# Electrical and Computer Engineering (ECE)

### Electrical and Computer Engineering

101 Introduction to Information Technology (3:3:1). Introduces students to the fundamental concepts in information technology that provide the technical underpinning for state-of-the-art applications. Both fundamental engineering skills and a perspective on the range of information technology is presented through lectures and hands-on experiments. Additionally, the historical development and social implications of efforts in information technology form an integral part of the course. f,s

201 Introduction to Electrical Engineering (3:3:1). Prerequisite: A grade of C or better in MATH 113. Provides a technically more rigorous introduction to problems and tools commonly encountered by electrical engineers. Students are introduced to mathematical modeling of engineering problems and their solutions. Standard software packages for electrical engineering are introduced as tools to simulate engineering problems on a computer. Mathematical and computer models are related to physical reality provided by hands-on experiments. f,s

220 Signals and Systems I (3:3:1). Prerequisite: C or better in ECE 201 or equivalent; corequisites: MATH 203, 214. First of a two-semester sequence of courses that provide the mathematical background for many ECE courses taken in the junior and senior years. This course introduces students to methods of representing continuous-time signals and systems and the interaction between signals and systems. Analysis of signals and systems via differential equations and transform methods is discussed. Laplace and Fourier transforms as convenient analysis tools are presented, and the powerful concept of frequency response of systems is emphasized. Stability of systems is studied in both the time and frequency domains. Application examples from communications, circuits, control, and signal processing are presented. f,s,sum

280 Electric Circuit Analysis (5:4:2). Prerequisites: Grade of C or better in PHYS 260 and 261; corequisite: ECE 220 must be taken concurrently with or before ECE 280. Builds on the simple circuit concepts (current, voltage, ohm's Law, Kirchhoff Voltage Law) introduced in PHYS 260. Circuit analysis using superposition, equivalent circuits, transient and steady state analysis of RL, RC, and RLC circuits. Applications of Laplace transform in circuit analysis, sinusoidal excitations and phasors, resonance, filters, AC steady-state analysis, coupled coils, and three phase circuits. A lab demonstrating and investigating circuit analysis concepts is included. f,s,sum

301 Digital Electronics (3:2:2). Course is not intended for those majoring in electrical or computer engineering. Introduction to digital systems, circuits, and computers. Topics include binary systems and codes, digital logic gates and circuits, microelectronics and integrated circuits, coding and multiplexing, multivibrators, shift registers, counters, A/D onverters, and elementary computer architecture. f,s

303 Digital Design/Intro Assembly Language (3:3:0). Prerequisites: CS 211 or IT 101, 108, and 212. Introduction to digital systems, circuits, and computers. Topics include binary systems and codes, digital logic gates and circuits, encoding and multiplexing, shift registers, counters, and elementary computer architecture/MIPS computer organization. Assembly language, including instruction format, data definition, load/store/arithmetic instructions, and addressing. A laboratory is included in this course. (Not intended for those majoring in electrical or computer engineering.) f,s

305 Electromagnetic Theory (3:3:0). Prerequisites: PHYS 260 and a grade of C or better in MATH 214. Static and time varying electric and magnetic fields, dielectrics, magnetization, Maxwell's Equations, and introduction to transmission lines. Course uses vector calculus and algebra of complex numbers. f,s

320 Signals and Systems II (3:3:1). Prerequisite: Grade of C or better in ECE 220 and MATH 203. Second of a two-semester sequence of courses that provide the mathematical background for many ECE courses taken in the junior and senior years. This course provides students with methods of representing and analyzing discrete-time signals and systems. The effects of converting from continuous-time to discrete time are studied, and the Z-transform is presented as a convenient analysis tool. The powerful concept of frequency response of systems developed in the first semester of the sequence continues to be emphasized. Random signals are studied in both continuous time and discrete time. Application examples from communications, circuits, control, and signal processing are presented. f,s,sum

331 Digital System Design (3:3:0). Corequisites: ECE 280 and 332. ECE 332 should be taken concurrently with ECE 331. Credit may not be received for ECE 301 and 331. Principles of digital logic and digital system design and their implementation in VHDL. Topics include number systems; Boolean algebra; analysis, design, and minimization of combinational logic circuits; analysis and design of synchronous and asynchronous finite state machines; and an introduction to VHDL and behavioral modeling of combinational and sequential circuits. f,s

332 Digital Electronics and Logic Design Lab (1:0:3). Prerequisite: PHYS 261 or 265 or permission of instructor; corequisite: ECE 331. Lab associated with ECE 331. f,s,sum

333 Linear Electronics I (3:3:0). Prerequisite: Grade of C or better in ECE 280. ECE 334 is normally taken concurrently with ECE 333. Principles of operation and application of electron devices and linear circuits. Topics include semiconductor properties, diodes, bipolar and field effect transistors, biasing, amplifiers, frequency response, operational amplifiers, and analog design. f,s,sum

334 Linear Electronics Lab I (1:0:3). Prerequisite: PHYS 261 or 265 or permission of instructor; corequisite: ECE 333. Lab associated with ECE 333. f,s,sum

410 Introduction to Signal Processing (3:3:0). Prerequisites: Grade of C or better in ECE 320 and STAT 346. Introduction to statistical signal processing. The course reviews probability theory with emphasis on continuous random variables and transformations; treatment of discrete-time signals with introduction to sampling and filtering of random signals; and spectral analysis of random signals, detection of signals in noise, and estimation of signal parameters.f

421/SYST 421 Classical Systems and Control Theory (3:3:0). Prerequisite: A grade of C or better in ECE 220 or permission of instructor. Introduction to the analysis and synthesis of feedback systems. Course covers functional description of linear and nonlinear systems, block diagrams, and signal flow graphs; state-space representation of dynamical systems, frequency response methods, and Root Locus, Nyquist, and other stability criteria. Performance indices and error criteria, and applications to mechanical and electromechanical control systems are also discussed. f,s,sum

422 Digital Control Systems (3:3:0). Prerequisite: A grade of C or better in ECE 320 and 421. Introduction to the analysis and design of digital control systems, Z-transform, discrete linear systems, frequency domain, and state variable techniques. Use of microcomputers in control systems is discussed. s

