2009-2011
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2009-2011AcademicsUniversity Information
DownloadsCatalog Index | Electrical Engineering100 |200 |300 |400 |Graduate Courses |500 |600 |(Administered by the Department of Electrical and Computer Engineering) Arun 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 ABET. 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 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 the bachelor of science and master of science degrees or the bachelor of science and master of science 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. 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. All students whose first language is not English and who have no U.S. degree must submit TOEFL examination scores. Students pursuing the doctor of philosophy must complete the department qualifying process. The Department of Electrical and Computer Engineering is a participating department in the interdepartmental graduate minor in complex adaptive systems. Students interested 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 master of science and doctor of philosophy 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 the bachelor of science and master of science degrees or the bachelor of science and master of business administration 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 primarily for undergraduate students E E 166. Professional Programs Orientation. (Cross-listed with Cpr E). Cr. R. F.S.(1-0) Overview of the nature and scope of electrical engineering and computer engineering professions. Overview of portfolios. Departmental rules, advising center operations, degree requirements, program of study planning, career options, and student organizations. E E 185. Introduction to Electrical 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 201. Electric Circuits. (3-2) Cr. 4. F.S.Prereq: Credit or registration in Math 267 and Phys 222. Emphasis on mathematical tools. Circuit elements (resistors, inductors, capacitors) and analysis methods including power and energy relationships. Network theorems. DC, sinusoidal steady-state, and transient analysis. AC power. Frequency response. Two port models. Diodes, PSPICE. Laboratory instrumentation and experimentation. Credit for only E E 201 or 442 may be used towards graduation. 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. Sampling and reconstruction. Modulation and demodulation. Applications and demonstrations using Matlab. E E 230. Electronic Circuits and Systems. (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, device models, linear and nonlinear applications, transfer function realizations. A/D and D/A converters, sources of distortions, converter linearity and spectral characterization, applications. Design and laboratory instrumentation and measurements. E E 294. Program Discovery. (Cross-listed with Cpr E). Cr. R.Prereq: 166 or Cpr E 166. The roles of professionals in computer and electrical engineering. Relationship of coursework to industry and academic careers. Issues relevant to today's world. Satisfactory-fail only. E E 298. Cooperative Education. Cr. R. 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 303. Energy Systems and Power Electronics. (3-0) Cr. 3. F.S.Prereq: Math 267, Phys 222. Credit or registration in 224 and 230. Structure of competitive electric energy systems. System operation and economic optimization. Mutual inductance, transformers. Synchronous generators. Balanced three-phase circuit analysis and power calculations. Network calculations and associated numerical algorithms. Two-port circuits. Voltage regulation. Resonance and power factor correction. DC and induction motors. Power electronic circuit applications to power supplies and motor drives. Electronic loads and power quality. Nonmajor graduate credit. 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 314. Electromagnetics for non Electrical Engineers. (3-0) Cr. 3.Prereq: Physics 222, 112, or equivalent. Conceptual study of electomagnetism and its application in engineering and related fields. Em fundamentals, Em spectrum, radiation, radiating systems, wireless, Moderns concepts of physics, transmission lines, high speed effects, waveguides, GPS and other related phenomena will be discussed and explained with the application in mind. Nonmajor graduate credit. E E 322. Probabilistic Methods for Electrical Engineers. (Cross-listed with Stat). (3-0) Cr. 3. F.S.Prereq: E E 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. (3-3) Cr. 4. F.S.Prereq: 224. Laplace and z-Transforms, properties and inverses. Applications to LTI systems and analog/digital filters. Feedback systems and stability. State-space representation and analysis. Nonmajor graduate credit. E E 330. Integrated Electronics. (Cross-listed with Cpr E). (3-3) Cr. 4.Prereq: 201, credit or enrollment in 230, Cpr E 281. 