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(Administered by the Department of Electrical and Computer Engineering)
Arun K. Somani, Chair of Department
For the undergraduate curriculum in electrical engineering leading to the degree bachelor of science, see College of Engineering, Curricula. This curriculum is accredited by the Engineering Accreditation Commission of the Accreditation Board for Engineering and Technology.
The Department of Electrical and Computer Engineering at Iowa State University provides undergraduate students with the opportunity to learn electrical and computer engineering fundamentals, to study applications of the most recent advances in state-of-the-art technologies, and to prepare for the practice of electrical engineering. The student-faculty interaction necessary to realize this opportunity occurs within an environment that is motivated by the principle that excellence in undergraduate education is enhanced by an integrated commitment to successful, long-term research and outreach programs.
The electrical engineering curriculum offers a number of emphasis areas at the undergraduate level, including control systems, electromagnetics, microelectronics, VLSI, power systems, and communications and signal processing. Students are required to choose at least one course sequence which focuses on one of these areas; therefore graduates have substantial depth in specific areas to complement the breadth obtained in the required curriculum. Students may also take elective courses in computer networking, security, computer architecture, digital systems, and software.
The objective of the Electrical Engineering program at ISU is that its graduates should demonstrate expertise, engagement, learning, leadership, and teamwork within five years after graduation.
Expertise: Graduates should establish peer-recognized expertise together with the ability to articulate that expertise and use it for problem solving in at least one of the following domains of communications and signal processing, controls, electromagnetics, power and energy, electronic devices, semiconductor materials, and analog and digital circuits.
Engagement: Graduates should be engaged in the engineering profession, locally and globally, contributing to the development of the nation, the quality of life of its people, and the engineering profession through the ethical, competent, and creative practice of electrical engineering in industry, academia, or the public sector, or graduates may use the program as a foundation for interdisciplinary careers in business, law, medicine, or public service.
Learning: Graduates should demonstrate sustained learning through graduate work or professional improvement opportunities and through self study, and they should demonstrate the ability to adapt in a constantly changing field.
Leadership: Graduates should exhibit leadership and initiative to advance professional and organizational goals, facilitate the achievements of others, and obtain results.
Teamwork: Graduates should demonstrate effective teaming and commitment to working with others of diverse cultural and interdisciplinary backgrounds by applying engineering abilities, communication skills, and knowledge of contemporary and global issues.
As a complement to the instructional activity, the ECPE Department provides opportunities for each student to have experience with broadening activities. Through the Cooperative Education and Internship Program, students have the opportunity to gain practical industry experience. See College of Engineering, Cooperative Programs. Students have the opportunity to participate in advanced research activities; and through international exchange programs, students learn about engineering practices in other parts of the world. Well-qualified juniors and seniors in electrical engineering who are interested in graduate study may apply for concurrent enrollment in the Graduate College to simultaneously pursue both B.S. and M.S. degrees or B.S. and M.B.A. degrees. See Graduate Study for more information.
Students are required to prepare and to maintain a portfolio of their technical and non-technical skills. This portfolio is evaluated for student preparation during the student's curriculum planning process. Results of the evaluation are used to advise students of core strengths and weaknesses.
Courses for students who are not in the electrical engineering program: 442, 448. Credit in these courses may not be counted toward a degree in either electrical engineering or computer engineering.
Credit for only one of the following courses may be counted towards graduation: E E 201 and 442.
The department offers work for the degrees master of science and doctor of philosophy with major in electrical engineering and minor work to students with other majors. Minor work for electrical engineering majors is usually selected from a wide range of courses outside electrical engineering.
The degree master of science with thesis is recommended for students who intend to continue toward the doctor of philosophy degree or to undertake a career in research and development. The nonthesis master of science degree requires a creative component.
The normal Prerequisite to major graduate work in electrical engineering is the completion of undergraduate work substantially equivalent to that required of electrical engineering students at this university. Because of the diversification in the electrical engineering graduate program, however, it is possible for a student to qualify for graduate study in certain areas of electrical engineering even though the student's undergraduate or prior graduate training has been in a discipline other than electrical engineering. Supporting work, if required, will depend on the student's background and area of research interest. Prospective students from a discipline other than electrical engineering are required to submit, with the application for admission, a statement of the proposed area of graduate study.
