1. Mission Statement

The mission of the Electrical Engineering Department is to provide quality education to prepare students who will play a significant role in shaping the future high technology environment, and to provide knowledge and skills to foster lifelong learning.

2. Program Objectives

The objectives of the Master of Science in Electrical Engineering Program are to enhance the students’ ability to be successful and advance in their chosen careers in industry, academia, and public institution, and to make significant contributions to the field of electrical engineering. 

The above objectives are achieved by providing the students:

• Advanced knowledge and skills of EE subjects and practices based upon advanced knowledge of mathematics, including in-depth knowledge in at least one area of EE, so as to maintain high employability, and an ability to adapt to, develop and apply new technology
• Enhanced foundation for enduring learning
• Improved communication skills.

3. Eligibility: 

• Bachelor of Science in Electrical Engineering or related disciplines such as: Electrical Power Engineering, Electronics Engineering, Communications or Telecommunications Engineering, and Computer Engineering or equivalent from an accredited institution with minimum CGPA of 2.5 out of 4.0.
• Graduates from other engineering disciplines may be eligible for this program, subject to passing the prerequisite courses with minimum GPA of 3.0 out of 4.0 in each course, as recommended by the departmental graduate committee at admission time.
• Graduates with a 16-year degree in Computer Science, Electronics, Physic or any related discipline may be eligible for this program, subject to passing the prerequisite courses with minimum GPA 3.0 of 4.0 in each course, as recommended by the departmental graduate committee at admission time.

4. Duration of the Program: 

The duration of studies for MS Electrical Engineering shall not be less than two years and not more than 3 years. 

5. Specializations: 

MS in Electrical Engineering (MSEE) includes the following specializations or major areas:

• Automation and Control
• Computer and Digital Systems
• Power Systems
• Telecommunications
 

NOTE: The department reserves the right to not offer a specialization if there aren’t sufficient students for that particular specialization at the time of admission. The students will be informed about the decision at the time of admission.

5.1 Automation and Control:

The automation and control specialization aims to provide the graduates with sound engineering knowledge and broad professional skills to design, develop, implement, manage and supervise automation systems for different engineering applications.

5.2 Computer and Digital Systems:

Computer and Digital Systems specialization deals with the design, development, testing, and evaluation of components, systems, and networks. Research in Computer Engineering strives to achieve higher performance in the systems and components that are built as well as in the design process. The goal of this research area is to develop a comprehensive understanding of the hardware and software technologies used in computing systems.

5.3 Power Systems:

The power system engineering program actively pursues research in the areas of system reliability and performance modeling and prediction, system protection and automation, system control and stability, large-scale system computational methodologies and power electronics. The program will also focus on the renewable energy options available, and would also give a chance of research in the non-conventional energy methods.

5.4 Telecommunications:

Research in telecommunications is concerned with efficient representation, storage, transmission, processing, routing and reception of information from a wide variety of sources. The range in research will be from the highly-mathematical, to applied algorithm design, experimental prototyping, and contributions to emerging industry standards. In signal processing, the research will span a wide range of areas of signal processing including signal processing for communications , speech processing for recognition and synthesis, multimedia signal processing and compression, medical imaging, optical information processing, array/distributed/collaborative signal processing, immersive audio, speech processing for recognition and synthesis, and other multimedia related technologies such as content-based representation and retrieval.

6. MS Program Requirements and Structure:

The MS Electrical Engineering program requirement is 30 credit hours. The students have two options to complete their degree, Thesis and Non-Thesis. 

• Thesis Option:The requirement is minimum 24 credit hours of course work and 06 credit hours of thesis involving research work.
 
• Non-Thesis Option:The requirement is minimum 30 credit hours of course work.
 

A student may complete 30 credit hours of course work and also complete 06 credit hours of MS Thesis. In such cases, additional course work will be considered as non-credit. A student, who registers for thesis, may still choose to complete degree requirements through course work option only by taking additional courses with the approval of the departmental graduate committee. The student will be eligible for the award of the degree whenever he/she completes the program requirements through any of the options as specified above.

7. Core Courses

The core courses for all the three specializations are listed below. All the registered students have to pass all the core courses of their respective domain.

7.1 Automation and Control

Sr. No.	Course Code	Core Course Title	Credit Hours
1.	EEN501	Stochastic Systems	3
2.	EEN502	Information Systems	3
3.	EEN503	Advanced Digital Signal Processing	3
4.	EEA511	Electronic Design and Analysis	3
5.	EEA512	Modern Control Theory	3

 

7.2 Computer and Digital Systems

Sr. No.	Course Code	Core Course Title	Credit Hours
1.	EEN501	Stochastic Systems	3
2.	EEN502	Information Systems	3
3.	EEC531	Advanced Computer Architecture	3
4.	EEC532	Advanced Digital System Design	3
5.	EEC533	Embedded Systems	3

 

7.3 Power Systems

Sr. No.	Course Code	Core Course Title	Credit Hours
1.	EEN501	Stochastic Systems	3
2.	EEP551	Renewable Energy	3
3.	EEP552	Advanced Power System Operation and Control	3
4.	EEP553	Power Transmission and Distribution	3
5.	EEP554	Power Generation and Plant Operation	3

 

7.4 Telecommunications

Sr. No.	Course Code	Core Course Title	Credit Hours
1.	EEN501	Stochastic Systems	3
2.	EEN503	Advanced Digital Signal Processing	3
3.	EET571	Information Theory and Coding	3
4.	EET572	Digital Communications Systems	3
5.	EET573	Wireless and Mobile Communications	3

 

8. Elective Courses

The elective courses for all the four specializations are listed below. The students opting Thesis option have to choose 3 courses, while the students following Non-Thesis option have to complete 5 courses. The students can choose maximum of 2 courses from other domains, which requires prior permission from the departmental graduate committee.