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. Credit for only one of E E 330 or 331 may be counted toward graduation. Nonmajor graduate credit. E E 331. Electronics II. (3-3) Cr. 4.Prereq: 230, Cpr E 288, E E 224 recommended. I-V characteristics of diodes, BJTs, and MOSFETs. Diode and transistor circuits. Small-signal analysis and biasing techniques for amplifier circuits. CMOS digital circuit building blocks. Noise and distortion in electronic systems. Various types of sensors and their use in electronic systems. Active filters. Power Amplifiers. DC motor control circuits. Interfacing electronic circuits with programmable microcontrollers. Laboratory exercises and design projects, including a board-level system layout. Credit for only one of E E 330 or 331 may be counted toward graduation. E E 332. Semiconductor Materials and Devices. (Cross-listed with Mat E). (3-0) Cr. 3. S.Prereq: Phys 222 and, only for Mat E majors, Mat E 334. 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 351. Introduction to Energy Systems: An Engineering Perspective. (Cross-listed with E St). (3-0) Cr. 3.Dalal. Energy-scientific, engineering and economic foundations. Energy utilization-global and national. Sectoral analysis of energy consumption. Relationship of energy consumption and production to economic growth and environment. Technology for energy production. Economic evaluation of energy utilization and production. Scientific basis for global warming. Environmental impact of energy production and utilization. Renewable energy. E E 388. Sustainable Engineering and International Development. (Cross-listed with A E, C E, M E, Mat E). (2-2) Cr. 3. F.Prereq: Junior classification in engineering. Multi-disciplinary approach to sustainable engineering and international development, sustainable development, appropriate design and engineering, feasibility analysis, international aid, business development, philosophy and politics of technology, and ethics in engineering. Engineering-based projects from problem formulation through implementation. Interactions with partner community organizations or international partners such as nongovernment organizations (NGOs). Course readings, final project/design report. E E 394. Program Exploration. (Cross-listed with Cpr E). Cr. R.Prereq: 294 or Cpr E 294. Exploration of academic and career fields for electrical and computer engineers. Examination of professionalism in the context of engineering and technology with competencies based skills. Introduction to professional portfolio development and construction. Satisfactory-fail only. E E 396. Summer Internship. Cr. R. Repeatable. 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. Repeatable. 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. 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 408. Interdisciplinary Problem Solving. (Cross-listed with I E, TSM). (3-0) Cr. 3. F.S.Prereq: Junior or senior classification. Use of the Theory of Constraints as a way of approaching problem solving, win-win negotiation, project planning and effective delegation in the context of engineering/business systems. Team projects aimed at improving design outcomes. Nonmajor graduate credit. E E 409. Interdisciplinary Systems Effectiveness. (Cross-listed with I E, TSM). (3-0) Cr. 3. F.SS.Prereq: Junior or senior classification. Focus on functions that determine the effectiveness of an entire organization. Generic Theory of Constraints solutions to production, distribution, and project management are compared to traditional solutions. Strategy for improvements discovered using simulations. 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 418. High Speed System Engineering Measurement and Testing. (Cross-listed with Cpr E). (3-2) Cr. 4. F.Prereq: 230 and 311. Measurement of high speed systems and mixed signal systems. Measurement accuracy and error. Network analysis and spectrum analysis used in high speed measurement and testing. Test specification process and parametric measurement. Sampling and digital signal processing concepts. Design for testability. Testing equipment. Applications. 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 systems. 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. Sampling and reconstruction. Concepts and mathematical tools in discrete-time signal processing with examples from digital signal processing and communications. Discrete-time correlation and matched-filter receivers. Discrete Fourier transform (DFT). Fast Fourier algorithms. Z transforms. Design of finite impulse response (FIR) and infinite impulse response (IIR) filters. Realizations of discrete-time systems and quantization effects. Multi-rate signal processing. Laboratory experiments illustrating DSP implementations and applications. Nonmajor graduate credit. E E 432. Microelectronics Fabrication Techniques. (Dual-listed with 532). (Cross-listed with Mat E). (2-4) Cr. 4.Prereq: Phys 222, Math 267. E E 332 or Mat E 334 recommended. 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. (Cross-listed with Cpr E). (3-3) Cr. 4. S.Prereq: 324, 330, 332, and either E E 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 439. Nanoelectronics. (3-0) Cr. 3. S.Prereq: E E 332/Mat E 332 or Mat E 331. Concepts of quantum mechanics relevant to nanoelectronic devices, including quantization, tunneling, and transport; overview of some of the leading technologies for nanoelectronics, including carbon nanotubes, quantum dots, and molecular transistors; fabrication methods for building nanoelectronic devices. Nonmajor graduate credit. E E 442. Introduction to Circuits and Instruments. (3-2) Cr. 2. F.S.Prereq: Phys 222, Math 267. Half-semester course. 