The department requires submission of GRE General test scores by applicants from other countries. All students whose first language is not English and who have no U.S. degree must submit TOEFL examination scores. Ph.D. students must pass a department qualifying examination. The Department of Electrical and Computer Engineering is a participating department in the interdepartmental graduate minor in Complex Adaptive Systems. Students intereseted in this program should see the Complex Adaptive Systems section of the catalog for requirements.
The Department of Electrical and Computer Engineering is a participating department in the interdepartmental M.S. and Ph.D. degree programs in bioinformatics and computational biology. Students interested in these programs may earn their degrees while working under an adviser in electrical and computer engineering.
The Department of Electrical and Computer Engineering is also a participating department in the interdepartmental master of science in information assurance program. Students interested in studying Information Assurance topics may earn a degree in computer engineering or in information assurance. (See catalog section on information assurance.)
The Department of Electrical and Computer Engineering offers a graduate certificate in electric power systems engineering. Completion of the certificate requires at least twelve credits selected from 553, 554, 555, 556, and 653. E E 653 is a repeatable course and may be used more than once to satisfy the certificate requirement.
Well qualified juniors or seniors in Electrical Engineering who are interested in graduate study may apply for concurrent enrollment in the Graduate College to simultaneously pursue both B.S. and M.S. degrees or B.S. and M.B.A. degrees. Under concurrent enrollment, students are eligible for assistantships and simultaneously take undergraduate and graduate courses. Details are available in the Student Services Office and on the department's web site.
Courses open for nonmajor graduate credit: all 300- and 400-level courses except 322, 396, 397, 398, 463, 466, 490, 491, 492, 494, and 498.
Courses primarily for undergraduate students
E E 185. Introduction to Electrial Engineering and Problem-Solving I. (2-2) Cr. 3. F.S. Prereq: Credit or enrollment in Math 142. Project based examples from electrical engineering. Systematic thinking process for engineering problem solving. Group problem solving. Mathematical, conceptual and computer based projects. Solving engineering problems and presenting solutions through technical reports and oral presentations. Solutions of engineering problems using computation tools and basic programming in C.
E E 186. Introduction to Electrical Engineering and Problem Solving II. (0-2) Cr. 1. S. Prereq: 185. Project based and hands on continuation of 185. Group skills needed to work effectively in teams. Individual interactive skills for small and large groups. Learning to use tools and methods for solving electrical engineering problems.
E E 224. Signals and Systems I. (3-3) Cr. 4. F.S. Prereq: 201, Math 267, Phys 222. Mathematical preliminaries. Introduction to signals and systems. Signal manipulations. System properties. LTI systems, impulse response and convolution. Fourier Series representation and properties. Continuous and discrete-time Fourier Transforms and properties. Applications and demonstrations using Matlab.
E E 230. Circuits and Systems in Electronics. (3-3) Cr. 4. F.S. Prereq: 201, Math 267, Phys 222. Frequency domain characterization of electronic circuits and systems, transfer functions, sinusoidal steady state response. Time domain models of linear and nonlinear electronic circuits, linearization, small signal analysis. Stability and feedback circuits. Operational amplifiers, models, linear and nonlinear applications, transfer function realizations. A/D and D/A converters, sources of distortions, converter linearity and spectral characterization, applications. Hands-on laboratories.
E E 298. Cooperative Education. Cr. R each time taken. F.S.SS. Prereq: Permission of department and Engineering Career Services. First professional work period in the cooperative education program. Students must register for this course before commencing work.
E E 311. Electromagnetic Fields and Waves. (4-0) Cr. 4. F.S. Prereq: 201, Math 265, Phys 222, credit or registration in Math 267. Fundamentals and applications of electric and magnetic fields and materials. Electrostatics and magentostatics, potentials, capacitance and inductance, energy, force, torque. Uniform plane electromagnetic waves, Poynting vector. Transmission lines: transient and sinusoidal steady-state conditions, reflection coefficient. Nonmajor graduate credit.
E E 322. Probabilistic Methods for Electrical Engineers. (Same as Stat 322.) (3-0) Cr. 3. F.S. Prereq: 224. Introduction to probability with applications to electrical engineers. Sets and events, probability space, conditional probability, total probability and Bayes' rule. Discrete and continuous random variables, cumulative distribution function, probability mass and density functions, expectation, moments, moment generating function, multiple random variables, functions of random variables. Elements of statistics, hypothesis testing, confidence intervals, least squares. Introduction to random processes.
E E 324. Signals and Systems II. (3-0) Cr. 3. F.S. Prereq: 224. Analog and digital filters. Sampling and reconstruction. Modulation and demodulation. Laplace and z-Transforms and their properties. Transfer functions. Feedback systems and stability. State-space representation. Nonmajor graduate credit.