429 Control Systems Lab (1:0:3). Prerequisite: A grade of C or better in ECE 421. Laboratory experiments for topics in control systems analysis, design, and implementation with an emphasis on the use of microcomputers. s

430 Principles of Semiconductor Devices (3:3:0). Prerequisites: MATH 214, ECE 305, and a grade of C or better in ECE 333, or permission of instructor. Introduction to solid state physics and its application to semiconductors and semiconductor devices. Topics include band theory, doping, p-n junctions, diffusion theory, low-frequency circuits, devices including bipolar transistor, MOSFET, CMOS, and photo transistors. s

431 Digital Circuit Design (3:3:0). Prerequisites: A grade of C or better in ECE 331 and 333. Analysis and design of discrete and integrated switching circuits. Topics include the transient characteristics of diodes, bipolar, and field-effect transistors; MOS and bipolar inverters; nonregenerative and regenerative circuits; TTL, ECL, IIL, NMOS, and CMOS technologies; semiconductor memories; VLSI design principles; and SPICE circuit analysis.f,s

433 Linear Electronics II (3:3:0). Prerequisite: A grade of C or better in ECE 333. Second course in linear electronics covering the following topics: differential amplifiers, feedback circuits, power amplifiers, feedback amplifier frequency response, analog integrated circuits, operational amplifier systems, oscillators, wide band and microwave amplifiers, and computer-aided design. s

434 Linear Electronics II Laboratory (1:0:3). Prerequisite: ECE 334; corequisite: ECE 433. Second lab course in linear electronics involving analysis and design of the topics listed in ECE 433. f,s

435 Digital Circuit Design Laboratory (1:0:3). Prerequisite: ECE 334; corequisite: ECE 431. Lab experiments for topics covered in ECE 431. f,s

437 Principles of Microelectronic Device Fabrication (3:2:3). Prerequisites: ECE 333 or 430 or permission of instructor. Introduces students to the fundamentals of microelectronic semiconductor device fabrication technology. The processing steps include photolithography, oxidation, diffusion, ion-implantation, chemical vapor deposition, ohmic contact metalization, interconnects, packaging, MOS process integration, and bipolar process integration, etc. A laboratory project involving the above mentioned processing steps will be an integral part of the course.

442 Digital Computer Design and Interfacing (3:3:0). Prerequisite: ECE 445. Overview of digital computer development. Computer design principles, design of processors, instruction sets, memory systems, cache, interface, RISC principles, and principles of pipelining and pipeline hazards are examined. Instruction-level parallelism, and superscalar and superpipelined systems. Course presents an overview of modern RISC-type systems. s

445 Computer Organization (3:3:0). Prerequisite: Grade of C or better in ECE 331. General overview of the operation of a digital computer. Topics include computer arithmetic, the arithmetic unit, hardwired and microprogrammed control, memory, register-to-register, input-output operations, and behavioral modeling of computer organization using VHDL. f,s,sum

447 Single-Chip Microcomputers (4:3:3). Prerequisites: CS 211, ECE 332, and 445, all with a grade of C or better, or permission of instructor. Designing with single-chip microcomputers and microcomputer interfacing. Topics include the role of microcomputers as compared with microprocessors and other computers, microcomputer architecture and organization, real-time control issues, assembly language programming for control, design of control software, input/output methods, design tools, and available single-chip microcomputers. Students select a project and design and construct a system including a single-chip microcomputer and the ancillary hardware to implement a control system. Completing this course with a C or better satisfies the university's general education synthesis requirement. f

449 Computer Design Lab (1:0:3). Prerequisites: ECE 332 and 445. A laboratory course providing experience in the design and fabrication of a digital computer using field programmable arrays (FPGA) and/or other VLSI-integrated circuits. The course includes the specification of a simple computer using VHDL, simulation of the computer, and the fabrication of the computer in programmable logic devices (FPGA, PLA, PAL, etc). A comparison is made between the simulation and the hardware implementation. s

450 Introduction to Robotics (3:3:0). Prerequisite: ECE 320. Introduction to robotic manipulator systems. Topics include an overview of manipulation tasks and automation requirements; actuators, sensors, and computer interfaces; arm and hand kinematics; path, velocity, and force control; elements of computer vision; and real-time programming languages. Design projects are conceived, simulated, and tested by the students. f

460 Communication and Information Theory (3:3:0). Prerequisites: A grade of C or better in ECE 220 and in STAT 346, or permission of instructor. Introduction to analog and digital communications. Topics include: review of important concepts from signals and systems theory and from probability theory, Gaussian processes and power spectral density, digital transmission through additive white Gaussian channels, sampling and pulse code modulation, analog signal transmission and reception using amplitude, frequency and phase modulation, affects of noise on analog communication systems.

461 Communication Engineering Laboratory (1:0:3). Prerequisites: ECE 460 and ECE 334. Lab experiments in the analog and digital communication areas covered in ECE 460. f,s,sum

462 Data and Computer Communications (3:3:0). Prerequisite: STAT 346 or 344 or permission of instructor. Introduction to modern data communications and computer networks. Topics include point-to-point communication links and transmission of digital information, modems, and codecs, packet switching, multiplexing and concentrator design, multiaccess and broadcasting, local area networks, wide area networks, and ISDN. Course discusses the architectures and protocols for computer networks and the concept of OSI reference model, the OSI seven layers; physical interfaces and protocols, data link control layer, and network layer. Examples of data networks are provided. s

463 Digital Communications Systems (3:3:0). Prerequisite: ECE 460. Introduction to digital transmission systems. Topics include quantization, digital coding of analog waveforms, PCM, DPCM, DM, baseband transmission, digital modulation schemes, ASK, FSK, PSK, MSK, QAM, pulse shaping, intersymbol interference, partial response, voice-band and wideband modems, digital cable systems, regenerative repeaters, clock recovery and jitter, multipath fading, digital radio design, optimal receiver design, MAP receiver, and probability of error.

