Curriculum for M.Sc./Ph.D. in Electrical Engineering | |||||||||||
Two options for M.Sc. in Electrical Engineering, each with total credit hours of 30, are being offered: | |||||||||||
(a) Thesis Option: 8 Subjects (24 credit hours) + Research Thesis (6 credit hours) | |||||||||||
(b) Non-Thesis Option: 10 Subjects (30 credit hours)
(Only for programs offered on weekend) Note: All courses are 3(3+0) credit hours each unless otherwise specified. |
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Course Code and Title | |||||||||||
EE-502 | Stochastic Processes | ||||||||||
EE-503 | Linear Systems Theory | ||||||||||
EE-506 | Engineering Mathematics | ||||||||||
EE-510 | Advanced Computer Architecture | ||||||||||
EE-511 | Advanced Computer Networks | ||||||||||
EE-512 | Machine Learning | ||||||||||
EE-516 | Image and Video Processing | ||||||||||
EE-517 | Design and Analysis of Algorithms | ||||||||||
EE-519 | Cybersecurity | ||||||||||
EE-520 | Wireless and Mobile Communications | ||||||||||
EE-521 | Information and Coding Theory | ||||||||||
EE-522 | Statistical Signal Processing | ||||||||||
EE-524 | Optical Communications | ||||||||||
EE-525 | Advanced Electromagnetic Theory | ||||||||||
EE-527 | Advanced VLSI System Design | ||||||||||
EE-528 | Antenna Theory and Design | ||||||||||
EE-529 | Advanced Microwave Circuits | ||||||||||
EE-530 | Power Electronics Converters | ||||||||||
EE-535 | Control of Electric Machines Drives | ||||||||||
EE-541 | Power System Dynamics and Stability | ||||||||||
EE-547 | Advanced Power Electronics | ||||||||||
EE-549 | High Voltage DC and Flexible AC Transmission | ||||||||||
EE-550 | Deep Learning | ||||||||||
EE-551 | Control of Power Equipment (2+1) | ||||||||||
EE-552 | Power Plant Dynamics (2+1) | ||||||||||
EE-553 | Power System Operation and Control (2+1) | ||||||||||
EE-554 | Advanced Power System Maintenance (2+1) | ||||||||||
EE-555 | Condition Monitoring of Equipment (2+1) | ||||||||||
EE-556 | Project Contract Management | ||||||||||
EE-557 | Environment Health and Safety | ||||||||||
EE-558 | Digital Control Systems (2+1) | ||||||||||
EE-559 | Instrumentation and Sensors (2+1) | ||||||||||
EE-561 | Array Signal Processing | ||||||||||
EE-562 | Adaptive Array Processing | ||||||||||
EE-563 | Micro-Electro-Mechanical-Systems (MEMS) | ||||||||||
EE-570 | Power System Transients and Insulation Coordination | ||||||||||
EE-571 | Power Inverters | ||||||||||
EE-572 | Smart Grids and Renewable Energy Systems | ||||||||||
EE-599 | Special Topics in Computer, Electronics & Communications, Power Systems | ||||||||||
EE-611 | Artificial Intelligence | ||||||||||
EE-620 | Advanced Wireless and Mobile Communications | ||||||||||
EE-641 | Advanced Power System Operation and Control | ||||||||||
EE-642 | Condition Monitoring of High Voltage Equipment | ||||||||||
EE-643 | Power System Reliability | ||||||||||
Thesis | |||||||||||
EE-699 | M.Sc. Thesis in Electrical Engineering | ||||||||||
EE-799 | Ph.D. Thesis in Electrical Engineering | ||||||||||
Curriculum for M.Sc. in Telecommunication Networks | |||||||||||
Two options for M.Sc. in Telecommunication Networks, each with total credit hours of 30, are being offered: | |||||||||||
(a) Thesis Option: 8 Subjects (24 credit hours) + Research Thesis (6 credit hours) | |||||||||||
(b) Non-Thesis Option: 10 Subjects (30 credit hours) (Only for programs offered on weekend)
Note: All courses are 3 (3+0) credit hours each unless otherwise specified |
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Course Code and Title | |||||||||||
Semester-I | |||||||||||
TN-500: Mathematics for Networks | |||||||||||
TN-520: Advanced Communication Systems | |||||||||||
TN-530: Network Programming | |||||||||||
Semester-II | |||||||||||
TN-531: Software Defined Networking | |||||||||||
TN-522: Optical Networks | |||||||||||
TN-533: Network Security and Cryptography | |||||||||||
Semesters-III, IV | |||||||||||
TN-502: Optimization Theory | |||||||||||
TN-550: Queuing Theory | |||||||||||
TN-561: Next Generation Networks (3+1) | |||||||||||
TN-562: Broadband Access Network (3+1) | |||||||||||
TN-564: Radio Frequency Engineering (3+1) | |||||||||||
Thesis | |||||||||||
TN-699: M.Sc. Thesis in Telecommunication Networks | |||||||||||
Curriculum for M.Sc. in Artificial Intelligence | |||||||||||
The curriculum for the M.Sc. in Al requires two core courses, six electives, and a thesis (or two further electives if program offered on weekend): The elective courses are to be chosen from at least two different specializations. The specializations are: | |||||||||||
1. Applications of Artificial Intelligence
2. Theoretical Foundations of Machine Learning 3. Robotics 4. Computational Models of Human Intelligence |
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Note: All courses are 3 (3+0) credit hours each unless otherwise specified. | |||||||||||
Course Code and Title | |||||||||||
AI-502: Artificial Intelligence (Core course) | |||||||||||
AI-503: Machine Learning (Core course) | |||||||||||
Applications of Artificial Intelligence | |||||||||||
AI-511: Deep Learning | |||||||||||
AI-512: Natural Language Processing | |||||||||||
AI-513: Computer Vision | |||||||||||
AI-514: Reinforcement Learning | |||||||||||
Theoretical Foundations of Machine Learning | |||||||||||
AI-521: Statistical Learning Theory | |||||||||||
AI-522: Advanced Machine Learning | |||||||||||
AI-523: Convex Optimization | |||||||||||
AI-524: Probabilistic Graphical Models | |||||||||||
AI-525: Special Topics in Machine Learning | |||||||||||
AI-526: Mathematical and Computational Foundations for Artificial Intelligence | |||||||||||
Robotics | |||||||||||
AI-531: Modern Robotics | |||||||||||
AI-532: Intelligent Control Systems | |||||||||||
AI-533: Artificial Intelligence for Robotics | |||||||||||
Computational Models of Human Intelligence | |||||||||||
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