Electrical Engineering - Master of Engineering in Electrical Engineering
Requirements and Options for M.E.E.E. Degree
The Program Educational Objectives for the Master of Engineering Program in Electrical Engineering are:
- That graduates successfully apply advanced skills and techniques in one or more areas of emphasis.
- That graduates obtain relevant, productive employment with the private sector or in government and/or pursue additional advanced degrees.
The M.E.E.E. is a coursework-only option for obtaining a master's degree. The requirement is a total of 30 credits of graduate course work, including passing with a grade of B or better six Graduate Expanded Core Courses from at least three different areas of emphasis. No oral exam is required for the MEEE.
Credits of E E 590 Selected Topics are limited to a total of 6. Other limitations and requirements that apply to all master’s degrees are described elsewhere in this catalog.
Graduate Expanded Core Courses
The MEEE program requires students to take six courses from at least three different areas of emphasis from the list of Graduate Expanded Core Courses. Students who may wish to pursue a Ph.D. in the future are encouraged to include three courses from the MSEE Graduate Core Courses as part of their Graduate Expanded Core; the three MSEE Graduate Core Courses will satisfy one of the requirements for the Ph.D. qualifying exam. The areas of emphasis and credits are listed below for the Graduate Expanded Core Courses with additional specification as to which of those are the MSEE Graduate Core Courses.
Graduate Expanded Core Courses
Prefix | Title | Credits |
---|---|---|
Graduate Expanded Core Courses: choose 6 from at least 3 different areas | 18-21 | |
Electromagnetics | ||
Electromagnetic Theory I 1 | 3 | |
Electromagnetic Theory II | 3 | |
Microwave Engineering | 3 | |
Antennas and Radiation | 4 | |
Introduction to Radar | 3 | |
Smart Antennas | 3 | |
Computational Electromagnetics | 3 | |
Microelectronics/VLSI | ||
Introduction to Analog and Digital VLSI | 3 | |
ASIC Design | 3 | |
Analog VLSI Design 1 | 3 | |
ARM SOC Design | 3 | |
Selected Topics (Hardware for Machine Learning) | 3 | |
Photonics | ||
Fundamentals of Photonics 1 | 4 | |
Lasers and Applications 1 | 4 | |
Fourier Methods in Electro-Optics | 3 | |
Optical System Design | 3 | |
Electric Energy Systems | ||
Power System Relaying | 3 | |
Power Electronics | 3 | |
Photovoltaic Devices and Systems | 3 | |
Power Systems II | 3 | |
Power Systems III 1 | 3 | |
Distribution Systems | 3 | |
Selected Topics (Power System Modeling and Numerical Computational Methods) | 3 | |
Digital Signal Processing | ||
Digital Signal Processing II 1 | 3 | |
Machine Learning I 2 | 3 | |
Geometric Algebra 2 | 3 | |
Telemetering Systems 2 | 3 | |
Advanced Image Processing | 3 | |
Digital Image Processing 2 | 3 | |
Neural Signal Processing | 3 | |
Computer Engineering | ||
Hardware Security and Trust | 3 | |
Computer Systems Architecture | 3 | |
Computer Performance Analysis I | 3 | |
Architectural Concepts II 1 | 3 | |
Selected Topics (Introduction to Quantum Computing) | 3 | |
Selected Topics (Applications of Parallel Computing XSEDE Collaborative Course) | 3 | |
Mobile Application Development | 3 | |
Communications | ||
Random Signal Analysis 1 | 3 | |
Modern Coding Theory | 3 | |
Signal Compression | 3 | |
Digital Communication Systems I | 3 | |
Wireless Communications | 3 | |
Telemetering Systems 2 | 3 | |
Information Theory | 3 | |
Controls & Robotics | ||
Control System Synthesis I 1 | 3 | |
Machine Learning I 2 | 3 | |
Geometric Algebra 2 | 3 | |
Digital Image Processing 2 | 3 | |
Graduate Electives: choose 3 to 4 courses | 12-9 | |
Total Credits | 30 |
- 1
This course is one of the MSEE Graduate Core Courses. Students pursuing the MEEE who wish to pursue the Ph.D. in the future are encouraged to select three courses from this subset of courses to satisfy one of the requirements for the Ph.D. Qualifying Exam.
- 2
This course is included in multiple areas of emphasis. Students may use this course to satisfy one area of emphasis.
Included Prefixes
Graduate course work credits from the following prefixes are permitted for the MEEE degree. If a graduate course outside this list of prefixes logically fits into the MEEE program, see your graduate advisor about requesting an exception.
Prefix | Title | Credits |
---|---|---|
College of Agriculture/Consumer/Environmental Sciences | ||
AEEC | ||
ENVS | ||
GENE | ||
College of Arts and Sciences | ||
ASTR | ||
BCHE | ||
BIOL | ||
C S | ||
CHEM | ||
GEOL | ||
GPHY | ||
LING | ||
MATH | ||
MOLB | ||
PHYS | ||
STAT | ||
College of Business | ||
ECON | ||
MGMT | ||
College of Engineering | ||
A E | ||
A EN | ||
CHME | ||
E E | ||
ENVE | ||
I E | ||
M E | ||
SUR |
Excluded Courses
Credits from the following courses do not count toward an MEEE degree:
Prefix | Title | Credits |
---|---|---|
C S 451 | C++ Programming | 3 |
C S 452 | Java Programming | 3 |
C S 453 | Python Programming I | 3 |
C S 458 | R Programming I | 3 |
C S 460 | Computer Science I Transition | 3 |
C S 462 | Object Oriented Programming Transition | 3 |
C S 463 | Introduction to Data Structures Transition | 3 |
C S 464 | Machine Programming and Organization Transition | 3 |
C S 465 | Discrete Math for Computer Science Transition | 3 |
C S 466 | Compilers and Automata Transition | 3 |
C S 468 | Software Development Transition | 3 |
C S 469 | Data Structure and Algorithms Transition | 3 |
E E 490 | Selected Topics | 1-3 |