464 Modern Filter Design (3:3:0). Prerequisite: ECE 320. Solution to the filtering approximation problem via Butterworth, Chebyshev, Elliptic, and Bessel approaches. The course covers transfer function scaling and type transformations, review of Z-transform, time and frequency domain effects of A/D and D/A conversion, and Digital filter design and implementation. s

465 Computer Networking Protocols (3:3:0). Prerequisites: STAT 346 or 344, CS 211, and either ECE 331 or 301. An introduction to computer networking protocols and concepts, with emphasis on the Internet and the Internet Protocol Suite. Course coverage includes computer networking protocols at the application, transport, and network layers, including multimedia networking protocols. Other topics include network security and network management.

467 Network Implementation Laboratory (1:0:3). Prerequisite: ECE 462. Corequisite: ECE 465. Course provides hands-on experience in the implementation, configuration, and operation of local and wide area networks in a live laboratory environment equipped with modern local and wide area network devices and technologies. Students are exposed to real-world computer networking scenarios including local area network implementation, asynchronous communication setup, and wide area network implementation using various protocols and technologies covering all layers of the computer network protocol stack.

469 Microwave Circuit Laboratory (1:1:2). Prerequisites: ECE 305 and 334, or permission of instructor. Introduction to microwave engineering laboratory techniques and measurements. Design, fabrication, and test of microwave microstrip circuits.

491 Engineering Seminar (1:1:0). Prerequisite: 90 credits in electrical or computer engineering program. Engineering ethics, professionalism, the role of the engineer in society, current topics, and employment opportunities. f,s

492 Senior Advanced Design Project I (1:1:0). Prerequisite: Senior status in electrical engineering program. Conception of the senior design project and determination of the feasibility of the proposed project. Work includes developing a preliminary design and an implementation plan. f,s

493 Senior Advanced Design Project II (2:2:0). Prerequisite: ECE 492, preferably in the preceding semester. Implementation of project for which preliminary work was done in ECE 492. Project includes designing, constructing of hardware, writing required software, conducting experiments or studies, and testing the complete system. Oral and written reports are required during the project and also at the project's completion. Completing this course with a C or better satisfies the university's general education synthesis requirement. f,s

498 Independent Study in Electrical and Computer Engineering (1-3:0:0). Directed self-study of special topics of current interest in ECE. Topic must be arranged with an instructor and approved by the department chair before registering. Course can be taken for a maximum of three credits. f,s

499 Special Topics in Electrical Engineering (1-3:0:0). Prerequisites: Permission of instructor; specific prerequisites vary with the nature of the topic. Topics of special interest to undergraduates. May be repeated for a maximum of six credits if the topics are substantially different. f,s

511 Microprocessors (3:3:0). Prerequisite: ECE 445 or equivalent. Introduction to microprocessor software and hardware architecture. Fundamentals of microprocessor system integration, instruction set design, programming memory interfacing, input/output, direct memory access and interrupt interfacing. Microprocessor architecture evolution. Study of the Intel family of microprocessors. Review of the other microprocessor families and of trends in microprocessor design. f

513 Applied Electromagnetic Theory (3:3:0). Prerequisite: ECE 305 or equivalent. Maxwell's Equations, electromagnetic wave propagation, wave guides, transmission lines, radiation, and antennas. f

520 Applications of Analog and Digital Integrated Circuits (3:3:0) Prerequisites: ECE 433 and 431 or permission of instructor. Study of analog and digital integrated circuits mainly from communications applications point of view. Topics consist of the analog, digital, and mixed (analog/digital) building block circuits used in system design including operational amplifiers, comparators, voltage regulators, video amplifiers, oscillators, modulators, phaselocked loops, multiplexers, active filters, A/D and D/A converters, and optoelectronic circuits.

521 Modern Systems Theory (3:3:0). Prerequisite: ECE 320 or equivalent. Introduction to linear systems theory. Course covers a review of linear algebra, state variables, state space description of dynamic systems, an analysis of continuous-time and discrete-time linear systems, controllability and observability of linear systems, stability theory, and an introduction to the design of linear feedback control systems. f,s

528 Introduction to Random Processes in Electrical and Computer Engineering (3:3:0). Prerequisites: ECE 220 and STAT 346 or permission of instructor. Probability and random processes are fundamental to communications, control, signal processing, and computer networks. This course provides the basic theory and some important applications. Topics include probability concepts and axioms, stationarity and ergodicity, random variables and vectors, functions of random variables, expectation and variance, conditional expectation, moment generating and characteristic functions, random processes (such as white noise, Gaussian, etc), autocorrelation and power spectral density, linear filtering of random processes, basic ideas of estimation and detection.

535 Digital Signal Processing (3:3:0). Prerequisites: ECE 320 and 528 or permission of instructor. Representation analysis and design of digital signals and systems. Course covers sampling and quantization, Z-transform and Discrete Fourier Transform, digital filter realizations, design techniques for recursive and nonrecursive filters, the Fast Fourier Transform algorithms, and spectrum analysis. Additional topics may include adaptive filtering, homomorphic digital signal processing, digital interpolation and decimation, and VLSI signal processors. s

537 Introduction to Digital Image Processing (DIP) (3:3:0) Prerequisite: Graduate standing. First course in digital image processing in which the concepts of scanning systems, focal plane array detectors, data acquisition methods, display hardware, image preprocessing algorithms, feature extraction, and basic image processing methods are introduced. A semester-long image process ing project is included utilizing modern image processing system prototyping software.

540/TCOM 500 Modern Telecommunications (3:3:0). Prerequisite: Graduate standing. For students outside of the program. Cannot be applied toward degrees in electrical or computer engineering. Comprehensive overview of telecommunications including current status and future directions. Topics include a review of the evolution of telecommunications; voice and data services; basics of signals and noise, digital transmission, network architecture, and protocols; local area, metropolitan, and wide area networks and narrowband ISDN; asynchronous transfer mode and broadband ISDN; and satellite systems, optical communications, cellular radio, personal communication systems, and multimedia services. Examples of real-life networks are provided to illustrate the basic concepts and gain further insight.

