CASE
 
 
Postgraduate Programs in Electrical Engineering

MS in Electrical Engineering:

We offer a MS Program in Electrical Engineering with strong foundation in theory to equip students with the skills necessary to grasp and develop new technologies and trends in the electrical engineering field. The Electrical Engineering Program at SS-CASE-IT is tailored to the specific needs of modern industry and R&D organizations. Our faculty is also actively engaged in research that includes all major areas of Electrical Engineering.

The Department of Electrical and Computer Engineering is offering MS in Electrical Engineering in the following research areas:

  • Communication Systems and Networks
  • Electrical Power and Energy Engineering
  • Robotics and Control Systems

MS Degree Requirements:

Each MS student has to select one area of specialization within the chosen degree program.

In general, a student has to complete a minimum of

  • 30 credit hours’ worth of courses (for non-thesis) and
  • 24 credit hours’ worth of courses and 6 credit hours of thesis work (for thesis option).
A student has to attain a minimum CGPA of 2.5 to earn the degree.

  1. All courses carry 3 credit hours and the Research Thesis carries 6 credit hours.
  2. The general structure of the MS Electrical and Computer Engineering program with thesis option is as following:
    • Core 1
    • Core 2
    • Core 3
    • Research Methodology
    • A Mathematics Elective
    • Two courses from Program Electives (area of specialty)
    • One University Elective
  3. The general structure of the MS Electrical and Computer Engineering program with non-thesis option is as following:
    • Core 1
    • Core 2
    • Core 3
    • A Mathematics Elective
    • Two courses from Program Electives (area of specialty)
    • Two courses from Department Electives
    • Two University Electives

Ph.D. Degree Requirements:
 
PhD in Computer Engineering requires the student to pass a minimum of 6 courses in any of the specializations within the department with a minimum CGPA of 3.0. In addition to courses the student is required to take a research thesis worth of at least 30 credit hours. Student is also required to publish at least one paper from the research in an HEC recognized journal.
 
Duration:
 
Master of Science Program in Computer Engineering:
Minimum: 1.5 Years (Three Regular Semesters)
Maximum: 3.5 Years (with additional six months extension)
 
 
Courses offered in Electrical Engineering Program:
 
 
Communication Systems and Networks
 
  • EE6501 Wireless Communications (CORE)
  • EE6511 Cellular Communication Systems
  • EE6512 Optical Communication Systems
  • EE6513 IoT Communication Devices and Protocols
  • EE6514 Satellite Communication and Navigation Systems
  • EE6515 Radar System Engineering
  • EE6516 Cryptography and Secure Communications
  • EE6521 Advanced Computer Networks
  • EE6522 Adhoc & Sensor Networks
  • EE6531 RF and Microwave Engineering
  • EE6541 Stochastic Signal Processing
  • EE8501 Advanced Wireless Communications
  • EE8502 Information & Coding Theory
  • EE8511 Software Defined Radios (SDR)
  • EE8512 Technology Analysis of a Smartphone
  • EE8521 Simulation, Modeling, and Performance Analysis of Computer Networks
  • EE8522 Software Defined Networks (SDN)
  • EE8531 Antenna Design and Applications
  • EE8541 Advanced Digital Signal Processing
  • EE8519 Special Topics in Communications (Contemporary Buzzwords)
  • EE8529 Special Topics in Networking (Contemporary Buzzwords)
  • EE8909 MS Research Thesis
  • EE8999 PhD Thesis
 
Electrical Power and Energy Engineering
 
  • EE6610 Power System Steady State Analysis
  • EE6670 Power Electronic Circuits
  • EE6650 Power System Protection
  • EE6620 Power Distribution Engineering
  • EE6621 Power Transmission Engineering
  • EE6651 Industrial Power System Design
  • EE8680 Optimization Techniques in Power Systems
  • EE8610 Power Systems Operation and Control
  • EE8681 Electric Power Quality
  • EE8611 Power System Stability
  • EE8612 Power System Planning
  • EE8613 Power System Reliability and Security
  • EE8614 Power System Dynamic Analysis
  • EE8682 Power System Transients
  • EE8650 High Voltage Engineering
  • EE8620 Power Distribution Control and Automation
  • EE8630 Electric Machinery Analysis
  • EE8670 Dynamics and Control of Electric Machine Drives
  • EE8671 Power IC Design
  • EE8631 Wind Energy Conversion and Grid Integration
  • EE8640 Distributed and Renewable Energy Systems
  • EE8683 Electric Power Quality
  • EE8684 Electric and Magnetic Fields in Electric Power Engineering
  • EE8660 Smart Grids
  • EE8685 Artificial Intelligence Tools for Power System
  • EE8690 Power System Management and Electricity Markets
  • EE8615 Characterization & Planning of Small‐Scale Multi‐Generation Systems
  • EE8691 Engineering, Economics and Regulation of the Electric Power Sector
  • EE8621 Electrical Load Management, Forecasting & Control
  • EE8600 Special Topics in Power Engineering I
  • EE8601 Special Topics in Power Engineering II
  • EE8606 Special Topic in Power Electronics I
  • EE8607 Special Topic in Power Electronics II
  • EE8909 MS Research Thesis
  • EE8999 PhD Thesis
 
Robotics and Control Systems
 
  • EE6201 Linear Control Systems (CORE)
  • EE6202 Digital Control Systems
  • EE6203 Nonlinear Systems & Control
  • EE6204 System Modelling and Identification
  • EE6205 Advanced Digital Signal Processing
  • EE6206 Audio Signal Processing
  • EE6207 DSP for Controls and Power Systems
  • EE6208 Statistical Signal Processing
  • EE8201 Distributed and Autonomous Robotic Systems
  • EE8202 Stochastic Control and Fault Diagnostics
  • EE8203 Networked Control and Multiagent Systems
  • EE8204 Artificial Intelligence for Control Engineering
  • EE8205 Deep Learning
  • EE8206 Robust and Optimal Control Systems
  • EE8207 Computer Vision
  • EE8208 Special Topics in Control Engineering
  • EE8909 MS Research Thesis
  • EE8999 PhD Thesis
 
MATHEMATICS BASED ELECTIVE COURSES
(COMMON TO ALL SPECIALIZATIONS)
 
Students have to take a minimum of one math course being offered.
  • SC8101 Optimization Techniques
  • SC6102 Integral Equations and Transforms
  • SC6103 Complex Analysis
  • SC6104 Finite Element Methods
  • SC8105 Numerical Methods
  • SC6106 Real Analysis
  • SC8107 Computational Linear Algebra
  • SC8110 Special Topics in Mathematics