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ACADEMIC UNITS

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College of Engineering

Preference in registration is given to declared engineering majors. Please consult the current Schedule of Courses for confirmed offerings each semester.

EE 101 Electrical Engineering Skills (3) Electrical engineering subjects in a skill acquisition context at the freshman level. Learning, creative problem solving, brainstorming, technical information assimilation, and presentation skills development. Repeatable.

EE 150 Introduction to Computer Programming Methods (3) Introductory course on computer programming methods; emphasis on planning, writing, debugging of programs, together with basic applications. Pre: MATH 140 or equivalent.

EE 160 Programming for Engineers (4) (3 Lec, 1 3-hr Lab) Introductory course on computer programming and modern computing environments with an emphasis on algorithm and program design, implementation, and debugging. Includes a hands-on laboratory to develop and practice programming skills. Restricted to engineering freshmen and sophomores. A-F only. Pre: Math 140 or equivalent or consent.

EE 196 Freshmen Project Experience (V) Freshman level individual or team project under EE faculty direction and guidance. This project provides early student entry into EE hands-on project activity providing practical skills, EE subject exposure and experience. Second semester freshman standing required. Repeatable. Pre: 101 and consent.

EE 201 Electrical Engineering Skills for Transfer Students (3) This course develops key electrical engineering communications and creative problem-solving skills through peer interactive techniques. This course parallels EE 101 but at a more advanced topic level. Creative problem solving, brainstorming, technical information assimilation, presentations and learning skills development using peer interactive methodologies. Student presentations are required. Repeatable. Pre: sophomore standing or consent.

EE 211 Basic Circuit Analysis I (4) (3 Lec, 1 3-hr Lab) Linear passive circuits, time domain analysis, transient and steady-state responses, phasors, impedance and admittance; power and energy, frequency responses, resonance. Pre: MATH 231 (or concurrent) and PHYS 272 (or concurrent), or consent.

EE 224 Physical Electronics (3) Atomic physics, lattices, introductory quantum mechanics, phonons, scattering, impurity diffusion, carrier statistics, donors, acceptors, charge transport in semiconductors including ambipolar transport. The junction diode, the Schottky diode. Co-requisite: PHYS 274 or consent.

EE 260 Introduction to Digital Design (4) (3 Lec, 1 3-hr Lab) Introduction to the design of digital systems with an emphasis on design methods and the implementation and use of fundamental digital components. Pre: 150 or consent.

EE 296 Sophomore Student Projects (V) Sophomore level individual or team project under EE faculty direction and guidance. The project provides early student entry into EE hands-on activity providing practical skills, EE subject exposure and experience. Repeatable. Pre: 101, sophomore standing, and consent.

Registration in upper division courses will be contingent upon earning a grade of C or better in prerequisite courses.

EE 315 Signal and Systems Analysis (3) Discrete Fourier transform, Fourier series, Fourier transform, Laplace transform. Fast Fourier transform, analysis of linear systems. Pre: 213 and MATH 232.

EE 323 Basic Electronics (3) Semiconductor structures, operating principles and characteristics of diodes and amplifying devices. Their application as circuit elements in building basic digital, analog, and integrated circuit subsystems. Pre: 213 and 224.

EE 323L Basic Electronics Lab (1) (1 3-hr Lab) Experiments on linear and logic properties of diodes and transistor networks. Pre: 213. Co-requisite: 323.

EE 326 Linear Electronics (3) Principles and design of linear and analog electronic circuits; tuned and power amplifiers, feedback amplifiers and oscillators, operational and differential amplifiers, power supply circuits, integrated circuits as analog system blocks. Pre: 323.

EE 326L Linear Electronics Lab (1) (1 3-hr Lab) Laboratory for 326, experiments on linear and analog electronics. Pre: 323L. Co-requisite: 326.

EE 327 Theory and Design of IC Devices I (3) Characteristics and physics of bipolar and MOS electronic devices used in integrated circuits. Pre: 224.

EE 328 Physical Electronics Lab Techniques (3) Technology principles and methods for the design and fabrication of integrated circuit devices. Pre: 327.

