to exciting opportunities in various industries.

References

• Linux Command Line by William Shotts (3rd Edition)
• The Linux Bible by Christopher Negus (10th Edition)
• LPI Exam Linux Essentials Study Guide by Christine Bresnahan and Richard Blum (2nd Edition)
• Red Hat System Administration by Michael Jang (7th Edition)
• Linux Kernel Development by Robert Love (3rd Edition)
• The Linux Documentation Project https://tldp.org/
• Linux Foundation Training https://training.linuxfoundation.org/
• Red Hat Developer https://developers.redhat.com/
• Udemy Free Linux Courses https://www.udemy.com/course/linux-tutorials/
• Coursera Free Linux Courses https://www.coursera.org/courses?query=linux

Learning Outcomes

• Understand the core architecture and functionalities of Linux/Unix operating systems.
• Navigate the command line effectively for system administration tasks.
• Manage user accounts, groups, and file system permissions.
• Configure essential networking services on Linux/Unix servers.
• Implement security best practices for server hardening.
• Install and manage software packages using package management tools.
• Automate tasks using scripting languages (e.g., Bash scripting).
• Perform routine server maintenance and troubleshooting procedures.
• Gain practical experience through hands-on labs and projects.

CET364 - Cloud Systems Administration

Course Contents

The Cloud Systems Administration course equips you with the knowledge and skills necessary to manage and administer cloud-based infrastructure. Delving into the core concepts and methodologies of cloud computing, you'll gain a comprehensive understanding of cloud models, deployment options, and virtualization technologies. Through hands-on labs and projects, you'll explore the practical aspects of cloud administration, including provisioning and configuring virtual machines, storage, and networking resources. The course also emphasizes security best practices for protecting cloud environments and explores disaster recovery strategies for ensuring business continuity. By the end of this course, you'll be well-positioned to design, implement, and manage robust cloud solutions that meet the evolving needs of modern organizations. This course is designed for IT professionals seeking to expand their skillset into cloud administration. Whether you're a network administrator, system administrator, or simply looking to stay ahead of the curve in the ever-growing cloud computing landscape, this course provides the foundational knowledge and practical experience to excel in this in-demand field.

References

• "Cloud Computing: Concepts, Technology & Architecture" by Thomas Erl et al.
• "CompTIA Cloud+ Certification Study Guide: Exam SK0-004" by CompTIA et al.
• Cloud Academy (https://cloudacademy.com/)
• AWS Cloud Documentation (https://docs.aws.amazon.com/)
• Microsoft Azure Documentation (https://learn.microsoft.com/en-us/azure/)

Learning Outcomes

• Explain cloud computing fundamentals, characteristics, and service models (IaaS, PaaS, SaaS)
• Identify and compare different cloud deployment models (Public, Private, Hybrid)
• Understand virtualization technologies and their role in cloud environments
• Install, configure, and manage virtual machines in a cloud environment
• Implement and manage cloud storage solutions
• Configure and secure cloud networks
• Monitor and manage cloud resources effectively
• Utilize cloud automation tools for efficient administration
• Apply best practices for disaster recovery and business continuity in the cloud
• Prepare for industry certifications like CompTIA Cloud+ (optional)

CET365 - Virtualization Technologies

Course Contents

Virtualization technologies are revolutionizing the way we utilize computing resources. This course delves into the fundamentals of virtualization, exploring its core concepts, architectures, and applications. You'll gain a comprehensive understanding of how virtualization allows us to create multiple virtual machines (VMs) on a single physical server, enhancing efficiency, resource utilization, and manageability. We'll explore various virtualization technologies, including hypervisors, server virtualization, network virtualization, and storage virtualization. You'll learn how these technologies work together to create a virtualized environment that offers several benefits, such as improved resource utilization, increased server uptime, and simplified disaster recovery. Throughout the course, we'll delve into the practical aspects of virtualization, equipping you with the skills to design, deploy, and manage virtualized environments.

References

• "Virtualization: A Manager's Guide" by Paul Barron and Richard Nash
• "Mastering Hyper-V and System Center Virtualization Manager 2019" by Christophe de Wit
• "VMware vSphere: Install, Configure, Manage, and Secure" by John Furrier
• "Linux Containers and Kubernetes: A Practical Guide" by Nader Dabit, Derek Parker, and Tugberk Ozdogan
• "Cloud Computing: Theory and Practice" by Meyers, Murali
• VMware Virtualization Technology Basics https://www.vmware.com/solutions/virtualization.html
• Microsoft Docs - Hyper-V: https://learn.microsoft.com/en-us/virtualization/
• Introduction to Containers: https://docs.docker.com/get-started/
• The Linux Foundation - Kubernetes Fundamentals: https://kubernetes.io/training/
• Red Hat - Introduction to Virtualization: https://www.redhat.com/en/technologies/cloud-computing/openshift/virtualization

Learning Outcomes

• Explain the fundamental concepts and benefits of virtualization technologies.
• Differentiate between various types of virtualization, including server, network, and storage virtualization.
• Identify and compare different hypervisor architectures (Type 1 and Type 2).
• Design and deploy virtual machines using industry-standard tools and platforms.
• Manage and optimize virtualized environments for performance, scalability, and security.
• Analyze the impact of virtualization on cloud computing and its role in modern IT infrastructure.

CET366 - Software Systems Administration II

Course Contents

This advanced course builds upon your existing knowledge of system administration, diving deep into the intricacies of managing complex enterprise software systems. You'll explore the design, configuration, security, and optimization of critical applications like Enterprise Resource Planning (ERP), database systems, source control systems, software development tools, Learning Management Systems (LMS) like Moodle, email servers, and file servers. The course emphasizes real-world scenarios, equipping you with the skills to manage these systems effectively in a large-scale enterprise environment. Through hands-on labs, case studies, and practical exercises, you'll gain the expertise to perform user provisioning, manage access controls, troubleshoot complex issues, implement disaster recovery plans, and ensure the smooth operation of these vital systems. This course prepares you to become a highly sought-after enterprise systems administrator, capable of supporting the technological backbone of a modern organization.

References

• Linux Administration Handbook by Evi Nemeth, Garth Snyder, Trent R. Hein (Latest Edition)
• High Performance MySQL by Baron Schwartz, Peter Zaitsev, Vadim Tkachenko (Latest Edition)
• Git Pocket Guide by Richard Bram (Latest Edition)
• Moodle Administration Handbook by Simon Hunt (Latest Edition)
• Enterprise Email Security by Mark Furnell (Latest Edition)

Learning Outcomes

• Install, configure, and manage advanced enterprise software systems like ERP, database systems, and source control systems.
• Implement and enforce security best practices for user access, data protection, and system hardening.
• Troubleshoot complex system issues, analyze logs, and diagnose root causes.
• Design and implement disaster recovery plans for critical enterprise software systems.
• Manage Learning Management Systems (LMS) like Moodle to support training and development initiatives.
• Optimize performance, scalability, and resource utilization of enterprise software systems.
• Effectively communicate with stakeholders and provide technical support for system administration tasks.

CET371 - Business Informatic I

Course Contents

This course bridges the gap between your technical expertise and the business world. You'll gain a foundational understanding of core business concepts, information systems, and their role in driving organizational success. We'll explore how IT and network infrastructure supports various business functions, from finance and marketing to operations and human resources. The course delves into essential topics like enterprise resource planning (ERP) systems, data management, business process analysis, and project management. Through real-world examples and case studies, you'll gain valuable insights into how IT professionals collaborate with business stakeholders to achieve strategic goals. This knowledge will empower you to participate in cross-functional teams, communicate effectively with business leaders, and make informed decisions that align with both technical and business objectives.

References

• Business Information Systems: Analyzing and Designing Systems by Raymond McLeod (Latest Edition)
• Introduction to Business Analytics by Wayne L. Winston (Latest Edition)
• Fundamentals of Information Systems by Ralph Stair and George Reynolds (Latest Edition)
• Project Management for IT Professionals by Kim Heldman (Latest Edition)
• The Art of IT Project Management by Michael Schwalbe (Latest Edition)

Learning Outcomes

• Explain the fundamental concepts of business operations and information systems.
• Analyze the role of IT in supporting various business functions.
• Understand the principles of data management and information security.
• Apply business process analysis techniques to identify improvement opportunities.
• Effectively communicate technical concepts to non-technical stakeholders.
• Demonstrate an understanding of project management principles in an IT context.
• Evaluate the impact of technology on business strategy and decision-making.

CET392 - CET Internship II

Course Contents

Internship provides an opportunity to practice and/or apply knowledge and skills in professional environments and gain valuable work experience. Through the Internship students get exposure to the industrial environment which cannot be simulated in the classroom. During the internship, students have to understand and sharpen the real-time technical/managerial skills required at the job(s). Further, they have to Understand the social, economic, and administrative considerations that influence the working environment of industrial organizations. Overall professional development of students required problem-solving, communication, human development, and relationship-building skills. Students select the internship field in consultation with an industry mentor and faculty guide in terms of the academic requirements. The student is supposed to produce a joining letter and a successful completion certificate. once the internship is over. Internship evaluation can be based on the quality of projects completed as part of the internship activities. Faculty Member(s) has to evaluate(s) the performance of students once by visiting the Industry/Organization and the Evaluation Report of the students’ needs to submit in the department office with the consent of Industry persons/ mentor. The students will be exposed to the industry environment for a minimum period of 08 weeks duration to understand the operation of the industrial facility.

References

• https://www.youtube.com/watch?v=jpf9J2TUJVg
• https://www.youtube.com/watch?v=KqIshDsg494
• https://www.youtube.com/watch?v=E1UcIHW5rSc
• https://www.youtube.com/watch?v=EhnfOUrFgxM

Learning Outcomes

• CLO 1: Analyze the assigned task and solve it by applying critical thinking and problem-solving skills.
• CLO 2: Collaborate and communicate effectively with different professionals in the work environment.
• CLO 3: Communicate effectively through the technical presentation.
• CLO 4: Design solutions with contextual constraints, acquiring and applying new knowledge.
• CLO 5: Recommend solutions for improved processes and optimal use of resources.
• CLO 6: Evaluate career options by considering opportunities in industry and higher education and sharpen the real-time technical/managerial skills required at the job(s) during the internship.
• CLO 7: Demonstrate ethical and professional behavior in the work environment.

CET3E1 - CS Major Elective I

CET3E2 - DS Major Elective I

CET3E3 - NS Major Elective I

CET3E4 - IT Major Elective I

CET411 - Game Programming

Course Contents

This course delves into the core principles of game programming, both in terms of hardware and software. It introduces fundamental concepts, including creating primitive objects in a virtual environment, constructing intricate mathematical models for 2D and 3D objects, manipulating and combining these models, and projecting them into a two-dimensional image space. The curriculum encompasses essential aspects of game development, such as windowing systems, advanced primitive objects like curves and surfaces, 2-D and viewing transformations, and the structure of display files. Students will explore geometric models, interactive and non-interactive techniques, raster graphics fundamentals, the foundations of 3D graphics, graphics packages and systems, the theory of computer synthesis, components of the image synthesis pipeline, and the principles governing the path of light within virtual game scenes, ultimately leading to the creation of photorealistic game environments.

References

• Game Programming Patterns - Robert Nystrom
• The Art of Game Design: A Book of Lenses, Third Edition - Jesse Schell

Learning Outcomes

• CLO 1: Master the fundamentals of game programming, including the creation of primitive objects, mathematical modeling for 2D and 3D environments, and manipulation of virtual objects.
• CLO 2: Explore advanced game development topics, such as windowing systems, and working with complex primitive objects like curves and surfaces for realistic game scenarios.
• CLO 3: Develop proficiency in 2D and viewing transformations, enabling the creation of dynamic game graphics.
• CLO 4: Understand the structure of display files and learn to work with geometric models to construct immersive game environments.
• CLO 5: Acquire skills in interactive and non-interactive techniques, fundamental principles of raster graphics, and the foundations of 3D graphics in the context of game development.
• CLO 6: Familiarize yourself with graphics packages and systems used in game programming, and gain insights into the theory of computer synthesis and the image synthesis pipeline.
• CLO 7: Explore the principles governing the path of light within virtual game scenes, culminating in the ability to create photorealistic game environments.

Tutorials

• WEEK 1: Introduction to Game Programming Fundamentals.
• WEEK 2: Creating Primitive Objects for Games.
• WEEK 3: Mathematical Modeling for 2D and 3D Environments.
• WEEK 4: Manipulation of Virtual Objects in Games.
• WEEK 5: Advanced Game Development Topics and Windowing Systems.
• WEEK 6: Working with Complex Primitive Objects in Games.
• WEEK 7: Curves and Surfaces for Realistic Game Scenarios.
• WEEK 8: 2D and Viewing Transformations for Dynamic Graphics.
• WEEK 9: Structure of Display Files and Geometric Models in Games.
• WEEK 10: Interactive and Non-Interactive Techniques in Game Graphics.
• WEEK 11: Raster Graphics Principles for Games.
• WEEK 12: Foundations of 3D Graphics in Game Development.
• WEEK 13: Graphics Packages and Systems for Game Programming.
• WEEK 14: Principles of Image Synthesis and Photorealistic Game Environments.
• WEEK 15: Lab Final Exam

CET412 - Selected Topic in Computer Science I

CET413 - Product Management

Course Contents

Product Management is an advanced course that delves into the intricate art and science of developing data-driven, technology-based products. Tailored for students pursuing data science and technology disciplines, this course offers a comprehensive exploration of product management methodologies, emphasizing data-driven decision-making throughout the product lifecycle. Topics span product ideation, market research, customer segmentation, feature prioritization, agile development methodologies, and iterative product refinement. Students will gain hands-on experience in data-driven product design, leveraging analytics, A/B testing, and user feedback to inform product enhancements. This course equips aspiring data science professionals with the skills and strategies needed to excel in product management roles, fostering innovation and excellence in technology-driven product development.

Learning Outcomes

• CLO 1: Develop a deep understanding of product management methodologies, with a focus on data-driven decision-making.
• CLO 2: Master techniques for product ideation, market research, and customer segmentation to inform product development.
• CLO 3: Acquire skills in feature prioritization and agile development methodologies for efficient product delivery.
• CLO 4: Learn the art of iterative product refinement, incorporating user feedback and analytics to drive enhancements.
• CLO 5: Gain hands-on experience in data-driven product design, utilizing A/B testing and analytics to inform strategic product decisions.
• CLO 6: Cultivate the ability to excel in product management roles within data science and technology domains, fostering innovation and product excellence.
• CLO 7: Apply product management principles to real-world scenarios, preparing for success in data-driven technology product development.

Tutorials

• WEEK 1: Introduction to Product Management Methodologies.
• WEEK 2: Data-Driven Decision-Making in Product Management.
• WEEK 3: Techniques for Product Ideation.
• WEEK 4: Market Research and Customer Segmentation.
• WEEK 5: Feature Prioritization Strategies.
• WEEK 6: Agile Development Methodologies in Product Delivery.
• WEEK 7: Iterative Product Refinement and User Feedback.
• WEEK 8: Incorporating Analytics for Product Enhancement.
• WEEK 9: Hands-On Experience in Data-Driven Product Design.
• WEEK 10: A/B Testing for Informed Product Decisions.
• WEEK 11: Preparing for Product Management Roles.
• WEEK 12: Fostering Innovation in Technology Product Management.
• WEEK 13: Application of Product Management Principles.
• WEEK 14: Real-World Scenarios in Data-Driven Technology Product Development.
• WEEK 15: Lab Final Exam

CET414 - Parallel Programming

Course Contents

This advanced graduate-level course delves deeply into the realm of parallel and distributed computing, leveraging a variety of programming models. Topics covered encompass a broad spectrum, including parallel computation models, message passing, shared memory paradigms, data parallel programming, performance modeling, memory system optimization techniques, fine-grained computation models, and High-Level Design Tools for programming parallel platforms. The course will also explore communication primitives, stream programming models, and emerging heterogeneous computing and programming paradigms. Students will gain hands-on experience with cutting-edge parallel computing platforms and tools, spanning from large-scale clusters to edge devices and data center-scale platforms. A pivotal course project will empower students to explore diverse computing platforms, design highly efficient parallel algorithms, assess their performance, and acquire expertise in performance tuning methodologies.

References

• Parallel Programming: Concepts and Practice -
• Bertil Schmidt, Jorge Gonzalez-Martinez, Christian Hundt, Moritz Schlarb
• Introduction to Parallel Computing: From Algorithms to Programming on State-of-the-Art Platforms - Roman Trobec, Boštjan Slivnik, Patricio Bulić, Borut Robič

Learning Outcomes

• CLO 1: Master diverse parallel computation models and programming paradigms.
• CLO 2: Acquire proficiency in message passing and shared memory techniques for distributed computing.
• CLO 3: Develop data parallel programming skills and techniques.
• CLO 4: Explore performance modeling and optimization methodologies for parallel systems.
• CLO 5: Apply memory system optimization techniques to enhance parallel program efficiency.
• CLO 6: Grasp the intricacies of fine-grained computation models and High-Level Design Tools for parallel platforms.
• CLO 7: Understand communication primitives and emerging heterogeneous computing paradigms.
• CLO 8: Gain hands-on experience with advanced parallel computing platforms and tools, including large-scale clusters, edge devices, and data center-scale systems.
• CLO 9: Execute a course project to design efficient parallel algorithms, assess their performance, and hone performance tuning skills across diverse computing platforms.

