ECE 511 Microprocessors

Course description:

Prerequisite:

graduate standing or permission of instructor

ECE 612 Real-Time Embedded Systems

Course description:

ECE 612 Real-Time Embedded Systems (3:3:0). 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 include interrupt driven and polled I/O. Basic input/output operations, analog-to-digital converter methods, I/O programming techniques, and process and communications control methodologies. The course includes a design project. f

 

Prerequisite:

511 or permission of instructor

ECE 513 Applied Electromagnetic Theory

Course description:

ECE 513 Applied Electromagnetic Theory (3:3:0). Maxwell's equations, electromagnetic wave propagation, wave guides, transmission lines, radiation and antennas.

 

Prerequisite:

graduate standing or permission of instructor

ECE 611 Advanced Microprocessors

Course description:

ECE 516 Advanced Microprocessors (3:3:0) Principles of advanced 32-bit and 64-bit microprocessors. Microprocessor structure and architecture. Pipelined execution and pipeline hazards. Instruction level parallelism: superscalar and super;pipelined execution. Detailed study of Intel x86 and Motorola M68000 families. RISC principles and advantages. Examples of RISC-type microprocessors.

 

Prerequisite:

ECE 511 or permission of instructor

ECE 521 Modern Systems Theory

Course description:

ECE 521 Modern Systems Theory (3:3:0). Introduction to linear systems theory. Review of linear algebra. State variables. State space description of dynamic systems. Analysis of continuous-time and discrete-time linear systems. Controllability and observability of linear systems. Nonlinear systems. Stability theory. Introduction to the design of linear feedback control systems.

 

Prerequisite:

graduate standing or permission of instructor

ECE 528 Random Processes in Electrical and Computer Engineering

Course description:

ECE 528 Random Processes in Electrical and Computer Engineering (3:3:0). Topics include random signals and noise in communications, stationary and ergodic random processes, spectral analysis, Gaussian processes, Brownian motion, mean square estimation, Kalman and adaptive filtering, Markov processes and Poisson processes. Applications are drawn from computer, communication, control, and signal processing.

Prerequisite:

graduate standing or permission of instructor

ECE 535 Digital Signal Processing

Course description:

ECE 535 Digital Signal Processing (3:3:0). Representation, analysis, and design of digital signals and systems. Sampling and quantization. Z-transform and Discrete Fourier Transform. Digital filter realizations. Design techniques for recursive (IIR) and nonrecursive (FIR) filters. The Fast Fourier Transform algorithms. Spectrum analysis. Additional topics may include adaptive filtering, homomorphic digital signal processing, digital interpolation and decimation; VLSI signal processors.

 

Prerequisite:

graduate standing or permission of instructor

ECE 537 Introduction to Digital Image Processing (DIP)

Course desription:

ECE 537 Introduction to Digital Image Processing (DIP). 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 processing project is included utilizing modern image processing system prototyping software.

 

Prerequisite:

graduate standing or permission of instructor

ECE 542 Computer Network Architectures and Protocols

Course description:

ECE 542 Computer Network Architectures and Protocols (3:3:0). 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, various examples of computer networks.

 

Prerequisite:

graduate standing or permission of instructor

ECE 646 Cryptography and Computer Network Security 

Course description:

ECE 543 Cryptography and Computer Network Security (3:3:0). Topics covered include need for security services in computer networks, basic concepts of cryptology, historical ciphers, modern symmetric ciphers (DES, IDEA, RC5), Advanced Encryption Standard (AES), public key cryptography (RSA, elliptic curve cryptosystem), 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.

 

Prerequisite:

ECE 542 or permission of instructor

ECE 545 Introduction to VHDL

ECE 546 Parallel Computer Architectures

ECE 548 Sequential Machine Theory

ECE 549 Pattern Recognition and Neural Networks

ECE 563 Introduction to Microwave Engineering

ECE 565: Introduction to Optical Electronics

ECE 567 Optical Fiber Communications

Course description:

ECE 667 Optical Fiber Communications (3:3:0). 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.