EE 328L Physical Electronics Lab (1) (1 3-hr Lab) Hands-on laboratory where students make various electronic devices using IC technology. Devices are also tested and analyzed. Pre: 327. Co-requisite: 328.

EE 331 Energy Conversion (3) Application of electromagnetic field theory to energy conversion. Magnetic circuits and transformers. AC and DC machines. Introduction to direct energy-conversion methods. Pre: 213.

EE 331L Energy Conversion Lab (1) (1 3-hr Lab) Experiments on electromechanical energy conversion using generalized machines, magnetic circuits, and transformers. Elementary experiments on direct energy conversion. Pre: 213. Co-requisite: 331.

EE 341 Introduction to Communication Systems (3) Signal representation, Fourier analysis; amplitude and angle modulated systems; sampling theorems, pulse and digital modulation systems; carrier modulation by digital signals. Pre: 315.

EE 341L Communication Systems Lab (1) (1 3-hr Lab) Experiments illustrating the basic principles of communication systems. Pre: 315. Co-requisite: 341.

EE 342 EE Probability and Statistics (3) Probability, statistics, random variables, distributions, densities, expectations, limit theorems, and applications to electrical engineering. Pre: 315 (or concurrent) and MATH 232, or consent.

EE 351 Linear Systems and Control (3) Analysis/design of feedback systems. Compensator design via root locus and Bode analysis. Routh/Nyquist stability. State space representation and introduction to MIMO formulation. Controllability/observability. Pre: 315. Co-requisite: 351L.

EE 351L Linear Systems and Control Lab (1) (1 3-hr Lab) Provides experience in applying theoretical tools to analyze linear systems. Extensive use is made of computer-aided analysis and design packages study system performance. Pre: 315. Co-requisite: 351.

EE 361 Digital Systems and Computer Design (3) Design methodology, processor design, control design, memory organization, system organization. Pre: 213 and 260; or consent.

EE 361L Digital Systems and Computer Design Lab (1) (1 3-hr Lab) Laboratory for 361, experiments on digital systems and interfacing. Co-requisite: 361.

EE 366 CMOS VLSI Design (4) (3 Lec, 1 3-hr Lab) Introduction to the design of very large scale integrated (VLSI) systems and use of CAD tools and design languages. Lab includes handson use of CAD tools and experiments with field programmable logic devices. Pre: 260.

EE 367 Computer Data Structures and Algorithms (3) Introduction to computer programming algorithms with emphasis on advanced data structures, input-output routines, files, and interpreters. Pre: 150.

EE 367L Computer Data Structures and Algorithms Lab (1) (1 3-hr Lab) Laboratory for 367. Pre: 150. Co-requisite: 367.

EE 371 Field and Waves I (3) Stationary and traveling waves in distributed parameter systems. Stationary electric and magnetic fields. Pre: 213

EE 372 Field and Waves II (3) Solution of Maxwell’s equations under various boundary conditions. Introduction to microwave theory. Pre: 371.

EE 372L Field and Waves II Lab (1) (1 3-hr Lab) Laboratory for fields and waves option covering coaxial, waveguide, and antenna circuits and techniques. Pre: 371. Co-requisite: 372.

EE 396 Junior Project Course (V) Under-graduate hands-on experience. May be a EE 296 project continuation or a new project leading directly to the EE 496 major design activity. Repeatable. Pre: 101, junior standing, and consent.

EE 415 Digital Signal Processing (4) (3 Lec, 1 3-hr Lab) Discrete-time signals and systems, sampling, Z-transform, transform, transform analysis of linear time-invariant systems, filter design, discrete Fourier transform, and computation of discrete Fourier transform. Repeatable once. Pre: 315 or consent.

EE 422 Electronic Instrumentation (3) Electronic circuits for interfacing with transducers, signal processing, and data acquisition. Amplifiers for measurement and control. Operational amplifiers in linear, nonlinear, and digital applications. Design project. Basic transducers. Pre: 326, 326L, and 371; or consent.

EE 422L Instrumentation Lab (1) (1 3-hr Lab) Laboratory for 422. Co-requisite: 422.

EE 423 Computer-Aided Analysis and Design (3) Algorithms and techniques used in computer-aided analysis and design of electronic circuits. Circuit simulation with interactive computers. Pre: 326 or consent.