Tutorials

• WEEK 1: Introduction to Parallel Computation Models and Programming Paradigms.
• WEEK 2: Message Passing and Shared Memory Techniques for Distributed Computing.
• WEEK 3: Developing Data Parallel Programming Skills.
• WEEK 4: Performance Modeling Methodologies for Parallel Systems.
• WEEK 5: Memory System Optimization for Enhanced Parallel Program Efficiency.
• WEEK 6: Fine-Grained Computation Models and High-Level Design Tools for Parallel Platforms.
• WEEK 7: Communication Primitives in Parallel Computing.
• WEEK 8: Exploring Emerging Heterogeneous Computing Paradigms.
• WEEK 9: Hands-On Experience with Advanced Parallel Computing Platforms and Tools.
• WEEK 10: Practical Applications on Large-Scale Clusters.
• WEEK 11: Edge Devices in Parallel Computing.
• WEEK 12: Data Center-Scale Systems in Parallel Computing.
• WEEK 13: Course Project: Designing Efficient Parallel Algorithms.
• WEEK 14: Performance Assessment and Tuning Across Diverse Computing Platforms.
• WEEK 15: Lab Final Exam.

CET415 - Digital Marketing Technologies

Course Contents

In the ever-evolving marketing landscape, it has become imperative for a business to integrate digital marketing efforts into its overall marketing strategy. This course provides a broad overview of the digital marketing techniques needed for successful marketing campaigns in a digital economy. Students in this course explore the development, production, and implementation of digital-marketing delivery methods, including email marketing, web-based marketing, search engine optimization (SEO), online advertising, Google Analytics, and social media. This course also helps the student to understand how to create an account, implement tracking code, and set up data filters. The student learning includes navigating the Google Analytics interface and reports and setting up dashboards and shortcuts. The course also demonstrates how to analyze basic Audience, Acquisition, and Behavior reports, set up goals, and track campaigns. Google Analytics helps track and report website traffic. The topics include understanding how visitors interact with their website, website owners and making informed decisions about improving their websites and marketing campaigns. The curriculum introduces tools to appropriately measure and evaluate the effectiveness of digital marketing campaigns designed to improve the consumer's experience. Students gain a fundamental understanding of the digital marketing core principles needed for the 21st-century consumer. Lectures, assignments, projects, and case studies based on digital marketing are used to deliver the course.

References

• Deiss, R., & Henneberry, R. (2020). Digital marketing for dummies. John Wiley & Sons.
• Chaffey, D., & Ellis-Chadwick, F. (2019). Digital marketing: strategy, implementation & practice. Pearson UK.
• Fundamentals of digital marketing, Google Digital Garage, https://learndigital.withgoogle.com/digitalgarage/course/digital-marketing , Accessed on 14.10.2022
• Swayam, Basics of Digital Marketing, https://onlinecourses.swayam2.ac.in/cec19_mg23/preview, Accessed on 14.10.2022
• SkillUP, Tools - Google Analytics, https://www.simplilearn.com/free-google-analytics-training-course-for-beginners-skillup, Accessed on 14.11.2022

Learning Outcomes

• CLO 1: Analyze the use of digital marketing and principles of computing to grow business.
• CLO 2: Select appropriate tools and key elements for the implementation of Email marketing.
• CLO 3: Demonstrate the ability to accomplish group tasks related to digital marketing.
• CLO 4: Design the effective digital marketing campaign that can be measured in given requirement.
• CLO 5: Examine the strategies in team related to digital marketing for enhancing customer experience.
• CLO 6: Apply Digital Marketing concepts and write programs in the labs to solve problems.
• CLO 7: Write the lab report and present the output result as lab record.

Tutorials

• WEEK 1: Lab Induction and installing and understanding digital marketing tools.
• WEEK 2: Understanding and Implementing google analytics.
• WEEK 3: Develop Digital marketing strategy development with google analytics.
• WEEK 4: Google analytics for selecting the right marketing campaign.
• WEEK 5: Implementing Best practices on content marketing.
• WEEK 6: Creating and writing a blog for business strategy.
• WEEK 7: Creating High-Converting Landing Pages.
• WEEK 8: Use of Google Analytics to analyze the traffic.
• WEEK 9: Implementing google analytics to leveraging the Social Web.
• WEEK 10: Implementing email marketing best practices in various domains.
• WEEK 11: Analyze data from google analytics for running a Data-Driven Business.
• WEEK 12: Investigate tools (Comparing the result between two popular tools) for digital marketing.
• WEEK 13: Use google analytics for enhancing digital customer experience.
• WEEK 14: Use google analytics for Campaign planning for digital media.
• WEEK 15: Lab Final Exam.

CET416 - DevOps

Course Contents

This course offers a comprehensive exploration of the vital aspects related to the operation and management of software systems. Students will delve into the intricacies of software deployment, maintenance, and optimization throughout the software lifecycle. Topics include software configuration management, version control, release planning, and the establishment of efficient operational processes. Additionally, students will gain insights into software monitoring, performance tuning, and troubleshooting techniques to ensure robust system operation. The course also covers essential principles of software project management, encompassing project planning, scheduling, resource allocation, and risk management. By the end of the course, participants will be equipped with the knowledge and skills required to effectively operate, maintain, and manage software systems within the context of modern technology and industry best practices.

References

• The Operation and Management of a Software Company: An Entrepreneurial Guide to Creating and Maintaining a Software Development Company - Larry G. Miner

Learning Outcomes

• CLO 1: Develop a deep understanding of software deployment, maintenance, and optimization throughout the software lifecycle.
• CLO 2: Master software configuration management and version control techniques for efficient software operation.
• CLO 3: Acquire proficiency in release planning and establishing streamlined operational processes.
• CLO 4: Gain expertise in software monitoring, performance tuning, and troubleshooting for robust system operation.
• CLO 5: Explore fundamental principles of software project management, including project planning, scheduling, resource allocation, and risk management.
• CLO 6: Apply acquired knowledge and skills to effectively operate, maintain, and manage software systems in alignment with contemporary technology and industry best practices.

Tutorials

• WEEK 1: Introduction to Software Lifecycle and Deployment.
• WEEK 2: Software Configuration Management Techniques.
• WEEK 3: Efficient Version Control Practices.
• WEEK 4: Release Planning and Streamlined Operational Processes.
• WEEK 5: Proficiency in Software Monitoring.
• WEEK 6: Performance Tuning for Robust System Operation.
• WEEK 7: Troubleshooting Strategies in Software Maintenance.
• WEEK 8: Fundamentals of Software Project Management.
• WEEK 9: Project Planning and Scheduling.
• WEEK 10: Resource Allocation in Software Projects.
• WEEK 11: Risk Management in Software Projects.
• WEEK 12: Effective Software Operation and Maintenance.
• WEEK 13: Contemporary Technology and Industry Best Practices.
• WEEK 14: Comprehensive Assessment and Application of Knowledge in Software System Operation and Management.
• WEEK 15: Lab Final Exam.

CET417 - Advanced Software Engineering

Course Contents

This advanced-level course delves into the intricacies of software engineering, focusing on advanced techniques essential for modeling and analyzing complex software systems. Students will extensively utilize the Unified Modeling Language (UML) and design patterns to model and analyze medium-sized software systems. Topics encompass the Object Constraint Language (OCL), pattern specifications, Model-Driven Software Development (MDSD), and Aspect-Oriented Software Development (AOSD). Throughout the course, participants will gain proficiency in advanced software engineering methodologies, equipping them with the skills required to handle intricate software projects within the realm of computer science and technology.

References

• Software Engineering at Google: Lessons Learned from Programming Over Time - Titus Winters, Tom Manshreck, Hyrum Wright
• Software Engineering: A Practitioner's Approach - Roger S. Pressman

Learning Outcomes

• CLO 1: Master advanced software engineering techniques for modeling and analyzing complex software systems.
• CLO 2: Proficiently utilize the Unified Modeling Language (UML) and design patterns for modeling and analyzing medium-sized software systems.
• CLO 3: Acquire expertise in the Object Constraint Language (OCL) and pattern specifications for precise system modeling.
• CLO 4: Explore Model-Driven Software Development (MDSD) and Aspect-Oriented Software Development (AOSD) methodologies.
• CLO 5: Apply advanced software engineering methodologies to handle intricate software projects in the realm of computer science and technology.

Tutorials

• WEEK 1: Introduction to Advanced Software Engineering Techniques.
• WEEK 2: Utilizing UML for Modeling and Analysis.
• WEEK 3: Design Patterns in Software Modeling.
• WEEK 4: Proficiency in the Object Constraint Language (OCL).
• WEEK 5: Precise System Modeling with Pattern Specifications.
• WEEK 6: Model-Driven Software Development (MDSD) Methodologies.
• WEEK 7: Aspect-Oriented Software Development (AOSD) Principles.
• WEEK 8: Integrating MDSD and AOSD in Software Engineering.
• WEEK 9: Software Engineering for Medium-Sized Systems.
• WEEK10: Complex Software Project Management.
• WEEK11: Applying Advanced Methodologies in Computer Science.
• WEEK12: Handling Intricate Software Projects.
• WEEK13: Course Project: Advanced Software System Modeling.
• WEEK14: Comprehensive Assessment and Recap of Advanced Software Engineering Techniques.
• WEEK 15: Lab Final Exam

CET418 - Selected Topic in Computer Science II

CET431 - Software Security

Course Contents

This course delves deeply into the core tenets of software security, emphasizing secure coding methodologies, robust practices, and the identification and mitigation of prevalent software vulnerabilities. Topics include an in-depth exploration of memory exploits, particularly shell code execution, comprehensive vulnerability analysis techniques such as reverse engineering, fuzzing, and symbolic execution, as well as the implementation of robust defenses to thwart common vulnerability exploitation attempts. Students will gain a profound understanding of safeguarding software systems against potential threats within the context of computer science and engineering.

Learning Outcomes

• CLO 1: Master secure coding practices.
• CLO 2: Identify prevalent vulnerabilities.
• CLO 3: Analyze memory exploits.
• CLO 4: Explore reverse engineering techniques.
• CLO 5: Implement robust defenses.
• CLO 6: Utilize fuzzing for vulnerability testing.
• CLO 7: Gain a deep understanding of software security in a computer science context.

Tutorials

• WEEK 1: Introduction to Software Security.
• WEEK 2: Secure Coding Practices.
• WEEK 3: Identifying Prevalent Vulnerabilities.
• WEEK 4: Analyzing Memory Exploits.
• WEEK 5: Exploring Reverse Engineering Techniques.
• WEEK 6: Implementing Robust Defenses.
• WEEK 7: Utilizing Fuzzing for Vulnerability Testing.
• WEEK 8: Software Security in a Computer Science Context.
• WEEK 9: Secure Coding Practices Review.
• WEEK 10: Advanced Vulnerability Identification.
• WEEK 11: Memory Exploits Analysis Deep Dive.
• WEEK 12: Reverse Engineering Techniques in Practice.
• WEEK 13: Defensive Strategies and Best Practices.
• WEEK 14: Comprehensive Software Security Assessment.
• WEEK 15: Lab Final Exam.

CET432 - Database Security

Course Contents

This course offers a robust grounding in the realm of database security and auditing, with a particular emphasis on real-world application through Oracle scenarios and detailed, hands-on examples. The curriculum encompasses a comprehensive array of topics, including database security fundamentals, user profiles, password policies, privileges and role management, Virtual Private Databases (VPDs), and comprehensive auditing practices. Additionally, the course delves into advanced subjects like SQL injection prevention, safeguarding the Database Management System (DBMS), the enforcement of stringent access controls, and other intricacies surrounding database security management within the context of computer science and technology.

References

• Database Security: Problems and Solutions -
• Christopher Diaz
• Database Security - Alfred Basta, Melissa Zgola

Learning Outcomes

• CLO 1: Understand database security fundamentals and best practices.
• CLO 2: Manage user access through profiles, policies, privileges, and roles.
• CLO 3: Implement Virtual Private Databases (VPDs) for data access control.
• CLO 4: Proficiently employ auditing techniques to monitor database activities.
• CLO 5: Master advanced topics like SQL injection prevention and access control enforcement.
• CLO 6: Apply concepts in practical Oracle scenarios.
• CLO 7: Deepen knowledge of database security in the context of computer science and technology.

Tutorials

• WEEK 1: Introduction to Database Security Fundamentals and Best Practices.
• WEEK 2: Managing User Access through Profiles, Policies, Privileges, and Roles.
• WEEK 3: Implementing Virtual Private Databases (VPDs) for Data Access Control.
• WEEK 4: Proficient Use of Auditing Techniques for Monitoring Database Activities.
• WEEK 5: Mastering Advanced Topics: SQL Injection Prevention and Access Control Enforcement.
• WEEK 6: Applying Database Security Concepts in Oracle Scenarios.
• WEEK 7: Database Security in the Context of Computer Science and Technology.
• WEEK 8: Review and Consolidation of Fundamentals.
• WEEK 9: Advanced User Access Management Strategies.
• WEEK 10: VPDs in Complex Data Access Scenarios.
• WEEK 11: Auditing Best Practices and Case Studies.
• WEEK 12: Hands-on Lab: SQL Injection Prevention Techniques.
• WEEK 13: Real-World Oracle Security Implementation.
• WEEK 14: Comprehensive Database Security Assessment and Recap.
• WEEK 15: Lab Final Exam

CET433 - Selected Topic in Network and Security I

CET434 - Cloud and IoT Security

Course Contents

This course introduces the security and privacy issues in cloud computing and the Internet of Things. The course covers advanced cryptography (Identity-based Encryption, Attribute-based Encryption, Searchable Encryption, and Order-preservation Encryption) and its applications in solving security and privacy issues in cloud computing and Internet of Things. Cloud computing infrastructure has become a mainstay of the IT industry, opening the possibility for on-demand, highly elastic and infinite compute power with scalability and supporting the delivery of mission-critical secure enterprise applications and services. This course provides the ground-up coverage on the high-level concepts of cloud landscape, architectural principles, techniques, design patterns and real-world best practices applied to Cloud service providers and consumers and delivering secure Cloud-based services. The course describes the Cloud security architecture, explores the guiding security design principles, design patterns, industry standards, and applied technologies, and address regulatory compliance requirements critical to the design, implementation, delivery, and management of secure cloud-based services. The course delves deep into the secure cloud architectural aspects with regards to identifying and mitigating risks, protection and isolation of physical and logical infrastructures including compute, network and storage, comprehensive data protection at all OSI layers, end-to-end identity management and access control, monitoring and auditing processes and meeting compliance with industry and regulatory mandates.

References

• Erl, T., Cope, R., & Naserpour, A. (2015). Cloud computing design patterns. Prentice Hall Press.
• Dotson, C. (2019). Practical cloud security: a guide for secure design and deployment. O'Reilly Media.
• Class Central, "Cloud Computing Security", https://www.classcentral.com/course/cloud-computing-security-11754, Accessed on 15.10.2022
• edX, "Cloud Computing Security", https://www.edx.org/course/cloud-computing-security, Accessed on 15.10.2022
• Coursera, Cloud Computing Security, https://www.coursera.org/learn/cloud-computing-security, Accessed on 15.11.2022

Learning Outcomes

• CLO 1: Simulate the definition and significance of the Internet of Things.
• CLO 2: Analyze the architecture, operation, and business benefits of an IoT solution.
• CLO 3: Review constraints and opportunities of Cloud and Fog Computing for Internet of Things.
• CLO 4: Select the right sensors and communication protocols to use in IoT environment.
• CLO 5: Apply IoT concepts and write programs in the labs to solve problems.
• CLO 6: Write the lab report and present the output result as lab record.
• CLO 7: Demonstrate the basic configuration related to IOT sensors to accomplish group tasks.

Tutorials

• WEEK 1: Lab Induction, Fundamentals of Cloud Computing (Cloud deployment models), Risks and Security Concerns.
• WEEK 2: Security Design and Architecture for Cloud Computing, Implementing CSA, NIST and ENISA guidelines for Cloud Security
• WEEK 3: Secure Isolation of Physical & Logical Infrastructure (Common attack vectors and threats)
• WEEK 4: Data Protection for Cloud Infrastructure and Services (Encryption, Data Redaction, Tokenization, Obfuscation, PKI, and Key Management, Assuring data deletion)
• WEEK 5: Enforcing Access Control for Cloud Infrastructure based Services (Enforcing Access Control Strategies)
• WEEK 6: Monitoring, Auditing and Management (Monitoring for unauthorized access, malicious traffic, abuse of system privileges, intrusion detection, events and alerts and Secure Management)
• WEEK 7: Implementing Cloud Design Patterns (Architectural patterns for Cloud Computing)
• Week 8: Introduction to Identity Management in Cloud Computing (User Identification, Authentication, and Authorization in Cloud Infrastructure)
• WEEK 9: Cloud Computing Security Design Patterns (Geo-tagging, Cloud VM Platform Encryption, Trusted Cloud Resource Pools, Secure Cloud)
• WEEK 10: Cloud Computing Security Design Patterns (Security Patterns for Cloud Computing – Network Security, Identity & Access Management & Trust)
• WEEK 11: Policy, Compliance & Risk Management in Cloud Computing (Implementing CSA Security, Trust, and Assurance Registry (STAR))
• WEEK 12: Cloud Compliance Assessment & Reporting- Technical Case study / Activity.
• WEEK 13: Cloud Service Providers – Technology Review (Local and international)
• WEEK 14: Understanding Cloud Service Providers –(OpenStack Platform, Docker)
• WEEK 15: Lab Final Exam.