The elective course offering in each semester is discretion of the department.

8.1 Automation and Control

Sr. No.	Course Code	Elective Course Title	Credit Hours
1.	EEA513	Robust Multivariable Control system	3
2.	EEA514	Electronic Instruments	3
3.	EEA515	Embedded Control System	3
4.	EEA516	Non-Linear Control Systems	3
5.	EEA517	Distributed Control Systems	3
6.	EEA518	Mechatronics	3
7.	EEA611	Advanced Power Electronics	3
8.	EEA612	Robotics and Intelligent sensors	3
9.	EEA613	Fuzzy Logic and Intelligent Electronics Control Systems	3
10.	EEA614	Advanced Interfacing Techniques	3
11.	EEA615	Advanced Topics in Industrial Automation	3
12.	EEN504	Research Methodologies	3
13.	EEN505	Solid State Devices	3

 

8.2 Computer and Digital Systems

Sr. No.	Course Code	Elective Course Title	Credit Hours
1.	EEC534	ASIC and FPGA Design	3
2.	EEC535	Advanced Operating Systems	3
3.	EEC536	Parallel Processing Computer Systems	3
4.	EEC537	VLSI System Design	3
5.	EEC538	Real Time Computer Systems	3
6.	EEC539	DSP Hardware Systems Design	3
7.	EEC540	DSP Software Systems Design	3
8.	EEC541	Design of Real Time Embedded Systems	3
9.	EEC542	Microprocessor/Microcontroller Based Systems	3
10.	EEC543	Compiler Design	3
11.	EEC544	Embedded Software and RTOS	3
12.	EEC545	Embedded Computing Systems	3
13.	EEC546	Real Time Computer Systems	3
14.	EEC631	Advanced Topics in Control Systems	3
15.	EEC632	Advanced Topics in Information Systems	3
16.	EEC633	Advanced Microprocessor Systems	3
17.	EEN504	Research Methodologies	3

 

8.3 Power Systems

Sr. No.	Course Code	Elective Course Title	Credit Hours
1.	EEP555	Power Transmission and Distribution	3
2.	EEP556	High Voltage Engineering Design	3
3.	EEP557	Smart Grid System Operation	3
4.	EEP558	Power Electronics Design	3
5.	EEP559	Design of Electrical Machines	3
6.	EEP560	Hydel Power Generation	3
7.	EEP561	Integration of Distributed Generation	3
8.	EEP562	Power System Reliability	3
9.	EEP654	Advanced Topics in Power Systems Engineering	3
10.	EEP563	Non Conventional Energy Systems	3
11.	EEP564	Renewable Energy Technologies	3
12.	EEP565	Photovoltaic System Design	3
13.	EEP566	Solar Power Generation	3
14.	EEP567	Wind Power Generation	3
15.	EEP568	Sustainable Energy Systems	3
16.	EEP651	Advanced Power System Analysis	3
17.	EEP652	Advanced Power System Planning	3
18.	EEP653	Advanced Power System Protection	3
19.	EEP654	Hybrid Power Systems	3
20.	EEP655	Advanced Topics in Renewable Energy	3
21.	EEP656	Thermal and Nuclear Power Generation	3
22.	EEP657	Computer Methods in Power Systems	3
23.	EEP658	Insulation Co-ordination in Power Systems	3
24	EEP659	Advanced Power Electronics	3
25.	EEN504	Research Methodologies	3
26.	EEN505	Solid State Devices	3

 

8.4 Telecommunications

Sr. No.	Course Code	Course Title	Credit Hours
1.	EET574	Radio and Microwave Engineering	3
2.	EET575	Radar Systems	3
3.	EET576	Satellite Communications	3
4.	EET577	Telecommunication Transmission and Switching Systems	3
5.	EET578	Telecommunication Network Management	3
6.	EET579	Optical Fiber Communications	3
7.	EET580	Mobile Cellular Systems and Standards	3
8.	EET581	Wireless LANs	3
9.	EET583	Wireless Sensor Networks	3
10.	EET584	Software for Network Services	3
11.	EET585	Mobile Computing	3
12.	EET586	Multimedia Networking	3
13.	EET671	Antennas Theory, Design and Applications	3
14.	EET672	Advanced Wireless Networks	3
15.	EET673	Embedded System Design for Telecommunications	3
16.	EET674	Communication System Design and Analysis	3
17.	EET675	Communication Networks Architectures and Protocols	3
18.	EET676	Queuing Theory for Performance Modeling	3
19.	EET677	QoS Architectures for Multimedia Wireless Networks	3
20.	EET678	Advanced Mobile Communication Systems	3
21.	EET679	Digital Image Processing	3
22.	EEN504	Research Methodologies	3

 

9.Semester Roadmap for MSEE

Semester – I

1.	EEN501	Stochastic Systems (Core-I)
2.		Core – II
3.		Elective – I

Semester – II

1.		Core-III
2.		Core – IV
3.		Elective - II

Semester – III

1.		Core – V
2.		Elective – III
3.		Elective – IV / Thesis

Semester – IV

1.

