Department of Electrical

Professor Jon Bredeson, Chairperson.

Horn and Thornton Professor Kristiansen; Horn Professor Hagler; Maddox Chair Professor Temkin; Professors Auñón, Chao, Gustafson, Ishihara, Krile, Krompholz, Mitra, O'Hair, Parten, Portnoy, and Trost; Associate Professors Baker, Giesselmann, Mehrl, Wunsch, and Zieher; Assistant Professors Dickens and Neuber; Visiting Professor Maqusi; Adjunct Faculty: Feldkamp, Kachru, Petrosian, Rowe, Shieh, and Shurmer.

This department offers study in the following graduate degree programs: ELECTRICAL ENGINEERING, Master of Science in Electrical Engineering and Doctor of Philosophy.

Before being recommended for admission to a degree program, the student may be required to take (without graduate credit) such undergraduate leveling courses as may be designated by the department.

Both master's and doctoral students must develop proficiency over the entire range of electrical engineering activities by taking courses in a variety of subjects determined by the department. Minor subjects are taken outside the department.

Courses in Electrical Engineering. (EE)

5120. Electrical Engineering Graduate Seminar (1:1:0). Discussion will concern present research conducted in electrical engineering and other topics of interest to electrical engineers.

5301. Topics in Electrical Engineering (3:3:0). Introduction and application of a wide range of electrical engineering topics; includes such subjects as circuit analysis, electronics, digital systems, optics, communications, and power generation and related systems. May not be used for graduate credit by electrical engineering students.

5310. Introduction to VLSI Design (3:2:3). A basic introduction to very large-scale integrated (VLSI) design of circuits and devices. Geometrical patterns of semiconductor devices on a chip, MOS circuits, masking and patterning, and automation tools.

5312. Power Semiconductors (3:3:0). Principles and properties of semiconductor and optical devices, thyristors and other switches, integrated circuit devices, and device modeling.

5314. Solid State Devices (3:2:3). Semiconductor materials and band theory of solids. Physics of semiconductor devices, charge transport, pn junctions, diodes, bipolar junction transistors, optoelectronic devices, and MOS devices.

5316. Power Electronics (3:3:0). Switch mode power conversion, converters and inverters, power supplies and regulators, and power semiconductor circuits.

5321. Design and Analysis of Analog Integrated Circuits (3:3:0). Prerequisite: EE 5310. Principles involved in designing analog integrated circuits. Device physics, small signal, and large signal models. Biasing and basic circuit building blocks. Applications.

5324. Computer-Aided Circuit Analysis (3:3:0). Development, implementation, and application of advanced circuit models for the design of integrated circuits. Designed to enhance design skills through direct application of computer-aided analysis tools.

5325. Telecommunication Networks (3:3:0). Networking and standards. Data and voice network architectures, cellular, satellite and telephone networks. Open network architecture, ISDN, transport and network layer protocols. Network modeling and optimization. Queuing theory.

5328. Statistical Theory of Communications (3:3:0). Probability review, functions of random variables, density and distribution functions, random processes, correlations, power spectral density, linear systems with random inputs, mean square estimation, matched filters.

5331. Theoretical Investigations in Engineering Applications (3). Prerequisite: Graduate standing in engineering. An individual study course involving a rigorous theoretical investigation of some aspect of an engineering problem of current interest. A formal report is required.

5341. Advanced Electromagnetic Theory (3:3:0). Prerequisite: Graduate standing in electrical engineering or consent of instructor. Rigorous treatment of the boundary-value problems encountered in the analysis of systems for guiding electromagnetic waves. Reduction of wave-guide and obstacle problems to equivalent network problems.

5343. Power Systems Engineering (3:3:0). Electrical power transmission and distribution systems; power generation systems; system modeling, planning, management and protection.

5344. Antennas and Radiating Systems (3:3:0). Prerequisite: Consent of instructor. Antenna fundamentals, calculation of impedance, reciprocity, uniformly spaced arrays, aperture radiation, Huygen's principle, Babinet's principle, parabolic and spherical reflectors, aperture synthesis, multipole radiation.

5345. Pulsed Power (3:3:0). Fundamentals of pulsed power circuits, components, and systems. Pulse forming lines, energy storage, voltage multipliers, switching, materials, grounding and shielding, measurements, and applications.

