Electrical Engineering Courses [532-562]

[[501-531] [532-562] [564-699]

ELEG 532. Solid-State Physics II. 3 crs. A continuation of the discussion of the quantum mechanics of crystalline solids with an emphasis on the physics of semiconductors. Topics include: an introduction to lattice vibrations and phonons in crystalline solids; introduction to the physics of semiconductors, the concept of effective mass in semiconductors, electrons and holes in semiconductors, carrier statistics, optical properties of semiconductors and metals, and an introduction to the quantum mechanics of superlattices and quantum well structures. Prereq.: Working knowledge of introductory quantum mechanics and intermediate electromagnetic theory.

ELEG 533. Microelectronics. 3 crs. Analysis of modern processing methods and technology in the manufacture of microelectronic devices. Topics include a device structure, diffusion theory, dynamics of oxide growth, effects of charge and contamination levels on device parameters, ion implantation, measurement techniques, elipsometry and future process technology.

ELEG 534. Electro-Optics. 3 crs. Covers lasers-- from physical phenomena to applications.

ELEG 535. Solid State Devices I. 3 crs. Course applies the concepts of solid state physics to electronic devices. Concepts of doping, electron transport and junction formation are discussed. Emphasis placed on understanding semiconductor junctions, metal-semiconductor junctions and metal oxide semiconductor junctions; discusses relative merits of each type of junction.

ELEG 536. Solid-State Microwave Devices. 3 crs. Theories of solid- state devices at microwave frequencies. Transfer-electron and avalanche diodes, transistors, device-circuit interactions.

ELEG 537. Solid State Devices II. 3 crs. Expands on ELEG 535. Covers basic device structures of junction diodes, bipolar transistors (BJTs), field effect transistors (FETs), Schottky diodes and metal oxide transistors (MOS) will be reviewed. As time permits, advanced structures, such as resonant funneling, microwave diodes and high-speed transistors will be presented. Where possible, course will be geared to device issues graduate students are investigating in the laboratory.

ELEG 541. Probability and Random Variables. 3 crs. Axioms of probability measure, random variables, functions of random variables, stochastic processes, stationary and ergodic processes, correlation and power spectrum, linear mean-square estimation, applications.

ELEG 542. Communication Theory I. 3 crs. Statistical decision theory; optimum receiver principles for vector channels with additive white Gaussian noise; performance of various digital modulation techniques; binary and M-ary orthogonal signals for coherent and noncoherent communication systems; communications in fading media.

ELEG 543. Communication Theory II. 3 crs. Bounds on performance of communication systems, union bounds and Chernoff bounds; analysis of convolutional codes, Viterbi algorithm and sequential decoders; quantization effects; performance of communication systems with combined modulation and coding over Gaussian and fading dispersive channels.

ELEG 544. Introduction to Coding Theory. 3 crs. Design and characterization of error correction and detection codes, encoder design, and forward and ARQ error correction concepts.

ELEG 545. Introduction to Detection and Estimation Theory. 3 crs. Statistical detection theory and signal and parameter estimation theory; likelihood-ratio decision rules; Bayes, maximum-likelihood, maximum-a-posterior, Neyman-Pearson, and minimum-error criteria; Cramer-Rao Bound; unbiased estimators; Kalman and Weiner filters, estimators; simple and composite hypothesis testing.

ELEG 547. Telecommunications I. 3 crs. Review of probability, random variables, random processes, and queuing theory with applications to telecommunication networking and traffic engineering (i.e. arrival processes, ccs, erlangs, etc.). Introduction to fundamental telecommunication networks and channel models, including satellites, microwave, coaxial cable and fiber-optical channels. Fundamentals of telephony, switching and networking, including message, circuit and packet switching; digital-switching theory and techniques; wide-area networks (WAN), public-data networks, local-area network (LAN), layered network architecture, protocols, and ISO reference.

ELEG 548. Telecommunications II. 3 crs. Detailed treatment of advanced topics in telecommunication systems engineering. Topics include formal protocol specification and verification techniques, protocol designs, including virtual terminal and file-transfer protocols; packet-switching concepts and standards, including APARNET, x25, x75 and packet assembly dissemble (PAD) standards (i.e., x3, x28, x29); advance networking concepts, including routing, congestion, and flow control; local area networking topics, such as topologies, protocols, and design and implementation issues.

ELEG 551. Network Theory I. 3 crs. Fundamental concepts of network analysis synthesis of real functions, characteristics of real functions, properties of 2-port networks, synthesis of voltage transfer functions and transfer matrix synthesis of grounded multiports.

ELEG 552. Advanced Network Theory II. 3 crs. Immittance of RLC networks, series-parallel realization, Darlington synthesis, cascade 1-port synthesis, even port synthesis, and three-terminal RC networks with arbitrary gain.

ELEG 561. Signal Processing I. 3 crs. Continuous-time and discrete-time, linear-time invariant systems; Fourier series and transforms, Z-transforms; DFT & FET’s, finite impulse response and infinite impulse response, digital filter windowing and digital filter characterization, design and analysis; window functions, quantization and finite word-length effects.  

ELEG 562. Signal Processing II. 3 crs. Adaptive signal processing concepts. Wiener filters and normal equations; forward and backward linear prediction, Levinson-Durbin recursion, and lattice predictors; adaptive transversal filters and algorithms (steepest-descent, LMS, LS, RLS, FLS, etc.); adaptive lattice filters and algorithms (BURG, GAL, LSL, FAST, etc.); joint process estimation and adaptive arrays.