EE 425 Electronic Instrumentation II (3) Instrumentation systems and circuits for measurement, control, signal processing, transmission, and detection. Noise and interference, ADC/DAC, modulation/demodulation, high-frequency and high-speed techniques, IC applications. Pre: 422 and 422L, or consent.

EE 426 Theory and Design of IC Devices II (3) Advanced silicon solid-state devices. State of the art in silicon-based devices, including advanced bipolar and MOS devices. Subjects from the most current literature included. Pre: 327.

EE 427 Computer-Aided Circuit Design (3) Application of the computer to the analysis, design, simulation, and construction of analog and digital circuits. Pre: 326 and 326L, or consent.

EE 435 Power Systems Analysis (3) Characteristics of transmission systems. Matrix algebra and representation of power systems. Numerical solutions of simultaneous algebraic and differential equations. Computer methods for short-circuit problems, load-flow studies, stability analysis. Pre: 331.

EE 436 Advanced Energy Conversion (3) Advanced topics on AC and DC machines, conventional and alternate energy conversion concepts, wind energy conversion, photovoltaic, thermoelectricity, storage, and utility interface considerations. Pre: 331.

EE 437 Power Electronics (3) Characteristics, modeling, analysis, and design of power electronic devices and circuits. Power diodes and thyristors. Converters and inverters. Control of voltage, frequency, electric motors. Pre: 323 and 331, or consent.

EE 441 Statistical Communications (3) Random variables, random processes, stationarity, correlation functions, spectral characteristics, linear filters, applications to noisy communication systems. Pre: 341 and MATH 471.

EE 446 Information Theory and Coding (3) Models of communication systems. Channel noise, measurement, and coding of information. Intrinsic limits of performance of communication systems. Pre: 341 and 342; or consent.

EE 449 Computer Communication Networks (3) ISO Reference Model, Physical Layer, Data Link Layer protocols, local- and wide-area networks, routing, congestion and flow control, higher layer protocols, network design, ISDN, performance evaluation, high-speed networks. Pre: 315 and one of EE 342, MATH 371, or MATH 471; or consent.

EE 452 Digital Control Systems (3) Sampling/reconstruction, Z-transform, DT transfer function. Reachability/observability. State and output feedback, observer design, input-output models, diophantine equations. Implementation procedures. Pre: 315 and 351, or consent.

EE 453 Modern Control Theory (3) Analysis and synthesis of nonlinear control systems by means of Lagrange’s equation, state space techniques, maximum principle. Lyapunov’s theorems, the phase plane, and Z-transform techniques. Optimization and adaptation by means of gradient methods, calculus of variations, dynamic programming. Pre: 351.

EE 455 Design of Intelligent Robots (3) Study of the design principles of computer-controlled, intelligent robots such as roving vehicles, hand-eye systems. Pre: 351 and 367.

EE 460 Switching Circuit Theory (3) Threshold logic circuits, iterative combinational logic circuits, sequential circuits analysis and synthesis, minimization, state assignment, hazards, race conditions, fault-detection experiments, linear sequential circuits. Pre: 120 or 361.

EE 461 Computer Architecture (3) Structure of stored program machines, data flow machines, pipelining, fault-tolerant computing, instruction set design, effects of compilation on architecture, RISC vs. CISC architecture, uses of parallelism. Pre: 361.

EE 466 VLSI Design (3) Design, simulation, and fabrication of digital VLSI systems using field-programmable logic devices. Pre: 323 and 361.

EE 467 Object-oriented Software Engineering (3) Introduction to advanced techniques for designing, implementing, and testing computer software with a particular focus on using object-oriented design, analysis, and programming to produce high-quality computer programs that solve non-trivial problems. Pre: 367 or consent.

EE 468 Introduction to Operating Systems (3) Computer system organization; multiprocessor systems, memory hierarchies, assemblers, compilers, operating systems, virtual machine, memory management, processor management; information management. Pre: 260 and 367; or consent.

EE 473 Microwave Communications (3) Microwave amplifiers and oscillators, solid-state microwave devices, antennas, radio propagation as applied to a microwave communication system. Pre: 372.

