GRADUATE FACULTY: Austin, Cabrera, Carrasco-Flores, Diong, Liu, Lush, Manoli, Nava, Pierluissi, Riter, Schroder, Shadaram, Singh, Smith, Starks, Usevitch, Williams

Individual variable-credit research, design, or analysis on advanced phases of Electrical Engineering problems conducted under the direct supervision of a faculty member. A maximum of three credit hours may be applied toward the MS degree. Prerequisite: Permission of Graduate Advisor.

Individual variable-credit research in electrical or computer engineering. Cannot be used to satisfy minimum degree requirements. Grade of S or U. Prerequisites: Graduate standing and instructor approval.

Conferences and discussions of various topics in electrical and computer engineering by faculty, graduate students, and speakers from industry and other institutions. Required of all graduate students during each semester of full-time enrollment.

Random process fundamentals including spectral analysis; special classes of random processes; linear systems response to random processes; applications. Prerequisite: EE 3384 or STAT 3330 or equivalent.

A broad coverage of the field of numerical methods emphasizing computer techniques as they apply to Electrical Engineering. Topics generally include numerical integration and differentiation, boundary-value and eigenvalue-value problems, finite-difference and finite-elements methods, and solutions to partial, parabolic, and hyperbolic differential equations. Prerequisite: MATH 2326 or MATH 3326.

Analysis of generalized linear systems through a state space approach. Relationships with frequency domain design. Modeling of physical systems. Controllabilty, observability, pole placement, and design of controllers and observers. Eigenstructures.

Fundamental theory of point sources; the antenna as an aperture; methods of analyzing and calculating characteristics of various types of antennas; self and mutual impedances of antennas; array of linear antennas; antenna measurement techniques. Prerequisite: EE 3321.

Advanced topics in two and three dimensional graphical techniques. Topics may vary, but course may not be repeated for credit.

Theory and application of advanced semiconductor devices including heterostructures, integrated circuits, semiconductor memories, charge transfer devices, thyristors, and microwave devices. Prerequisite: EE 4350 or equivalent.

Theory and application of advanced photonic devices including injection lasers, photodiodes, infra-red detectors, solar cells, and electroluminescent displays. Prerequisite: EE 5311 or equivalent.

Theory and applications of electron devices used in fast computers including high electron mobility transistors, optical logic gates, quantum well lasers, Josephson junction logic gates, and heterojunction bipolar transistors. Prerequisite: EE 4350 or equivalent.

Source coding, generation, transmission, and detection of digital baseband and bandpass signals, optimum receivers, block and convolutional channel coding, adaptive equalization, encryption and decryption, and introduction to spread spectrum. Prerequisite: EE 3384.

Application of statistical decision theory and estimation theory to problems of communication systems and of radar and sonar. Narrowband signals, gaussian derived processes, hypothesis testing, detection of signals, and estimation of signal parameters. Prerequisite: EE 5300.

Study of modern telecommunication and data networks; packet and circuit switched networks; ATM; congestion control; mathematical modeling of networks; economics.

In depth study of dispersion and attenuation in optical fibers, non-linear propagation effects, optical amplifiers, sources and detectors, wavelength division multiplexing, coherent systems, performance evaluation of fiber optic systems, and system design considerations.

Fundamental concepts associated with the construction of meaningful descriptions of physical objects from images; including image segmentation, two-dimensional and three-dimensional representations, knowledge representation, matching, and inference. Prerequisite: Instructor approval.

Fundamental concepts as they apply to multiprogrammed, multiuser operating systems within distributed computer systems. Topics include an overview of the kernel, file systems, process control and scheduling, interprocess communication, memory management, and I/O. The internal algorithms of a contemporary operating system are examined. Prerequisite: CS 4375 or EE 4374.

A course emphasizing the theory behind the following: the Discrete Fourier Transform (DFT) and its role in the representation, analysis, and processing of periodic and finite-duration signals; Fast Fourier Transform (FFT) algorithms for efficient computation of the DFT; sample rate change and other basic multirate signal processing systems; FIR and IIR digital filter design procedures. Prerequisite: EE 4383 or instructor approval.

A course covering the following topics: point, algebraic and geometric operations on digital images; two-dimensional digital filtering and Fourier transforms; image enhancement, segmentation, restoration and compression techniques.

Prerequisite: EE 5371 or instructor approval.

Modern logic design methodologies of large digital systems with standard SSI, MSI and LSI, including PLD's and microprocessors. Emphasis is placed on the use of multilevel digital simulation and hardware language description. Prerequisite: EE 4342 or equivalent.

Emphasis on the principles and techniques of testability design and testing of digital logic circuits, including test pattern generation and fault simulation. Prerequisite: EE 5374.

Processing design, microprogramming, memory architecture, including memory hierarchy, cache and virtual memory, and pipelines. An introduction to multiprocessor configurations. Prerequisites: (1) EE 4342 and EE 3376 or (2) equivalent.

Advanced topics in computer architecture, including parallel and distributed processing. Prerequisite: EE 5376.

Important issues related to design of CAD tools for VLSI chip layout, testing, and simulation. Topics include area-time optimization, floor-plan and functional block placement, routing and functional testing for large systems. Prerequisite: EE 4375.

The theory and application of protocols such as TCP, IP, Sockets, and RPCs that are employed in computer network communications. Concentrates on network protocols that are employed from the network, transport, and process layers of the simplified 4-layer model for computer communications. Prerequisite: EE 5370 or instructor approval.

Modern signal processing techniques for high range-resolution radar systems. One-and two-dimensional signals, high resolution radar, synthetic aperture radar, inverse synthetic aperture radar, radar tomography, ultrawideband radar. Prerequisite: EE 4389.

Advanced topics of contemporary interest in electrical or computer engineering. May be repeated for credit when topic varies. Prerequisite: Instructor approval.

Individual research, design, or analysis on advanced phases of electrical or computer engineering problems conducted under the direct supervision of a faculty member. The courses, including a written report, are required of all students in the non-thesis option. Prerequisite: Instructor approval.

Individual research, design, or analysis on advanced phases of electrical or computer engineering problems conducted under the direct supervision of a faculty member. The courses, including a written report, are required of all students in the non-thesis option. Prerequisites: EE 5396 and instructor approval.

Individual variable credit research in computer systems engineering. Cannot be used to satisfy minimum degree requirements. Grade of pass or fail. Prerequisites: Doctoral standing and instructor approval.

Conferences and discussions of various topics in electrical and computer engineering by faculty, graduate students, and speakers from industry and other institutions. Required of all doctoral students during each semester of full-time enrollment until preliminary exam is satisfactorily completed. Prerequisite: Doctoral standing.

Advanced topics of contemporary interest in computer systems engineering. May be repeated twice for credit when topic varies. Prerequisites: Doctoral candidacy and department approval.

Individual research in advanced phases of electrical engineering conducted under the direct supervision of a faculty member. A maximum of three credit hours may be applied toward the Ph.D. degree.

Dissertation course for doctoral students. Initial work on the dissertation.