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. Credit for only 201 or 442 may be counted toward graduation; credit for 442 will not count toward graduation for E E or Cpr E majors. Nonmajor graduate credit. E E 448. Introduction to AC Circuits and Motors. (3-2) Cr. 2. F.S.Prereq: 303 or 441 or 442. Half-semester course. 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. (Cross-listed with Econ). (3-0) Cr. 3.Prereq: 303 or Econ 301. Evolution of electric power industry. Power system operation and planning and related information systems. Linear and integer optimization 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 core professional program, Engl 314. Distance-education students only. Team project design experience. Emphasis on defining, planning, and implementing to achieve project objectives to meet a client's need with due consideration to professional and technical considerations of engineering design and implementation. Oral and written presentations of project achievements. E E 465. Digital VLSI Design. (Cross-listed with Cpr E). (3-3) Cr. 4. S.Prereq: E E 330. Digital design of integrated circuits employing very large scale integration (VLSI) methodologies. Technology considerations in design. 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. (Cross-listed with A E, Aer E, Cpr E, Engr, I E, M E, Mat E). (1-4) Cr. 3. Repeatable. 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 state space, 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 488. Eddy Current Nondestructive Evaluation. (Dual-listed with 588). (Cross-listed with Mat E). (3-0) Cr. 3. Alt. F., offered 2010.Prereq: Math 265 and (Mat E 216 or 272 or E E 311 or Phys 364). Electromagnetic fields of various eddy current probes. Probe field interaction with conductors, cracks and other material defects. Ferromagnetic materials. Layered conductors. Elementary inversion of probe signals to characterize defects. Special techniques including remote-field, transient, potential drop nondestructive evaluation and the use of Hall sensors. Practical assignments using a 'virtual' eddy current instrument will demonstrate key concepts. 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. (Cross-listed with Cpr E). (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; design review presentation. First of two-semester team-oriented, project design and implementation experience. E E 492. Senior Design Project II. (Cross-listed with Cpr E). (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; project poster. E E 494. Portfolio Assessment. (Cross-listed with Cpr E). Cr. R.Prereq: Credit or enrollment in 491. Portfolio update and evaluation. Portfolios as a tool to enhance career opportunities. E E 496. Modern Optics. (Cross-listed with Phys). (3-0) Cr. 3.Prereq: Credit or enrollment in Phys 322 and 365. Review of wave and electromagnetic theory; topics selected from: reflection/refraction, interference, geometrical optics, Fourier analysis, dispersion, coherence, Fraunhofer and Fresnel diffraction, holography, quantum optics, nonlinear optics. Nonmajor graduate credit. E E 498. Cooperative Education. Cr. R. Repeatable. 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 501. Analog and Mixed-Signal VLSI Circuit Design Techniques. (Cross-listed with Cpr E). (3-3) Cr. 4. F.Prereq: 435. Design techniques for analog and mixed-signal VLSI circuits. Amplifiers; operational amplifiers, transconductance amplifiers, finite gain amplifiers and current amplifiers. Linear building blocks; differential amplifiers, current mirrors, references, cascading and buffering. Performance characterization of linear integrated circuits; offset, noise, sensitivity and stability. Layout considerations, simulation, yield and modeling for high-performance linear integrated circuits. E E 505. CMOS and BiCMOS Data Conversion Circuits. (Cross-listed with Cpr E). (3-3) Cr. 4. Alt. S., offered 2010.Prereq: 501. Theory, design and applications of data conversion circuits (A/D and D/A converters) including: architectures, characterization, quantization effects, conversion algorithms, spectral performance, element matching, design for yield, and practical comparators, implementation issues. E E 507. VLSI Communication Circuits. (Cross-listed with Cpr E). (3-0) Cr. 3. Alt. S., offered 2011.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. 1-3. Repeatable. 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: 413. Review of static electric and magnetic fields. Maxwell's equations. 