CET435 - Network and Mobile Security

Course Contents

Mobile and wireless networks have become the essential part of life for individuals and organizations. Mobile and wireless security has become the important aspects in current digital world to protect the data. This course covers the wireless communication architecture, wireless and mobile as a cyber-physical infrastructure (CPS), attacks based on gsm networks, attacks based on lack of wi-fi security, attacks based on Bluetooth, attacks based on operating system, mobile networks, security standards in current wireless & mobile systems: Wi-Fi Security (WEP, WPA, WPA-Enterprise) security standards. The topics include LTE, Bluetooth security, security of device, network, and server levels: mobile devices security requirements, application-level security in cellular networks, security of mobile computing platforms, android and iOS security models, threats and emerging solutions, security threats to mobile devices, unauthorized device, and data access. The student learning includes malware, spam, electronic eavesdropping, electronic location tracking, application-level security in MANETs, wireless networks and protocols, security vulnerabilities, attacks, mitigation technique, wireless security, authentication check on IEEE 802.11 and management of WLAN security, data center operations and security challenge, data center security recommendations encryption for confidentiality and integrity. The laboratory work consists of experiments illustrating the principles, laws and concepts discussed in the course.

References

• D. Coleman, D. Westcott, and B. Harkins, CWSP: Certified Wireless Security Professional Study Guide CWSP - 205, 2nd ed. Sybex, 2016
• Qian, Y., Ye, F., & Chen, H. H. (2021). Security in Wireless Communication Networks. John Wiley & Sons.
• W. Osterhage, Wireless Network Security, CRC Press, 2nd edition, 2018, ISBN-10: 1138093793, ISBN-13: 978-1138093799
• Tamma, R., Skulkin, O., Mahalik, H., & Bommisetty, S. (2020). Practical Mobile Forensics: Forensically investigate and analyze iOS, Android, and Windows 10 devices. Packt Publishing Ltd.
• https://www.youtube.com/watch?v=kYcFXYVZiBQ
• https://www.specnt.com/blog/security/2021/october/mobile-and-wireless-security-explained/
• https://www.techtarget.com/searchsecurity/WLAN-security-Best-practices-for-wireless-network-security
• https://securityboulevard.com/2022/02/wi-fi-hacking-how-to-secure-a-wireless-network/

Learning Outcomes

• CLO 1: Analyze distributed denial-of-service attacks and identify mitigation techniques.
• CLO 2: Discuss the wireless communication protocols used for a network.
• CLO 3: Evaluate and recommend the security techniques applied to mobile and wireless environments
• CLO 4: Review the needs of law-enforcement for individual right-to-privacy in wireless infrastructures.
• CLO 5: Design and implement secure wireless networks for a given organizational environment.
• CLO 6: Apply the security techniques, perform experiments, interpret data, and draw results and conclusions.
• CLO 7: Write lab reports and present results.

Tutorials

• WEEK 1: Lab Induction, devices, simulator, Course Policies, reports
• WEEK 2: Download and install Android Studio and start new project.
• WEEK 3: Part 1: Exfiltrating Information, create a simple web application that can store information sent to it.
• WEEK 4: TASK 1: Modify the Simple Location application to secretly access location information at a time not expected by the user, and exfiltrate that information to your server. TASK2: Modify this application to secretly access the device’s location at unexpected times (i.e., when the user has not pressed the “Find Location” button), and exfiltrate that location to your web application
• WEEK 5: Part 2: Permission Redelegation, create a version of your Simple Location application that performs the same attack as in Part 1 (exfiltrates information) but does so without the INTERNET permission.
• WEEK 6: Identify the permission redelegation vulnerability in Simple Game. In a text file, identify the location(s) of the vulnerability, and briefly describe how another application can exploit it.
• WEEK 7: Extract the encryption key from an Android application (without access to source code).
• WEEK 8: Study of wireless networks and Securing a Wireless Network from Wardriving
• WEEK 9: Securing a Wireless Network from Wardriving
• WEEK 10: Applying and Breaking Wireless Encryption
• WEEK 11: Applying and Breaking Wireless Encryption.
• WEEK 12: Conducting a Wi-Fi Site Survey
• WEEK 13: Conducting a Wi-Fi Site Survey
• WEEK 14: Open Ended question
• WEEK 15: Lab Final Exam

CET436 - Information Security Management

Course Contents

Information security management is about protecting an organization’s most valuable asset: its data. With the increasing number of cyber-attacks, it is essential to have a system in place that can protect data. Information security management is a comprehensive solution that provides the tools needed to keep data safe. With information security management, one can rest assured that data is protected from the latest threats. This course provides a managerial approach to information security and a thorough treatment of the secure administration of information assets. This course also covers integrated threat management , introduction to information security management system management and leadership, principles of information security management, compliance: law and ethics , security management models, strategic planning for security, information security governance. The topics include information security policy, regulatory compliance, and developing the security programs, components of the security program, implementing security education, training, and awareness (SETA) programs, project management in information security, risk management, the risk management process and introduction to risk treatment. Student is exposed to recent case studies related to information security management to give the insights of security management and its use. The laboratory work consists of experiments and practice using the information security tools to analyze and prepare the security plans.

References

• Michael E. Whitman Herbert J. Mofford. (2018). MANAGEMENT OF INFORMATION SECURITY, 6th Edition. Cengage Learning, Inc
• https://www.smartsheet.com/content/information-security-management
• https://engineering.futureuniversity.com/BOOKS%20FOR%20IT/Book%20Information%20Security%20Mangement%206th%20ed.pdf
• https://www.juniper.net/us/en/research-topics/what-is-network-security-management.html
• https://www.imperva.com/learn/data-security/information-security-infosec/

Learning Outcomes

• CLO 1: Develop the security policies and ethics to reduce the information security risk for organization.
• CLO 2: Evaluate the information security risk of organization and present the credible arguments to respond for the identified security risks.
• CLO 3: Select appropriate security management model for organization.
• CLO 4: Develop a security program for placing information security within an organization, which covers the legal and ethical aspects, working in teams.
• CLO 5: Recommend the various laws, ethics for compliance of security and threats in organization.
• CLO 6: Select the appropriate method and tools to ensure the information security for given task in the lab.
• CLO 7: Write lab reports and present results.

Tutorials

• WEEK 1: Lab Induction, course policies and format of lab reports.
• WEEK 2: Introduction to security tools.
• WEEK 3: Learn how to use Linux, used by various servers and security tools.
• WEEK 4: Analyze the core security issues with web applications and learn how to use them using security tools and techniques.
• WEEK 5: Analyze the core security issues with web applications and learn how to use them using security tools and techniques.
• WEEK 6: Understand, enumerate, and attack networking services in real-time environments using simulation/security tools.
• WEEK 7: Understand, enumerate, and attack networking services in real-time environments using simulation/security tools.
• WEEK 8: Understand, enumerate, and attack networking services in real-time environments using simulation/security tools.
• WEEK 9: Strengthen your skills by exploiting a range of different applications and services, from networking to web to privilege escalation.
• WEEK 10: Learn the techniques to analyze and defend against real-world cyber-attacks.
• WEEK 11: Learn the techniques to analyze and defend against real-world cyber-attacks.
• WEEK 12: Learn the techniques to analyze and defend against real-world cyber-attacks.
• WEEK 13: Develop the security program to implement for different scenario.
• WEEK 14: Develop the security program to implement for different scenario.
• WEEK 15: Lab Final Exam

CET437 - Adanced Cryptographic Algorithms & Protocols

Course Contents

The "Advanced Cryptographic" course delves deep into the intricate world of cryptographic algorithms, protocols, and applications. Building upon the foundations of cryptography, this course equips students with the knowledge and skills to understand, develop, and apply advanced cryptographic techniques in real-world scenarios. Topics covered include modern encryption algorithms, cryptographic protocols for secure communication, cryptographic applications in data security, digital signatures, and cryptographic key management. Students will explore the theoretical underpinnings of cryptography while gaining practical experience in implementing secure cryptographic systems.

References

• Communication security: an introduction to cryptography. Serge Vaudenay. Springer 2004.
• A computational introduction to number theory and algebra. Victor Shoup. Cambridge University Press 2005.
• Algorithmic cryptanalysis. Antoine Joux. CRC 2009.
• [GMR85] Goldwasser, S., S. Micali, and C. Rackoff. “On the Knowledge Complexity of Interactive Proof Systems.” In Proceedings of the 17th ACM Symposium on the Theory of Computing STOC. Providence, Rhode Island, U.S.A.: ACM Press, 1985, pp. 291-304.

Learning Outcomes

• CLO 1: Explore advanced encryption algorithms, including symmetric and asymmetric ciphers, and understand their mathematical principles.
• CLO 2: Analyze cryptographic protocols for secure communication, such as SSL/TLS, SSH, and IPsec, and implement them in practical scenarios.
• CLO 3: Investigate cryptographic applications in data security, including secure file storage, database encryption, and data-at-rest protection.
• CLO 4: Master digital signatures and their applications in ensuring data authenticity and non-repudiation.
• CLO 5: Understand cryptographic key management, including key generation, distribution, and storage, and design secure key management systems.
• CLO 6: Explore post-quantum cryptography and the implications of quantum computing on cryptographic security.
• CLO 7: Evaluate the role of cryptography in blockchain technology, cryptocurrency, and secure decentralized systems.
• CLO 8: Analyze real-world cryptographic vulnerabilities and attacks and learn how to defend against them.
• CLO 9: Investigate emerging trends and challenges in the field of advanced cryptography, including homomorphic encryption, zero-knowledge proofs, and secure multiparty computation.
• CLO 10: Apply cryptographic principles and techniques to practical projects, developing the skills necessary to design and implement secure cryptographic systems for various applications and industries.

Tutorials

• Week 1: Introduction to Encryption Algorithms: Symmetric and Asymmetric Ciphers.
• Week 2: Mathematical Principles Behind Encryption.
• Week 3: Cryptographic Protocols for Secure Communication.
• Week 4: SSL/TLS, SSH, and IPsec in Practical Scenarios.
• Week 5: Cryptographic Applications in Data Security.
• Week 6: Secure File Storage and Database Encryption.
• Week 7: Data-at-Rest Protection Techniques.
• Week 8: Digital Signatures for Data Authenticity and Non-Repudiation.
• Week 9: Cryptographic Key Management Principles.
• Week 10: Key Generation, Distribution, and Secure Storage.
• Week 11: Post-Quantum Cryptography and Quantum Computing Implications.
• Week 12: Cryptography in Blockchain Technology and Cryptocurrency.
• Week 13: Secure Decentralized Systems and Cryptographic Vulnerabilities.
• Week 14: Emerging Trends and Challenges in Advanced Cryptography.
• Week 15: Lab Final Exam

CET438 - Hardware Security Applications

Course Contents

Hardware Security Applications is a comprehensive exploration of the multifaceted domain of hardware security, encompassing essential topics such as tokenizers, Hardware Security Modules (HSMs), access control mechanisms, RFID applications, and more. This course offers an in-depth examination of both the theoretical foundations and practical implementations of hardware-based security solutions. Students will delve into the intricacies of securing computing systems through hardware, learning to design, evaluate, and employ cutting-edge technologies to protect sensitive data, enhance access control, and address emerging security challenges.

Learning Outcomes

• CLO 1: Gain a profound understanding of tokenizers, Hardware Security Modules (HSMs), and their role in safeguarding cryptographic keys and sensitive data.
• CLO 2:Explore advanced access control mechanisms and techniques for enforcing security policies at the hardware level.
• CLO 3:Investigate RFID applications and their security implications, including RFID authentication and privacy concerns.
• CLO 4:Analyze real-world case studies to assess the security posture of hardware-based solutions and propose improvements.
• CLO 5:Develop expertise in integrating hardware security components into diverse computing systems.
• CLO 6:Keep pace with emerging trends in hardware security, including IoT security, secure boot processes, and hardware-based threat detection methods.

Tutorials

• Week 1: Introduction to Tokenizers and Their Significance in Security.
• Week 2: Hardware Security Modules (HSMs) and Their Role in Key Protection.
• Week 3: Advanced Access Control Mechanisms for Hardware Security.
• Week 4: Techniques for Enforcing Security Policies at the Hardware Level.
• Week 5: RFID Applications and Security Implications.
• Week 6: RFID Authentication and Privacy Concerns.
• Week 7: Real-World Case Studies in Hardware-Based Security.
• Week 8: Assessing Security Posture and Proposing Improvements.
• Week 9: Integrating Hardware Security Components into Computing Systems.
• Week 10: Exploring IoT Security in Hardware.
• Week 11: Secure Boot Processes and Their Role in Security.
• Week 12: Hardware-Based Threat Detection Methods.
• Week 13: Staying Current with Emerging Hardware Security Trends.
• Week 14: Adapting to Evolving Challenges in Hardware Security.
• Week 15: Lab Final Exam

CET439 - Selected Topic in Network and Security II

CET441 - Business & Social Analytics

Course Contents

Data analytics is used for monitoring and extracting trends and insights from social media data. With business and social analytics, companies and organizations can track their brand mentions, post reach, engagement, and more. They can also use social listening tools to monitor their brand sentiment and see how people are talking about their business on social media. Business and social analytics can help them make sure that they are connecting with the right target audience on social media and that their campaigns are effective. This course covers principles of business and Social Analytics. It covers how to increase revenue by designing effective social media strategies—measuring performance and social media ROI—improving productivity with social media audits and reports—building the right data sets and actionable plans. It explores Data Analytics with Facebook Pixel, using and exploring Google Analytics and YouTube marketing: layout, content creation, and video ads. It discusses optimizing LinkedIn profiles and using LinkedIn ads. It presents how to use Web 2.0 blogs to augment the reach with SEO and content marketing. It explores automating social media marketing posting via IFTTT and creation of Pinterest-promoted pins, use Google Business to benefit local businesses, and help Search Engine Optimization. It discusses building a sentiment analysis system based on Twitter Data. The student learning also includes best practices for social media analytics. Lectures that focus on Business and Social Analytics fundamentals, Lab sessions, projects, and assignments are used to deliver the course.

References

• McDonald, J. (2016). Social media marketing workbook: how to use social media for business. JM Internet Group.
• Rich, J. R. (2018). Ultimate Guide to YouTube for Business. Entrepreneur Press.
• Sponder, M. (2011). Social media analytics: Effective tools for building, interpreting, and using metrics. McGraw Hill Professional.
• Cawley, C. (2013). The ultimate IFTTT guide: Use the web's most powerful tool like A pro. MakeUseOf.
• https://ifttt.com/developers
• https://www.facebook.com/business/help/952192354843755?id=1205376682832142
• https://analytics.google.com/analytics/academy/course/6
• https://www.javatpoint.com/seo-tutorial

Learning Outcomes

• CLO 1: Explain and apply Business and Social Analytics processes.
• CLO 2: Solve problems related to Business and Social Analytics.
• CLO 3: Design & implement efficient social media strategies.
• CLO 4: Design data analytics processes using Facebook Pixel, Google Analytics, YouTube Marketing, Pinterest-promoted pins, LinkedIn ads and Blogs.
• CLO 5: Create automated processes for social media posting.
• CLO 6: Build a sentiment analysis model based on social media data.
• CLO 7: Write lab reports and present results.

Tutorials

• WEEK 1: Increasing revenue by designing effective social media strategies.
• WEEK 2: Measuring performance and social media ROI.
• WEEK 3: Improving productivity with social media audits and reports.
• WEEK 4: Build the right set of data and actionable plans.
• WEEK 5: Data Analytics with Facebook Pixel.
• WEEK 6: Use and explore Google Analytics.
• WEEK 7: YouTube marketing: layout, content creation, and video ads.
• WEEK 8: Optimize LinkedIn profile and use LinkedIn ads.
• WEEK 9: Use Web 2.0 blogs to augment the reach with SEO and content marketing.
• WEEK 10: Automate Social media marketing posting via IFTTT.
• WEEK 11: Create Pinterest-promoted pins
• WEEK 12: Use Google Business to benefit local businesses and help your Search Engine Optimization.
• WEEK 13: Build a sentiment analysis system based on Twitter Data.
• WEEK 14: Best practices for social media analytics.
• WEEK 15: Lab Final Exam

CET442 - Selected Topic in Data Science I

CET443 - Block Chain & Data Science

Course Contents

Blockchain technologies are used for trust management to accelerate the development/application of Artificial Intelligence, cyber-physical systems, social networking, and crowdsourcing. After cryptocurrency, this technology has captured markets for best security in application systems like education, finance, health, and other businesses. Students learn blockchain technologies and their security applications with different organizations, channels, peers, and smart contracts. Students learn the development of Blockchain, operating principles of Blockchain and their applications. While understanding the development of the technology students know the definition, evolution, historical development, milestones in the development and concepts and components including nodes, cryptographic techniques, and certificate authority in Blockchain along with their limitations of traditional transaction systems and market prices. Students further learn what decentralized systems are, permissioned and permissionless blockchains, characteristics of the network, architecture of a block, cryptography as a security provider for Blockchain. Students should know the roles in a Blockchain system including regulator and certificate authority, concepts of queuing, executing, and validating blocks and role of peer nodes added and the Blockchain governance model. Students understand the blockchain applications areas, role of smart contracts in the operationalizing of business processes, cryptocurrencies including Bitcoin and Ethereum, use of the Blockchain through decentralized applications to accelerate app development, benefits, and challenges of Blockchain compared to traditional database technology, key considerations for implementing Blockchain and ethical aspects of blockchain including improved transparency in the supply chain. Lectures, assignments, and projects based on Blockchain technologies will be used to deliver the course.