542 Computer Network Architectures and Protocols (3:3:0). Prerequisites: STAT 344 or equivalent, and graduate standing in the School of IT&E. Introduction to the architectures and protocols of computer networks and the concept of packet switching. Topics include ISO standard layer model, physical interfaces and protocols, data link control, multiaccess techniques, packet switching, routing and flow control, network topology, data communication subsystems, error control coding, local area network, satellite packet broadcasting, packet radio, interconnection of packet-switching networks, network security and privacy, and various examples of computer networks. f,s,sum

545 Introduction to VHDL (3:3:0). Prerequisite: Graduate standing. Course introduces the concept of a hardware description language and hardware design through VHDL. An understanding of the impact and uses of VHDL is emphasized through VHDL models of typical digital computers and processors. There is a semester long project in which a digital system is implemented and simulated in VHDL. f

546 Parallel Computer Architectures (3:3:0). Prerequisite: ECE 445. Study of computation schemata, Petri nets, parallel floating point operations, instruction handling techniques, pipeline systems, functional parallelism, memory organization, arbitration and deadlock, pipeline computer architecture, and massive parallelism.

548 Sequential Machine Theory (3:3:0). Prerequisite: ECE 331 or permission of instructor. Theoretical study of sequential machines. Topics include sets, relations and lattices, switching algebra, functional decomposition, iterative networks, representation, minimization and transformation of sequential machines, state identification, state recognizers, and linear and stochastic sequential machines. s

549 Theory and Applications of Artificial Neural Networks (3:0:0). Prerequisite: ECE 320 or equivalent. Emphasis on dynamical systems approach to neural networks. Course covers simple tools for neural network analysis, Liapunov stability, gradient descent minimization techniques, simulated annealing, the perceptron, learning in feedforward and recurrent networks, backpropagation, Boltzmann machines, recurrent backpropagation, adaptive resonance theory, self-organizing feature maps, associative memory, neural networks for optimization, and implementation issues.

563 Introduction to Microwave Engineering (3:3:0). Prerequisite: ECE 305 or permission of instructor. Study of the generation, control, and propagation of microwave signals. Course examines transmission lines, waveguides, resonators, scattering parameters, Smith charts, measurement techniques, instrumentation, and microwave striplines and microstrips.

565 Introduction to Optical Electronics (3:3:0). Prerequisites: ECE 305 and 333. Introduction to optoelectronic devices for generation, detection, and modulation of light. Topics include electrooptic modulators, gas, solid state and semiconductor lasers, photodetectors, and detector arrays.

567 Optical Fiber Communications (3:3:0). Prerequisite: ECE 565 or permission of instructor. Study of the components and integration of fiber-optic transmission systems. Topics include optical fibers, signal degradation, optical sources, power launching and coupling, photodetectors, receiver circuits, link analysis, and optical measurements.

584 Semiconductor Device Fundamentals (3:3:0). Prerequisite: ECE 430 or permission of instructor. Study of the principals of operation of semiconductor devices based on solid state physics. Topics include the band theory of solids, intrinsic and extrinsic semiconductor properties, pn junction diode, bipolar junction transistor, Schottky diode, metal insulator semiconductor junctions, field-effect transistors, and heterostructures. f

586 Digital Integrated Circuits (3:3:0). Prerequisites: ECE 331 and 430, or permission of instructor. Study of the design and analysis of digital integrated circuits, with emphasis on CMOS technology. Review of MOSFET operation and SPICE modeling. Analysis and design of basic inverter circuits. Structure and operation of combinational and sequential logic gates. Dynamic logic circuits, chip I/O circuits, and a brief introduction to VLSI methodologies. f

587 Design of Analog Integrated Circuits (3:3:0). Prerequisites: ECE 333 and 430, or permission of instructor. Study of the design methodologies of CMOS based analog integrated circuits. Topics include differential amplifiers, current sources, output stages, operational amplifiers, comparators, frequency response, noise, computer-aided design.f

590 Selected Topics in Engineering (3:3:0). Prerequisite: Graduate standing or permission of department. Selected topics from recent developments and applications in various engineering disciplines. Course is designed to help the professional engineering community keep abreast of current developments.

611 Advanced Microprocessors (3:3:0). Prerequisite: ECE 511 or permission of instructor. Covers principles of advanced 32-bit and 64-bit microprocessors. Microprocessor structure and architecture, pipelined execution and pipeline hazards, instruction-level parallelism, superscalar and superpipelined execution, thread-level parallelism. Intel IA-32, Intel and HP IA-64, and Motorola M68000 families are studied in detail. RISC principles and advantages. Examples of RISC-type microprocessors.

612 Real-Time Embedded Systems (3:3:0). Prerequisite: ECE 511 or permission of instructor. A study of real-time operating systems and device drivers for embedded computers. The emphasis is on microprocessor systems and associated input device sampling strategies, including interrupt driven and polled I/O. Basic input/output operations, analog to digital conversion methods, I/O programming techniques and process, and communication control methodologies are covered. The course involves a design project.

620 Optimal Control Theory (3:3:0). Prerequisite: ECE 521 or permission of instructor. Detailed treatment of optimal control theory and its applications. Topics include system dynamics and performance criteria, the calculus of variations and Pontryagin's minimum principle, computational methods in optimal control, and applications of optimal control.

621 Systems Identification (3:3:0). Prerequisites: ECE 521 and 528 or permission of instructor. Foundations of parameter estimation using the least squares method. Identification of static and discrete dynamic system models. Batch and recursive (online) approaches. Model order estimation. Persistent excitation requirements. The effect of noise on model accuracy. Nonlinear estimation methods: generalized least squares and maximum likelihood. Applications in control, diagnostics, and economy.

624 Control Systems (3:3:0). Prerequisites: ECE 421 and 521, or permission of instructor. Analysis, design, and implementation of digital feedback control systems. Topics include discrete-time models, pole-placement, controller design methods, MIMO system decoupling, and observer design. Course may include a simulation and design project.

630 Statistical Communication Theory (3:3:0). Prerequisite: ECE 528. Introduction to optimum receiver design in the additive white Gaussian noise environment. Topics include efficient signal set design, modulation techniques, matched filter, correlation detector, coherent and noncoherent detections, fading and diversity channels, random amplitude and phase, diversity techniques, performance bounds of communications, and waveform communications.

633 Coding Theory (3:3:0). Prerequisite: ECE 528 or permission of instructor. Mathematics of coding groups, rings, and fields; polynomial algebra. Topics include linear block codes, generator and parity check matrices; error syndromes, binary cyclic codes, convolutional codes; and implementation of encoders and decoders.

