Electrical Engineering (ELEC)
Professors: Maurice F. Aburdene, John C. Bravman (University President), Richard J. Kozick
Associate Professors: Susan R. Baish (visiting), Peter Mark Jansson, David F. Kelley (Chair), Jie Lin, Joseph V. Tranquillo
Assistant Professors: Kenneth J. Hass, Robert M. Nickel, Michael S. Thompson
Areas of Concentration
Faculty research interests include the following areas: control systems, communication systems, computer networking, electromagnetics, digital system design, digital signal processing, embedded computing, high performance computer architecture, information theory, mobile computing, nonlinear photonics, optoelectronic materials and devices, speech and audio signal processing, smart grid, electrical power systems, renewable energy systems, and VLSI.
A wide range of microprocessors, digital logic analyzers, high-speed digital signal processors, optoelectronics equipment, high-frequency oscilloscopes, RF test and measurement equipment, and computer-aided analysis and design software is available for graduate work. Graduate students have full access to all of the department's laboratory facilities, including those for specialized applications.
MSEE Degree Requirements
At least eight course credits are required beyond those applied toward the BS/BA degree and must be distributed as follows:
· One credit must be ENGR 695 (Advanced Topics in Engineering Mathematics).
· One credit must be ELEC 699 (Thesis).
· At least four additional credits must be 600-level or higher elective courses in electrical engineering. Any number of credits may be in the form of independent study (ELEC 628 or 629) courses, but they must be approved by the student's advisor.
· The remaining credits, if any, may be in any approved technical area.
In addition to the course requirements listed above, the student must present and successfully defend a master's thesis.
Students coming from non-electrical engineering programs might have to take additional junior or senior-level courses to satisfy prerequisites for advanced courses.
The primary purpose of the thesis is to contribute to the education of the candidate. The thesis might or might not also contribute to the state of the art in the chosen field. The thesis requirement in electrical engineering may be satisfied by one of the following:
1. an exercise in solving a practical engineering problem involving novel features, which might
or might not compromise design;
2. an exercise designed to develop research skills and ability;
3. an experiment or theoretical research project.
The thesis must be defended in a final oral or written examination in accordance with the deadlines imposed by the College of Engineering Graduate Committee.
602. Special Topics in Electrical or Computer Engineering (I or II; 3, 2)
Current topics of interest in electrical or computer engineering. The course might include a laboratory section. Prerequisite: permission of the instructor.
608 and 609. Advanced Electrical Engineering Laboratory (I or II; R)
Special laboratory work, by permission.
611. Neural Signals and Systems (I or II; 4, 0)
Introduction to neural systems and signaling. Topics include neural physiology, models of action potential generation and synapse dynamics, neural networks and techniques of neural waveform analysis. Prerequisite: permission of the instructor.
628. 629. Advanced Electrical Engineering Problems (I or II; R) Half to full course.
Problems in electrical engineering theory adapted to the needs of the student. Qualified students by permission.
642. Digital VLSI Circuit Design (I or II; 3, 0)
Introduction to digital integrated circuit design, from wafer fabrication through structured design techniques. Teams conceptualize, design, simulate, layout, extract, and verify small VLSI systems using appropriate CAD tools. Prerequisite: permission of the instructor.
643. High Performance Computer Architecture (I or II; 3, 0)
Topics include "good" computer architecture, RISC/CISC, pipelining, super-scalar, super-pipelining, out-of-order execution, speculative execution, virtual memory, caches, and cache coherence. Prerequisite: permission of the instructor.
644. Advanced Digital Design (I or II; 3, 3)
Hardware description languages. High-level synthesis. Logic synthesis. Field-programmable gate-array architectures and applications. Prerequisite: permission of the instructor.
652. Power Electronics (I or II; 3, 3)
Design and analysis of solid-state power conversion systems. Circuit theory, computer-based modeling, and analytical tools for efficient electronic conversion, control, and conditioning of electric power.
660. Optoelectronic Materials and Devices (II; 3, 2)
Introduction to the principles and applications of optoelectronic devices, including compound semiconductors, LEDs, lasers, photodetectors, modulators, solar cells, and optoelectronic integrated circuits. Prerequisite: permission of the instructor.
662. Fiber Optics Fundamentals (I or II; 3, 0)
Introduction to the light propagation in optical fibers, characteristics of fibers, semiconductor light-wave sources and detectors, optical transmitters and receivers, light-wave transmission systems for communication networks. Prerequisite: permission of the instructor.
663. Introduction to Mechatronics (I or II; 4, 0)
Mechatronics is a multidiscipline technical area defined as the synergistic integration of mechanical engineering with electronic and intelligent computer control in the design and manufacture of industrial products and processes. This design-directed course will cover topics such as actuators and drive systems, sensors, programmable controllers, microcontroller programming and interfacing, and automation systems integration. Crosslisted as MECH 663. Prerequisite: permission of the instructor.
670. Communication and Information Systems (I or II; 3, 0)
Digital and analog communication systems, modulation techniques, noise considerations, optimum receivers. Prerequisite: permission of the instructor.
671. Probability with Applications in Electrical Engineering (I or II; 4, 0)
Introduction to probability and statistics. Projects illustrate the relevance and importance of probability and statistics in electrical engineering. Probability axioms; disjoint and independent events; conditional probability; random variables; probability mass/density functions; expected value, mean, variance, and covariance; noise characterization; Gaussian random variables, least-squares estimation of parameters and random variables; electrical engineering applications.
672. Digital Signal Processing (I or II; 3, 2)
Sampling A/D and D/A conversion; digital filters; recursive and nonrecursive designs, quantization effects; Fast Fourier Transform; spectral estimation; computer implementations; applications. Prerequisite: permission of the instructor.
673. Digital Speech and Audio Processing (I or II; 3, 0)
Theory and application of digital speech and audio processing. Topics include speech and audio (MP3) coding, artificial speech synthesis, automatic speech recognition, and audio effects. Prerequisite: permission of the instructor.
675. Computer Communication Networks (I or II; 3, 0)
An introduction to computer networking using the seven-layer Open Systems Interconnection model. Hands-on exploration of the data link, network, transport, and application layers.
677. Wireless System Design (I or II; 3, 3)
Introduction to various aspects of wireless communication system design, including RF circuit design, antennas, radiowave propagation, and computer simulation. Prerequisite: permission of the instructor.
691. Electrical Energy Conversion (I; 3, 3)
Three phase power circuits, transformer circuits, rotating machines and equivalent circuits, power electronic switches, machine dynamics, motor generator control.Prerequisite: permission of instructor.
693. Electric Power Systems (I or II; 3, 0)
Analysis of power distribution, load control, economics of operation, symmetrical and unsymmetrical faults, stability, and issues in deregulation.
694. Renewable Energy Systems (I or II; 3, 0)
Engineering analysis of photovoltaic, wind, and other renewable energy systems. Modeling of systems, resources, and performance with an emphasis on grid-tied photovoltaic system optimization.
ENGR 695. Advanced Topics in Engineering Mathematics (I; 4, 0)
Linear algebra and analytical/computational techniques for solving ordinary and partial differential equations relevant to engineering applications. Prerequisite: permission of the instructor.
699. Thesis (I or II)
A professional-level investigation under the direction of a faculty member; required for a Master of Science in electrical engineering degree.