Prerequisite: 341. Introduction to digital communication theory and systems; coding of analog and digital information: digital modulation techniques, Introduction to information theory.

Prerequisite: 354 or equivalent. Theory of EM radiation. Wire antennas, arrays, receiving antennas, reciprocity Integral equations for induced currents, self and mutual impedances. Equivalent principle, radiation from aperture antennas.

Prerequisite: 354 or equivalent. Dynamic fields, Maxwell’s equation and wave equations. Field analysis of wave guides, microwave components, techniques and systems.

Prerequisite: 263. Electronic circuitry considerations in logic circuits, methods of sequential, threshold logic analysis, synthesis, development of computer arithmetic elements; memory, storage devices.

Microprocessor structure, Bus Interface. Digital controller devices and their relationship to both the microcomputer and physical environment.

Prerequisite: 371 State variable analysis, design of control systems. Discrete systems, analysis, digital computer control. Experiments include hybrid, AC control system, digital computer control.

Prerequisite: 332. Elements of power electronics circuits. Rectifiers, converters, inverters analysis and design.

Prerequisite: 483/583 or equivalent. Experiments on different types of power electronic con­verters: AC/DC, DC/DC, DC/AD, and AC/AC. Design project to include design, simulation, building, and testing of a power electronic circuit.

Prerequisite: 381. Application of electric machines, choice of motor for particular drive. Appli­cation of power semiconductor circuits in electric machinery.

(May be taken more than once.) Prerequisite: permission of department chair. Special topics in electrical engineering.

Prerequisite: 447 Analysis, interpretation and smoothing of engineering data through applica­tion of statistical and probability methods.

Prerequisite: 333. Relations between continuous-and discrete-time Fourier expansions. Sam­pling aliasing, sampling rate conversion. Operator concepts in signal processing, all-pass systems, FFT digital filter design.

Prerequisites: 646 or permission of instructor. Methods and theory of spectral analysis and signal modeling are investigated in detail. Applications of theory include speech processing, optimal filtering, biomedical systems, digital communications.

Prerequisite: permission of instructor. Electrostatics: uniqueness theorem, boundary-value problems, constructions of Green’s functions. Magnetostatics. Electrodynamics: energy and momentum, EM potentials, Stratton-Chu formulation, radiation. dyadic Green’s functions.

Prerequisite: 650 or permission of the course instructor. Scattering; TEM waves; guided wave theory: transmission lines, closed-boundary guides and cavities, modal orthogonality and com­pleteness, Greens function, excitation and coupling, open-boundary waveguides.

Prerequisite: 453/553 or equivalent. Basic properties and recent advances of microstrip anten­nas. Analysis and design of reflector antennas. Analysis and synthesis of linear and planar antenna arrays.

Prerequisite: 549. Theory and analysis of wireless communication systems, wireless propagation, multiple access, modulation, demodulation, multipath channel characterization, diversity, cellular, and PCS services and standards.

Prerequisite: permission of department chair. Discussions of recent advances in electronics.

Prerequisite: 472/572 or permission. Theory, techniques for analysis, design of discrete control systems. Z-transform technique, stability analysis, frequency response. Optimization. Digital computer control.

Corequisite: 674 or instructor permission. Designed to provide students with qualitative insights into nonlinear systems as well as techniques for controlling such systems. Topics include describing functions, Popov and circle criteria, jump resonances, subharmonics, phase plane, conservative systems, Lyapunov theory, bifurcation of attractors, and routes to chaos.

Prerequisite: 371 or instructor permission. Advance modem control theory for linear systems. Controllability, observability, minimal realizations of multivariate systems, stability, state vari­able feedback, estimation, and an introduction to optimal control.

Prerequisite: 472 or permission of the instructor. This course is designed to provide the con­trol engineer with tools necessary to simulate continuous systems on a digital computer. Topics include linear multistep methods, nonlinear methods, stiff systems, optimization, parallel computing and simulations languages.

Prerequisite: 674. Formulation of optimization problems; application of variational calculus, maximum principle and optimality principle to control problems. Computational techniques in optimization.

Prerequisites: 483/583 or equivalent. Averaged and sampled-data models for rectifiers and DC/DC converters. Small-and large-signal models about the cyclic steady-state. Feedback con­trols using classical and modern approaches.

Prerequisites: graduate status in Electrical Engineering. Voltage and mechanical differential equations of electric machines, analytical and numerical methods for solution of a system of machine differential equations.

Prerequisite: 483/583 or equivalent. Effects of the nonidealities of the power circuit compo­nents, magnetics, base and gate drives, thyristor commutation circuits, heat transfer and ther­mal issues. Analysis and design of advanced power circuits.

Prerequisites: graduate student in Electrical Engineering. Elements of control circuits for elec­tric drives, techniques for torque/speed control of electric machines.

Prerequisite: graduate status in Electrical Engineering. Structure and physics of power semi­conductor devices: diodes, Bipolar junction transistors, MOSFETs, Thyristors, Power MOS­Bipolar devices (IGT,MCT). Emphasis on the issues that characterize these devices from the lower power semiconductor devices.

(May be taken more than once) Prerequisite: permission of department chair. For a qualified graduate student. Supervised research or investigation in major field of training or experience. Credits dependent upon nature and intent of project.

Prerequisite: Permission of advisor. (May be repeated.) Research on a suitable topic in electrical engineering culminating in a master’s thesis.

Prerequisite: permission of department chair. Research and thesis on some suitable topic in electrical engineering.

Prerequisite: 651. Introduction to advanced techniques in fields. Topics include application of Green’s function techniques and related boundary value problems.

Prerequisite: 674 and a course in Real Analysis or equivalent. Covers topics related to the design of robust control systems. The synthesis of controllers which yield stable closed-loop systems will be considered. The H8-optimality criterion for controller design is included. Special empha­sis will be given to the robust stabilization problem and the disturbance attenuation problem.

Prerequisite: 674. Input-output and state-space characterization of robust control systems, and design techniques based on the algebraic Riccati equation. Decentralized and reliable control design methodologies.

Prerequisite: 677. Advanced state-feedback optimal control. Output-feedback issues, including loop transfer recovery, optimal observer design, reduced-order controllers, frequency weight­ing, and decentralized control.

Prerequisite: 776. Discussions of recent advances in control systems.

(May be taken more than once) Prerequisite: permission of department chair. Advanced level coverage of specialized topics. For student seeking Ph.D. in engineering.

(May be repeated) Prerequisite: approval of dissertation director Preliminary investigations prior to submission of a dissertation proposal to the Interdisciplinary Doctoral Committee.

(May be repeated) Prerequisite: acceptance of research proposal by the Interdisciplinary Doctor­al Committee and approval of the dissertation director. Original research by the doctoral student.