EE 474 Antennas (3) Electromagnetic wave propagation in free space and ionized media. Geomagnetic and solar effects on the ionosphere. Absorption and dispersion. Antenna arrays, apertures, horns, impedance. Design of antenna systems. Pre: 372.

EE 475 Optical Communications (3) Principles and applications of optical fibers and waveguides. Fundamentals of optical communication systems (optical links, high-speed systems, wavelength-division-multiplexing networks, and network elements) and optical components (guided-wave circuits, lasers, detectors, and optical amplifiers). System and network integration issues. Repeatable once. A-F only. Pre: 371 or consent.

EE 477 Fundamentals of Radar, Sonar, and Navigation Systems (3) Discussion of basic radar detection and position- and velocity-measurement principles. Applications to various types of radar and sonar systems. Modern navigation aids. Pre: 371 or equivalent, and familiarity with waveguides or waveguide theory.

EE 480 Introduction to Biomedical and Clinical Engineering (3) Application of engineering principles and technology to biological and medical problems. Introduction to human anatomy, physiology, medical terminology, clinical measurements. Systems modeling, physiological control systems, computer applications, health-related problems. Pre: 213 and MATH 232.

EE 480L Biomedical Engineering Lab (1) (1 3-hr Lab) Measurement of bioelectrical signals, computer and electronic simulation of biological systems, design and evaluation of electronic circuits for biomedical measurements, evaluation of instruments for patient safety. Pre: 323 and 323L. Co-requisite: 480.

EE 481 Bioelectric Phenomena (3) Study of electrical phenomena in living systems. Mechanisms underlying bioelectric activity. Membrane and transepithelial potentials, skin impedance, electrocardiography, neuroelectric signals, diagnostic considerations, laboratory demonstrations. Pre: 480 or consent.

EE 482 Biomedical Instrumentation (3) (2 Lec, 1 3-hr Lab) Principles, applications, and design of biomedical instrumentation. Transducers, IC and microcomputer applications, patient safety. Pre: 326, 480, or consent.

EE 491 (Alpha) Special Topics in Electrical Engineering (3) Course content will reflect special interests of visiting/permanent faculty; to be oriented toward juniors and seniors. (B) artificial intelligence; (C) circuits; (D) communications; (E) computer hardware; (F) computer software; (G) computer vision; (H) control; (I) devices; (J) fields; (K) power. Pre: consent.

EE 494 Provisional Topics (3) Upper division course with subject matter to be announced.

EE 496 Senior Design Project (V) Investigation of advanced engineering problems. Pre: senior.

EE 499 Directed Reading (V) Investigation of advanced engineering problems. Pre: senior standing and consent.

EE 500 Master’s Plan B/C Studies (1)

EE 601 Graph Theory and Its Applications (3) Graphs and subgraphs, trees and treelike graphs, planar graphs, connectivity and edge-connectivity, applications. Pre: MATH 311 or consent.

EE 602 Algorithm I (3) Design and evaluation of machine representations, techniques and algorithms for sorting, pattern processing, computational geometry, mathematical computations, and engineering applications. Introduction to computational issues of time, space, communication, and program correctness. Pre: 367 or consent.

EE 603 Algorithm II (3) Techniques of parallel and distributed computation. Design and analysis of computational structures and algorithms based on general models of computer architecture. Issues in interprocessor communication and synchronization. Pre: 602, 660, or consent.

EE 604 Artificial Intelligence (3) LISP for machine intelligence applications, or related constraint object and logic-oriented languages. Pre: 467 or knowledge of LISP/PROLOG.

EE 606 Machine Processing of Natural Languages I (3) Review of computer language syntax analysis, natural language as a knowledge-based process, grammars and parsing, transition and augmented transition grammars, feature and function grammars, natural language parsing. Pre: 367 and knowledge of LISP.

EE 615 Advanced Digital Signal Processing (3) An advanced course in digital processing. Topics include fast DFT algorithms, multirate systems and filter banks, power spectrum estimation, linear prediction, optimum linear filters, and adaptive filtering. A-F only. Open to non-majors for CR/NC only. Pre: 415 or 640 or consent.