E E 330. Integrated Electronics. (Same as Cpr E 330.) (3-3) Cr. 4. F.S. Prereq: 201, credit or enrollment in 230, Cpr E 210. Semiconductor technology for integrated circuits. Modeling of integrated devices including diodes, BJTs, and MOSFETs. Physical layout. Circuit simulation. Digital building blocks and digital circuit synthesis. Analysis and design of analog building blocks. Laboratory exercises and design projects with CAD tools and standard cells. Nonmajor graduate credit.
E E 332. Semiconductor Materials and Devices. (Same as Mat E 332) (3-0) Cr. 3. S. Prereq: Mat E 231 or E E 201. Introduction to semiconductor material and device physics. Quantum mechanics and band theory of semiconductors. Charge carrier distributions, generation/recombination, transport properties. Physical and electrical properties and fabrication of semiconductor devices such as MOSFETs, bipolar transistors, laser diodes and LED's. Nonmajor graduate credit.
E E 396. Summer Internship. Cr. R each time taken. SS. Prereq: Permission of department and Engineering Career Services. Summer professional work period. Students must register for this course before commencing work.
E E 397. Engineering Internship. Cr. R each time taken. F.S. Prereq: Permission of department and Engineering Career Services. One semester maximum per academic year professional work period. Students must register for this course before commencing work.
E E 398. Cooperative Education. Cr. R each time taken. F.S.SS. Prereq: 298, permission of department and Engineering Career Services. Second professional work period in the cooperative education program. Students must register for this course before commencing work.
E E 409. Interdisciplinary Systems Effectiveness. (Same as I E 409, I Tec 409.) (3-0) Cr. 3. F.S. Prereq: Junior or senior standing. Focus on functions that determine the effectiveness of an entire organization. Generic Theory of Constraints solutions to production, distribution, project management are compared to traditional solutions. Strategy for improvements discovered using simulations and group projects. Nonmajor graduate credit.
E E 414. Microwave Engineering. (Dual-listed with 514.) (3-3) Cr. 4. F. Prereq: 230, 311. Principles, analyses, and instrumentation used in the microwave portion of the electromagnetic spectrum. Wave theory in relation to circuit parameters. S parameters, couplers, discontinuities, and microwave device equivalent circuits. RF amplifier design, microwave sources, optimum noise figure and maximum power designs. Microwave filters and oscillators. Nonmajor graduate credit.
E E 417. Electromagnetic Radiation, Antennas, and Propagation. (Dual-listed with 517.) (3-3) Cr. 4. S. Prereq: 311. Fundamental antenna concepts. Radiation from wire-and aperture-type sources. Radio transmission formulas. Wave and antenna polarization. Antenna arrays. Modern antenna topics. Practical antenna design. Antenna noise. Radiowave propagation in the presence of the earth and its atmosphere. Antenna measurements and computer aided analysis. Nonmajor graduate credit.
E E 421. Communication Systems I. (3-0) Cr. 3. F. Prereq: 224, credit or registration in 322. Frequency domain analysis, spectral filtering, bandwidth. Linear modulation sytems. Angle modulation systems. Phase locked loop, super-heterodyne receiver. Sampling and pulse code modulation. Digital data transmission, line coding, pulse shaping, multiplexing. Nonmajor graduate credit.
E E 422. Communication Systems II. (3-0) Cr. 3. Prereq: 421 and enrollment in 423. Introduction to probability and random processes; Performance of analog systems with noise; Performance of digital communication with noise; optimum receivers, transmission impairments, and error rates; Introduction to information theory and coding: source coding, channel coding, channel capacity. Nonmajor graduate credit.
E E 423. Communication Systems Laboratory. (0-3) Cr. 1. Prereq: 421, enrollment in 422. Construction and evaluation of modulators, demodulators, modems, and other components for analog and digital communications. Design and evaluate wireless communication systems and their key components. Noise measurement. Design and construction of a communication system. Nonmajor graduate credit.
E E 424. Introduction to Digital Signal Processing. (3-3) Cr. 4. Prereq: 324. Discrete Fourier Transform (DTF). Signal processing using the DFT. Fast Fourier algorithms. Design of IIR and FIR filters. Multi-rate signal processing. Spectral Analysis. Simulation and real-time laboratory experiments illustrating practical DSP implementations and applications. Nonmajor graduate credit.