 

Prerequisite:

graduate standing or permission of instructor.

ECE 584 Solid-State Device Theory I

ECE 586 Digital Integrated Circuits

ECE 587 Design of Analog Integrated Circuits

ECE 682 VLSI Test Concepts

ECE 590 Selected Topics in Electrical Engineering

Course description:

ECE 590 Selected Topics in Electrical Engineering (3:3:0). Selected topics from recent developments and applications in electrical engineering.

 

Prerequisite:

Graduate standing or permission of department.

ECE/SYST 595 Discrete Event Systems

Course description:

ECE/SYST 595 Discrete Event Systems (3:3:0). Introduction to modeling and analysis of discrete event dynamical systems. Elements of discrete mathematics including sets and multisets, lattices, relations, and graph theory. Untimed and timed models of discrete event systems. Condition/Event nets; Place/Transition nets and their properties. Concurrent and asynchronous processes. Colored Petri Nets and the modeling of systems. Simulation and performance analysis. Executable models for System Architectures - structured analysis and object oriented system design approaches. Applications from several domains: Command and Control, Air Traffic Control, Flexible Manufacturing Systems, Robotics, Decision Making Organizations, and Decision Support Systems. Software Intensive Systems.

 

Prerequisite:

SYST 500 or equivalent.

 

ECE 621 Systems Identification

Course description:

ECE 621 Systems Identification (3:3:0). A detailed treatment of stochastic control theory and its applications. Topics include state space models with random inputs, optimum state estimation, Kalman filtering, Linear Quadratic Gaussian problem, computational issues, stochastic dynamic programming, applications in process control and in decision making under uncertainty.

 

Prerequisite:

ECE 521 and ECE 528 or permission of instructor.

ECE 622=>780/INFT 845 High-Frequency Electronics

Course description:

ECE 780 High-Frequency Electronics (3:3:0). Study of devices and circuits used in high-speed communications systems. Topics include microwave bipolar transistors, GaAs MESFETs, and high- speed integrated circuits; the design of linear and power amplifiers using S-parameter techniques and computer simulation.

 

Prerequisite:

ECE 563 and 684, or permission of instructor

ECE 624 Control Systems

Course description:

ECE 624 Control Systems (3:3:0). 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. The course may include a simulation and design project.

 

Prerequisite:

ECE 421 and 521 or permission of instructor.

ECE 630 Statistical Communication Theory

Course description:

ECE 630 Statistical Communication Theory (3:3:0). 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.

 

Prerequisite:

ECE 528.

ECE 631=>731 Digital Communications

Course description:

ECE 631 Digital Communications (3:3:0). Digital transmission of voice, video, and data signals. Signal digitization. Pulse code modulation (PCM), delta modulation (DM), low bit rate coding. Multiplexing, synchronization, intersymbol interference. Adaptive equalization. Frequency spreading, encryption. Transmission codes. Digital transmission using bandwidth compression techniques. Satellite communications.

 

Prerequisite:

ECE 630 or equivalent.

ECE 751 Information Theory

Course description:

ECE 632 Information Theory (3:3:0). Comprehensive study of information with emphasis on concepts of reliable, efficient communication systems. Measure of information, efficient representation of message sources, communication channels and their capacity. Coding for reliable transmission over noisy channels.

 

Prerequisite:

ECE 528 or permission of instructor.

ECE 633 Coding Theory

Course description:

ECE 633 Coding Theory (3:3:0). Mathematics of coding: groups, rings, and fields; polynomial algebra. Linear block codes: generator and parity check matrices; error syndromes. Binary cyclic codes. Convolutional codes; implementation of encoders and decoders.

 

Prerequisite:

ECE 528 or permission of instructor.

ECE 635 Adaptive Signal Processing

Course description:

ECE 635 Adaptive Signal Processing (3:3:0). 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 eqalization; pseudo-random binary sequences and system identification; adaptive interference cancellation; adaptive beam forming and adaptive arrays. Simulation of the adaptive algorithms.

 

Prerequisite:

ECE 528.