EE 618 Optimization Theory and Practice (3) Dynamic programming, nonlinear optimization, optimal control. Pre: 650.

EE 620 Advanced Electronic Circuits (3) Electronic circuits for precision measurement, computation, and signal processing. Low noise and interference reduction techniques. High-frequency and high-speed techniques. Micro-processor and biomedical applications. Pre: 422.

EE 621 Advanced Solid-State Devices (3) Advanced physical principles and design of modern solid-state electronic devices. Heterostructures, photodetectors, LED, junction lasers, and other devices of current importance identified from the current literature. Pre: 327.

EE 622 Optical Electronics I (3) Optical electronics including light-guiding, optical resonators, lasers, and applications. Pre: 327 or consent.

EE 623 Optical Electronics II (3) Electro-optics, noise detection, light and sound dielectric waveguide phenomena, lasers, optics, phase conjugation. Pre: 622 or consent.

EE 624 Microsensors and Microactuators I (3) Technology methods and physical principles of microsensors and microactuators. Vacuum technology, thin film deposition and characterization techniques, solid mechanics, micromachining, acoustics, piezoelectricity and principles of current microtransducers. Pre: 327 or consent.

EE 626 Microsensors and Microactuators II (3) Survey of current microsensors and microactuators; pressure sensors; accelerometers; thermal, chemical, and magnetic sensors; micromotors and transducers. Pre: 624 or consent.

EE 627 Advanced Topics in Physical Electronics (3) Recent developments in phenomena and devices of physical electronics. Pre: 327.

EE 628 Analysis and Design of Integrated Circuits (3) Fabrication constraints and design guidelines for integrated circuits. Nonlinear model of integrated circuit transistor. Design and analysis of integrated logic circuits and linear circuits. Pre: 323.

EE 631 Advanced Power Systems (3) Computer-aided analysis and design of large power systems: modeling, system protection, economic operation, short-circuit analysis, load-flow studies, and transient stability of N-machine systems. Pre: 331 and 435, or consent.

EE 633 Power Generation and Control (3) Power generation. Power exchange of interconnected areas, control of generation, simulation models and optimum control, power system security, state estimation. Pre: 351, 435, 436 or consent.

EE 640 Applied Random Processes (3) Random variables, multivariate distributions, random sequences, stochastic convergence, stationary and nonstationary processes, spectral analysis, Karhunen-Loeve expansion, Markov processes, mean square estimation, Kalman filters. Pre: MATH 471 or equivalent.

EE 641 Queueing Theory (3) Poisson, Markov, and renewal processes, M/G/1 queue, G/M/1 queue, queueing networks, simulation, and performance evaluation of computer systems and communication networks. Pre: 342, 640 (or concurrent), or consent.

EE 642 Detection and Estimation Theory (3) Fundamentals of signal detection and estimation theory. Hypothesis testing, parametric and nonparametric detection, sequential detection, parametric estimation, linear estimation, robust detection and estimation, and applications to communication systems. Pre: 640.

EE 643 Communication System Performance (3) Fundamental performance limits, signal detection and estimation, modulation, intersymbol interference, equalization adaptive filtering, sequence detection, synchronization, fading multipath channels, spread spectrum. Pre: 640.

EE 644 Computer Communication Networks (3) Fundamentals of computer communication networks including modeling, performance evaluation, routing, flow control, local area networks, distributed algorithms, and optimization algorithms. Pre: 342, MATH 471, or consent.

EE 645 Neural Nets and Learning Theory (3) Pattern recognition, neural networks, and machine learning. Discriminant functions, supervised and unsupervised learning, associative memories, feed forward and recurrent networks, learning complexity, computational learning theory and applications. Pre: 640.

EE 646 Advanced Information Theory (3) Measure of information, coding for discrete sources, discrete memoryless channels and capacity, the noisy channel coding theorem, source coding with fidelity criterion, rate-distortion theory, multiuser channels. Pre: 640.

EE 647 Source Coding (3) Theory and applications of source coding, rate-distortion theory, companding, lattice coding, tree coding, trellis coding, entropy-constrained coding, asymptotic theory, predictive and differential encoding, combined source/ channel coding, vector quantization. Pre: 640.