635 Adaptive Signal Processing (3:3:0). Prerequisite: ECE 528. Introduction to adaptive systems and adaptive signal processing. Topics include correlation functions and correlation matrices; performance functions; search of minimum; steepest descent and Newton algorithms; least mean squares algorithm; noise perturbed search and misadjustment; sequential regression algorithm and convergence issues; recursive least squares algorithm and forgetting factor; frequency domain algorithms; adaptive equalization; pseudorandom binary sequences and system identification; adaptive interference cancellation; adaptive beam forming and adaptive arrays. Simulation of the adaptive algorithms.

638/IT 838 Fast Algorithms and Architectures for Digital Signal Processing (3:3:0). Prerequisite: ECE 535 or permission of instructor. Study of recent advances in the development of signal processing algorithms and relevant computational architectures. Topics include fast polynomial transforms, Winograd's algorithms, multirate processing of digital signals, spectral estimation, adaptive filtering, and wavelet transforms.

640 Massively Parallel Computers (3:3:0). Prerequisite: ECE 546 or permission of instructor. Topics include basic concepts of parallelism, two-dimensional computation schemata, types of intercommunication networks between processing elements, single-instruction-stream multiple-data- stream computers, computers with massive parallelism, pyramid computing structures, multiple-instruction-stream multiple-data-stream computers, and parallel processing of images.

641 Computer System Architecture (3:3:0). Prerequisite: ECE 511 or permission of instructor. Advanced course in computer architecture. Definitions, multiple processors, VLSI architecture, data flow, computation, the semantic gap, high-level language architecture, object-oriented design, RISC architecture, and current trends in computer architecture are covered.

642 Design and Analysis of Computer Communication Networks (3:3:0). Prerequisites: ECE 542 and 528 or equivalent. Introduction to queuing theory. Other topics include concentrator design, multiplexing, capacity assignments, random access schemes, polling and probing techniques, topology design, flow control and routing, packet radio, protocol specification, and validation.

643 Telecommunication Switching Systems (3:3:0). Prerequisites: ECE 528 and 542. Basic concepts of switching with application to digital telecommunication networks. Topics include circuit switched networks, space-division and time-division switching, digital switching system architecture, stored-program control, traffic theory, numbering concepts, signaling networks, intelligent networks, and fast-packet switching.

644 Architectures and Algorithms for Image Processing (3:3:0). Prerequisite: ECE 511 and 537 or equivalent. Architectures and algorithms for the analysis and processing of pictorial information. Topics include systems and techniques for the digital representation of images; image scanning methods and their applications; picture processing languages; image data structures; feature detection, extraction, and reconstruction; detection of symmetries; systems and methods for regular decomposition, image desegmentation, object thinning, real-time orthogonal transformations, and applications. Course includes a design project.

645 Computer Arithmetic: Hardware and Software Implementations (3:3:0). Prerequisites: ECE 545 or permission of instructor. Course covers computer arithmetic as applied to the design of general-purpose microprocessors, and application-specific integrated circuits for cryptography, coding, and digital signal processing. The focus is on efficient implementations of all basic arithmetic operations in three major domains: integers, real numbers, and elements of the Galois Fields GF(2n). The course provides the way of choosing between various hardware algorithms and architectures depending on the primary optimization criteria, such as speed, area, and power consumption. The best algorithms for implementing arithmetic operations in software and hardware are compared and contrasted.

646 (formerly 543) Cryptography and Computer Network Security (3:3:0). Prerequisites: ECE 542 or permission of instructor. Topics covered include need for security services in computer networks, basic concepts of cryptology, historical ciphers, modern symmetric ciphers, public key cryptography (RSA, elliptic curve cryptosystems), efficient hardware and software implementations of cryptographic primitives, requirements for implementation of cryptographic modules, data integrity and authentication, digital signature schemes, key exchange and key management, standard protocols for secure mail, www and electronic payments, security aspects of mobile communications, key escrow schemes, zero-knowledge identification schemes, Smart cards and PCMCIA cards, quantum cryptography, and quantum computing.

650 Robotics (3:3:0). Prerequisite: ECE 521 or permission of instructor. Introduction to robotics and advanced automation from an electrical engineering standpoint. Topics include hardware overview; coordinate systems and manipulator kinematics; differential motion and the inverse Jacobian; manipulator path control and motion planning; design and control of articulated hands; sensory feedback; machine vision; applications to industrial automation.

662 Microwave Devices (3:3:0). Prerequisites: ECE 563 or permission of instructor. Study of the generation of microwave signals. Topics include solid-state microwave devices and high-power microwave devices and microwave applications.

665 Fourier Optics and Holography (3:3:0). Prerequisites: ECE 565. Study of optical systems for processing temporal signals as well as images. Topics include use of coherent optical systems for image processing and pattern recognition, principles of holography, and acousto-optic systems for radar-signal-processing optical computers.

670/SYST 680 Principles of Command, Control, Communication, and Intelligence (C3I)Part I (3:3:0). Prerequisites: ECE 528 or SYST 500, or equivalent. See SYST 680.

671/SYST 681 Principles of Command, Control, Communication, and Intelligence (C3I)Part II (3:3:0). Prerequisite: ECE 670/SYST 680 or permission of instructor. See SYST 681.

672/SYST 619 Introduction to Architecture-Based Systems Engineering (3:3:0). Prerequisites: SYST 510 or SYST 520 or ECE 521 or permission of instructor. Lifecycles in systems engineering and the role of systems integration and architecting in these. The human, organizational, process and technological basis for systems integration and architecting. Societal and cultural basis for systems architecting and integration. Conceptual frameworks for systems architecting. Structure, function, and purpose of systems architecting and integration. Risk management and systems architecting and integration. User requirements and functional specifications in systems architecting. The bid and proposal process for systems architecting and integration. System of Systems issues in systems architecting and integration. Systems management and architecting. Increasing returns to scale, network effects, and path dependency issues in systems architecting and integration. Evolutionary systems architecting and integration. This course is considered an "out of department" course for the MSEE and MS CpE programs.

