M.S. Electrical Engineering Curriculum
A course outline for our M.S. Electrical Engineering degree program.Download File
The Electrical and Computer Engineering Department offers practice oriented graduate level education and research concentrations that can lead you to advance in your profession and/or prepare for your doctoral degree. You will have the benefit of interdisciplinary education and research opportunities during the course of obtaining your degree. The program may be completed on a full-time or part-time basis by fulfilling the degree requirements through research (master’s thesis or research project) or in a non-research (coursework-only) option.
You have the choice of completing 6 semester hours of thesis research mentored by faculty within the College of Engineering or a 3 semester hour research project carried out in conjunction with an industrial partner or a project of interest to your faculty mentor. Areas of electrical engineering concentration include:
Digital Signal Processing and Digital Data Communication: covering digital data transfer using computer networks, modulation, and signal processing research includes adaptive filtering, modulation, and detection of multidimensional signals in the presence of noise, speech processing, voice recognition, performance evaluation of local area and wireless networks, broadband networks, and neural signal processing. Application areas include speech telecommunications, cellular and personal communication services, speech and image compression and recognition, software-defined radios, and receiver architectures in fading channels.
Microelectronics and Computer Engineering: emphasizing electronic circuits, embedded systems, and system-on-a-chip design and advanced knowledge in current practices of computer design, application-specific integrated circuit (ASIC) development, hardware realization, and integrated circuit layout. Applications include system-chip design methodologies using Verilog, behavioral synthesis in FPGAs, migration of existing integrated circuit designs to new fabrication processes, minimization of propagation delay in high-speed digital circuits, and thermal dissipation. Visit System Chip Design Lab for more information.
Smart Systems, Control and Optimization: focuses on smart sensors, novel control methods, and optimization algorithms. Research areas include smart sensors, sensor networks, human-computer interaction, energy control systems, power optimization, cyber security, and their applications. Visit the Computer Fusion Laboratory. In energy control systems and optimization covering mathematical concepts of control systems including robust and optimal control and controller hardware and software implementation for dynamic systems. The applications are investigated in the CSNAP Laboratory website.
Students can concentrate in any one of the above areas by taking appropriate courses and conducting research leading to a master’s or doctoral degree. Interdisciplinary research with other branches of engineering, science, and mathematics are encouraged.
AREAS OF RESEARCH
- Neural signal processing
- Energy control systems
- Power optimization
- Sensor networks
- Microelectronics and VLSI
- Brain-Machine interface
- Speech processing
- Shipboard crane control
- Optimal control
- Autonomous robots
- Smart Sensing Systems
Requirements for completion of the Master's in Electrical Engineering
For graduation, a minimum of 30 semester hours of graduate-level coursework is required. Students pursuing the thesis option must complete 24 semester hours of graduate-level coursework and complete 6 semester hours of thesis. Students completing the non-thesis option must complete 27 semester hours of graduate-level coursework and 3 semester hours of a research project, or another 3 semester hour graduate-level course (with permission from the Department).
ENGR 5022 Engineering Analysis and Application
ENGR 5033 Probability and Random Processes