Schedule of Classes

Boolean algebra; number systems; Boolean function synthesis; binary arithmetic; codes; combinational logic devices; sequential circuits; state machine design and implementation.

Gateway to the majors in Electrical Engineering. An overview of modern electrical engineering; communications, computers, circuits, components, controls, electromagnetics, microelectronics; principles of commercial products such as FAX, modem, CD-ROM, ATM networks.

Examination of key disciplines of computing systems: architecture, operating systems, digital logic, VLSI, networks, AI, robotics, graphics, and algorithms. Includes hardware/software laboratory tours and exercises.

Algorithms and computational methods for efficient solution of engineering problems. Introduction to engineering software tools.

Mathematical models used for electronic system design. Automata, state models, differential equations, convolution, sampling, and frequency response. Communications, signal processing, and control applications.

Digital system design and implementation; synchronous design of datapath and control; schematic/Verilog-based design, simulation, and implementation in Field Programmable Gate Arrays; timing analysis; simple CPU design; semester-end project. apath and control; schematic/Verilog-based design, simulation, and implementation in Field Programmable Gate Arrays; timing analysis; simple CPU desi

Lumped circuit elements; network equations; zero-input and zero-state responses; sinusoidal steady-state analysis; impedance; resonance; network functions; power concepts; transformers; Laplace transforms.

Introduction to the theory of matrices, vector spaces, least-squares approximation and MATLAB. Applications to communications, control and signal processing.

Representation and analysis of linear time-invariant systems primarily for the continuous time case. Convolution, Fourier series and transform, Laplace transform, controls and communications applications.

Introduction to the physical principles governing analog circuits for data conversions and data communications. Elementary device behavior for digital systems. Not available for credit to electrical engineering majors.

Basic static and dynamic electromagnetic field theory and applications; electrostatics, magnetostatics, Maxwell's equations, energy flow, plane waves incident on planar boundaries, transmission lines.

Semiconductor device characteristics and applications. Physical models of electronic conduction in solids, p-n junctions, bipolar and field effect transistors and other solid state devices. Not for credit to students who have taken 378L.

Basic analog and digital circuit design using Bipolar Junction Transistors, Field Effect Transistors, and integrated circuits.

HTML progrmming for creating home pages, installation and modification of Web server, writing progrms that offer enhanced services, manipulation of graphics, video and sound.

Organization and operation of the processor, memory and I/O of a minicomputer at the machine language level; assembly language programming; data representation and computer arithmetic.

Introduction to concepts of randomness and uncertainty: probability, random variables, statistics. Applications to digital communications, signal processing, automatic control, computer engineering and computer science.

Complex variables, Cauchy Riemann conditions, contour integration and residue theory; Fourier transform; Laplace transform; sampling theory. Discrete time filters, discrete and fast Fourier transform.

Introduction to linear algebra and matrix theory and their underlying concepts. Applications to engineering problems.

Components of power systems. Analysis techniques in electrical power generation transmission and utilization. Environmental and economic considerations in system operations and planning. Recommended preparation: 370.

Comprehensive assessment of the technical, environmental, and regulatory challenges that affect the future delivery and utilization of electric power. Case-study analysis.

Designing, building and programming mobile robots; sensors, effectors, basic control theory, control architectures, some advanced topics, illustrations of state-of-the-art. Teamwork; final project tested in a robot contest. Junior standing or higher.

Analysis, design, and experimental evaluation of transistor-level communication circuits and micro-systems. Transmission lines, impedance matching, noise, distortion, tuned amplifiers, mixers, oscillators, phase-locked loops.

Network architectures; layered protocols, network service interface; local networks; long-haul networks; internal protocols; link protocols; addressing; routing; flow control; higher level protocols.

Operation and timing of 8/16/32-bit microprocessors; asynchronous and synchronous SRAM interface; burst and pipelined bus cycles, parallel and serial I/O, interrupt controller, DMA controller, bus protocols; hardware/simulation labs. Recommended preparation: EE 457

Intensive introduction to programming principles, discrete mathematics for computing, software design and software engineering concepts. Not available for credit to computer science majors, graduate or undergraduate.

Register transfer level machine organization; MIPS instruction set architecture; performance; computer arithmetic; organization and detailed implementation of non-pipelined and pipelined processors; cache and virtual memory.

Concepts and algorithms underlying the understanding and construction of intelligent systems. Agents, problem solving, search, representation, reasoning, planning, communication, perception, robotics, neural networks.