References

• In Li, K.-C., In Chen, X., In Jiang, H., & In Bertino, E. (2020). Essentials of blockchain technology. CRC Press
• Bambara, J. J., & Allen, P. R. (2018). Blockchain: A practical guide to developing business, law, and technology solutions. McGraw-Hill Education
• In Maleh, Y. (2020). Blockchain for cybersecurity and privacy: Architectures, challenges, and applications. CRC Press
• https://developer.ibm.com/components/hyperledger-fabric/tutorials/ (Retrieved from the Internet 06/11/2022)
• https://www.tutorialspoint.com/blockchain/index.htm (Retrieved from the Internet 06/11/2022)
• https://www.javatpoint.com/blockchain-tutorial (Retrieved from the Internet 06/11/2022)
• https://www.guru99.com/blockchain-tutorial.html (Retrieved from the Internet 06/11/2022)

Learning Outcomes

• CLO 1: Examine various distributed consensus planning and fault tolerance mechanisms to understand consensus protocols.
• CLO 2: Assess various permissioned and non-permissioned blockchain to integrate the concept of different types of blockchain frameworks in various application areas.
• CLO 3: Analyze blockchain challenges and vulnerability issues to communicate the depth of technical and legal aspects in different domains.
• CLO 4: Validate the degree of success related to smart contracts in different blockchain frameworks as per user requirement and present it to all stakeholders.
• CLO 5: Evaluate blockchain technology's privacy and security impact to manage its context in various application areas.
• CLO 6: Perform experiments and present the outputs in the form of lab records.

Tutorials

• WEEK 1: Lab Induction, familiarization with Lab policies and lab record maintenance.
• WEEK 2: Familiarize with Ubuntu and installation of fabric environment.
• WEEK 3: Introduction to Hyperledger fabric to understand basic blockchain environment.
• WEEK 4: Connect two organizations using Hyperledger fabric. Read data from one another
• WEEK 5: Develop smart contracts in Java script and check compatibility in the environment.
• WEEK 6: Develop smart contracts in Golang and check compatibility in the environment.
• WEEK 7: Develop smart contracts and make changes to check the effects in network and transactions.
• WEEK 8: Add a third organization to the network.
• WEEK 9: To the third organization added experiment and record speed of transactions in linear network.
• WEEK 10: Add more peers to the network with two organizations.
• WEEK 11: Add more peers to the network with three organizations.
• WEEK 12: Add a fourth organization to the linear network.
• WEEK 13: Add a fourth organization to the linear network.
• WEEK 14: Experiment the accessing records from each organization.
• WEEK 15: Final Lab Exam.

CET444 - Selected Topic in Data Science II

CET445 - Information Analysis and AI

Course Contents

This course delves into the exciting world of extracting knowledge and insights from data, while exploring how Artificial Intelligence (AI) can be leveraged to automate and enhance these processes. You'll gain a foundational understanding of information analysis techniques, including data collection, cleaning, manipulation, and visualization. We'll explore various AI algorithms and their applications in information analysis, equipping you to tackle complex problems and make data-driven decisions. Through a blend of theoretical knowledge and practical exercises, you'll develop the skills to identify patterns, build predictive models, and effectively communicate your findings. This course will prepare you to thrive in an increasingly data-driven world, where information analysis and AI are transforming every aspect of business, science, and society.

References

• Data Analysis for Business Decisions by Foster Provost and Tom Fawcett (Latest Edition)
• Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow by Aurélien Géron (Latest Edition)
• Information Visualization by Colin Ware (Latest Edition)
• Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig (Latest Edition)
• Python for Data Analysis by Wes McKinney (Latest Edition)
• Machine Learning Crash Course by Google (https://developers.google.com/machine-learning/crash-course)

Learning Outcomes

• Apply information analysis techniques to clean, manipulate, and visualize data.
• Understand the fundamental concepts of Artificial Intelligence and various AI algorithms.
• Utilize AI tools to build and evaluate predictive models for data analysis.
• Effectively communicate data insights and findings through visualizations and reports.
• Critically evaluate the ethical implications of AI in information analysis.

CET451 - Neural Networks and Deep Learning

Course Contents

Artificial Neural Networks are one of the core domains of Artificial Intelligence that mimic human brain behavior through some complex mathematical models to solve computational and cognitive real-world problems. Neural networks are computational structures that process information using a set of interconnected nodes, akin to the vast network of neurons in the human brain. The nodes receive data from external inputs and other nodes within the network, and then they propagate or block that information through to other nodes. The more layers the neural network has, the more complex it becomes to train. Neural networks have been used for over 50 years in pattern recognition and many other tasks that are more difficult for humans or other methods of machine learning. The students learn the application of this method in various domain applications. It covers the foundations required for the understanding and the utility of Neural Networks and includes Historical Trends in Deep Learning, Machine Learning Basics, Deep Feedforward Networks, Regularization for Deep Learning, Optimization for Training Deep Models, and Convolutional Networks. It explores Sequence Modeling: Recurrent and Recursive Nets, Practical Methodology, Applications, Linear Factor Models, Autoencoders, Representation Learning, Monte Carlo Methods, Approximation Inference, and Deep Generative Models. Hands-on sessions focusing on machine learning fundamentals, projects and assignments are used to deliver the course.

References

• Goodfellow, Ian, Yoshua Bengio, and Aaron Courville. Deep learning. MIT press, 2016. ISBN-13: 978-0262035613, ISBN-10: 0262035618
• https://www.simplilearn.com/tutorials/deep-learning-tutorial/neural-network
• https://www.tutorialspoint.com/artificial_neural_network/index.htm
• https://pytorch.org/tutorials/beginner/blitz/neural_networks_tutorial.html
• https://towardsdatascience.com/deep-learning-with-python-neural-networks-complete-tutorial-6b53c0b06af0

Learning Outcomes

• CLO 1: Analyze a problem and identify and define the computing criteria appropriate to its solution and the requirements.
• CLO 2: Design, implement, and evaluate an Artificial Neural Networks based system, process, component, or program to meet desired needs.
• CLO 3: Design and develop the Artificial Neural Networks algorithms for pattern recognition to identify the hidden patterns in the given data.
• CLO 4: Break down and analyze methods for automatic training of prediction system and apply for suitable domain of problems.
• CLO 5: Formulate the understanding of learning and generalization issues in neural computation.
• CLO 6: Write lab reports and present results.

Tutorials

• WEEK 1: Introduction: Historical Trends in Deep Learning
• WEEK 2: Machine Learning Basics
• WEEK 3: Implement a Deep Feedforward Networks
• WEEK 4: Implement Regularization for Deep Learning using Python and Tensorflow
• WEEK 5: Optimization for Training Deep Models
• WEEK 6: Implement a Convolutional Networks using Python and Tensorflow
• WEEK 7: Sequence Modeling: Recurrent and Recursive Nets using Pythonand Tensorflow
• WEEK 8: Practical Methodology with Python and Tensorflow
• WEEK 9: Implement one neural network Application using Python and Tensorflow
• WEEK 10: Linear Factor Models using Python and Tensorflow
• WEEK 11: Implement Autoencoders using Python and Tensorflow
• WEEK 12: Implement Representation Learning using Python and Tensorflow
• WEEK 13: Implement Monte Carlo Methods using Python and Tensorflow
• WEEK 14: Implement Approximation Inference and Deep Generative Models
• WEEK 15: Lab Final Exam.

CET452 - Natural Language Processing

Course Contents

Natural Language Processing (NLP), a subdomain of Artificial Intelligence (AI), provides a mechanism for computers to understand and respond to humans in different spoken and written languages. The students will learn how NLP helps in providing solutions to performing language-related tasks of humans by a computer. This course covers the concepts required for analyzing a language's Origins and challenges of NLP, Language and Grammar, processing various Languages, NLP Applications, Information Retrieval, and Language Modeling -- including various Grammar-based Language Models and Statistical Language Models. It explores Word Level Analysis: Regular Expressions, Finite-State Automata, Morphological Parsing, Spelling Error Detection, Part-of-Speech Tagging, Syntactic Analysis: Context-free Grammar, Constituency Parsing, and Probabilistic Parsing. It discusses Semantic Analysis, including Meaning Representation, Lexical Semantics, Ambiguity, and Word Sense Disambiguation. It also discusses Discourse Processing: cohesion-Reference Resolution, Discourse Coherence and Structure, Natural Language Generation including Architecture of NLG Systems, Generation Tasks and Representations, and Application of NLG. Machine Translation systems are covered by discussing problems in Machine Translation; Machine Translation Approaches involving various Languages. The student learning includes Information Retrieval, Design features of Information Retrieval Systems, Classical, Non-classical, and Alternative Models of Information Retrieval, Valuation Lexical Resources, Lexical Resources including WordNet, Frame Net-Stemmers, POS Tagger, and Research Corpora. Hands-on sessions focusing on Natural Language Processing fundamentals, projects, and assignments are used to deliver the course.

References

• Eisenstein, Jacob. (2019). Introduction to Natural Language Processing, MIT Press
• https://www.tutorialspoint.com/natural_language_processing/index.htm
• https://www.simplilearn.com/tutorials/artificial-intelligence-tutorial/what-is-natural-language-processing-nlp
• https://www.datacamp.com/tutorial/tutorial-natural-language-processing
• https://github.com/graykode/nlp-tutorial

Learning Outcomes

• CLO 1: Design an application to analyze textual data by applying the basic concepts of natural language processing
• CLO 2: Build a system to generate a language-based text using natural language processing techniques
• CLO 3: Illustrate the method of applying information retrieval techniques using suitable methods and procedures
• CLO 4: Design a system to perform syntactic and semantic analysis.
• CLO 5: Write lab reports and present results.

Tutorials

• WEEK 1: Origins and challenges of NLP, Language and Grammar
• WEEK 2: Processing various Languages, NLP Applications, Information Retrieval
• WEEK 3: Language Modeling: Various Grammar-based Language Models, Statistical Language Model
• WEEK 4: Word Level Analysis: Regular Expressions, Finite-State Automata, Morphological Parsing
• WEEK 5: Spelling Error Detection and correction-Words and Word classes-Part-of Speech Tagging
• WEEK 6: Syntactic Analysis: Context-free Grammar, Constituency Parsing, Probabilistic Parsing
• WEEK 7: Semantic Analysis: Meaning Representation, Lexical Semantics
• WEEK 8: Ambiguity, Word Sense Disambiguation
• WEEK 9: Discourse Processing: cohesion-Reference Resolution, Discourse Coherence and Structure
• WEEK 10: Natural Language Generation: Architecture of NLG Systems, Generation Tasks and Representations, Application of NLG
• WEEK 11: Machine Translation: Problems in Machine Translation, Machine Translation Approaches, Translation involving various Languages
• WEEK 12: Information Retrieval: Design features of Information Retrieval Systems
• WEEK 13: Classical, Non-classical, Alternative Models of Information Retrieval
• WEEK 14: Valuation Lexical Resources, Lexical Resources: WordNet, Frame Net-Stemmers, POS Tagger, Research Corpora
• WEEK 15: Lab Final Exam

CET453 - Advanced Machine Learning

Course Contents

This is an intellectually rigorous course that delves into cutting-edge machine learning techniques. It provides students with the theoretical foundations and practical skills needed for data-driven challenges, covering topics like advanced supervised and unsupervised learning algorithms, deep neural networks, reinforcement learning, and generative AI. Hands-on experimentation with large datasets sharpens students' abilities to implement sophisticated models and interpret results. This course empowers students to proficiently apply advanced machine learning to real-world data science problems, fostering innovation in the field. Join us to master the latest advancements and shape the future through generative AI and reinforcement learning applications.

Learning Outcomes

• CLO 1: Master advanced supervised and unsupervised machine learning algorithms, including generative AI and reinforcement learning, through theoretical understanding and practical application.
• CLO 2: Proficiently design, train, and optimize deep neural networks for complex data analysis, incorporating cutting-edge techniques.
• CLO 3: Excel in reinforcement learning, optimizing decision-making in data-driven contexts, and harnessing its potential for innovation.
• CLO 4: Navigate natural language processing with ease, extracting insights from text data, and mastering advanced language tasks.
• CLO 5: Apply your knowledge effectively by working hands-on with large datasets, implementing advanced machine learning models, including generative AI approaches.
• CLO 6: Hone analytical and interpretive skills to evaluate model performance, extracting actionable insights for real-world applications.
• CLO 7: Prepare for data science leadership roles by mastering advanced machine learning techniques, driving innovation across data-driven domains.

Tutorials

• WEEK 1: Course Introduction and Overview of Advanced Machine Learning, including Generative AI and Reinforcement Learning.
• WEEK 2: Mastery of Supervised Machine Learning Algorithms in Theory and Practice.
• WEEK 3: Uncovering the Power of Unsupervised Machine Learning: Concepts and Applications, including Generative AI.
• WEEK 4: Deep Dive into Deep Neural Networks: Design, Training, and Optimization for Complex Data Analysis.
• WEEK 5: Proficiency in Deep Learning Techniques for Advanced Data Analytics.
• WEEK 6: Unlocking Reinforcement Learning Techniques for Decision Optimization.
• WEEK 7: Reinforcement Learning in Data-Driven Contexts and Innovative Applications.
• WEEK 8: Exploring the World of Natural Language Processing (NLP) and Text Analysis.
• WEEK 9: Mastering Text Data Analysis and Advanced Language Tasks with NLP.
• WEEK 10: Practical Application with Large Datasets: Hands-On Machine Learning, including Generative AI Models.
• WEEK 11: Implementation of Advanced Machine Learning Models, including Generative AI Approaches.
• WEEK 12: Critical Model Performance Evaluation and Interpretation.
• WEEK 13: Extracting Actionable Insights from Advanced Machine Learning Models.
• WEEK 14: Achieving Proficiency in Advanced Machine Learning for Data Science Leadership and Innovation.
• WEEK 15: Comprehensive Lab Final Exam.

CET461 - Scaling and Connecting Networks

Course Contents

Scaling and Connecting Networks is an essential course to understand and design the network. Scaling the component describes the architecture, components, and operations of routers and switches in bigger and complex networks. Students learn the configuration of router and switches configuration with advanced functionality. This course covers Implementing a Network Design, Hierarchical Network Design, the need to scale the network, enterprise business devices, hierarchical design model, cisco enterprise architecture ; expanding the network : design for scalability, planning for redundancy; selecting network devices : switch hardware- switch platforms and port density. The topics include forwarding rates, multilayer switching, router hardware- router requirements, cisco routers, managing devices- managing iOS files and licensing, basic router CLI commands, basic router show commands, basic switch CLI commands, basic switch show commands, Virtual local area networks and loop detection protocols, First hop redundancy protocols, EIGRP Advanced Configurations and Troubleshooting, OSPF. The student learning includes IPv4 and IPv6 network, virtual private networks and tunneling, IOS Images and Licensing, serial port connections, broadband connections and wide area networks and protocols, VTP, STP and DTP Configuration, Troubleshooting Inter-VLAN Routing, Configuration of Layer 3 Switching and Inter-VLAN Routing and Building a Switched Network with Redundant Links. The laboratory work consists of experiments that will include the configuration of switches and routers, creating LAN and WAN, illustrating the principles, laws and concepts discussed in the course.

References

• Johnson, A. (2017). Scaling Networks v6 Labs & Study Guide. Cisco Press.
• WENDELL, ODOM, and Wilkins Sean. (2020) "CCNA Routing and Switching 200-125."
• https://ptgmedia.pearsoncmg.com/images/9781587133282/downloads/9781587133282%20_chapter_1.pdf
• https://www.ciscopress.com/store/scaling-networks-v6-labs-study-guide-9781587134333
• https://ptgmedia.pearsoncmg.com/images/9781587133282/downloads/9781587133282%20_chapter_1.pdf

Learning Outcomes

• CLO 1: Use the simulation tool to configure and troubleshoot enhanced switching technologies
• CLO 2: Analyze, configure and troubleshoot first hop redundancy protocols (HSRP) in a switched network
• CLO 4: Solve common issues with OSPF, EIGRP, and STP in both IPv4 and IPv6 networks
• CLO 5: Implement a WLAN in a small-to-medium network
• CLO 6: Configure and troubleshoot routers and switches
• CLO 8: Select the suitable network component and implement it in to lab for a given problem.
• CLO 9: Write lab reports and present results.

Tutorials

• WEEK 1: Lab Induction, introduction to network devices, Course Policies, and reports.
• WEEK 2: Introduction to packet tracer
• WEEK 3: Basic Device Configuration.WEEK 4: VTP Configuration
• WEEK 5: STP Configuration
• WEEK 6: Configure VLANs, VTP, and DTP
• WEEK 7: Configure Extended VLANs, VTP, and DTP
• WEEK 8: Troubleshooting Inter-VLAN Routing
• WEEK 9: Troubleshoot VTP and DTP
• WEEK 10: Configure Layer 3 Switching and Inter-VLAN Routing
• WEEK 11: Building a Switched Network with Redundant Links
• WEEK 12: –Configuring Rapid PVST+, PortFast, and BPDU Guard
• WEEK 13: –Configuring Rapid PVST+, PortFast, and BPDU Guard
• WEEK 14: Open Ended Question to Design a Network
• WEEK 15: Lab Final Exam

CET462 - Data Centers Fundamentals

Course Contents

The ever-growing digital landscape relies on robust data centers to store, process, and transmit critical information. This "Data Center Fundamentals" course equips you with a comprehensive understanding of these vital facilities. You'll delve into the core components of a data center, including power distribution, cooling systems, network infrastructure, and security measures. We'll explore best practices for data center design, management, and operation, ensuring optimal uptime and efficiency. By the end of this course, you'll gain a solid foundation in data center technologies and their role in supporting today's digital world. You'll be able to identify different data center types, understand key considerations for power and cooling, and appreciate the importance of data center security. This knowledge is valuable for IT professionals, facility managers, and anyone interested in the infrastructure that powers the internet and modern business.