E E 432. Microelectronics Fabrication Techniques. (Dual-listed with 532; same as Mat E 432.) (2-4) Cr. 4. Semester: varies. Prereq: E E 332 or Mat E 332. Techniques used in modern integrated circuit fabrication, including diffusion, oxidation, ion implantation, lithography, evaporation, sputtering, chemical-vapor deposition, and etching. Process integration. Process evaluation and final device testing. Extensive laboratory exercises utilizing fabrication methods to build electronic devices. Use of computer simulation tools for predicting processing outcomes. Recent advances in processing CMOS ICs and micro-electro-mechanical systems (MEMS). Nonmajor graduate credit.
E E 435. Analog VLSI Circuit Design. (Same as Cpr E 435.) (3-3) Cr. 4. S. Prereq: 324, 330, 332, and either EE 322 or Stat 330. Basic analog integrated circuit and system design including design space exploration, performance enhancement strategies, operational amplifiers, references, integrated filters, and data converters. Nonmajor graduate credit.
E E 438. Optoelectronic Devices and Applications. (Dual-listed with 538.) (3-0) Cr. 3. Prereq: 311, 332. Transmission and reflection of electromagnetic plane waves. Propagation in dielectric and fiber optic waveguides. LED and laser operating principles and applications. Photodetectors and solar cells. Optical modulation and switching. Nonmajor graduate credit.
E E 442. Introduction to Circuits and Instruments. (3-2) Cr. 2. Half-semester course. F.S. Prereq: Phys 222, Math 267. Basic circuit analysis using network theorems with time domain and Laplace transform techniques for resistive, resistive-inductive, resistive-capacitive, and resistive-inductive- capacitive circuits. Transient circuit behavior. Basic operational amplifiers and applications. Familiarization with common E E instrumentation and demonstration of basic principles. Nonmajor graduate credit.
E E 448. Introduction to AC Circuits and Motors. (3-2) Cr. 2. Half-semester course. F.S. Prereq: 303 or 441 or 442. Magnetic circuits. Power transformers. AC steady state and three-phase circuit analysis. Basic principles of operation and control of induction and single-phase motors. Nonmajor graduate credit.
E E 452. Electrical Machines and Power Electronic Drives. (2-3) Cr. 3. S. Prereq: 303; 330 or 332; credit or registration in E E 324. Basic concepts of electromagnetic energy conversion. DC motors and three-phase induction motors. Basic introduction to power electronics. Adjustable speed drives used for control of DC, induction, and AC motors. Experiments with converter topologies, DC motors, AC motors and adjustable speed drives. Nonmajor graduate credit.
E E 455. Introduction to Energy Distribution Systems. (3-0) Cr. 3. F. Prereq: 303, credit or registration in 324. Overhead and underground distribution system descriptions and characteristics, load descriptions and characteristics, overhead line and underground cable models, distribution transformers, power flow and fault analysis, overcurrent protection, power factor correction, system planning and automation, and economics in a deregulated environment. Nonmajor graduate credit.
E E 456. Power System Analysis I. (3-0) Cr. 3. F. Prereq: 303, credit or registration in 324. Power transmission lines and transformers, synchronous machine modeling, network analysis, power system representation, load flow. Nonmajor graduate credit.
E E 457. Power System Analysis II. (3-0) Cr. 3. S. Prereq: 303, credit or registration in 324. Power system protection, symmetrical components, faults, stability. Power system operations including the new utility environment. Nonmajor graduate credit.
E E 458. Economic Systems for Electric Power Planning. (Same as Econ 459.) (3-0) Cr. 3. Prereq: 303 or Econ 301. Evolution of electric power industry. Power system operation and planning and related information systems. Integer optimization methods. Control technologies and associated planning methods. Short-term electricity markets and locational marginal prices. Risk management and financial derivatives. Basics of public good economics. Cost recovery models including tax treatment for transmission investments. Nonmajor graduate credit.
E E 463. Design of Electrical Systems. (1-10) Cr. 5. SS. Prereq: 322 and completion of 24 credits in the
E E 465. Digital VLSI Design. (Same as Cpr E 465.) (3-3) Cr. 4. S. Prereq: 330. Digital design of integrated circuits employing very large scale integration (VLSI) methodologies. High level hardware design languages CMOS logic design styles, area-energy-delay design space characterization, datapath blocks: arithmetic and memory, architectures and systems on a chip (SOC) considerations. VLSI chip hardware design project. Nonmajor graduate credit.