Axiomatic foundations of probability, random variables, functions of several random variables, introduction to statistics, sequences of random variables.

Review of probability; random variables; stochastic processes; Markov chains and simple queuing theory. Applications to program and algorithm analysis; computer systems performance and reliability modeling.

Dynamic field theory and elementary solutions to Maxwell's equations. Introduction to propagation and radiation of electromagnetic fields. Prerequisite: 330.

Introductory quantum mechanics and applications. Schrodinger equation, atomic and molecular processes, time-dependent perturbation theory. Applications to lasers, solid state demos and gaseous devices. Prerequisite: 330 or graduate standing.

Electric dipole transitions; traveling wave and resonant amplifiers; laser pumping and rate equations; threshold, frequency, and power output of lasers; holography; laser communication systems.

Fundamentals of wireless communication from a device point of view. Lab experiments and design project. Recommended preparation: EE 241, EE 483

Analysis and design of digital MOS VLSI circuits including area, delay and power minimization. Laboratory assignments including design, layout, extraction, simulation and automatic synthesis.

Analysis and design techniques for CMOS analog and non-linear integrated circuits. Frequency and noise characteristics of broadband amplifiers. Feedback, oscillators, and phase-locked loops.

Analysis of linear control systems; continuous and sampled-data systems, various stability criteria; frequency response and root locus compensation techniques.

Fundamentals of Digital Signal Processing covering: discrete time linear systems, quantization, sampling, Z-transforms, Fourier transforms, FFTs and filter design.

Individual research and readings. Not available for graduate credit.

Semiconductors, dielectrics and metals, thermoelectric effects, magnetism, magnetic resonance and superconductivity. Prereq: 501

Laboratory oriented with lectures keyed to practical procedures and processes. Solid-state fabrication and analysis fundamentals; basic device construction techniques. Prerequisite: BSEE

Semiconductor bonds, crystallography, band structure assumptions, group theory, band structure results, k.p method, quantum wells, wires and dots, superlattices, amorphous, organic semiconductors, defects, statistics, surfaces.

Distribution system planning, load characteristics, substation, primary and secondary networks, cables and overhead conductors, voltage regulation and capacitor application, effects of industry deregulation.

Speech production, acoustics, perception, synthesis, compression, recognition, transmission. Coding for speech, music, and CD-quality. Feature extraction. Echo cancellation. Audio, visual synchronization. Multimedia, Internet use.

Basic graduate level optics including wave optics, foundations of geometric optics, optical elements, aberration theory, Hermite-Gaussian beams, multilayer structures, and matrix techniques. Recommended preparation: 470 or graduate standing.

Anisotropic materials and devices; properties of metals; design and theory of selected optical instruments; properties of electrooptic, acoustooptic, and spatial light modulators; optical detectors. Prerequisite: 529.

The mobile communication channel; techniques used to combat the channel; cellular communications; multiple-access techniques; example mobile communication systems. Recommended preparation: EE 567

a: MOSFET operation and models; voltage references and biasing; elementary amplifier configurations; design techniques for high-speed operational amplifiers, comparators and transconductors; compensation methods.

Integrated-circuit technologies for mixed-signal communication and data systems. Constituent device models and their limitations. Contemporary research topics.

Quantum mechanics for engineering majors who work with solid state devices, quantum electronics, and photonics. Schroedinger equation, perturbation theory, electronic and optical processes.

Theory and realization of passive and transconductance-based active filters for radio frequency communications. Distributed and quasi-distributed passive filters. Circuit testing via scattering parameters.

Introduction to software methods in robotics including sensing, sensor fusion, estimation, fault tolerance, sensor planning, robot control architectures, planning and learning.

Applications of stochastic modeling and optimization techniques to communication network design and analysis. Data link control; performance models; multi-access channels; routing and flow control.

Signal propagation, reflections from targets; radar equation; detection of scintillating targets; resolution; ambiguity functions; clutter rejection; tracking radars.

ATM and BISDN, switch designs, high speed local, campus and metropolitan area networks, lightwave and photonic networks, network management techniques, applications and gigabit testbeds.

Computer architecture from a design perspective: Pipelined processors, speculative execution, VLIW, vector processors, memory systems, interconnection networks, shared-memory and message-passing multiprocessors, chip multiprocessors.

State-of-the-art optical fiber communication system. Emphasis on optoelectronic-device and communication-systems issues necessary to provide high-speed and/or networked optical communications. Recommended preparation: EE 338; basic knowledge of optics, semiconductor, and communications concepts.