673/SYST 620 Discrete Event Systems (3:3:0). Prerequisites: ECE 521 or SYST 611 or equivalent. Introduction to modeling and analysis of discrete event dynamical systems. Course covers elements of discrete mathematics and then focuses on Petri Net Models and their basic properties: locality and concurrency; condition/event systems; place/transition nets; Colored Petri Nets; reachability graphs (occurrence nets); and invariant analysis. Issues in Petri Nets and temporal logic. Stochastic Petri Nets. Relation to other discrete event models of dynamical systems. Applications of the theory to modeling and simulation and to systems engineering problems, especially in systems architecting.

674/SYST 621 Systems Architecture Design (3:3:0). Prerequisites: SYST 619/ECE 672 and SYST 620/ ECE 673. An intensive study of the relationships between different types of architecture representations and the methodologies used to obtain them. Approaches based on systems engineering constructs, such as structured analysis and software engineering constructs, including object orientation, are used to develop architecture representations or views and to derive an executable model of the information architecture. The executable model is then used for behavior analysis and performance evaluation. The roles of the systems architect and the systems engineer are discussed. Examples from current practice including the C4ISR architectures are used. This course is considered an "out of department" course for the MSEE and MS CpE programs.

675/SYST 622 System Integration and Architecture Evaluation (3:3:0). Prerequisites: SYST 620/ECE 673 and SYST 621/ECE 674. The System Integration Problem ­ human, organizational, societal cultural, and technological aspects. The role of architectures in systems integration. Integration in a System of Systems and a Federation of Systems. Evaluation of architectures. Measures of performance and effectiveness. Analysis of alternative architecture and integration strategies. Assessment of system capabilities. This course is considered an "out of department" course for the MSEE and MS CpE programs.

680 Physical VLSI Design (3:3:0). Prerequisites: ECE 586 or permission of instructor. Introduction to NMOS, CMOS and BiMOS integrated circuit technology and fabrication. Review of MOS and BiCMOS inverter structures and operation. MOS and BiCMOS circuit design processes, MOS layers, stick diagrams, design rules and layout. Subsystem design and layout illustration of the design process through the design of a 4bit arithmetic processor and its parts, adder, multiplier, register, and memory cells. Aspects of system timing; test and testability; and a review of currently available VLSI CAS tools.

681 VLSI Design Automation (3:3:0). Prerequisites: ECE 545 and 586 or permission of instructor. A broad introduction to basic concepts, techniques and algorithms used by modern VLSI design automation software. The course covers hardware description languages, logic synthesis, simulation, static timing analysis, formal verification, test generation/fault simulation, and physical design (including floor planning, placement, routing, and design rule checking).

682 (formerly 588) VLSI Test Concepts (3:3:0). Prerequisite: ECE 586. Broad introduction to basic concepts, techniques, and tools of modern VLSI testing. Fundamentals of defect modeling, fault simulation, design for testability, built-in self test techniques, and failure analysis. Test economics, physical defects and fault modeling, automated test pattern generation, fault simulation, design for test, build-in self test, memory test, PLD test, mixed signal test, Iddq test, boundary scan and related standards, test synthesis, diagnosis and failure analysis, automated test equipment, embedded core test.

684 MOS Device Electronics (3:3:0). Prerequisite: ECE 584 or permission of instructor. Study of MetalOxide- Semiconductor (MOS) based device theory, characteristics, models, and limitations. Topics include MOS capacitator, MOSFETs, CMOS, charge coupled devices, scaling, hot carrier effects, latchup, radiation effects, and isolation techniques.

689 VLSI Processing (3:3:0). Prerequisite: ECE 584 or permission of instructor. In-depth study of various steps in silicon VLSI circuit processing. These steps include thermal oxidation, diffusion, ion-implantation, epitaxial growth, poly-silicon, metal and insulator layer deposition, photo-lithography, and MOS processing integration. This course also involves hands-on laboratory projects and use of the process simulator SUPREM.

698 Independent Reading and Research (3:3:0). Prerequisites: Graduate standing, completion of at least two core courses, and permission of instructor. Study of a selected area in electrical and computer engineering under the supervision of a faculty member. Written report is required. May be taken no more than twice for graduate credit.

699 Advanced Topics in Electrical and Computer Engineering (3:3:0). Prerequisites: permission of instructor. Advanced topics of current interest in electrical and computer engineering. Topics are chosen in such a way that they do not duplicate any of the other courses in the department. Active participation of the students is encouraged in the form of writing and presenting papers in the research areas.

720/IT 843 Multivariable and Robust Control (3:3:0). Prerequisite: ECE 620 or permission of instructor. Eigenstructure assignment for multivariable systems, the Smith-McMillan form, internal stability, modeling system uncertainty, performance specifications and principal gains, parametrization of controllers, loop shaping and loop transfer recovery, and the H methodology.

721/IT 846 Nonlinear Systems (3:3:0). Prerequisite: ECE 521. Nonlinear dynamical systems. Motivating examples. Analysis techniques include basic fixed point theory, implicit function theorem, dependence of trajectories on initial data and parameters. Course also covers computational simulation techniques, stability theory, including Lyapunov's direct method, nonlinear control systems: input-output stability, and absolute stability, strong positive real transfer functions. Feedback linearization of nonlinear systems, nonlinear canonical forms; nonlinear decoupling; sliding control; and applications to adaptive control, neural networks, and robotics are also included.

722/IT 841 Kalman Filtering with Applications (3:3:0). Prerequisite: ECE 521 and 528 or equivalent, or permission of instructor. Detailed treatment of Kalman Filtering Theory and its applications, including some aspects of stochastic control theory. Topics include state-space models with random inputs, optimum state estimation, filtering, prediction and smoothing of random signals with noisy measurements, all within the framework of Kalman filtering. Additional topics are nonlinear filtering problems, computational methods, and various applications such as Global Positioning System, tracking, system control, and others. Stochastic control problems include linear-quadratic-Gaussian problem and minimum-variance control.