References

• Data Center Handbook by H. Randall Holbrook (Latest Edition)
• The Datacenter Guy's Guide to Cooling by Kyle Schubert (Latest Edition)
• Data Center Networking: A Practical Guide to Design, Operation, and Troubleshooting by Thomas Stulz (Latest Edition)
• Data Center Knowledge for IT Professionals by Chuck Ballard (Latest Edition)
• Disaster Recovery for Data Centers by Peter H. Gregory (Latest Edition)

Learning Outcomes

• Explain the purpose and function of data centers in the digital age.
• Identify various data center types and their suitability for different applications.
• Describe the key components of a data center, including power distribution, cooling systems, and network infrastructure.
• Analyze best practices for data center design and operation, including considerations for power, cooling, and security.
• Evaluate the importance of data center disaster recovery and mitigation strategies.
• Effectively communicate data center concepts and terminology.

CET463 - Technical Support Fundamentals for IT Systems

Course Contents

This course equips you with the foundational knowledge and skills needed to launch a career in IT support. This course provides a comprehensive overview of essential IT concepts, including computer hardware, software, operating systems, and networking. You'll delve into troubleshooting methodologies for diagnosing and resolving common technical problems faced by users. Additionally, the course emphasizes the development of effective communication skills for interacting with customers and clearly explaining technical issues. Through hands-on exercises and practical scenarios, you'll gain experience in installing and configuring software, identifying hardware malfunctions, and navigating technical documentation. The course also introduces you to basic customer service principles, including active listening, problem-solving, and conflict resolution. By the end, you'll be well-prepared to provide technical assistance to users and navigate the ever-growing world of IT support.

References

• A+ Guide to IT Technical Support (Hardware) by Mike Meyers (Latest Edition)
• CompTIA A+ Certification All-in-One Exam Guide by Mike Meyers (Latest Edition)
• Help Desk Fundamentals by Richard Blum (Latest Edition)
• Google IT Support Professional Certificate by Coursera
• HP Tech Support Library

Learning Outcomes

• Gain a solid understanding of computer hardware components, functionalities, and troubleshooting techniques.
• Master essential software installation, configuration, and troubleshooting procedures.
• Develop proficiency in identifying and resolving common network connectivity issues.
• Employ effective communication skills to interact with customers and understand their technical needs.
• Apply problem-solving methodologies to diagnose and resolve technical problems efficiently.
• Navigate technical documentation and utilize online resources for troubleshooting assistance.
• Uphold ethical standards while providing technical support to diverse users.

CET471 - Business Informatic II

Course Contents

This course bridges the gap between the technical expertise of IT and network engineers and the strategic needs of modern businesses. You'll delve into the advanced applications of information technology (IT) within organizations, exploring how data, systems, and processes can be optimized to achieve business goals. The course builds upon your existing technical knowledge, equipping you to analyze business processes, design and implement IT solutions, and effectively communicate with stakeholders. We'll cover topics like enterprise architecture, data warehousing, business intelligence, and IT project management. You'll gain insights into emerging technologies like cloud computing, big data analytics, and the Internet of Things (IoT), and explore their impact on business operations. Through case studies and real-world scenarios, you'll develop the skills to translate business requirements into effective IT solutions, ensuring alignment between technology and organizational objectives.

References

• Enterprise Architecture as Strategy by Jeanne W. Ross, Peter Weill, and David C. Robertson (Latest Edition)
• Data Warehousing in the Real World by Sam A. Lightstone (Latest Edition)
• Business Intelligence: A Managerial Perspective by Ralph Kimball, Michael Ross, Warren Thornthwaite, Joy Mullin (Latest Edition)
• Cloud Computing: Concepts, Technology & Architecture by Thomas Erl, Zaigham Mahmood, and Ricardo Puttini (Latest Edition)
• Big Data: A Revolution That Will Transform How We Live, Work, and Think by Viktor Mayer-Schönberger and Kenneth Cukier (Latest Edition)

Learning Outcomes

• Analyze business processes and identify opportunities for IT-driven improvement.
• Apply enterprise architecture frameworks to design and implement IT solutions.
• Design and manage data warehouses and business intelligence systems for effective decision-making.
• Evaluate and implement emerging technologies like cloud computing and big data analytics.
• Effectively communicate IT strategies and solutions to business stakeholders.
• Manage IT projects using established methodologies and best practices.

CET472 - Digital Transformation

Course Contents

The "Digital Transformation" course delves into the strategic use of technology to fundamentally change an organization's processes, culture, and overall approach to business. You'll explore the driving forces behind digital transformation, such as evolving customer expectations, technological advancements, and increased competition. The course examines various digital technologies impacting businesses, including cloud computing, big data analytics, artificial intelligence, and social media. Through case studies, discussions, and projects, you'll gain insights into developing and implementing a successful digital transformation strategy. You'll learn how to identify areas for improvement within an organization, assess digital maturity, and navigate potential cultural resistance to change. The course emphasizes leadership and change management skills to guide teams through the transformation process and achieve sustainable results. By the end, you'll be equipped to navigate the ever-changing digital landscape and leverage technology to drive innovation and competitive advantage within your organization.

References

• Digital Transformation: A Guide for Leaders in the Age of Disruption by David Rogers (Latest Edition)
• Leading Digital: How to Change the Way You Work for Digital Success by Melissa Raffay (Latest Edition)
• Exponential Organizations: Why New Organizations Are Ten Times Faster and More Innovative Than Traditional Companies by Salim Ismail, Yuri van Geest, and Michael S. Malone (Latest Edition)
• The Innovator's Dilemma: When New Technologies Cause Great Firms to Fail by Clayton M. Christensen (Latest Edition)
• Competing in the Age of Ai by Marco Iansiti and Karim R. Lakhani (Latest Edition)

Learning Outcomes

• Define digital transformation and its key drivers in the business landscape.
• Analyze the impact of various digital technologies on organizations.
• Develop a framework for assessing an organization's digital maturity.
• Design a digital transformation strategy aligned with business goals.
• Lead and manage change initiatives to facilitate successful digital transformation.
• Evaluate the potential risks and challenges associated with digital transformation.

CET491 - CET Project III

Course Contents

This course enables the students to exercise some of the knowledge and/or skills developed during the program in a new situation or problem for which there are number of engineering solutions. Further, they do market surveys about raw materials, components or finished products and identify the ethical societal and environmental issues related to the project (if there are any). The student also develops the ability to design, implement and test systems, hardware, or software. This course includes planning the tasks to be completed within the time allocated, and in turn, helps to develop the ability to plan, use, monitor, and control resources optimally and economically. Through this course, the student develops creativity, initiative, and capacity to perform. The leadership, supervisory, planning, and organizational skills are integrated into the learning objectives of this course. The projects has a detailed project proposal, which is executed or implemented within the time allocated, simultaneously maintaining a logbook, periodically monitored by the professor mentor. Projects are chosen so that they can be completed using students’ problem-solving capabilities and depth of learning. A detailed project report is to be prepared as the project progresses, which is to be submitted after the project is over. The student acquires the basic background necessary to conduct research on advanced topics in a chosen subject area.

References

• https://www.youtube.com/watch?v=AwH6drwfuAU
• https://www.youtube.com/watch?v=GQVoxaucS44
• https://www.youtube.com/watch?v=fsR8Cm5NBMg
• https://www.youtube.com/watch?v=EjQYvCXaMG4
• https://effectiveu.umn.edu/capstone/additional-resources

Learning Outcomes

• CLO 1: Assess the impact of the project on society (if there is any)
• CLO 2: Conduct Feasibility studies, Design projects, and Market surveys about raw materials, components or finished products
• CLO 3: Design, plan and propose a project according to user requirements.
• CLO 4: Apply project development methodologies appropriate to the project
• CLO 5: Collaborate with team members to develop the prototype of the Application
• CLO 6: Identify the ethical societal and environmental issues related to the project (if there are any)
• CLO 7: Communicate project ideas and current work achievements clearly through technical report and presentations.

CET492 - CET Project IV

Course Contents

This course enables the students to exercise some of the knowledge and/or skills developed during the program in a new situation or problem for which there are number of engineering solutions. In this course, the students apply the knowledge gained during the program to design and prototype a software application that meets user needs and expectations. Further, they evaluate the impact of the product or system or process on society and draw conclusions. This course includes planning the tasks which are to be completed within the time allocated, and in turn, helps to develop the ability to plan, use, monitor, and control resources optimally and economically. Through this course, the student develops creativity, initiative, and capacity to perform. The student develops leadership and supervision skills which are integrated into the learning objectives of this course. The projects have a detailed project proposal, which is executed or implemented within the time allocated, simultaneously maintaining a logbook periodically monitored by the professor mentor. Projects are chosen so that they can be completed using students’ problem-solving capabilities and depth of learning. A detailed project report is prepared as the project progresses, which is submitted after the project is over. The students acquire the basic background necessary to conduct research on advanced topics in a chosen subject area.

References

• https://www.youtube.com/watch?v=AwH6drwfuAU
• https://www.youtube.com/watch?v=GQVoxaucS44
• https://www.youtube.com/watch?v=fsR8Cm5NBMg
• https://www.youtube.com/watch?v=EjQYvCXaMG4
• https://effectiveu.umn.edu/capstone/additional-resources

Learning Outcomes

• CLO 1: Demonstrate the ability to apply the knowledge to design and prototype a software/hardware application that meets user needs and expectations.
• CLO 2: Design the project acquiring and applying new knowledge through literature review.
• CLO 3: Design computing/hardware solutions considering economical, environmental, cultural, global impact and technical aspects.
• CLO 4: Assess the impact of technical and system constraints to select optimal solutions.
• CLO 5: Evaluate the impact of the product or system or process on society and draw conclusions.
• CLO 6: Demonstrate teamwork through regular formal team meetings, project management, class presentations, and a final design presentation.
• CLO 7: Assess the ethical and legal impact of the implemented product or system or process.
• CLO 8: Write a technical report in a standard format and give an oral presentation.
• CLO 9: Design and implement the project with modern engineering tools and software.

CET4E1 - CS Major Elective II

CET4E2 - DS Major Elective II

CET4E3 - NS Major Elective II

CET4E4 - IT Major Elective II

Department of Electrical Power Engineering Technology

EPT111 - Computer Aided Engineering Drawing

Course Contents

This course aims to provide hands-on practice in free sketches and engineering drawing using suitable manual drawing tools and CAD software. This course also provides practice to read and interpret electrical engineering drawings. This course includes the use of electrical and electronic symbols, familiarization with industry standards and codes, and familiarization with various schematics and electrical drawings. The coursework is performed manually and on personal computers using CAD software. Initially students learn about the basic commands of CAD software, symbolic representation of electrical components, isometric and orthographic views, interpretation of line diagrams using absolute, relative and polar coordinate systems, interpret the freehand sketches of the given electrical components, interpretation of isometric drawings of electric machines parts or electrical components, interpretation of CAD electrical machine and components drawings, modification of electrical drawings as per requirements, isometric drawing of electrical components, schematic drawings of electrical parts, Circuit Builder, panel drawings, parametric and nonparametric PLC modules, stand-alone PLC I/O points, ladder diagrams, point-to-point wiring diagrams, report generation, and creation of symbols. This course will also enable students to draw and interpret electrical engineering drawings. The course will be delivered through lectures, demonstrations, and hands-on practice with CAD software for drawing electrical circuits and electrical machine components.

References

• Tickoo Sham, (2023) AutoCAD Electrical for Electrical Control Designers, CADCIM Technologies
• SK Bhattacharya (2007), Electrical Engineering Drawing New Age International.
• Cornel Barbu (2008) ELECTRICIAN'S BOOK HOW TO READ ELECTRICAL DRAWINGS
• https://www.autodesk.com/solutions/electrical-drawing
• www.mycadsite.com
• www.cadlearning.com
• http://www.staff.city.ac.uk/~ra600/ME1105/Tutorials/CAD-1/Tutorial%20CAD-2a.htm

Learning Outcomes

• CLO 1: Draw freehand sketches and isometric and orthographic views of electrical machines and components.
• CLO 2: Draw a symbolic representation of electric components manually and with the use of suitable CAD software.
• CLO 3: Use CAD software tools to draw electrical circuits with components
• CLO 4: Modify electrical line drawings and control panel layout.
• CLO 5: Communicate results of computer-generated electrical drawings through written reports following professional ethics.

Tutorials

• LAB 1: Exploring CAD software( Electrical), basic commands, work with toolbar, etc.
• LAB 2: Draw a line diagram using absolute coordinate systems using different line commands.
• LAB 3: Draw and modify 2D drawing using draw commands-line and arc.
• LAB 4: Create a simple electrical drawing using electric CAD software for the given electrical circuit diagram.
• LAB 5: Draw an isometric drawing of the electrical machines
• LAB 6: Draw orthographic views of the electrical machines
• LAB 6: Modify the given electrical drawing as per the requirements
• LAB 7: Draw Connectors, Point-to-Point Wiring Diagrams, and Circuits
• LAB 8: Editing an Existing Record in the Schematic Component or Circuit Dialog Box, Inserting Components from Panel Lists, Swapping and Updating Blocks
• LAB 9: Creating Panel Layouts from Schematic Lists
• LAB 10: Inserting a New Ladder, Modifying an Existing Ladder
• LAB 11: Inserting Schematic Components, Annotating and Editing the Symbols
• LAB 12: Inserting Parametric PLC Modules, Using the Spreadsheet to PLC I/O Utility Tool
• LAB 13: Generating Schematic Reports of electrical circuits, components, and machines.
• LAB 14: Inserting Terminal Symbols, Annotating and Editing Terminal Symbols
• LAB 15: Lab Final Exam

EPT191 - EPT Internship I

Course Contents

Internship provides an opportunity to practice and/or apply knowledge and skills in professional environments and gain valuable work experience. Through the Internship students get exposure to the industrial environment which cannot be simulated in the classroom. During the internship, students understand and sharpen the real-time technical/managerial skills required at the job(s). Further, they understand the social, economic, and administrative considerations that influence the working environment of industrial organizations. Student learning includes overall professional development of students, required problem-solving, communication, human development, and relationship-building skills. Further, the students develop awareness of the organizational department structure and their roles, responsibilities, and function. Students select the internship field in consultation with an industry mentor and faculty guide in terms of the academic requirements. The student is expected to produce a joining letter and a successful completion certificate. once the internship is over. Internship evaluation can be based on the quality of projects completed as part of the internship activities. Faculty Member(s) evaluate(s) the performance of students once by visiting the industry/organization and submit the evaluation report of the students with the consent of Industry persons/ mentor. The students are exposed to the industry environment for 6 to 8 weeks duration to understand the operation of the industrial facility.

References

• https://www.youtube.com/watch?v=jpf9J2TUJVg
• https://www.youtube.com/watch?v=KqIshDsg494
• https://www.youtube.com/watch?v=E1UcIHW5rSc
• https://www.youtube.com/watch?v=EhnfOUrFgxM

Learning Outcomes

• CLO 1: Understand the Electronic industrial standards and recognize the requirement of these standards with the industrial scenario.
• CLO 2: Examine a specific project related to electrical engineering at an existing job.
• CLO 3: Communicate effectively through the technical presentation.
• CLO 4: Demonstrate individual confidence to handle various engineering assignments during the internship.
• CLO 6: Expose themselves to acquire life skills to meet societal challenges
• CLO 7: Relate the engineer’s responsibilities and ethics while handling various engineering assignments during the internship.
• CLO 8: Read the engineering drawings and if necessary, modify the parts/unit/assembly drawing of the electrical product.

EPT211 - Power Electronics I

Course Contents

Power electronics is an enabling technology, used in industrial automation, energy generation & conservation and indirectly for environmental pollution control. This course introduces power semiconductor devices like power diodes, power transistors, power MOSFET, IGBT and its characteristics. It focusses on the thyristor, turn on methods, switching characteristics, thyristor protection, heating, cooling, mounting of thyristors. The topics include the commutation techniques, phase-controlled rectifiers, single phase half and full wave-controlled converters, three phase thyristor converter circuits, dual converters. This course includes the principle of chopper operation, step up and step-down chopper, types of chopper circuits like Type A, B, C,D, E, and its steady state analysis. The other important topic is inverters which includes single phase voltage source inverters, force commutated inverters, three phase bridge inverters, voltage control in single phase inverters, pulse width modulation inverters like single pulse modulation, multi pulse modulation inverters. The course also covers the AC voltage controller, types, integral cycle control, single phase voltage controller using R, RL load, cycloconverters, principle of operation, single phase to single phase circuit step up and step down cycloconverter, midpoint type, bridge type cycloconverters, three phase have wave cycloconverters. The course also involves experiment-based learning for the students to understand the concept and its application in industry.

