Courses

The 30-credit Master of Engineering in Electrical Engineering curriculum includes core classes that incorporate advanced technical knowledge, probability theory, research, and applications. Course topics include signal processing, communication systems, power systems, electronics, electronic and integrated circuits, electromagnetics, and microelectronics.

You must successfully complete the following program requirements:

At least 21 credits must be in Engineering courses.
At least 15 credits must be in Electrical Engineering (EE) courses.
At least 18 credits must be at the 500 level.
All students must complete three credits of EE 594, Research Projects.

As part of the program, you will write a nonthesis scholarly report or engineering paper that you and your faculty adviser have mutually agreed upon, which is suitable for publication at a national or international conference, such as the IEEE's (Institute of Electrical and Electronics Engineers), or in a professional journal, in order to obtain this degree.

Complete Your Engineering Degree in Two Years

You can pursue the program on a part-time basis and complete the program within two years, based on completion of two courses a semester. You must maintain a 3.00 grade-point average in both prescribed and supporting courses approved by the program to graduate.

Course List - Master of Engineering in Electrical Engineering

Prescribed Core Courses (9 credits)
Title	Abbreviation	Description	Credits
Linear Systems: Time Domain and Transform Analysis	EE 480	Signals and systems representations, classifications, and analysis using; difference and differential equations, Laplace transform, z-transform, Fourier series, FT, FFT, DFT.	3 credits
Probability, Random Variables, and Stochastic Processes	EE 560	Review of probability theory and random variables; mathematical description of random signals; linear system response; Wiener, Kalman, and other filtering.	3 credits
Research Projects	EE 594	Supervision of individual research projects leading to MS or MEng papers. Written and oral reports are required.	3 credits

Electives (21 credits)
Title	Abbreviation	Description	Credits
Commercial Solar Electric Systems	AE 868	Theories and practices of solar electric systems including component selection, performance simulation, grid interconnection, codes, and design documentation.	3 credits
Communication Systems II	EE 460	Probability fundamentals, digital/analog modulation/demodulation, systems noise analysis, SNR and BER calculations, optimal receiver design concepts, introductory information theory.	3 credits
Power Systems Analysis I	EE 488	Fundamentals, power transformers, transmission lines, power flow, fault calculations, power system controls.	3 credits
Engineering Electromagnetics	EE 531	Electromagnetic field theory fundamentals with application to transmission lines, waveguides, cavities, antennas, radar, and radio propagation.	3 credits
Topics in Digital Signal Processing	EE 553	Parametric modeling, spectral estimation, efficient transforms and convolution algorithms, multirate processing, and selected applications involving non-linear and time-variant filters.	3 credits
Linear Control Systems	EE 580	Continuous and discrete-time linear control systems; state variable models; analytical design for deterministic and random inputs; time-varying systems and stability.	3 credits
Optimal Control	EE 581	Variational methods in control system design; classical calculus of variations, dynamic programming, maximum principle; optimal digital control systems; state estimation. Prerequisite: EE 580	3 credits
Power System Control and Operation	EE 588	Steady-state and dynamic model of synchronous machines, excitation systems, unit commitment, control of generation, optimal power flow. Prerequisite: EE 488	3 credits
Renewable and Sustainable Energy Systems	EME 802	An overview of renewable energy technologies and sustainable energy system analysis.	3 credits
Utility Solar Power and Concentration	EME 812	Technical and theoretical background for utility scale solar energy conversion technologies to generate electric power. Prerequisite: EME 810	3 credits
Engineering Leadership for Corporate Innovation	ENGR 501	This course focuses on concepts and theory related to the study of leadership in an engineering context.	3 credits
Applied Statistics	STAT 500	Descriptive statistics, hypothesis testing, power, estimation, confidence intervals, regression, one- and 2-way ANOVA, Chi-square tests, diagnostics. Prerequisite: one undergraduate course in statistics	3 credits

Course Availability

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