5352. Quantum Electronics (3:3:0). Prerequisite: Consent of instructor. Introduction to lasers and laser-related problems. Quantum theory applied to laser devices, applications and engineering of lasers.

5353. Gaseous Electronics (3:3:0). Kinetic theory of gases. Collisions. Emission processes. Self sustained discharge. Paschen law. Glow discharge. Arc discharge. Streamers. Spark discharge. Corona discharge. Gas lasers.

5355. Plasma Theory (3:3:0). Vector mechanics of many particle systems. Kinetic gas theory. Orbit theory. Particle collisions, ionization phenomena. Radiation, Boltzmann-Vlasov equation, oscillations. Plasma turbulence and instabilities. Applications and devices.

5360. Fiber Optic Systems (3:3:0). Optical fibers, couplers, sources, and detectors; applications to communications and sensing. Integrated optics.

5362. Modern Optics (3:3:0). Modern concepts in optics related to engineering applications. Geometrical, physical, and quantum optics; Fourier optics, holography, and image processing.

5363. Linear System Analysis and Design (3:3:0). Basic properties of systems described by linear dynamical equations. Controllability, observability, stability, equivalence transformations.

5364. Digital Signal Processing (3:3:0). An introduction to digital signal processing. Sampling, z-transform, discrete and fast Fourier transforms, flowgraphs, design techniques for digital filters, effects of finite word length and applications.

5367. Image Processing (3:3:0). Imaging fundamentals. Linear operators in spatial and spatial-frequency domains. Image enhancement and restoration techniques. Analysis and coding of images.

5368. Advanced Control Systems (3:3:0). An introduction to advanced control systems. Optimal, adaptive, and robust control of linear and nonlinear systems. Fuzzy logic and neural network applications to control systems.

5371. Engineering Analysis (3:3:0). Prerequisite: MATH 3351 or its equivalent. Application of modern mathematical methods to engineering problems (review of elements of measure and integration). Vector spaces and operators. Introduction to spectral theory. Elementary distribution theory.

5381. Introduction to Semiconductor Processing (3:2:3). Introduction to the physical principles, techniques, and technologies involved with the fabrication of very large scale integrated circuits (VLSI).

5382. Advanced Digital System Design (3:3:0). Prerequisite: EE 5310. Advanced VLSI design. Computer arithmetic. High speed computation. Digital hardware design. CAD tools for VLSI design.

5391. Electric Machines and Drives (3:3:0). Analysis and control of DC machines and induction machines. Space vector theory. Field oriented control. Modeling of machine and controller dynamics.

5393. Plasma and Materials Processing Techniques (3:3:0). Plasma enhanced methods of materials deposition and processing, chemical vapor deposition methods, overview of low pressure plasma properties.

6000. Master's Thesis (V1-6).

6351. Physical Electronics (3:3:0). Prerequisite: E E 5352 or consent of instructor. Fundamentals of solid state physics relevant to device applications. Semiconductors, dielectrics, ferroelectricity, ferromagnetics, and superconductors. Laser devices, applications, and engineering of lasers.

6360. Computer Vision and Image Reconstruction (3:3:0). Theories of image formation and reconstruction. Reconstruction problems in tomography, magnetic resonance imaging, synthetic aperture radar, and other modalities of imaging.

6363. Adaptive Pattern Recognition (3:3:0). Prerequisite: E E 5328. Adaptive approaches to the design of discriminant functions for pattern classification and recognition. Statistical, syntactic, neural networks and fuzzy-set based optimization constraints for discriminants.

6365. Topics in Advanced Communications (3:3:0). Applications of detection and estimation theory in the design of optimum communication systems.

6366. Optical Information Processing (3:3:0). Prerequisite: EE 5362 or consent of instructor. Analog and digital optical signal­image processing architectures and systems; includes properties and applications of spatial light modulators and nonlinear optical materials in data storage, pattern recognition, and neural networks.

7000. Research (V1-12).

8000. Doctor's Dissertation (V1-12).

Courses in System Engineering. (SE)

5301. System Engineering Processes (3:3:0). An introduction to the system engineering process and practice required in response to federal government procurements. The topics are applicable to the development and marketing of electro-mechanical products and associated supporting software.

5302. System Engineering Applications and Practices (3:3:0). Reviews various engineering principles and applies them to practical problems with emphasis on those functions and activities developed in S E 5301.

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