References

• Muhammed. H .Rashid, (2018). Power Electronics: Devices, Circuits and Application , 4th Edition. Pearson Publication.
• P.S. Bimbhra (2006), Power Electronics, Khanna Publishers.
• https://www.tutorialspoint.com/power_electronics/index.htm
• https://www.electronics-tutorials.ws/power/thyristor.html
• https://www.powerelectronicsnews.com/special/power-design-notes/

Learning Outcomes

• CLO 1: Use basic properties of power devices, mathematics, and characteristics of linear and non‐linear devices in power applications.
• CLO 2: Demonstrate basic operation and compare performance of various power electronics Devices.
• CLO 3: Analyze power converter circuits and select suitable power electronic devices like DC-DC converters and Inverters by assessing the requirements of given application.
• CLO 4: Formulate and analyze configuration of AC voltage controllers, cyclo converters for system level design and performance assessment.
• CLO 5: Verify suitable power converters to control Electrical Motors and industry grade apparatus.
• CLO 6: Recognize the role of power electronics in the improvement of energy usage efficiency and applications of power electronics in emerging areas.

Tutorials

• LAB 1: Verify the output for single-phase half and full-controlled converters.
• LAB 2: Three phase thyristor converter.
• LAB 3: Verify the characteristics of SCR, and the output in DC Chopper circuits.
• LAB 4: DC Chopper based-speed control of DC motor.
• LAB 5: Verify the output in non-PWM inverter, series inverter, bridge-inverter.
• LAB 6: Study the characteristics of MOSFET and IGBT.
• LAB 7: Verify the output in series inverter.
• LAB 8: Verify the input output of Cyclo- converters.
• LAB 9: Verify the output in parallel inverter.
• LAB 10: Control of lamp brightness using single phase SCR converter.
• LAB 11: LAB Final Exam.

EPT231 - Solar Cell Engineering

Course Contents

This course covers theory and experiments on various renewable energy technologies and study of their performance parameters. It describes the impact of using conventional energy sources on the environment. Need of utilization of alternate energy sources is provided. It comprises of fundamentals of solar photovoltaic and solar thermal energy and their applications, environmental characteristics and solar radiation, classification and thermal analysis of solar energy collectors, solar thermal energy storage potential, and hybrid solar plants. The course covers aspects such as the history of wind turbine development and the characteristics of the wind. Also, the impact of site selection, design, manufacture, and operation of modern wind turbines is discussed. An overview of different types of horizontal and vertical axis wind turbines is presented. Introduction to types of biomasses, their characterization techniques, and ways of converting it to energy. Also, it contains descriptions and applications of various types of fuel cells. This course also presents the working principle and types of geothermal power plants. It also includes the mechanism of tidal wave energy generation and ways to harness that. The discussion on hydroelectric power and its utilization is provided. The laboratory work consists of experiments illustrating the principles, laws and concepts discussed in the course.

References

• Ehrlich, R., & Geller, H. A. (2018). Renewable energy: a first course. CRC press.
• Kanoğlu, M., Çengel, Y. A., & Cimbala, J. M. (2020). Fundamentals and applications of renewable energy. McGraw-Hill Education.
• “Lecture 20: Introduction to Renewable Energy.” Www.youtube.com, www.youtube.com/watch?v=tfmIk5nGtMU . Accessed 28 Sept. 2022.
• “NPTEL : NOC:Renewable Energy Engineering: Solar, Wind and Biomass Energy Systems (Chemical Engineering).” Digimat.in, digimat.in/nptel/courses/video/103103206/L01.html. Accessed 26 Sept. 2022.
• “Introduction to Renewable Energy.” Solar Energy International (SEI): Solar Training for Clean Energy Careers, www.solarenergy.org/courses/introduction-to-renewable-energy/#:~:text=RE100%20is%20a%20free%20course Accessed 19 Oct. 2022.
• “Renewable Energy.” Coursera, www.coursera.org/specializations/renewable-energy. Accessed 19 Oct. 2022.

Learning Outcomes

• CLO 1: Explain the effect of pollution and global warming due to fossil fuels.
• CLO 2: Illustrate the world’s energy requirements and resources to fulfill it.
• CLO 3: Differentiate between various types of renewable energy resources.
• CLO 4: Relate the renewable energy resources to the location and availability.
• CLO 5: Compare the techniques to harvest electrical energy from renewable resources.
• CLO 6: Demonstrate the working of energy conversion technologies under various test conditions.
• CLO 7: Conduct experiments, interpret data and draw results and conclusions.
• CLO 8: Write lab reports and present results.

Tutorials

• LAB 1: Lab Induction, safety precautions, significant parameters, introduction to instruments, course policies, reports
• LAB 2: Simulation studies on wind/micro wind energy generator, and simulation studies on hybrid (solar wind) power system. LAB 3: Experiments on performance assessment of hybrid (solar wind) power system.
• LAB 4: Study the production process of biofuels from jatropha oil and determination of iodine value and flash point of Jatropha biofuel.
• LAB 5: Study the production process of biofuels from waste cooking oil and Determination of iodine value and flash point of waste cooking oil biodiesel.
• LAB 6: Study the production process of biofuels from algae.
• LAB 7: Determination of iodine value and flash point of algal biodiesel.
• LAB 8: Study the construction of fuel cell, Study the working of hydrogen fuel cell. LAB 9: Study the characteristics of a solar cell and find the fill factor. LAB 10: Simulation studies on hydel power.
• LAB 11: LAB Final Exam

EPT241 - Industrial Control Engineering Technology I

Course Contents

Every sector of the industry is linked with the control system in some or another way. Control System is one an integral part of space technology, power system, transportation system, and robotics and hence control systems are important in designing electrical and mechanical systems. This course covers the mathematical modelling of first order and second order mechanical systems, electrical systems and to determine the transfer function of the system, reducing the transfer function by block diagram reduction technique, signal flow graph using Masons gain formula. It also covers the transient analysis to find the rise time, peak time, delay time, settling time, steady state error, error constants , time domain analysis of the system using root locus, finding the range of gain in root locus for stability, stability analysis using Routh Hurwitz technique, frequency domain analysis like Bode plot. The student learning includes stability of the system based on the parameters like gain margin and phase margin, Nyquist plot to determine the number of roots lying in the right and left of the s plane, and compensation techniques to improve the stability by adjusting the value of gain, adding poles and zeroes to the transfer function. Lectures, assignments, exams, quizzes are used in this course.

References

• Richard, C. Dorf, Robert H. Bishop, (2014). Modern Control Systems, 12th Edition, Pearson Publication.
• Ogata, K. (2010). Modern Control Engineering (5th Edition) 5th Edition, Prentice Hall.
• https://www.electrical4u.com/control-system-closed-loop-open-loop-control-system/
• https://www.javatpoint.com/control-system-tutorial
• https://www.mathworks.com/solutions/control-systems.html

Learning Outcomes

• CLO 1: Determine the basic elements and structure of feedback control system and to determine the mathematical model of the systems and present in teams.
• CLO 2: Calculate the various transient parameters and steady state error for the second order system.
• CLO 3:Solve the stability of the system using Routh Hurwitz techniques and Polar plot.
• CLO 4: Interpret the stability of the system using root locus and Nyquist criteria.
• CLO 5: Assess the types of controllers required and the compensation techniques to improve stability.
• CLO 6: Demonstrate various experiments in teams using MATLAB to find the transient parameters, steady state error.
• CLO 7: Evaluate the stability of the system in teams using MATLAB like root locus and determine the suitable compensators.

Tutorials

• LAB 1: MATLAB: Block Diagram Reduction of Mechanical and Electrical Systems.
• LAB 2: Experiment to determine the Time Domain Analysis of 1st Order System.
• LAB 3: Experiment to determine the Time Domain Analysis of 2nd Order System.
• LAB 4: Experiment to determine the Transient Analysis of transfer function.
• LAB 5: Experiment to determine the Frequency Domain Analysis using Bode Plot
• LAB 6: Experiment to determine the stability using Nyquist Plot and Polar Plot.
• LAB 7: State Space Representation of System using MATLAB
• LAB 8: Design of Lag/Lead Compensator using MATLAB to improve the transient response
• LAB 9: Experiment to simulate the transfer function of DC motor using MATLAB

EPT242 - Electrical Machines I

Course Contents

Electrical generators and motors are widely used in all residential & industrial sectors to generate and consume power. This course covers principles of forces and torque in magnetic field systems, principle of operation, constructional features, E.M.F. equation, different types of winding like armature windings, lap, and wave windings. It also covers the methods of excitation, types of DC generator, armature reaction – cross magnetizing and de-magnetizing effects and compensating winding, commutation process and interpoles. It also covers the characteristics of generators, losses and efficiency, parallel operation of DC shunt generators, concept of back E.M.F, torque, and speed equations. The topics include the characteristics of different motors, Speed control of D.C. motors - armature voltage and field flux control are covered in module, construction, and principle of operation of single-phase transformers, types , emf equation, operation on no load, load- phasor diagrams, equivalent circuit, regulation, losses and efficiency, open circuit and short circuit tests, polarity test, Sumpner’s test. The student learning includes the single-phase induction motor, constructional features, production of torque, phasor diagram, equivalent circuit, performance analysis, torque-slip characteristics, generator operation starting, starting methods of squirrel cage and wound rotor induction motor. The student learns various methods of speed control of squirrel cage and wound rotor induction motor, synchronous motor, constructional features. cylindrical rotor machine, synchronous generator, generated e.m.f., circuit model and phasor diagram, armature reaction, synchronous impedance, voltage regulation and different methods for its estimation, synchronous motor operating principle, circuit model, phasor diagram, and effect of load. Further, the course includes operating characteristics of synchronous machines, basic working of stepper and servo motors. Lectures, theoretical assignments, exams, quizzes are used in this course.

References

• Hubert, C. (2020). Electric Machines: Theory, Operating Applications, and Controls (2nd edition). Pearson.
• B.L.Theraja (2006),A Textbook of Electrical Technology: AC and DC Machines, (7th Edition), Chand Publication.
• https://studyelectrical.com/electrical-machines/dc-motor
• https://www.electricaleasy.com/2014/07/characteristics-of-dc-motors.htm
• https://www.electrically4u.com/category/electrical-machines/synchronous-motor
• https://www.eeeguide.com/speed-torque-characteristics-of-dc-series-motor
• https://www.javatpoint.com/electrical-machines-tutorial

Learning Outcomes

• CLO 1: Analyze basic magnetic circuits and describe the principles of applying magnetic fields in electric machines.
• CLO 2: Apply the construction and operational knowledge associated with electrical machines and their characteristics.
• CLO 3: Categorize single phase transformer, three phase transformer and DC motors using different types of winding for performance measurement.
• CLO 4: Examine the construction and equivalent circuit of induction motor and synchronous motors
• CLO 5: Analyze the fundamental theory related to 3-phase circuits, electric machines for power systems.
• CLO 6: Conduct experiment on three-phase transformers, use calculations of harmonics and Scott connections, and also find out the responses of different electrical machines under varying conditions.
• CLO 7: Assess through presentation research the performance of electrical machines, in order to solve engineering problems, and write lab report.

Tutorials

• LAB 1: Draw the magnetization of DC shunt generator. Determination of critical field resistance and critical speed.
• LAB 2: Obtain load characteristics of DC shunt generator and compound generator.
• LAB 3: Perform speed control of DC shunt and series motor by field and armature control methods.
• LAB 4: Pre-determine the efficiency of DC machine by performing Hopkinson’s test on DC shunt motor.
• LAB 5: Study the equivalent circuit diagram, regulation, and efficiency of single-phase transformer and perform polarity test on single-phase transformer.
• LAB 6: Study and perform the operation of the Scott connection using two single-phase transformers.
• LAB 7: Study open and short circuit tests for single-phase transformer
• LAB 8: Perform no-load test and blocked rotor test on a three phase induction motor and hence determine its equivalent circuit parameters.
• LAB 9: Perform load test on a three phase Induction and obtain its various performance characteristics.
• LAB 10: Determine the efficiency of DC machine by performing Swinburne’s test on DC shunt motor.
• LAB 11: Perform experiment in stepper motor to rotate in clockwise and anti-clockwise direction and perform experiment in servo motor to rotate to a specific degree.

Laboratories

• WEEK 1: Solving the parameters in transformer and find the equivalent circuits
• WEEK 2: Solve for reactive power, power factor in transformer circuits
• WEEK 3: Solve for the transformer ratio and efficiency in transformer.
• WEEK 4: Numerical based on finding the flux, torque in DC motors.
• WEEK 5: Numerical based on finding the armature current, field current in DC series motor
• WEEK 6: Numerical based on DC compound motors to find the armature, field voltages
• WEEK 7: Numerical based on finding the armature current, field current in DC shunt motor
• WEEK 8: Numerical to find the resolution and finding the digital signals to run the stepper motor at different step angles.
• WEEK 9: Calculation to run the servo motor at specific angle.
• WEEK 10: Writing algorithm to run the stepper motor in clockwise direction.
• WEEK 11: Calculation of star delta in three phase transformers.
• WEEK 12: Numerical based on three phase transformer and finding the equivalent circuit.
• WEEK 13: Calculation of capacitance to adjust the power factor in transformer circuit.
• WEEK 14: Numerical based on single phase induction motor.
• WEEK 15: Numerical based on three phase induction motor.

EPT243 - Electrical Power Systems Technology I

Course Contents

The Power Systems course provides students with the necessary information, understanding, and abilities to operate in the electric power sector at a competitive level, including generating electricity, transmitting, distributing, and using it. This is used in diverse spectrum of power industries including coal, oil and gas-fired power plants, hydroelectric, atomic, and renewable energy power plants. This course covers the single line diagram of power system, description of power system elements like synchronous machine, transformer, transmission line, bus bar, circuit breaker and isolator, different kinds of supply system and their comparison, choice of transmission voltage, configurations, types of conductors, resistance of line, skin effect, Kelvin’s law. Proximity effect. The topics include the overhead transmission lines, calculation of inductance and capacitance of single phase, three phase, single circuit and double circuit transmission lines, and Ferranti effect. The student learning includes surge impedance loading, mechanical design of transmission line, catenary curve, calculation of sag & tension, effects of wind and ice loading, sag template, vibration dampers, neutral grounding, necessity of neutral grounding, various methods of neutral grounding, earthing transformer, and grounding practices. The student learns about the type of cables and their construction, dielectric stress, grading of cables, insulation resistance, capacitance of single phase and three phase cables, dielectric loss, heating of cables. The course also covers corona and interference, phenomenon of corona, corona formation, calculation of potential gradient, corona loss, factors affecting corona, methods of reducing corona and interference and the electrostatic and electromagnetic interference with communication lines. Further the student learns about overhead line Insulators, type of insulators and their applications, potential distribution over a string of insulators, methods of equalizing the potential, string efficiency.

References

• Kothari D.P, Nagrath I J, (2019). Power system Engineering, 3rd Edition. McGraw-Hill Education.
• https://www.tutorialspoint.com/electrical_safety/electrical_safety_power_system.htm
• https://pdhonline.com/courses/e104a/e104a_new.htm
• http://www.newacademicscience.co.uk/samplechapter/000104.pdf

Learning Outcomes

• CLO 1: Describe the introduction to Power Systems through single line diagrams and various elements of power systems.
• CLO 2: Calculate inductance and capacitance of OH lines along with sag and tension in lines under various conditions
• CLO 3: Distinguish various types of cables, their constructions, and their applications
• CLO 4: Explain the phenomenon of Corona, its formation factors, losses, and remedies.
• CLO 5: Illustrate various types of insulators according to their design and their applications.

Tutorials

• LAB 1: Studying Ferranti effect and determine A, B, C, D parameters of short and medium transmission line.
• LAB 2:Performing symmetrical fault analysis in AC and DC network analyzer.
• LAB 3: Studying characteristics of microcontroller-based earth fault relay.
• LAB 4: Studying various effects on transmission line simulator and loading of transmission line.
• LAB 5: Shunt capacitive compensation of transmission line.
• LAB 6: Parallel operation of transmission line.
• LAB 7: Simulation of 3-Phase fault detection, SLG, LLG and LL fault detection. LAB 8: Finding out the string efficiency across the string of insulators, and testing of CT, PT’s, and insulator strings.
• LAB 9: Power circle diagrams of a 3-Φ transmission line model.
• LAB 10: perform the experiment for Unsymmetrical fault analysis on DC network.
• LAB 11: Shunt reactor compensation for unloaded line.

EPT291 - EPT Project I

Course Contents

This course enables the students to exercise some of the knowledge and/or skills developed during the program in a new situation or problem for which there are number of engineering solutions. The student is expected to design a project that provides students with the experience of designing, building, and integrating modular software applications/ electronic system comprising analog, digital and computer subsystems. The student mostly implements design and tests the system. This course includes planning the tasks which are to be completed within the time allocated, and in turn, helps to develop the ability to plan, use, monitor, and control resources optimally and economically. By studying this course. The student develops creativity, initiative, and capacity to perform. Leadership development and supervision skills are also integrated into the learning objectives of this course. The project will have a detailed proposal, which must be executed or implemented within the time allocated while maintaining a logbook periodically monitored by the professor mentor. Projects should be chosen so that they can be completed using students’ problem-solving capabilities and depth of learning. A detailed project report is to be prepared as the project progresses, which has to be submitted after the project is over. The students acquire the basic background necessary to conduct research on advanced topics in a chosen subject area.

References

• https://www.youtube.com/watch?v=AwH6drwfuAU
• https://www.youtube.com/watch?v=GQVoxaucS44
• https://www.youtube.com/watch?v=fsR8Cm5NBMg
• https://www.youtube.com/watch?v=EjQYvCXaMG4
• https://effectiveu.umn.edu/capstone/additional-resources

Learning Outcomes

• CLO 1: Define the tasks and scope of the project independently and/or collaboratively
• CLO 2: Identify relevant information pertaining to project needs from a variety of resources.
• CLO 3: Acquire knowledge on advanced topics in a chosen subject area
• CLO 4: Summarize the information and draw a logical conclusion to the problem/task of the project
• CLO 5: Outline the details of hardware and software required for the completion of the project
• CLO 6: Prepare project proposals with an action plan and time duration scientifically.
• CLO 7: Communicate project ideas and current work achievements clearly through technical report and presentations.