E E 466. Multidisciplinary Engineering Design. (Same as Cpr E 466, I E 466, M E 466, Mat E 466.) (1-4) Cr. 3. F. S. Prereq: Student must be within two semesters of graduation and receive permission of instructor. Application of team design concepts to projects of a multidisciplinary nature. Concurrent treatment of design, manufacturing, and life cycle considerations. Application of design tools such as CAD, CAM, and FEM. Design methodologies, project scheduling, cost estimating, quality control, manufacturing processes. Development of a prototype and appropriate documentation in the form of written reports, oral presentations and computer models and engineering drawings.
E E 475. Automatic Control Systems. (3-0) Cr. 3. F. Prereq: 324. Stability and performance analysis of automatic control systems. The root locus and frequency response methods for control systems design. PID control and lead-lag compensation. Computer tools for control system analysis and design. Nonmajor graduate credit.
E E 476. Control System Simulation. (2-3) Cr. 3. S. Prereq: 475. Computer aided techniques for feedback control system design, simulation, and implementation. Nonmajor graduate credit.
E E 490. Independent Study. Cr. arr. Prereq: Senior classification in electrical engineering. Investigation of an approved topic commensurate with the student's Prerequisites.
E E 491. Senior Design Project I and Professionalism. (Same as Cpr E 491.) (2-3) Cr. 3. F.S. Prereq: 322 or Cpr E 308, completion of 24 credits in the E E core professional program or 29 credits in the Cpr E core professional program, Engl 314. Preparing for entry to the workplace. Selected professional topics. Use of technical writing skills in developing project plan and design report; project poster. First of two-semester team-oriented, project design and implementation experience.
E E 492. Senior Design Project II. (Same as Cpr E 492.) (1-3) Cr. 2. F.S. Prereq: 491 or Cpr E 491. Second semester of a team design project experience. Emphasis on the successful implementation and demonstration of the design completed in E E 491 or Cpr E 491 and the evaluation of project results. Technical writing of final project report; oral presentation of project achievements.
E E 494. Portfolio Assessment. (Same as Cpr E 494.) (1-0) Cr. R. Prereq: Credit or enrollment in 491. Portfolio update and evaluation. Portfolios as a tool to enhance career opportunities.
E E 498. Cooperative Education. Cr. R each time taken. F.S.SS. Prereq: 398, permission of department and Engineering Career Services. Third and subsequent professional work periods in the cooperative education programs. Students must register for this course before commencing work. Courses primarily for graduate students, open to qualified undergraduate students
E E 505. CMOS and BiCMOS Data Conversion Circuits. (Same as Cpr E 505.) (3-3) Cr. 4. Alt. S., offered 2004. Prereq: 501. Theory, design and applications of data conversion circuits (A/D and D/A converters) including: architecturs, characterization, quantization effects, conversion algorithms, spectral performance, element matching, design for yield, and practical comparators, implementation issues.
E E 507. VLSI Communication Circuits. (Same as Cpr E 507.) (3-0) Cr. 3. Alt. S., offered 2007. Prereq: 330 or 501. Phase-locked loops, frequency synthesizers, clock and data recovery circuits, theory and implementation of adaptive filters, low- noise amplifiers, mixers, power amplifiers, transmitter and receiver architectures.
E E 508. Filter Design and Applications. (3-3) Cr. 4. Prereq: 501. Filter design concepts. Approximation and synthesis. Transformations. Continuous-time and discrete time filters. Discrete, active and integrated synthesis techniques.
E E 510. Topics in Electromagnetics. Cr. 1 to 3 each time taken.
E E 511. Modern Optical Communications. (3-0) Cr. 3. S. Prereq: 311. Propagation in optical media. Optical fibers. Optical sources and detectors. Fiber optic communications systems. DWDM considerations.
E E 512. Advanced Electromagnetic Field Theory I. (3-0) Cr. 3. F. Prereq: 311. Review of static electric and magnetic fields. Maxwell's equaitons. Circuit concepts and impedance elements. Propagation and reflection of plane waves in isotropic media. Guided electromagnetic wave. Characteristics of common waveguides and transmission lines. Propagation in anisotropic media. Special theorems and concepts. Radiation and scattering.
E E 513. Advanced Electromagnetic Field Theory II. (3-0) Cr. 3. S. Prereq: 512. Green's functions, perturbational and variational techniques. Analysis of microstrip lines and interconnects. Spectral domain approach, waves in layered media. Integral equations. Inverse scattering. Electromagnetic applications.
