Electrical engineering has made itself felt in every sphere of life. The modern era features electronic data storage, retrieval, manipulation, and high-speed computing and communications based on high-density integrated circuits. Modern wireless and optical communications would never have been possible without a fundamental understanding of the generation, propagation, and detection of the electromagnetic and optical waves. The rapid technological advancements is pushing the academia to prepare graduates for a career in the pervasive disciplines of electrical and electronics including information handling, aspects of telecommunications.
Program Mission: To bring forward electrical engineers with strong technical knowledge, high ethical values, and good managerial capabilities to address the socio-economic challenges in their career.
Program Educational Objectives (PEOs)
BS Electrical Engineering Graduates will demonstrate;
Course Curriculum
MS Electrical Engineering
The curriculum for the MS degree Programme is based on the following considerations:
Duration of the Degree Programme
Total duration: Two (2) academic years
System of Study
System: Semester System.
Total number of semesters: Four (4)
Duration of a semester: Sixteen (16) weeks of instruction
Plus one (1) to two (2) weeks for examinations
Definition of Credit Hour
The term "Credit Hour (CH)" refers to a unit of academic credit during a semester. Each credit hour is related to a one or more "Contact hours per week" according to subject type.
Credit Hours Requirement for Undergraduate Degree
Total number of Credit Hours: 30
MSEE (2 Years Program)
The 30 credit hour MSEE program is concerned with efficient contributions to emerging industry standards and development of competitive knowledge of Engineering.
Important motivations like collaboration between circuits and power systems as well as the design of intelligent power networks, where signal processing and communication advancement is applied to efficient energy distribution, are some clear advantages.
The combination of devices, circuits, systems and algorithms, applied to power systems, gives to EE a consistent front of interlaced technologies. The major fields of specialization are Telecommunication, Power Systems, Computer & Electronics Design and Automation & Control systems.
Eligibility Criteria:
* Bachelor of Science in Electrical Engineering or related disciplines from an accredited institution with Minimum 50% marks or CGPA of minimum 2.0 (on a scale of 4.0) in BS (Electrical Engineering )
* Graduates from other engineering disciplines or 16-year degree in Computer Science, Electronics, Physics 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.
Selection Criteria:
Admission based on any of following entrance examination
1. GRE General
2. NTS (GAT General)
3. MY University Entry Test
Merit Formula:
MS (EE) Specializations:
MS in Electrical Engineering includes the following specializations or major areas:
Degree Requirements:
Course Guidelines:
Communication Systems and Networks
The MS in Communication Systems and Networks aims to provide students with a sound background in techniques and issues of modern communication system particularly the wireless and internet communications. It derives its uniqueness from the research activities of the communication and signal processing research groups of the department of Electrical; providing students with a complete picture of modern communication technology as well as a thorough theoretical and practical knowledge of radio communication techniques, signal processing, network protocols, and the design and optimization of communication networks.
MS research thesis/projects cover a range of applications in areas of:
Control System & Automation:
The MS in 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. This course covers all the major disciplines in automation and control. It includes a thorough analysis of advanced control systems, industrial automation technologies, systems integration, distributed control systems and field bus protocols. This course provides an ideal platform to begin a career as a design or development engineer in control and automated systems.
Advance Electronics:
Teaching and research program in Advanced Electronics as part of its Electronic/Electrical Engineering degree is devised in order to develop the desirable human resource in the broader areas of Advanced Electronics & PV Engineering. This MS/PhD degree in Electrical Engineering (stream of specialization in Advanced Electronics) running in the Faculty of Engineering and Technology is fully utilized and optimized to cater the Centre’s academic needs. Details of some of the courses that these experimental facilities are linked with are listed below:
Power Systems:
The MS in power system engineering aims to provide students with theoretical and practical skills to become a design and development engineer in the area of electrical power engineering. Throughout the program students shall be exposed to industry standard computer aided software design tool and packages such as Magnet, MATLAB, Simulink, PSpice and ERACS to afford them a more hands on approach that shall leave them more attractive for prospective employers. The course develops a sound knowledge in the key subject areas of:
MSEE 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.
