Department of Electrical and Computer Engineering

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The Department of Electrical and Computer Engineering offers programs leading to the Master of Science in Engineering (M.S.E.) and Master of Engineering (M.E.) degrees in electrical engineering. The Master of Science in Engineering program is research oriented and requires a formal research thesis. The Master of Engineering program is course work oriented. The programs provide advanced preparation in specialized areas of electrical engineering for recent graduates and working engineers who wish to improve their technical capabilities.

The Department of Electrical and Computer Engineering also jointly offers two Master and a Ph.D. program in Computer Engineering with the Tandy School of Computer Science. The joint Ph.D. program in computer engineering provides opportunities for advanced specialization and scholarly research in computer engineering and related fields.

The mission of the Department of Electrical and Computer Engineering is to provide a modern, high quality educational experience for all our students. We provide the knowledge and principles on which electrical engineering is founded in order to graduate engineers who are technically competent, creative, articulate, and socially aware.

Learning Objectives

Master of Engineering. The M.E. degree program prepares the students:

• With advanced knowledge and principles to solve electrical engineering problems.
• To obtain new skills needed for professional development.

Master of Science in Engineering. The M.S.E. degree program learning objectives are the two above, and to provide the student with technical skills and knowledge for conducting research.

Joint Programs in Computer Engineering

Refer to Graduate Programs in Computer Engineering  for details regarding admission, curricula, and degree requirements for the joint programs in Computer Engineering.

Programs

• Electrical Engineering, M.E.
• Electrical Engineering, M.S.E.

Courses

• EE 6163 Computer Hardware Techniques
• EE 6173 Computer Networks
• EE 6233 Alternative Energy Sources
• EE 6243 Applied Electronics
• EE 6273 Optical Networking
• EE 6403 Information and Communication Systems
• EE 6423 Radio Frequency Engineering
• EE 6433 Power Systems Analysis
• EE 6443 VLSI Design
• EE 6453 Modern Control Systems
• EE 6463 Antennas
• EE 6473 Introduction to Neural Networks
• EE 6513 Digital Signal Processing
• EE 6523 Radio Frequency Identification Technology and Applications
• EE 6553 Digital Control Systems
• EE 6563 Microprocessors in Digital Design
• EE 6623 Electro-Optics
• EE 6723 Robotics
• EE 6763 Robotics Design and Implementation
• EE 6863 Special Topics
• EE 7013 Random Processes in Engineering
• EE 7023 Electromagnetic Theory
• EE 7033 Electrical Power Systems Design and Protection
• EE 7053 Optimization Techniques
• EE 7063 Computer Engineering
• EE 7073 Fundamentals of Engineering and Management
• EE 7113 Advanced Signal Processing
• EE 7133 Power System Reliability
• EE 7143 Linear Electronics
• EE 7213 Coding and Information Theory
• EE 7223 Numerical Methods in Electromagnetics
• EE 7243 Power Electronics
• EE 7263 Advanced Hardware Architecture
• EE 7313 Pattern Recognition
• EE 7323 Fiber-Optic Transmission Systems
• EE 7363 Computer Architecture
• EE 7413 Neural Networks
• EE 7863 Special Topics in Electrical Engineering
• EE 7913 Design Report
• EE 7961 Residency
• EE 7971 Graduate Seminar
• EE 7981-6 Research and Thesis
• EE 7991-3 Independent Study
• EE 9981-9 Research and Dissertation
• EE 9991-3 Independent Study

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