EPT292 - EPT Project II

Course Contents

This course enables the students to apply some of the knowledge and/or skills developed during the program in a new situation or problem for which there are number of engineering solutions. Project II provides students with the experience of designing and building simple software and hardware applications. Further students can learn how to integrate it into a modular electronic system or computer subsystems. This course builds on the knowledge and skills built in Project I. The student mostly implements design and tests the system. This course includes planning the tasks which are to be completed within the time allocated, and in turn, helps to develop the ability to plan, use, monitor, and control resources optimally and economically. Through this course, the student develops creativity, initiative, and capacity to perform. The student develops interpersonal, teamwork, planning and organizing skills. The projects will have a detailed project proposal, which must be executed or implemented within the time allocated, simultaneously maintaining a logbook periodically monitored by the teacher. Projects should be chosen so that they can be completed using students’ problem-solving capabilities and depth of learning. A detailed project report is to be prepared as the project progresses, which has to be submitted after the project is over. The students acquire the basic background necessary to conduct research on advanced topics in a chosen subject area.

References

• https://www.youtube.com/watch?v=AwH6drwfuAU
• https://www.youtube.com/watch?v=GQVoxaucS44
• https://www.youtube.com/watch?v=fsR8Cm5NBMg
• https://www.youtube.com/watch?v=EjQYvCXaMG4
• https://effectiveu.umn.edu/capstone/additional-resources

Learning Outcomes

• CLO 1. Choose the relevant possible solutions from available alternatives
• CLO 2. Conduct feasibility studies about hardware and software parts used in the project.
• CLO 3. Design a simple software and hardware application taking into consideration various real-life constraints.
• CLO 4. Investigate the important legal and ethical issues in the design project
• CLO 5. Collaborate with team members, managers, and clients to design and prototype a product/service that meets user needs and expectations.
• CLO 6. Conduct the theoretical study in detail and compare them on the basis of cost/ energy conservation/impact on environment/technology used etc.
• CLO 7. Communicate project ideas and current work achievements clearly through technical report and presentations.

EPT311 - Power Electronics II

Course Contents

AC Voltage regulators, AC static switches, DC to DC Converter: buck, boost, buck-boost, Cuk DC/DC converters. Inverter single phase half-bridge and full-bridge, 3-phase bridge inverters, PWM modulation techniques. Application on UPS.

References

• https://mrcet.com/downloads/Labmanuals/EEE/POWER%20ELECTRONICS%20LAB%20MANUAL.pdf

Learning Outcomes

• CLO 1: Be able to understand how dc-dc converters work.
• CLO 2: Have the knowledge of designing a switched-mode power supply, both the power and
• control circuits.
• CLO 3: Be able to understand how resonant converters work, their advantages and
• disadvantages.
• CLO 4: Be able to choose energy storage media, its management and network interface
• converters.
• CLO 5: Be able to design passive filters depending on the application and the specific features
• of the power system.
• CLO 6: Be able to choose the appropriate type and category of active filter depending on the
• application and the specific features of the system in which it will be placed.
• CLO 7: Be able to collaborate with their fellow students to conduct and present case studies.

Tutorials

• LAB 1: Study the characteristics of SCR, MOSFET & IGBT.
• LAB 2: Single-phase Half controlled converter with R load and single-phase fully controlled bridge converter with R and RL loads.
• LAB 3: Three-phase half controlled bridge converter with R‐load.
• LAB 4: Single Phase AC Voltage Controller with R and RL Loads.
• LAB 5: SINGLE-PHASE BRIDGE CONVERTERS and THREE-PHASE BRIDGE CONVERTERS.
• LAB 6: THREE-PHASE FULLY-CONTROLLED BRIDGE, OHMIC-INDUCTIVE LOAD.
• LAB 7: STEP-DOWN (BUCK) CONVERTER, STEP-DOWN CONVERTER WITH MOSFET, and STEP-UP (BOOST) CONVERTER.
• LAB 8: STEP-UP CONVERTER WITH IGBT AND PWM CONTROL.
• LAB 9: SINGLE-PHASE SWITCHED-MODE INVERTER.
• LAB 10: Single-phase half-bridge inverter and Single-phase full-bridge inverter. LAB 11: SINGLE-PHASE FULL-BRIDGE INVERTER WITH SINUSOIDAL PWM CONTROL.

EPT341 - Electrical Machines II

Course Contents

This Course is for Fundamental of rotating AC machines: Construction of rotating machines, rotating fields of single and three phase machines, electromotive force and torque equation of the AC machines. Synchronous machines: construction, fundamental laws, cylindrical rotor machines, basic tests, salient pole machines, synchronous motors, power formulae, stability and damper bars, synchronization of machines, transient performance. Permanent Magnet Synchronous Generators (PMSG) and Switched Reluctance Machine (SRM). Induction machines: construction of different types of induction machine, concept of rotating and pulsating fields, principles of operation of three phase induction motor based on linear magnetic circuit, torque, slip characteristics, conditions and methods of starting of three phase induction motor (double cage and deep bar rotors), speed control of three phase induction motor, induction generator, testing of three phase induction motor.

Learning Outcomes

• CLO 1:Recognize Poly phase Induction Machines – I (Construction features, production of rotating magnetic field, equivalent circuit, torque and power equations,
• torque-slip characteristics, no load and blocked rotor tests’ efficiency. Induction generator, Starting and speed
• control, cogging and crawling).
• CLO 2 :Single- Phase Induction Motor (Double revolving field theory, equivalent circuit, no load and blocked rotor tests, starting methods, repulsion
• motor. A.C. Commutator Motor:E.M.F. induced in commutator windings, single phase a.c. series motor, Universal
• motor).
• CLO 3:Synchronous Machines – I (Constructional features, armature windings, E.M.F. equation, winding coefficients, harmonics in the induced
• E.M.F., armature reaction, O.C. and S.C. tests, voltage regulation-Synchronous impedance method, MMF
• Method, Potier’s triangle method and parallel operation, operation on infinite bus, cooling).
• CLO 4:Synchronous Machines - II (Two reaction theory, power expressions for cylindrical and salient pole machines, performance characteristics.
• Synchronous Motor : Principle of operation, starting methods, phasor diagram torque-angle characteristics, Vcurves
• hunting and dampling, synchronous condenser, reluctance motor).

Tutorials

• LAB 1:To Perform load-test on 3 ph. Induction motor & to plot torque V/S speed characteristics.
• LAB 2:To Perform no-load & blocked –rotor tests on 3 ph. Induction motor to obtain equivalent ckt. Parameters &
• to draw circle diagram.
• LAB 3:To study the speed control of 3 ph. Induction motor by Kramer’s Concept.
• LAB 4:To study the speed control of 3 ph. Induction motor by cascading of two induction motors, i.e. by feeding
• the slip power of one motor into the other motor.
• LAB 5:To study star- delta starters physically and
• (a) to draw electrical connection diagram
• (b) to start the 3 ph. Induction motor using it.
• LAB 6 :To study star- delta starters physically and To reverse the direction of 3 ph. I.M.
• LAB 7:To start a 3 phase slip –ring induction motor by inserting different levels of resistance in the rotor ckt. And
• to plot torque –speed characteristics.
• LAB 8:To perform no-load & blocked –rotor test on 1 ph. Induction motor & to determine the parameters of
• equivalent ckt. Drawn on the basis of double revolving field theory.
• LAB 9:To Perform load –test on 1 ph. Induction motor & plot torque –speed characteristics.
• LAB 10:To Perform no load & short ckt. Test on 3- phase alternator and draw open ckt. And Short ckt. Characteristics.
• LAB 11:To find voltage regulation of an alternator by zero power factor (z.p.f.) method.
• LAB 12:To study effect of variation of field current upon the stator current and power factor With synchronous motor running at no load and draw V & inverted V curves of motor.
• LAB 13:To measure negative sequence & zero sequence reactance of Syn. Machines. WEEK 14:FINAL EXAM

EPT342 - Electrical Power Systems Technology II

Course Contents

This course is designed to understand various substation basics, switching configurations, understand different types of bus bar configurations, power factor correction devices, SCADA system and its application in Power System, substation automation and gas insulated substations. This course gives the introduction to functions of a substation, classification, layout, design and construction of bus Bar and earth wire in substation, factors affecting layout of substation, testing of substation, reactive power management, fundamentals of earthing, load Management. The student learning includes causes and effect of low power factor; advantages of power factor improvement, PF improvement using shunt capacitors and synchronous condensers, calculation of most economic pf when, kw demand is constant and when KVA demand is constant, importance of capacitor banks. The course covers computer applications, SCADA subsystem, data acquisition and data processing, supervisory control, voltage control and voltage stability, Protection using circuit breakers, fuse and protection against overvoltage, bus bar protection. The student learning includes the technical standards for construction of sub stations, substation automation system and gas insulated substations. The topics include air and water pollution by thermal power plants and its control, acid rains, thermal pollution by thermal and nuclear power plants, radio-active pollution of environment by nuclear power plants, noise pollution and noise control, methods suggested to reduce the pollution, pollution flashover mechanism in insulators. Additional topics include the basics of current transformers and voltage transformers and the economic operation of power system. Lectures, theoretical assignments, exams, quizzes are used in this course.

References

• R.S. Dahiya (2010), Sub Station Engineering: Design Concept & Computer Application, Katson Publishers.
• https://pdhonline.com/courses/e163/Substation_Design.pdf
• https://electrical-engineering-portal.com/power-substation-design-engineering
• https://www.elprocus.com/what-is-a-substation-definition-types-of-substations/
• https://energyeducation.ca/encyclopedia/Electrical_substation

Learning Outcomes

• CLO 1: Make a layout diagram of substation based on the load requirement.
• CLO 2: Categorize the causes and effect of low power factor and correction using compensating devices.
• CLO 3: Compare the transforms used in different stages at substation.
• CLO 3: Illustrate the concept of SCADA in Power System.
• CLO 4: Analyze the cause of pollution in power plant and methods to reduce them.
• CLO 5: Demonstrate experiment and simulate all the process from power generation, to load distribution.

Tutorials

• LAB 1: Determine the ABCD, H, Z, and Image parameters of short, medium, and long transmission line for T-network and for pi-network.
• LAB 2: Determine the ABCD, H, Z, and Image-parameters for long transmission line.
• LAB 3: Measure the receiving end voltage of each line under no load or lightly load condition to understand Ferranti effect and understand the performance of transmission line under different loads.
• LAB 4: Study the operating performance of over and under-voltage relay with different plug settings
• LAB 5: Monitoring single bus scheme and double bus scheme of substation using SCADA systems.
• LAB 6: Study and verify the operating characteristics of over current relay, differential relay at various plug & time settings
• LAB 7: Use of switches and circuit breaker of substation using SCADA systems.
• LAB 8: Study and verify the operating characteristics of three phase over current and Earth fault numeric relay.
• LAB 9: Line-to-Ground (L-G) fault analysis of a single and three phase transmission line.
• LAB 10: Single line-to-Ground (L-G) fault analysis of a three phase transmission line, line-to-line (L-L) fault analysis, double line-to-Ground (L-L-G) fault analysis of three phase transmission line.
• LAB 11: Symmetrical L-L-L and L-L-L-G fault analysis of a three phase transmission line.

EPT343 - Industrial Control Engineering Technology II

Course Contents

Industrial Automation is the use of machines, control systems, and information technologies to optimize productivity in the manufacturing processes with little human involvement. Industrial automation describes the role of computers in measurement and instrumentation and associated data transfer techniques and communication protocol. The course gives the students an understanding of the PLC, construction and working about interfacing with field devices and the communication protocol. The course introduces the process control hardware components, actuators, sensors, process diagram, logical design of automation circuits, state diagrams, elements of electro pneumatic components, pneumatic cylinder, airflow valves, and application of electro pneumatic systems, hydraulic components, hydraulic cylinder, piston, and hydraulic actuators. The topics also include the architecture of PLC, basic operation of PLC, digital and analog input modules, digital and analog output modules, PLC expansion, input output configuration, basic programming principles of PLC, assembly language programming, instruction sets, ladder programming and ON-OFF control used in PLC. The student learning includes normally open and normally closed concepts, interfacing the hydraulic and pneumatic systems to PLC, interfacing electrical switches to PLC, and PID control using PLC. The student also learns SCADA functional requirements and controls; general features, functions and applications, benefits, working of SCADA, increase uptime, cut costs, improved operations meet demand, implementation considerations, data presentation for improved analysis, and structure of SCADA communications protocols. Lectures, theoretical assignments, exams, quizzes are used in this course.

References

• Stamatios. Nikolakopoulos, G. (2018). Introduction to Industrial Automation, CRC Press Publication, 1st Edition
• Dey, C., & Sen, S. K. (2020). Industrial Automation Technologies, Taylors, and Francis Group.
• Bartelt, T. (2011). Industrial Automated Systems Instrumentation and Motion Control, Delmar Cengage Learning, 1st Edition.
• https://www.solisplc.com/what-is-plc-programming
• https://www.instructables.com/PLC-Programming/
• https://instrumentationtools.com/category/plc/

Learning Outcomes

• CLO 1:Examine the architecture and different components of automation using block diagram
• CLO 2:Design the functional block diagram for PLC and the programming concepts including assembly instruction set
• CLO 3: Develop program using Ladder diagram in PLC for different automation in industries like bottle filling, packaging.
• CLO 4: Construct a project using flow chart and program for different industrial parameters like temperature, pressure, level and use the analog input modules and output modules for control operations.
• CLO 5: Form PLC ladder logic for interlocking latching, logical circuits, counters, timers, interrupts, and design using advanced control like neural network and fuzzy logic
• CLO 6: Analyze the PLC used in industries and present the application in groups.

Tutorials

• LAB 1: Introduction to PLC, analog-digital input output modules, ladder, and assembly programming.
• LAB 2:.Implementation of vehicle and pedestrian traffic control at an intersection using PLC.
• LAB 3: PLC electro-pneumatic training system: Two double-acting cylinders. Control valve station featuring single- and double-solenoid valves. PLC electro-pneumatic training system: Two reed switches and one mechanical limit switch for PLC feedback.
• LAB 4: PLC electro-pneumatic training system: Control valve station featuring single- and double-solenoid valves, PLC electro-mechanical training system: PLC controlled positioning and motion processes using DC motor.
• LAB 5: PLC electro-mechanical training system: PLC controlled positioning and motion processes using stepper motor.
• LAB 6: Level-process training system using PLC, control relays, a pump, and a set of sensors.
• LAB 7: PLC based bottling process training system combining solenoid valve and stepper motors.
• LAB 8: PLC hydraulic control system: Single-acting cylinder and control of double-acting cylinder.
• LAB 9: PLC DC motor control using hydraulic system.
• LAB 10: PLC elevator control using ladder programming.
• LAB 11: PLC control of temperature using ON-OFF/PID control.

EPT392 - EPT Internship II

Course Contents

Internship provides an opportunity to practice and/or apply knowledge and skills in professional environments and gain valuable work experience. Through the Internship students get exposure to the industrial environment which cannot be simulated in the classroom. During the internship, students have to understand and sharpen the real-time technical/managerial skills required at the job(s). Further, they have to Understand the social, economic, and administrative considerations that influence the working environment of industrial organizations. Overall professional development of students required problem-solving, communication, human development, and relationship-building skills. Students select the internship field in consultation with an industry mentor and faculty guide in terms of the academic requirements. The student is supposed to produce a joining letter and a successful completion certificate. once the internship is over. Internship evaluation can be based on the quality of projects completed as part of the internship activities. Faculty Member(s) has to evaluate(s) the performance of students once by visiting the Industry/Organization and the Evaluation Report of the students’ needs to submit in the department office with the consent of Industry persons/ mentor. The students will be exposed to the industry environment for a minimum period of 08 weeks duration to understand the operation of the industrial facility.

References

• https://www.youtube.com/watch?v=jpf9J2TUJVg
• https://www.youtube.com/watch?v=KqIshDsg494
• https://www.youtube.com/watch?v=E1UcIHW5rSc
• https://www.youtube.com/watch?v=EhnfOUrFgxM

Learning Outcomes

• CLO 1: Analyze the assigned task and solve it by applying critical thinking and problem-solving skills.
• CLO 2: Collaborate and communicate effectively with different professionals in the work environment.
• CLO 3: Communicate effectively through the technical presentation.
• CLO 4: Design solutions with contextual constraints, acquiring and applying new knowledge.
• CLO 5: Recommend solutions for improved processes and optimal use of resources.
• CLO 6: Evaluate career options by considering opportunities in industry and higher education and sharpen the real-time technical/managerial skills required at the job(s) during the internship.
• CLO 7: Demonstrate ethical and professional behavior in the work environment.