Semester Roadmap for MSEE (MS By Research)
Semester 1
|
i. |
Stochastic Process (Core-I) |
|
ii. |
Core – II |
|
iii. |
Elective – I |
Semester 2
|
i. |
Core-III |
|
ii. |
Core – IV |
|
iii. |
Research Methodology |
Semester 3
|
i. |
Elective – II |
|
ii. |
Thesis I |
Semester 4
|
i. |
Elective – III |
|
ii. |
Thesis II |
Semester Roadmap for MSEE (MS By Coursework)
Semester 1
|
i. |
Stochastic Process (Core-I) |
|
ii. |
Core – II |
|
iii. |
Elective – I |
Semester 2
|
i. |
Core-III |
|
ii. |
Core – IV |
|
iii. |
Elective – II (University Requirement) |
Semester 3
|
i. |
Elective – III |
|
ii. |
Elective – IV |
Semester 4
|
i. |
Elective – V |
|
ii. |
Elective – VI |
LIST OF COURSES
The Core and Elective courses of all three specializations are listed below. It is mandatory to pass all the core courses mentioned in the roadmap and offered for respective domain.
Communication Systems and Networks
Core Courses
|
Sr. No. |
Course Code |
Core Course Title |
Credit Hours |
|
1. |
EEN-510 |
Stochastic Processes |
3 |
|
2. |
EET-555 |
Wireless and Mobile Communications |
3 |
|
3. |
EEN-712 |
Advanced Digital Communications Systems |
3 |
|
4. |
EET-762 |
Communication Networks Architecture & Protocols |
3 |
List of Elective Courses
|
Sr. No. |
Course Code |
Course Title |
Credit Hours |
|
1. |
EET-766 |
RF System Engineering and Design |
3 |
|
2. |
EET-750 |
Antennas Theory, Design and Applications |
3 |
|
3. |
EET-447 |
Radar Systems |
3 |
|
4. |
EET-449 |
Satellite Communications |
3 |
|
5. |
EET-755 |
Wireless Communication Techniques |
3 |
|
6. |
EEN-740 |
Embedded System Design for Telecommunications |
3 |
|
7. |
EET-756 |
Telecommunication Switching Systems |
3 |
|
8. |
EET-560 |
Telecommunication Network Management |
3 |
|
9. |
EET-706 |
Advanced Optical Fiber Networks |
3 |
|
10. |
EET-725 |
Advanced Routing and Switching |
3 |
|
11. |
EET-726 |
Advanced Internet Technologies |
3 |
|
12. |
EET-723 |
Optimization Techniques |
3 |
|
13. |
EET-850 |
Wireless Sensor Networks |
3 |
|
14. |
EET-713 |
Advanced Network Design |
3 |
|
15. |
EET-757 |
Mobile Computing |
3 |
|
16. |
EET-552 |
Multimedia Networking |
3 |
|
17. |
EET-702 |
Advanced Network Security |
3 |
|
18. |
CEN-745 |
Advanced Digital Image Processing |
3 |
|
19. |
ESC-716 |
Advanced Topics in Wireless &Networking |
3 |
|
20. |
ESC-501 |
Research Methodology (University Requirement) |
3 |
|
21. |
EET-553 |
Information Theory and Coding |
3 |
|
22. |
EEN-725 |
Advanced Digital Signal Processing |
3 |
|
23. |
EET-727 |
Cognitive Cooperative Networks |
3 |
Control System & Automation
Core Courses
|
Sr. No. |
Course Code |
Core Course Title |
Credit Hours |
|
1. |
EEN-510 |
Stochastic Systems |
3 |
|
2. |
EEN-524 |
Linear System Theory |
3 |
|
3. |
EEN-726 |
Modern Control Theory |
3 |
|
4. |
EEN-725 |
Advanced Digital Signal Processing |
3 |
Elective Courses
|
Sr. No. |
Course Code |
Elective Course Title |
Credit Hours |
|
1. |
EEP-712 |
Sliding Mode Control |
3 |
|
2. |
EEA-713 |
Robust Multivariable Control system |
3 |
|
3. |
EEN-523 |
Electronic Instruments |
3 |
|
4. |
CEN-507 |
Embedded Control System |
3 |
|
5. |
EEN-509 |
Non-Linear Control Systems |
3 |
|
6. |
EEN-506 |
Solid State Devices |
3 |
|
7. |
CEN-508 |
Distributed Control Systems |
3 |
|
8. |
CEN-758 |
Robotics and Intelligent sensors |
3 |
|
9. |
CSC-749 |
Fuzzy Logic and Intelligent Control Systems |
3 |
|
10. |
EEA-540 |
Mechatronics |
3 |
|
11. |
CEN-722 |
Advanced Interfacing Techniques |
3 |
|
12. |
EEA-741 |
Advanced Topic in Industrial Automation |
3 |
|
13. |
EEA-702 |
Advanced Topic in Control Systems |
3 |
|
14. |
CEN-745 |
Advanced Image Processing |
3 |
|
15. |
ESC-501 |
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