Elective – V / Thesis

10. MSEE Course Description

EEN501 Stochastic Systems:The course is a core course for all the specializations offered in MS Electrical Engineering program. The course covers the theory and application of probability and stochastic / random processes to problem solving with special emphasis on applications of stochastic processes in Electrical Engineering problems. The course serves as a pre-requisite for advanced courses in the communications and control system courses.

EEN502 Information System:This course will enable the students to participate in information systems development as an informed person.  Information systems focuses on the design, specification, and creation of information systems, and on the human and organizational arrangements needed to use information systems to achieve organizational goals.

EEN504 Research Methodologies:This course is designed for MS/ MS leading to PhD students. It helps the students to conduct their scientific research in a proper and structured way. The course contents covered in the course include: Research Process, Choosing Your Supervisor (s), Reviewing Literature, Formulating a Research Problem, The Research Design, Problem Formulation and Modeling, Establishing the Validity and Reliability of a Research Bench/ Simulator, Research Proposal, Ethical and Confidentiality Issues in the research, Writing a Research Report/ Thesis/ Dissertation/ Research Paper etc.

EEA511 Electronic Design and Analysis: This course will give the initial knowledge and training of design and development electronic system. The course contents include: Analysis and design of analog integrated circuits, Single transistor amplifiers, Current sources and mirrors, current and voltage references, operational amplifiers, feedback theory and stability, noise analysis, oscillators, S/H circuits and comparators.

EEA512 Modern Control Theory:The aim of the course is to provide the students an understanding of Linear System Models, their analysis and design compensators and regulators for different linear applications. The topics to be covered in the course include: State variables and state space description, Vector and linear vector spaces, Linear Transformations, Singular Value Decomposition, Vector & Induced Matrix Norms, General Solution of LTI State Equations, The Lyapunov Theorem, Stability of LTV Systems, Controllability & Observability, Canonical Decomposition, Minimal Realizations, Coprimeness, Coprime Fractions, State Feedback & State Estimator, Separation Principle, Compensator Design.

EEN503 Advanced Digital Signal Processing:This course will provide the knowledge of advanced DSP applications, e.g. advanced digital filter design, multirate signal processing, adaptive signal processing etc. The course contents include: DSP implementation, Advanced digital filter design, Multirate digital signal processing, Adaptive filter theory, FFT applications, Power spectrum estimation, DSP applications, e.g. Speech / Image processing.

EEC531 Advanced Computer Architecture: The course provides an introduction to advanced principles and current practices in computer architecture. It covers topics such as instruction set design, principles of scalable performance, pipelining, hardware and software methods for exploiting parallelism, compilers and code optimization, memory hierarchies, virtual memory, and input/output systems.

EEC532 Advanced Digital System Design: This course covers topics in the advanced design and analysis of digital circuits with HDL. The primary goal is to provide in depth understanding of logic and system design, synthesis, and optimization for area, speed and power consumption. The course enables students to apply their knowledge for the design of advanced digital hardware systems with corresponding EDA tools.

EEC533 Embedded Systems: The course is designed to teach students all aspects of the design and development of an embedded system, including hardware and embedded software development. The course utilizes and applies the skills and knowledge students have gained throughout their prior undergraduate curriculum. The course contents include ISA design, real time task scheduling, scheduling algorithms, resource sharing in RT tasks, real time communications, hardware accelerators, device drivers, and system on chip.

EEP551 Renewable Energy:The course content includes: energy technology, renewable energy in a sustainable future, the physics and science behind climate change, and why renewable energy is necessary for the future. Students will understand different types of renewable energy technology, how they work, their advantages, disadvantages, and limitations.The types of renewable energy and technology studied include: wind energy, solar (thermal and photovoltaic), hydro-electric, bio-energy, tidal power, wave energy, geothermal energy, ocean thermal, fuel cells, heat pump systems, and high voltage DC energy transport.  The availability and integration of these energy types and technologies are also studied to understand how renewables can work as a compliment to and replacement for conventional technologies.

EEP552 Advanced Power System Operation and Control: The course is designed to provide the higher level knowledge of operation and control of the sophisticated power systems. The topics to be covered in the course include: Power Stations, Substation Layout, Load Dispatch Centre, Power System Operation, Power System Control, Load Management, Computers & Microprocessors, Computer Oriented Power System, Operation Studies, Power Line Carrier Communication, Power System Protection,   HVDC Systems, Video Sessions and field visits.

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