EPT3E1 - EPT Major Elective I

EPT431 - Renewable Energy Technology

Course Contents

This course covers theory and experiments on various renewable energy technologies and study of their performance parameters. It describes the impact of using conventional energy sources on the environment. Need for utilization of alternate energy sources is provided. It comprises of fundamentals of solar photovoltaic and solar thermal energy and their applications, environmental characteristics and solar radiation, classification and thermal analysis of solar energy collectors, solar thermal energy storage potential, and hybrid solar plants. The course covers aspects such as the history of wind turbine development and the characteristics of the wind. Also, the impact of site selection, design, manufacture, and operation of modern wind turbines is discussed. An overview of different types of horizontal and vertical axis wind turbines is presented. Introduction to types of biomass, their characterization techniques, and ways of converting it to energy. Also, it contains descriptions and applications of various types of fuel cells. This course also presents the working principle and types of geothermal power plants. It also includes the mechanism of tidal wave energy generation and ways to harness that. A discussion on hydroelectric power and its utilization is provided. The laboratory work consists of experiments illustrating the principles, laws and concepts discussed in the course.

References

• Ehrlich, R., & Geller, H. A. (2018). Renewable energy: a first course. CRC press.
• Kanoğlu, M., Çengel, Y. A., & Cimbala, J. M. (2020). Fundamentals and applications of renewable energy. McGraw-Hill Education.
• “Lecture 20: Introduction to Renewable Energy.” Www.youtube.com, www.youtube.com/watch?v=tfmIk5nGtMU . Accessed 28 Sept. 2022.
• “NPTEL : NOC:Renewable Energy Engineering: Solar, Wind and Biomass Energy Systems (Chemical Engineering).” Digimat.in, digimat.in/nptel/courses/video/103103206/L01.html. Accessed 26 Sept. 2022.
• “Introduction to Renewable Energy.” Solar Energy International (SEI): Solar Training for Clean Energy Careers, www.solarenergy.org/courses/introduction-to-renewable-energy/#:~:text=RE100%20is%20a%20free%20course Accessed 19 Oct. 2022.
• “Renewable Energy.” Coursera, www.coursera.org/specializations/renewable-energy. Accessed 19 Oct. 2022.

Learning Outcomes

• CLO 1: Explain the effect of pollution and global warming due to fossil fuels.
• CLO 2: Illustrate the world’s energy requirements and resources to fulfill it.
• CLO 3: Differentiate between various types of renewable energy resources.
• CLO 4: Relate the renewable energy resources to the location and availability.
• CLO 5: Compare the techniques to harvest electrical energy from renewable resources.
• CLO 6: Demonstrate the working of energy conversion technologies under various test conditions.
• CLO 7: Conduct experiments, interpret data and draw results and conclusions.
• CLO 8: Write lab reports and present results.

Tutorials

• LAB 1: Lab Induction, safety precautions, significant parameters, introduction to instruments, course policies, reports
• LAB 2: Simulation studies on wind energy generator
• LAB 3: Experiments on performance assessment of micro wind energy generator.
• LAB 4: Simulation studies on hybrid (solar wind) power system.
• LAB 5: Experiments on performance assessment of hybrid (solar wind) power system.
• LAB 6: Study the production process of biofuels from jatropha oil.
• LAB 7: Determination of iodine value and flash point of Jatropha biofuel.
• LAB 8: Study the production process of biofuels from waste cooking oil.
• LAB 9: Determination of iodine value and flash point of waste cooking oil biodiesel.
• LAB 10: Study the production process of biofuels from algae.
• LAB 11: Determination of iodine value and flash point of algal biodiesel.
• LAB 12: Study the construction of fuel cell.
• LAB 13: Study the working of hydrogen fuel cell.
• LAB 14: Simulation studies on hydel power.
• LAB 15: Lab Final Exam

EPT441 - Electrical Distribution and Smart Grid Technologies

Course Contents

The smart grid concept has experienced major hype in the past few years. The smart grid knowledge will provide invaluable data on the benefits and cost-effectiveness of the smart grid, including energy and cost savings. Students will learn how to minimize the effects when there is outrage and blackouts using automatic distribution system and to supply power to the essential service like hospitals, banking, and police departments. Students learn how smart grid is used to improve the efficiency of transmission system, quick restoration of electricity, reducing the peak demand in the power curve, integrating with other renewable systems, integrating, and monitoring with customer-owner power generation systems and to improve the security. The objective of this course is to facilitate an understanding of the basic concepts of smart grid technologies. Integrates three areas of electrical engineering: power systems, power electronics, and electric energy conversion systems. The course will also look into the power quality management issues in smart grid and the high-performance computing for smart grid applications like cyber security. This course covers the construction of a power grid system, modeling a micro grid System, modeling of converters in power grid distributed generation systems, smart power grid systems, cyber controlled smart grid, load flow analysis of power grids and micro grids, smart devices and energy efficiency monitoring systems, assignment, reading material will be used to deliver the course.

References

• Ali Keyhani (2019) Design of Smart Power Grid Renewable Energy Systems, 3rd Edition, Wiley
• What is a Smart Grid? What are the Major Smart Grid Technologies? (blackridgeresearch.com)
• Smart grids: electricity networks and the grid in evolution (i-scoop.eu)
• Smart Grid Webinars | Smart grids – driving energy intelligence | Siemens Global

Learning Outcomes

• CLO 1: Analyze and study concepts of developments and technologies in Smart Grid 1. Analyze and study concepts of developments and technologies in Smart Grid.
• CLO 2: Assess models of power grid converters and power quality management in smart Grids.
• CLO 3: Construct and interpret various cloud computing models for smart grid applications in cybersecurity
• CLO 4: Design and operate renewable smart grids using energy management and network analysis

Tutorials

• LAB 1: Study of Standalone Grid Networks
• LAB 2: Controlling generator in OFF-Grid network
• LABK 3: Monitoring of Power consumption and generation in OFF-GRID.
• LAB 4: Use of modern information technology like network sensors, actuators, PLC, and SCADA interfaces,
• LAB 5: Smart metering.
• LAB 6: Study of Micro grids
• LAB 7: Control of Generators using Stand Alone system
• LAB 8: Control of multiple generators in parallel operating mode
• LAB 9: Reduction of transmission and transformer losses using Microgrid
• LAB 10: Power generation with Photovoltaic system
• LAB 11: Power generation with Wind Energy
• LAB 12: Optimum electrical power quality, reliability and sustainability using Microgrid.
• LAB 13: Intelligent control of Power supply using SCADA systems
• LAB 14: Manual, Voltage and Frequency control
• LAB 15: Intelligent Energy management using Smart Grid.

EPT442 - Electrical Transmission Systems

Course Contents

A new technology based on power electronics and offers an opportunity to enhance controllability, stability, and power transfer capability of AC transmission systems. This course also deals with reducing the harmonics introduced in the transmission system due to the power electronic devices. This includes the study of filters which are used to reduce noise. It uses microcontroller-based monitoring system for automatic tap changing using servo or stepper motor mechanisms. This also includes the alarming technique at threshold levels and also study of automatic voltage stabilizers in power system network. The students will familiarize themselves with the principles of this advanced system which can give them a better understanding of its working in the power industry. This will also enhance expertise in equipment specifications and engineering design, offering an informed view of the future of power electronics in AC transmission. This course covers the FACTS concept and general system considerations, voltage-sourced converters, self -commutated current-sourced converters, line-commutated current-sourced converters, self- and line-commutated current-sourced converters, static series compensators: GCSC, TSSC, TCSC, and SSS, voltage and phase angle regulators: TCVR and TCPAR, combined compensators: Unified Power Flow Controller (UPFC) and Interline Power Flow Controller (IPFC) . This also includes the study of types of SVC like thyristor switched reactor, thyristor Capacitor and thyristor-controlled reactors.

References

• Narain, G. Hingorani. (2011). Understanding FACTS-Concepts and Technology of Flexible AC Transmission Systems, WILEY INDIA
• Why is a Flexible AC Transmission System Needed: Types of FACTs (elprocus.com)
• Flexible AC Transmission Systems - an overview | ScienceDirect Topics
• Flexible AC transmission systems (FACTS) | Portfolio | Siemens Energy Global (siemens-energy.com)
• FACTS - Flexible AC Transmission System - Controllers & Devices (electricaltechnology.org)

Learning Outcomes

• CLO 1: Design and analyze FACTS controller for power system application
• CLO 2:.Evaluate the steady state and transient responses for FACTS controllers
• CLO 3: Assess FACTS controllers using SVC, STATCOM, TCSC, SSSC, UPFC and IPFC.
• CLO 4: Design voltage-sourced and current-sourced converters using power devices.

Tutorials

• LAB 1: Study of the characteristics of Voltage Regulation
• LAB 2: Study of Voltage Compensation
• LAB 3: Experiment on the Power transmission capacity and the compensation of Long AC transmission lines.
• LAB 4: Experiment to control the active and real power flow in transmission lines.
• LAB 5: Experiment to display the power factor in thyristor three phase bridges and study the operation of HVDC transmission systems
• LAB 6: Commutation failure at the Inverter bridge.
• LAB 7: Thyristor 12 pulse converter for harmonic reduction. LAB 8: Study of Static Var Compensator to control the power flow.
• LAB 9: Experiment on voltage compensation using SVC.
• LAB 10: Experiment on Voltage compensation and power factor correction using STATCOM.
• LAB 11: Implementation of TCR and TSC for SVC operation.

EPT443 - Energy Management

Course Contents

Energy management is very crucial in today’s scenario when global energy demand is surging and the supply to meet these demands are limited. This course comprises of fundamentals of energy and types of energy that can be harnessed for various applications. Also, principle of energy management and energy conservation for suitable utilization is discussed. It also includes discussion on importance of energy audit and its mechanism. The various types of energy audit techniques are also vividly discussed. The tools and methodology used to in each type of energy audit are explained. It also discusses the methodology and techniques of evaluating energy performance. The benchmarking methods of energy performance evaluation against international standards is also presented. Data collection and analysis mechanism is presented to perform optimum energy management. The instruments used for energy audits and materials required are discussed. Significance of process flow chart for energy auditing and its preparation techniques are also discussed. Types of energy management systems are presented. An overview of their targeting and monitoring method is presented. Thermal, electrical, and building energy management is also discussed. Discussion on life cycle cost (LCC) and life cycle assessment (LCA) is also presented. Economic analysis and project planning techniques are also presented.

References

• Kumar, A., Prakash, O., & Chauhan, P. S. (2020). Energy management: Conservation and audits. CRC Press.
• “Lecture-1 Introduction to Energy Management and Audit.” Www.youtube.com, www.youtube.com/watch?v=WwBquDjDGOA. Accessed 28 Sept. 2022.
• NPTEL :: Electrical Engineering - Energy Management Systems and SCADA.” Archive.nptel.ac.in, archive.nptel.ac.in/courses/108/106/108106022/. Accessed 26 Sept. 2022.
• “Free Online Training - My Energy University.” Www.se.com, www.se.com/au/en/work/services/training/energy-university/energy-university-free-online-training.jsp. Accessed 19 Oct. 2022.
• “Introduction to Energy Management Powered by RETScreen.” EdX, www.edx.org/course/energy-management-powered-by-retscreen. Accessed 19 Oct. 2022.
• Kini, P. Giridhar. Energy Management Systems. Www.intechopen.com, 1 Aug. 2011, www.intechopen.com/books/214. Accessed 19 Oct. 2022.

Learning Outcomes

• CLO 1: Compare the types of energy management systems for energy economy and conservation.
• CLO 2: Assess energy performance using acquired data to optimize energy usage.
• CLO 3: Create energy balance sheets for appropriate management of energy.
• CLO 4: Formulate strategies for energy conservation, working in teams.

EPT444 - Industerial Networks

Course Contents

This Learning Module covers the following law, principle, rule: Concept of distributed control and networks. Control panels and advanced mimic diagrams. SCADA systems and security. PLC networks. Master / slave control.Field bus techniques. Electrical diagrams for network installation. Examples of industrial networks. Industrial data communications. Industrial communication protocols. Fibre optics. TCP/IP and Ethernet networks. Radio & Telemetry Systems for Industry. Local area networks. Mobile Radio Systems for Industry. Network management and standards. Risk and assessment analysis. Safety factors in networks operations. WLANs IEEE 802.11. WiMax IEEE 802.16.Networks and safety issues.

Learning Outcomes

• CLO 1: Identify the hardware and software components in the industrial network.
• CLO 2: Recognize the control solution using PLC network.
• CLO 3: Apply the concept of advanced automation using field bus.
• CLO 4: Apply the communication protocols for industrial networks.
• CLO 5: Recognize the security requirements for industrial networks.

EPT451 - Operation and control of Power Systems

Course Contents

Types of power plants, Modeling of economic operation for power plants (thermal and hydro), Economic dispatch in power systems, Unit commitment problem, Hydro-thermal coordination, Supervisory and control functions, Automatic load frequency Control (ALFC) in Single area and multi area systems models, Automatic Voltage Regulators (AVR) Modeling and control.

References

• https://www.engineeringonline.ncsu.edu/course/ece-550-power-system-operation-and-control/

Learning Outcomes

• CLO 1: Develop equivalent circuits for a given power system for power flow analysis,
• CLO 2: Develop computer programs to perform power flow analysis on a power system,
• CLO 3: Define automatic generation control scheme on a power system and analyze generation control on a power system using simulation tools,
• CLO 4: Define generation dispatching on a power system and develop generation dispatching schemes using analysis packages,
• CLO 5: Define real time monitoring requirements on a power system,
• CLO 6: Define State Estimation problem and analyze state estimation of a power system using analysis programs,
• CLO 7: Define contingency analysis on a power system and perform contingency studies using a power flow analysis program.

EPT452 - Power System Protection & Switchgear

Course Contents

The functioning of a power system depends significantly on efficient and reliable protection schemes and learning the principles of electric fault detection is necessary to minimize damage, repair costs, and human casualties. The power system consists of transformer, generators, transmission, and distribution lines which can cause damage if proper protection equipment like relays and circuit breakers is not provided. This course examines the protection of power system scenarios with various protection relays and studies the various types of circuit breakers. This course covers the protection system and its attributes, system transducers, duties of switchgear, various power system elements that needs protection; types, ratings and characteristics, construction, and application of HRC fuses, limitations and application of fuses, Introduction to MCBs; theory of arc formation and its extinction (AC and DC); re-striking and recovery voltage. The topics include current chopping, circuit breakers: specifications of circuit breakers, different types of circuit breakers like oil, air, vacuum and SF6, earthing requirements, earthing practices, earth resistivity and earth gradient, neutral shift, functions, constructional and operating principles of electromagnetic type like over-current, directional, differential and distance relays, characteristics, general equation. The student learns basic principles of static relaying, phase and amplitude comparator, differential protection, transformer protection, bus bar protection, generator protection, and induction motor protection. This course provides Lectures, theoretical assignments, and presentations.

References

• Badri, R. (2017). Power System Protection and Switchgear, (2nd edition) McGraw Hill Education.
• https://nptel.ac.in/courses/108104048
• https://cds.cern.ch/record/1005044/files/p113.pdf
• https://www.mv.helsinki.fi/home/tpaulin/Text/hveng.pdf

Learning Outcomes

• CLO 1: Design power system protection using fuses, relays, and circuit breakers.
• CLO 2: Select fuses, circuit breakers and relays of correct specifications
• CLO 3: Design the earthing circuit for residential and industrial complexes
• CLO 4: Evaluate the given specifications of power system protection devices used with a transmission line against overcurrent and overvoltage.
• CLO 5: Design suitable protection scheme for given industrial power system equipment and present, working in teams.

Tutorials

• WEEK 1: Study of Overcurrent protection
• WEEK 2: Experiment on Relay based on current and Time settings
• WEEK 3: Characteristics of three phase differential protection.
• WEEK 4: Study of Distance protection relays
• WEEK 5: Phase and Ground distance protection
• WEEK 6: Direction and Non-Directional phase over current protection.
• WEEK 7: Direction and Non-Directional Earth fault protection.
• WEEK 8: Experiment on Thermal overload protection
• WEEK 9: Experiment on Numerical differential protection relay.
• WEEK 10: Experiment on Reverse power protection relay.
• WEEK 11: Differential protection of generators using electrostatic relays
• WEEK 12: Experiment of feeder management relays.
• WEEK 13: Experiment to demonstrate over current relays in parallel feeder
• WEEK 14: Numerical relays for protection of three phase induction motors.
• WEEK 15: Differential protection of transformer using Numerical relays.

EPT453 - Selected Topic in Electrical Power I

EPT454 - Electrical Drives Systems

Course Contents

Dynamics of Electric Drives, Fundamental torque equations, speed-torque conventions and multi-quadrant operation, Nature and classification of load torques, steadystate stability, load equalization, close loop configurations of drives. DC Drives: Speed torque curves, torque and power limitation in armature voltage and field control, Starting, Braking: Regenerative Braking, dynamic braking and plugging. Speed Control-Controlled Rectifier fed DC drives, Chopper Controlled DC drives. Induction Motor Drives: Starting, Braking- Regenerative braking, plugging and dynamic braking.Speed Control: Stator voltage control, variable frequency control from voltage source, Voltage Source Inverter (VSI) Control. Cycloconverter Control, Static rotor resistance control, Slip Power Recovery- Stator Scherbius drive, Static Kramer drive. Synchronous Motor Drive:Control of Synchronous Motor-Separately Controlled and VSI fed Self-Controlled Synchronous Motor Drives.

Learning Outcomes

• CLO 1. Be able to model and analyse the basic principles and operation of DC drives.
• CLO 2. Be able to model and analyse the principles and operation of AC drives.
• CLO 3. Be able to apply different problem solving techniques for DC and AC drives applications.
• CLO 4. Be able to differentiate between drive faults, motor faults and power faults.
• CLO 5. Be able to correctly configure, operate and monitor drive systems.
• CLO 6. Be able to determine and analyse speed-time curves for a variety of applications.