ECE 746 Secure Telecommunication Systems

Course description:

ECE 636 Secure Telecommunication Systems (3:3:0). 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 the network and implementation medium. Analysis of various means of implementing cryptographic transformations, including smart cards, desktop computers, routers, cryptographic boards, and stand-alone devices. Criteria of choice between software and hardware implementations of cryptography.

 

Prerequisite:

Prerequisite: ECE 646 or permission of instructor.

ECE 737 Spread Spectrum Communications

Course description:

ECE 637 Spread Spectrum Communications (3:3:0). 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.

 

Prerequisite:

ECE 630.

ECE 638 Fast Algorithms and Architectures for Digital Signal Processing

Course description:

Fast Algorithms and Architectures for Digital Signal Processing (3:3:0). Study of recent advances in 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, parallel and pipeline computational arrays, and mapping of signal processing algorithms into systolic arrays.

 

Prerequisite:

ECE 535 or permission of instructor.

ECE 739 Satellite Communications

Course description:

ECE 639 Satellite Communications (3:3:0). 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, optical satellite communications.

 

Prerequisite:

ECE 631 or permission of instructor.

ECE 640 Massively Parallel Computers

Course description:

ECE 640 Massively Parallel Computers (3:3:0). 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.

 

Prerequisite:

ECE 546 or permission of instructor.

ECE 641 Computer System Architecture

Course description:

ECE 641 Computer System Architecture (3:3:0). 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, current trends in computer architecture.

 

Prerequisite:

ECE 511 or permission of instructor

ECE 642 Design and Analysis of Computer Communication Networks

Course description:

ECE 642 Design and Analysis of Computer Communication Networks (3:3:0). 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.

 

Prerequisite:

ECE 542 and ECE 528 or equivalent.

ECE 643 Telecommunication Switching Systems

Course description:

ECE 643 Telecommunication Switching Systems (3:3:0). 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.

 

Prerequisite:

ECE 528 and 542.

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.

Prerequisite:

ECE 545 or permission of instructor

ECE 650 Robotics

Course description:

ECE 650 Robotics (3:3:0). 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.

 

Prerequisite:

ECE 521 or permission of instructor.

ECE 750 Intelligent Systems for Robots

Course description:

ECE 651 Intelligent Systems for Robots (3:3:0). In-depth study of the theoretical aspects of robotics. Emphasis on the integration of topics from control theory and machine intelligence. Topics include manipulator dynamics; optimal, self-organizing, and distributed control of manipulators; stability of legged locomotion; mathematical modeling of uncertain knowledge; knowledge-based control of robot systems.

 

Prerequisite:

ECE 650 or permission of instructor.

ECE 662 Microwave Engineering

Course description:

ECE 662 Microwave Engineering (3:3:0). Study of the generation, control, and propagation of microwave signals. Topics include transmission lines, waveguides, resonators, scattering parameters, Smith charts, measurement techniques, instrumentation, and microwave devices.

 

Prerequisite:

ECE 513 and ECE 563 or permission of instructor.

ECE 665 Fourier Optics and Holography

Course description:

ECE 665 Fourier Optics and Holography (3:3:0). 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, acousto-optic systems for radar-signal-processing optical computers.

 

Prerequisite:

ECE 565.

ECE 667 Fiber Optic Communications and Networks

Course description:

ECE 667 Fiber Optic Communications and Networks (3:3:0). 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.

 

Prerequisite:

ECE 565 or permission of instructor.

ECE 670/SYST 680 Principles of Command, Control, Communication and Intelligence

Course description:

Principles of Command, Control, Communication and Intelligence (C3I)-Part 1 (3:3:0). Fundamentals of C3I are developed from a descriptive, theoretical, and quantitative perspective. Topics include C2 process; quantitative models for combat, sensing, data fusion; individual and team decision making; organizational theory, tools for modeling C2 systems; and evaluations of C2 systems.

 

Prerequisite:

ECE 528 or SYST 500, or equivalent.