E E 514. Microwave Engineering. (Dual-listed with 414.) (3-3) Cr. 4. F. Prereq: 230, 311. Principles, analyses, and instrumentation used in the microwave portion of the electromagnetic spectrum. Wave theory in relation to circuit parameters. S parameters, couplers, discontinuities, and microwave device equivalent circuits. RF amplifier design, microwave sources, optimum noise figure and maximum power designs. Microwave filters and oscillators.
E E 516. Computational Methods in Electromagnetics. (3-0) Cr. 3. S. Prereq: 311. Maxwell's equations. Analytical methods. Differential equation based methods. Finite Difference and Finite Difference Time Domain Methods, Boundary Conditions, Finite Element Method. Applications to the Analysis of Practical Devices. Integral Equation Based Methods. Electric and Magnetic Field Integral Equations. Fast Solution Methods.
E E 517. Electromagnetic Radiation, Antennas, and Propagation. (Dual-listed with 417.) (3-3) Cr. 4. S. Prereq: 311. Fundamental antenna concepts. Radiation from wire-and aperture-type sources. Radio transmission formulas. Wave and antenna polarization. Antenna arrays. Modern antenna topics. Practical antenna design. Antenna noise. Radiowave propagation in the presence of the earth and its atmosphere. Antenna measurements and computer-aided analysis.
E E 519. Magnetism and Magnetic Materials. (Same as M S E 519.) (3-0) Cr. 3. Alt. F. offered 2005. Prereq: 311 or Mat E 211 or 271 or 272 or Phys 364. Magnetic fields, flux density and magnetization. Magnetic materials, magnetic measurements. Magnetic properties of materials. Domains, domain walls, domain processes, magnetization curves and hysteresis. Types of magnetic order, magnetic phases and critical phenomena. Magnetic moments of electrons, theory of electron magnetism. Technological application, soft magnetic materials for electromagnets, hard magnetic materials, permanent magnets, magnetic recording technology, magnetic measurements of properties for materials evaluation.
E E 520. Selected Topics in Communications and Signal Processing. (3-0) Cr. 3 each time taken. Space-time processing. Multiuser communications. Statistical signal processing. Pattern recognition. Coding theory. Multirate communications and signal processing. Signal processing and communications applications.
E E 521. Advanced Communications. (3-0) Cr. 3. F. Prereq: 422, Math 317, Math 365. Topics in advanced digital communication systems, emphasizing wireless and multiuser communications. Receiver performance on AWGN channels, bandlimited channels, channel equalization, fading multipath channels, spread spectrum signals, and multiuser detectors.
E E 523. Random Processes for Communications and Signal Processing. (3-0) Cr. 3. Prereq: 322, Math 317. Axioms of probability; Repeated trials; Functions of a random variable and multiple random variables: covariance matrix, conditional distribution, joint distribution, moments, and joint moment generating function; Mean square estimation; stochastic convergence; Some important stochastic processes: Random walk, Poisson, Wiener, and shot noise; Markov chaines; Power spectral analysis; Selected applications.
E E 524. Digital Signal Processing. (3-0) Cr. 3. F. Prereq: 322, 424, Math 317. Signal modeling. Introduction to filter banks and multi-rate signal processing. Spectral estimation (classical and high resolution). Optimal and adaptive filtering. Introduction to adaptive arrays. Applications.
E E 527. Detection and Estimation Theory. (3-0) Cr. 3. S. Prereq: 422. Classical statistical decision theory, decision criteria, binary and composite hypothesis tests. Error probability and Chernoff bound. Statistical estimation theory and performance measures. Maximum likelihood estimation and sufficiency, Cramer-Rao bound, Bayesian estimation, optimum demodulation, signal design. Applications.
E E 528. Digital Image Processing. (3-0) Cr. 3. S. Prereq: 322, 424. Image representation, sampling, and formats. Edge models, histograms, intensity enhancement, and image statistics. Image transforms and multi-resolution signal processing. Image restoration. Compression and coding techniques. Mathematical morphology. Object recognition and computer vision concepts. Current applications.
E E 530. Selected Topics in Electronics, Microelectronics and Photonics. (3-0) Cr. 3 each time taken. Prereq: 332.