728 Random Processes in Electrical and Computer Engineering (3:3:0). Prerequisite: ECE 528 or permission of instructor. Provides students with the background in random processes needed for pursuing graduate studies and research in the areas of statistical signal processing, communications, control, and computer networks. It is recommended for advanced master's and doctoral students. Course covers probability spaces, random variables, Lebesque integration, conditional mean on a sigma-field, convergence of random variables, limit and ergotic theorems, Markov processes, and Martingales. f

731 (formerly 631) Digital Communications (3:3:0). Prerequisite: ECE 630 or equivalent. Digital transmission of voice, video, and data signals. Course covers signal digitization, pulse code modulation, delta modulation, low bit-rate coding, multiplexing, synchronization, intersymbol interference, adaptive equalization, frequency spreading, encryption, transmission codes, digital transmission using bandwidth compression techniques, and satellite communications.

732 Mobile Communication Systems (3:3:0). Prerequisites: ECE 542 and 630. Introduction to mobile communication system design and analysis. Topics includemodeling of the mobile communication channel, signal set and receiver design for the mobile communication channel, access and mobility control, mobile network architectures, connection to the fixed network, and signaling protocols for mobile communication systems. Examples of mobile communication systems are presented, including the pan-European GSM system, the North American D-AMPS system, and Personal Communication Systems.

733 Advanced Coding Theory (3:3:0). Prerequisites: ECE 630 and 633. Theory and practice of advanced error-control coding techniques. Topics include trellis codes, multidimensional codes, Leech lattice, rotationally invariant codes, spectral analysis and transform coding. Applications of contemporary coding theory in mobile communications, magnetic and optical recording, high-speed modem, and high-density data storage design are presented.

734/IT 830 Detection and Estimation Theory (3:3:0). Prerequisite: ECE 528. Introduction to detection and estimation theory with communication and radar/sonar applications. Topics include classical detection and estimation theory, detection of known signals in Gaussian noise, signal parameter estimation, linear waveform estimation, and Wiener and Kalman filters.

735/IT 832 Data Compression (3:3:1). Prerequisite: ECE 528 or permission of instructor. In-depth study of lossy data compression techniques based on vector quantization with application to speech, image, and video signals. Vector quantization of both signal's waveform and commonly used parametric statistical models such as the autoregressive model are covered. Topics include scalar quantization, predictive quantization, transform coding, entropy coding, and variations on basic vector quantization such as constrained vector quantization and variable rate vector quantization.

737/IT 932 (formerly ECE 637) Spread Spectrum Communications (3:3:0). Prerequisite: ECE 630. Introduction to spread spectrum communications. Topics include pseudonoise spread spectrum systems, feedback shift registers, jamming strategy, code acquisition, synchronization, tracking, Gold codes, burst-communication systems, time-hopping, frequency-hopping, and multiple access communications.

738 Advanced Digital Signal Processing (3:3:0). Prerequisite: ECE 638. Theory and practice of advanced digital signal processing techniques. Topics include computationally efficient high-speed algorithms for convolution, correlation, orthogonal transforms, multirate processing of digital signals, filter banks, multiresolution time-frequency and time-scale analysis of one- and two-dimensional signals, and parallel signal processing.

739/IT 833 (formerly ECE 639) Satellite Communications (3:3:0). Prerequisite: ECE 630 or permission of instructor. Introduction to the theory and applications of modern satellite communications. Topics include satellite channel characterization, channel impairments and transmission degradation, link calculations, modulation, coding, multiple access, broadcasting, random access schemes, demand assignment, synchronization, satellite switching and onboard processing, integrated service digital satellite networks, and satellite transponder, ground stations, packet switching, and optical satellite communications.

741 Wireless Networks (3:3:0). Prerequisite: ECE 642 or equivalent. Theoretical foundation and practice in design of wireless networks. Emphasis is on mobility and teletraffic modeling aspects. Networking issues and state of the art performance evaluation methods of radio and system infrastructure applicable to wireless cellular and local networks are discussed. Topics include analysis of mobility, handoff, control traffic loading, resource allocation techniques, multi-access protocols, admission policy and call control, network infrastructure and multi-layer configuration, wireless LANs, and packet data systems.

742/IT 834 High-Speed Networks (3:3:0). Prerequisite: ECE 528 and 642 or permission of instructor. Theories for design, analysis and evaluation of high-speed networks. Scalability, performance, and issues related to local area, metropolitan, and wide area networks. Course includes architecture, protocols, and applications of high-speed networks; performance modeling of high-speed networks; flow control and routing; design issues for high-speed switches, interfaces, and controllers; all optical networks and their architectures; examples of high-speed computer networks and internetworking; video, imaging, and multimedia applications; software issues, robustness, and applications; and selected topics in current research areas in high-speed computer networks.

743/IT 848 Multimedia Networking and Communications Software (3:3:0). Prerequisite: ECE 642 or equivalent. Advanced modern networks and services rely ever increasingly on communication protocols and their implementation in software. Course provides principle methodologies, constraints, and technologies for advanced store-and-foreward or packet-switched communications nodes, networks and protocols as well as their emerging software-based applications. Specific examples include next generation integrated Internet and Intranet, their underlying transport infrastructure over wired and wireless media, switching, routing, multi-point and real-time multimedia and web-based services, and quality of services aspects.

744 Computer Vision and Expert Systems (3:3:0). Prerequisite: ECE 644 or permission of instructor. Brief review of image analysis; vision system architectures (human visual system, computer visual systems); vision system operations (focus and zooming); picture recognition languages; introduction to knowledge-based systems; learning algorithmic schemes; and applications to text processing/analysis (as expert systems). Design project is conceived, simulated, and tested by the students.

745 ULSI Microelectronics (3:3:0). Prerequisite: ECE 684. Study of UltraLargeScaleIntegration (more than one million devices in a single chip) by considering the limits of packing density, the modeling of the devices, and the circuit topology. Semiconductor material and device physics imposed "second order effects" and limitations on deep submicron CMOS performance and reliability will be studied through analytical (compact) modeling and numerical simulations. New ULSI technologies such as SOI CMOS will be presented and evaluated, as they become available.

746 Secure Telecommunication Systems (3:3:0). Prerequisites: ECE 646 or permission of instructor. Discussion of integration of cryptographic algorithms with standard and emerging communication protocols. Issues related to implementation of security services in different kinds of telecommunication networks and at different layers of the network model. A study of selected cryptographic algorithms, including Advanced Encryption Standard and Elliptic Curve Cryptosystems. Choice of a cryptographic algorithm depending on the type of a network and implementation medium. Analysis of various means of implementing cryptographic transformations, including smart cards, desktop computers, routers, accelerator boards, and stand-alone devices. Criteria of choice between software and hardware implementations of cryptography.