ECE 671/SYST 681 Principles of Command, Control, Communication and Intelligence

Course description:

Principles of Command, Control, Communication and Intelligence (C3I)-Part II (3:3:0). Technology required for C2 systems is developed. Technology areas include sensors, communications, and computer based systems. The C3I required for mission areas such as strategic, theater, and tactical are developed and analyzed. Electronic warfare and counter-C3 is discussed.

 

Prerequisite:

ECE 670/SYST 680 or permission of instructor.

ECE 680 Physical VLSI Design

Course description:

ECE 680 VLSI Circuit Analysis and Design (3:3:0). Physics and modeling of various semiconductor devices and fundamental building block circuits that are extensively used in VLSI design. Topics include review of MOSFETs and BJTs, SPICE device modeling, inverter and logic circuits, logic minimization, PLA implementation, static and dynamic RAM and problems in VLSI.

 

Prerequisite:

ECE 584, 586, and 587, or permission of instructor.

ECE 681 VLSI Design Automation

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).

Prerequisite:

ECE 545 and 586, or permission of instructor.

ECE 682 VLSI Test Concepts

Course description:

ECE 682 VLSI Test Concepts (3:0:0) 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 standarts, test synthesis, diagnosis and failure analysis, automated test equipment, embedded core test.

 

Prerequisite:

ECE 586 or permission of instructor

ECE 684 MOS Device Electronics

Course description:

ECE 684 MOS Device Electronics (3:3:0). Study of the theory of special microwave and optoelectronic semiconductor devices based on solid-state physics. Topics include tunnel devices, IMPATT diodes, transferred-electron devices, LED and semiconductor lasers, photodetectors, and solar cells.

 

Prerequisite:

ECE 584 or permission of instructor.

ECE 689 VLSI Processing

Course description:

ECE 689 VLSI Processing (3:3:0). Course on semiconducting materials that are of interest for present and future device applications. Topics include crystal and electronic structure, elemental semiconductors, group III-V and group II-VI compound semiconductors, various material growth techniques, ion implantation, material characterization techniques, and novel device structures.

 

Prerequisite:

ECE 584 or permission of instructor.

ECE 721 Nonlinear Systems

Course description:

ECE 721 Nonlinear Systems (3:3:0). Nonlinear dynamical systems: Motivating examples. Analysis techniques including basic fixed point theory, implicit function theorem, dependence of trajectories on initial data and parameters. Computational simulation techniques. Stability theory, including Lyapunov's direct method. Nonlinear control systems: input-output stability, absolute stability, strong positive real transfer functions. Feedback linearization of nonlinear systems. Nonlinear canonical forms. Nonlinear decoupling. Sliding control. Applications to adaptive control, neural networks, and robotics.

 

Prerequisite:

ECE 521.

ECE 722/INFT 841 Kalman Filtering with Applications

Course description:

ECE 722 Kalman Filtering with Applications (3:3:0). 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.

 

Prerequisite:

ECE 620 and 621 or equivalent, or permission of instructor

ECE 728 Random Processes in Electrical and Computer Engineering II

Course description:

ECE 728 Random Processes in Electrical and Computer Engineering II (3:3:0). 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. The 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.

 

Prerequisite:

ECE 528

ECE 732 Mobile Communication Systems

Course description:

ECE 732 Mobile Communication Systems (3:3:0). This course provides an introduction to mobile communication system design and analysis. Topics include modeling 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, signalling protocols for mobile communication systems. Examples of mobile communication systems will be presented, including the pan-European GSM system, the North American D-AMPS system, and Personal Communication Systems.

 

Prerequisites:

ECE 542 and 630.

ECE 733 Advanced Coding Theory

Course description:

ECE 733 Advanced Coding Theory (3:3:0). Theory and practice of advanced error-control coding techiques. Topics include trellis codes, multidimensional codes, Leech lattice, rotationaly 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.

 

Prerequisites:

ECE 630 and 633.

ECE 734 Detection and Estimation Theory

Course description:

ECE 734 Detection and Estimation Theory (3:3:0). 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, Wiener and Kalman filters.