E E 532. Microelectronics Fabrication Techniques. (Dual-listed with 432.) (2-4) Cr. 4. Prereq: 332. Techniques used in modern integrated circuit fabrication, including diffusion, oxidation, ion implantation, lithography, evaporation, sputtering, chemical-vapor deposition, and etching. Process integration. Process evaluation and final device testing. Extensive laboratory exercises utilizing fabrication methods to build electronic devices. Use of computer simulation tools for predicting processing outcomes. Recent advances in processing CMOS ICs and micro-electro-mechanical systems (MEMS).
E E 535. Physics of Semiconductors. (Same as Phys 535.) (3-3) Cr. 4. Prereq: 311 and 332. Basic elements of quantum theory, Fermi statistics, motion of electrons in periodic structures, crystal structure, energy bands, equilibrium carrier concentration and doping, excess carriers and recombination, carrier transport at low and high fields, phonons, optical properties, amorphous semiconductors, heterostructures, and surface effects. Laboratory experiments on optical properties, carrier lifetimes, mobility, defect density, doping density.
E E 536. Physics of Semiconductor Devices. (Same as Phys 536.) (3-0) Cr. 3. Prereq: 535. P-n junctions, band-bending theory, tunneling phenomena, Schottky barriers, heterojunctions, bipolar transistors, field-effect transistors, negative-resistance devices and optoelectronic devices.
E E 538. Optoelectronic Devices and Applications. (Dual-listed with 438.) (3-0) Cr. 3. Prereq: 311, 332. Transmission and reflection of electromagnetic plane waves. Propagation in dielectric and fiber optic waveguides. LED and laser operating principles and applications. Photodetectors and solar cells. Optical modulation and switching.
E E 545. Artificial Neural Networks. (3-0) Cr. 3. F. Prereq: 324. Introduction to the fundamentals of artificial neural networks (ANNs). Theory and practical implementation of networks. ANNs for pattern recognition, function approximation, prediction. Activation functions, neural net architectures, supervised and unsupervised learning. Various neural network methods and architectures.
E E 547. Pattern Recognition. (3-0) Cr. 3. F. Prereq: 324. Mathematical formulation of pattern recognition problems and decision functions. Statistical approaches: Bayes classifier, probability density function estimation and expectation minimization. Clustering (supervised and unsupervised), learning, and neural network algorithms. Fuzzy recognition systems. Feature selection systems. Current applications.
E E 553. Steady State Analysis. (3-0) Cr. 3. F. Prereq: 456, 457. Power flow, economic dispatch, unit commitment, automatic generation control, sparse matrix techniques, interconnected operation, voltage control.
E E 554. Power System Dynamics. (3-0) Cr. 3. S. Prereq: 456, 457, 475. Dynamic performance of power systems with emphasis on stability. Modeling of system components and control equipment. Analysis of the dynamic behavior of the system in response to small and large disturbances.
E E 555. Advanced Energy Distribution Systems. (3-0) Cr. 3. Prereq: 455. Transient models of distribution components, automated system planning and distribution automation, surge protection, reliability, power quality, power electronics and intelligent systems applications.
E E 556. Power Electronic Systems. (3-0) Cr. 3. Prereq: 452. Converter topologies, AC/DC, DC/DC, DC/AC, AC/AC. Converter applications to do motor drives, power supplies, AC motor drives, power system utility applications (var compensators) and power quality.
E E 565. Systems Engineering and Analysis. (Same as Aer E 565, I E 565.) (3-0) Cr. 3. F. Prereq: Graduate classification in engineering. Introduction to organized multidisciplinary approach to designing and developing systems. Concepts, principles, and practice of systems engineering as applied to large integrated systems. Life-cycle costing, scheduling, risk management, functional analysis, conceptual and detail design, test, evaluation and systems engineering planning and organization.
E E 566. Avionics Systems Engineering. (Same as Aer E 566.) (3-0) Cr. 3. S. Prereq: 565. Avionics functions. Applications of systems engineering principles to avionics. Top down design of avionics systems. Automated design tools.
E E 570. Systems Engineering Analysis and Design. (3-0) Cr. 3. Prereq: 475, 577. Selected topics in abstract algebra, linear algebra, real analysis, functional analysis, and optimization methods in electrical engineering.
E E 573. Random Signal Analysis and Kalman Filtering. (Same as Aer E 573, Math 573, M E 573.) (3-0) Cr. 3. S. Prereq: 324 or Aer E 331 or M E 370 or 411 or Math 341 or 395. Elementary notions of probability. Random processes. Autocorrelation and spectral functions. Estimation of spectrum from finite data. Response of linear systems to random inputs. Discrete and continuous Kalman filter theory and applications. Smoothing and prediction. Linearization of nonlinear dynamics.