749/IT 844 Neural Networks for Control (3:3:0). Prerequisites: ECE 549 and 620. General neural network principles for control applications and supervised control, direct inverse control, neural adaptive control, backpropagation-trout time (BTT), adaptive critics, sensorimotor principles. Topics include applications to adaptive control and system identification, neural networks for motion control and path planning in robotics, neural network process control, aerospace control problems and neural network autopilot, neural network control of aircraft flare and touchdown, and neural network control of autonomous vehicles.

750/CS 685/SYST 672/IT 840 (formerly ECE 651) Intelligent Systems for Robots (3:3:0). Prerequisite: SYST 611 or ECE 650 or CS 580, or SYST 555 or equivalent. Review recent developments in the area of intelligent autonomous systems. The applications of artificial intelligence, control theory, operations research, decision sciences, computer vision, and machine learning to robotics are studied as well as correspondences between various fields. Topics include analysis and design of methods, algorithms and architecture for planning, navigation, sensory data understanding, visual inspection, spatial reasoning, motion control, learning, self-organization, and adaptation to the environment.

751/IT 886 (formerly ECE 632) Information Theory (3:3:0). Prerequisite: ECE 528 or permission of instructor. Introduction to information theory which is the mathematical theory of communication systems. Topics include: measures of information: entropy, relative entropy, and mutual information, the Shannon-McMillan-Breiman theorem and its applications to data compression, entropy rate and the source coding theorem, Huffman, arithmetic and the Lempel-Ziv codes, the method of types, channel capacity, and the channel-coding theorem, the joint source-channel coding theorem, differential entropy, the Gaussian channel, rate distortion theory and vector quantization.

752/IT 885 Spectral Estimation (3:3:0). Prerequisite: ECE 528 or STAT 652 or permission of instructor. In-depth study of spectral analysis and its application to statistical signal processing. Topics include classical Fourier analysis of deterministic signals and Wiener theory of spectral analysis for random processes; spectral estimation using the Periodogram and the window approaches; maximum entropy spectral estimation and its relation to autoregression modeling; signal subspace approaches for frequency estimation; and the wavelet transform and its relation to the short-time Fourier transform.

753/IT 888 Distributed Estimation and Multisensor Tracking and Fusion (3:3:0). Prerequisite: ECE 734 or SYST 611. Centralized and distributed estimation theory, hierarchical estimation, tracking and data association, multisensor multitarget tracking and fusion, distributed tracking in distributed sensor networks, track-to-track association and fusion, and Bayesian networks for fusion.

754/IT 837 Optimum Array Processing I (3:3:0). Prerequisite: ECE 734. Optimum antenna array processing for communications, radar, and sonar systems. Classical synthesis of linear and planar arrays. Characterization of space-time processes. Spatial AR and ARMA models. Optimum waveform estimation. MVDR and MMSE estimators. LCMV beamformers. Generalized sidelobe cancelers. Robust algorithms. Diagonal loading.

755/IT 937 Optimum Array Processing II (3:3:0). Prerequisite: IT 837. Adaptive beamformers. SMI and RLS estimators. Spatial smoothing and FB averaging. QR decomposition. LMS algorithm. Optimum detection. Optimum parameter estimation. UML and CML estimation. Cramer-Rao bounds. IQML. Weighted subspace fitting. Subspace algorithms: MUSIC, ESPRIT. Root-versions. Beamspace algorithms. Sensitivity, robustness, and calibration.

780/IT 845 (formerly ECE 622) High-Frequency Electronics (3:3:0). Prerequisite: ECE 563 and 684, or permission of instructor. Study of devices and circuits used in high-speed communications systems. Topics include microwave bipolar transistors, GaAs MESFETs, and high-speed integrated circuits; and the design of linear and power amplifiers using Sparameter techniques and computer simulation.

798 Research Project (3:0:0). Prerequisite: Nine graduate credits. Research project to be chosen and completed under the guidance of a graduate faculty member that results in an acceptable technical report.

799 Master's Thesis (1-6:0:0). Prerequisite: Nine graduate credits and permission of instructor. Research project chosen and completed under theguidance of a graduate faculty member that results in a technical report and an oral defense acceptable to a three-faculty-member thesis committee.

836/IT 836 Special Topics in Detection and Estimation Theory (3:3:0). Prerequisite: ECE 734. Advanced topics in detection, estimation, and signal processing in areas of current research interest. Topics may include spectral estimation, speech recognition, array processing, SAR, underwater acoustics, or higher order spectra.

847/IT 847 Topics in Photonics (3:3:0). Prerequisite: ECE 565 or permission of instructor. In-depth discussion of specific topics in photonics. Topics include optical storage (disks, holographic, 3D), digital optical computing, integrated optics, photonic switching networks, and optoelectronic devices. May be repeated when covering different topics.

945/IT 945 Advanced Topics in Microelectronics (3:3:0). Prerequisite: IT 845. Current topics of advanced research in microelectronics. Topics include very high speed integrated circuits, monolithic microwave integrated circuits, optoelectronic integrated circuits, novel device structures, and advances in semiconductor device technology. May be repeated with a change in topic.

998 Doctoral Dissertation Proposal (1-12:0:0). Work on a research proposal that forms the basis for a doctoral dissertation. May be repeated. No more than 24 credit hours of ECE 998 and 999 may be applied to doctoral degree requirements.

999 Doctoral Dissertation (1-12). Prerequisite: Admission to candidacy. Formal record of commitment to doctoral dissertation research under the direction of a faculty member in Electrical and Computer Engineering. May be repeated as needed. A candidate must complete a minimum of 12 credits of doctoral proposal (ECE 998) and doctoral dissertation research (ECE 999). A maximum of 24 credits of ECE 998 and ECE 999 may be applied to the degree. Students who choose to take less than 24 credits of ECE 998 and ECE 999 may earn the remaining credits from approved course work. A student cannot enroll in ECE 999 before his/her research proposal is accepted and approved by the dissertation committee.