 

Prerequisite:

ECE 528

ECE 735 Data Compression

Course description:

ECE 735 Data Compression (3:3:0). 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.

 

Prerequisites:

ECE 528 or permission of instructor

ECE 737 Spread Spectrum Communications

Course description:

ECE 737 Spread Spectrum Communications (3:3:0). 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.

 

Prerequisite:

ECE 630.

ECE 738 Advanced Digital Signal Processing

Course description:

ECE 738 Advanced Digital Signal Processing (3:3:0). 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.

 

Prerequisite:

ECE 638.

ECE 742 High-Speed Networks

ECE 743 Multimedia Networking and Communications Software

Course description:

ECE 743 Multimedia Networking and Communications Software (3:3:0). Advanced modern networks and servicesrely 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 nest 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.

Prerequisite:

ECE 642 or equivalent.

ECE 744 Computer Vision and Expert Systems

Course description:

ECE 744 Computer Vision and Expert Systems (3:3:0). 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; applications to text processing/analysis (as expert systems). Design project will be conceived, simulated, and tested by the students.

 

Prerequisite:

ECE 644.

ECE 745 ULSI Microelectronics

Course description:

ECE 745 ULSI Microelectronics (3:3:0). A study of Ultra-Large-Scale-Integration (more than one million devices in a single ship) by considering the limits of packing density, the modeling of the devices, and the circuit topology. Si MOS, Si bipolar, and GaAs field effect transistor `second order' effects and their impact on ULSI will be thoroughly discussed.

 

Prerequisites:

ECE 684.

ECE 753/INFT 888 Distributed Estimation and Multisensor Tracking and Fusion

Course description:

ECE 753/INFT 888 Distributed Estimation and Multisensor Tracking and Fusion (3:3:0). Centralized and distributed estimation theory, hierarchical estimation, tracking and data association, multisensor multitarget tracking and fusion, distributed tracking in distributed sensor networks, tack-to-track association and fusion, and Bayeasian networks for fusion.

Prerequisite:

ECE 734/INFT 830 or SYST 611.

ECE 754/INFT 837 Optimum Array Processing

Course description:

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

Prerequisite:

ECE 734/INFT 830

ECE 755/INFT 937 Optimum Array Processing II

Course description:

ECE 755/INFT 937 Optimum Array Processing II (3:3:0). 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, ESPIRIT. Root-versions. Beamspace algorithms. Sensitivity, robustness, and calibration.

Prerequisite:

ECE 754/INFT 837.

ECE 780/INFT 845 High-Frequency Electronics

Course description:

ECE 780 High-Frequency Electronics (3:3:0). Study of devices and circuits used in high-speed communications systems. Topics include microwave bipolar transistors, GaAs MESFETs, and high- speed integrated circuits; the design of linear and power amplifiers using S-parameter techniques and computer simulation.

 

Prerequisite:

ECE 563 and 684, or permission of instructor

ECE 798 Research Project

Course description:

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

 

Prerequisite:

9 hours of graduate-level course work.

ECE 799 Master's Thesis

Course description:

ECE 799 Master's Thesis (1-6:0:0). Research project chosen and completed under the guidance of a graduate faculty member, and which results in a technical report acceptable to a three-faculty-member committee and an oral defense.

Prerequisite:

9 hours of graduate-level course work and permission of instructor.

ECE 836/INFT 836 Special Topics in Detection and Estimation Theory

Course description:

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

 

Prerequisite:

ECE 734/INFT 830

ECE 847/INFT 847 Topics in Photonics 

Course description:

ECE 847/INFT 847 Topics in Photonics (3:3:0). 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 diffrent topics.

Prerequisite:

ECE 565 or permission of instructor.

ECE 945/INFT 945 Advanced Topics in Microelectronics 

Course description:

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

Prerequisite:

ECE 745.

CSI 709 Topics in Computational Sciences and Informatics (3:3:0)
Prerequisite: Admission to Ph.D. program and permision of instructor. Selected topics in computational sciences and informatics not covered in fixed-content computational sciences and informatics courses. May be repeated for credit as needed.