E E 574. Optimal Control. (Same as Aer E 574, Math 574, M E 574.) (3-0) Cr. 3. S. Prereq: 577. The optimal control problem. Variational approach. Pontryagin's principle, Hamilton-Jacobi equation. Dynamic programming. Time-optimal, minimum fuel, minimum energy control systems. The regulator problem. Structures and properties of optimal controls.
E E 575. Introduction to Robust Control. (Same as Math 575, Aer E 575, M E 575.) (3-0) Cr. 3. Prereq: 577. Introduction to modern robust control. Model and signal uncertainty in control systems. Uncertainty description. Stability and performance robustness to uncertainty. Solutions to the H2, Hoo, and l1 control problems. Tools for robustness analysis and synthesis.
E E 576. Digital Feedback Control Systems. (Same as Aer E 576, Math 576, M E 576.) (3-0) Cr. 3. F. Prereq: 475 or Aer E 432 or M E 411 or 414 or Math 415; and Math 267. Sampled data, discrete data, and the z-transform. Design of digital control systems using transform methods: root locus, frequency response and direct design methods. Design using state-space methods. Controllability, observability, pole placement, state estimators. Digital filters in control systems. Microcomputer implementation of digital filters. Finite wordlength effects. Linear quadratic optimal control in digital control systems. Simulation of digital control systems.
E E 577. Linear Systems. (Same as Aer E 577, Math 577, M E 577.) (3-0) Cr. 3. F. Prereq: 324 or Aer E 331 or M E 414 or Math 415; and Math 307. State variable and input-output descriptions of linear continuous-time and discrete-time systems. Solution of linear dynamical equations. Controllability and observability of linear dynamical systems. Canonical descriptions of linear equations. Irreducible realizations of rational transfer function matrices. Canonical form dynamical equations. State feedback. State estimators. Decoupling by state feedback. Design of feedback systems. Stability of linear dynamical systems.
E E 578. Nonlinear Systems. (Same as Aer E 578, Math 578, M E 578.) (3-0) Cr. 3. S. Prereq: 577. Classification of nonlinear control systems. Existence and uniqueness of solutions. Approximate analysis methods. Periodic orbits. Concept of stability and Lyapunov stability theory. Absolute stability of feedback systems. Input-output stability. Passivity.
E E 590. Special Topics. Cr. 1 to 6 each time elected. Formulation and solution of theoretical or practical problems in electrical engineering.
E E 591. Seminar in Electronics, Microelectronics, and Photonics. Cr. 1 to 3 each time taken.
E E 592. Seminar in Nondestructive Evaluation. Cr. 1 each time taken. Prereq: Graduate student status. Offered on a satisfactory-fail grading basis only.
E E 594. Seminar in Electric Power. Cr. 1 to 3 each time taken.
E E 596. Seminar in Control Systems. Cr. 1 to 3 each time taken.
E E 597. Seminar in Communications and Signal Processing. Cr. 1 each time taken. Offered on a satisfactory-fail grading basis only.
E E 599. Creative Component. Cr. var.
Courses for Graduate students
E E 621. Coding Theory. Cr. 3. Prereq: 521. Fundamentals of error-control coding techniques: coding gain, linear block codes. Galois fields. Cyclic codes: BCH, Reed-Solomon. Convolutional codes and the Viterbi algorithm. Trellis-coded modulation. Iterative decoding. Recent developments in coding theory.
E E 622. Information Theory. (3-0) Cr. 3. Prereq: 521, 523. Information system overview. Entropy and mutual information. Data Compression and source encoding. Discrete memoryless channel capacity. Noisy channel coding theorem. Rate distortion theory. Waveform channels. Advanced topics in information theory.
E E 653. Advanced Topics in Electric Power System Engineering. (3-0) Cr. 3 each time taken. Prereq: Permission of instructor. Advanced topics of current interest in electric power system engineering.
E E 674. Advanced Topics in Systems Engineering. (3-0) Cr. 3 each time taken. Prereq: Permission of instructor. Advanced topics of current interest in the areas of control theory, stochastic processes, digital signal processing, and image processing.
E E 697. Engineering Internship. (Same as Cpr E 697.) Cr. R each time taken. Prereq: Permission of department chair and Engineering Career Services, graduate classification. One semester and one summer maximum per academic year professional work period. Offered on a satisfactory-fail grading basis only.
E E 699. Research. Cr. var.
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