Foundations of symbolic intelligent systems, search, logic, knowledge representation, planning, learning. Recommended preparation: good programming and algorithm analysis skills

a: Random vectors, sequences, and functions. Linear transformations, second moment theory, spectral densities, narrowband processes, Gaussian processes, correlation detection, linear minimum mean square error estimation.

Parameter estimation and state estimation techniques including: least squares, BLUE, maximum-likelihood, maximum a posteriori, Kalman-prediction, Kalman-filtering and Kalman smoothing, and extended Kalman filtering.

Elementary statistical design theory with applications to the design of digital communications receivers and radar receivers; signal design in digital communications.

Information measures; asymptotic equipartition property; source coding theorem; noiseless coding; cryptography, channel coding theorem; rate distortion theory; Gaussian channels; multiple user source and channel theory. Prerequisite: 464; 565a before b.

Analysis of communication systems operating from very low to optical frequencies. Comparison of modulation and detection methods. System components description. Optimum design of communication systems. Recommended preparation: EE 441.

Image sampling, 2-D image transform, image enhancement, geometric image modification, mophologic processing, edge detection, texture analysis, image filtering and restoration. Graduate standing. Recommended preparation: 401, 464

Static and dynamic electromagnetic field theory; solution of scalar and vector boundary value problems; Kirchhoff radiation theory; geometrical optics and geometrical diffraction theory. Prerequisite: 470.

Description and recognition of objects, shape analysis, edge and region segmentation, texture, knowledge based systems, image understanding.

Integrated circuit fabrication; circuit simulation; basic device physics; simple device layout: structured chip design; timing; project chip; MOS logic; system design; silicon compilers.

VLSI design project; chip level design issues: power and clock distribution, packaging, I/O; design techniques; testability; chip fabrication and test.

Mathematical techniques employed in computer-aided-design systems, including: graph theory, algorighmic and heuristic techniques for combinatorial problems, data structures and modeling. Recommended preparation: CSCI 570, CSCI 455.

Nonlinear systems, Lyapunov stability, parameter identification, direct and indirect adaptive control for linear and nonlinear systems. Design analysis, stability, robustness and applications. bBacksteeping, feedback linearization.

Research leading to the master's degree. Maximum units which may be applied to the degree to be determined by the department. Graded CR/NC.

Principles of magnetic resonance imaging. Spin physics, Fourier-based acquisition and reconstruction, generation of tissue contrast, fast imaging, artifact correction, advanced image reconstruction. Recommended preparation: EE 441, EE 464, BME 525.

Feedback performance analysis; robustness and stability margins; sensitivity; disturbance attenuation; design tradeoffs; singular value, characteristic locus, and inverse Nyquist array design methods. Prerequisite: 482 and 585.

Credit on acceptance of Thesis. Graded CR/NC.

For the Master's Degree. Credit on acceptance of Thesis. Graded CR/NC.

For the Master's Degree. Credit on acceptance of Thesis. Graded CR/NC.

The theory and application of wavelet decomposition of signals. Includes subband coding, image compression, multiresolution signal processing, filter banks, and time-frequency tilings.

The course content will be selected each semester to reflect current trends and developments in the field of electrical engineering.

Optimization of wireless and ad-hoc mobile networks; opportunistic scheduling, flow control; backpressure routing; queue stability; energy-delay and utility-delay tradeoffs. Recommended preparation: EE 549 or EE 550.

Current research topics related to microprocessor architecture. Dynamically/statically scheduled processors, multithreading, chip multiprocessors, systems on a chip. Power, performance, complexity, dependability issues. Impact of technology.

Fault models; test generation; fault simulation; self-checking and self-testing circuits; design for testability; fault tolerant design techniques; case studies.

VLSI models; measures of area, volume and time; mapping algorithms; systolic arrays; area time tradeoffs; application to signal and image processing problems.

Laboratory study of specific problems by candidates for the degree Engineer in Electrical Engineering. Graded CR/NC.

Research leading to the doctorate. Maximum units which may be applied to the degree to be determined by the department. Graded CR/NC.

Credit on acceptance of Dissertation. Graded CR/NC.

Credit on acceptance of Dissertation. Graded CR/NC.

Credit on acceptance of Dissertation. Graded CR/NC.

Credit on acceptance of Dissertation. Graded CR/NC.

Credit on acceptance of Dissertation. Graded CR/NC.