EE 648 Error-Control Coding I (3) Linear block codes, soft and hard decision decodings, correction of random errors, cyclic codes, BCH codes, Reed-Solomon codes, majority logic decodable codes, burst-error correcting codes, concatenated codes. Pre: MATH 311 or consent.

EE 649 Error-Control Coding II (3) Convolutional codes, Viberbi algorithm, sequential decoding, coded modulation, multistage decoding, concatenated coded modulation, coding for fading channels, error-control systems. Pre: 648

EE 650 Linear System Theory (3) State space theory of linear systems, controllability, observability, stability, irreducible realizations. Pre: 452.

EE 651 Nonlinear Control Systems (3) Digital simulations, phase-plane analysis, limit cycles and amplitude bounds, Lyapunov’s theorem, circle criterion of stability, lure systems, Popov’s stability theorem. Pre: 650.

EE 652 Optimal Control Systems (3) Optimal controls introduced through parametric optimization, calculus of variations, Euler-Lagrange and Hamilton-Jacobi equations, Pontryagin’s maximum principle, minimum-time and minimum-fuel problems, dynamic programming, applications. Pre: 650 or consent.

EE 655 Robust Control (3) Multivariable frequency response design, signals and systems, linear fractional transformations, LQG Control, Full Information H-infinity Controller Synthesis, H-infinity filtering, model reduction, the four-block problem. Pre: 453 and 650.

EE 660 Computer Architecture I (3) Models of computation, high-performance processors, pipelined machines, RISC processors, VLIW, superscalar and fine-grain parallel machines. Data-flow architectures. Hardware/software tradeoffs. Pre: 461.

EE 661 Computer Architecture II (3) Design principles and techniques for architecture of parallel processing computers, processors, memories, interprocessor communication mechanism, multiprocessor scheduling and synchronization. Pre: 660 or consent.

EE 665 Computer Systems (3) Modern operating system software, process communication, distributed systems, device drivers. Software development and maintenance, integration of software packages. Projects reflecting special interests of faculty. Pre: 461 and 468.

EE 668 Telecommunication Networks (3) Telecommunication-network architecture; switching, broadcast, and wireless networks; protocols, interfaces, routing, flow- and congestion-control techniques; intelligent network architecture; service creation capabilities; multimedia, voice, data, and video networks and services. Pre: 468 or consent.

EE 671 Electromagnetic Theory and Applications (3) Solutions of Maxwell’s equations and applications to radiation and propagation of electromagnetic waves. Pre: 372 and MATH 402.

EE 673 Advanced Microwave Electronics (3) Analysis and design of microwave amplifiers using scattering parameters and signal-flow graphs. Principles of oscillator design. Use of CAD tools. Pre: 372.

EE 680 Biomedical Engineering Systems (3) Systems analysis and electronic instrumentation methods in biomedicine. Network and control-loop modeling, computer simulation, biological transducers, and analysis of electronic and physiological systems. Pre: 326, 326L, and 371; or consent.

EE 691 Seminar in Electrical Engineering (1) CR/NC only. Pre: graduate standing and consent.

EE 692 Seminar in Electrical Engineering (1) CR/NC only. Pre: graduate standing and consent.

EE 693 (Alpha) Special Topics in Electrical Engineering (3) Course content will reflect special interests of visiting/permanent faculty. (B) artificial intelligence; (C) circuits; (D) communications; (E) computer hardware; (F) computer software; (G) computer vision; (H) control; (I) devices; (J) fields; (K) power. Pre: consent.

EE 699 Directed Reading or Research (V) CR/NC only. Pre: graduate standing and consent.

EE 700 Thesis Research (V) Research for master’s thesis. Pre: candidacy for MS in electrical engineering.

EE 790 Directed Instruction (V) Student assists in undergraduate classroom and/or project instruction under direction and close supervision of faculty member. CR/NC only. Pre: admission to PhD candidacy.

EE 800 Dissertation Research (V) Research for doctoral dissertation. Pre: candidacy for PhD in electrical engineering.

For key to symbols and abbreviations, see the first page of this section.

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