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 518. Microwave Remote Sensing. (Cross-listed with Agron, Mteor). (3-0) Cr. 3. Alt. S., offered 2010.Prereq: Math 265 or equivalent or permission of instructor. Microwave remote sensing of Earth's surface and atmosphere. Overview of relevant electromagnetic theory and antenna theory. Planck emission and the radiative transfer equation. The electrical properties of natural materials at microwave frequencies. Specific examples include remote sensing of atmospheric temperature and water vapor, precipitation, and soil and vegetation water content. E E 520. Selected Topics in Communications and Signal Processing. (3-0) Cr. 3. Repeatable.Space-time processing. Multiuser communications, Wireless 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, Coreq: 523. Digital communication systems overview. Characterization of communication channels. Digital modulation and demodulation design and performance analysis. Channel capacity and error-control coding concepts. Waveform design for band-limited channels. Equalization. Wireless fading channels and performance. 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. Review: sampling and reconstruction of signals; discrete-time signals, systems, and transforms. Multi-rate digital signal processing and introduction to filter banks. Optimal linear filtering and prediction. Introductions to adaptive filtering and spectral estimation. Applications. E E 527. Detection and Estimation Theory. (3-0) Cr. 3. S.Prereq: 422. Statistical estimation theory and performance measures: maximum likelihood estimation, Cramer-Rao bound, Bayesian estimation, optimal demodulation, signal design. Introduction to graphical models. Hidden Markov models and Kalman filter. Classical statistical decision theory, decision criteria, binary and composite hypothesis tests. Error probability and Chernoff bound. Applications. E E 528. Digital Image Processing. (3-0) Cr. 3. S.Prereq: 322, 424. Review of sampling, linear algebra and probability. Classical image processing topics such as image sampling and quantization, image transforms (2D Fourier, KLT, DCT, etc), image enhancement, restoration and filtering. Image analysis topics including edge detection, segmentation, registration and tracking (uses least squares estimation, EM, Kalman filter). Medical image reconstruction from tomographic projections (Radon transform, Fourier slice theorem and reconstruction algorithms using them) and Magnetic Resonance Imaging (MRI). Basic introduction to image and video compression methods. E E 530. Selected Topics in Electronics, Microelectronics and Photonics. (3-0) Cr. 3. Repeatable.Prereq: 332. E E 532. Microelectronics Fabrication Techniques. (Dual-listed with 432). (2-4) Cr. 4.Prereq: Phys 222, Math 267. E E 332 or Mat E 331 recommended. 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. (Cross-listed with Phys). (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. (Cross-listed with Phys). (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 or 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. Classifier comparison. Current applications. E E 553. Steady State Analysis. (3-0) Cr. 3. F.Prereq: 456, 457. Power flow, economic dispatch, unit commitment, electricity markets, 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. (Cross-listed with Aer E, I E). (3-0) Cr. 3.Prereq: Coursework in basic statistics. 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. Not available for degrees in industrial engineering. E E 566. Avionics Systems Engineering. (Cross-listed with Aer E). (3-0) Cr. 3. S.Prereq: E E 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. (Cross-listed with Aer E, Math, M E). (3-0) Cr. 3. F.Prereq: E E 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. (Cross-listed with Aer E, Math, M E). (3-0) Cr. 3. S.Prereq: E E 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. (Cross-listed with Math, Aer E, M E). (3-0) Cr. 3.Prereq: E E 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. (Cross-listed with Aer E, Math, M E). (3-0) Cr. 3. F.Prereq: E E 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. (Cross-listed with Aer E, Math, M E). (3-0) Cr. 3. F.Prereq: E E 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. (Cross-listed with Aer E, Math, M E). (3-0) Cr. 3. S.Prereq: E E 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 588. Eddy Current Nondestructive Evaluation. (Dual-listed with 488). (Cross-listed with M S E). (3-0) Cr. 3. Alt. F., offered 2010.Prereq: Math 265 and (Mat E 216 or 272 or E E 311 or Phys 364). Electromagnetic fields of various eddy current probes. Probe field interaction with conductors, cracks and other material defects. Ferromagnetic materials. Layered conductors. Elementary inversion of probe signals to characterize defects. Special techniques including remote-field, transient, potential drop nondestructive evaluation and the use of Hall sensors. Practical assignments using a 'virtual' eddy current instrument will demonstrate key concepts. E E 590. Special Topics. Cr. 1-6. Repeatable.Formulation and solution of theoretical or practical problems in electrical engineering. E E 591. Seminar in Electronics, Microelectronics, and Photonics. Cr. 1-3. Repeatable. E E 592. Seminar in Electromagnetics, Microwave, and Nondestructive Evaluation. Cr. 1. Repeatable.Prereq: Graduate student status. Satisfactory-fail only. E E 594. Seminar in Electric Power. Cr. 1-3. Repeatable. E E 596. Seminar in Control Systems. Cr. 1-3. Repeatable. E E 597. Seminar in Communications and Signal Processing. Cr. 1. Repeatable.Satisfactory-fail only. E E 599. Creative Component. Cr. arr. Repeatable. Courses for graduate students E E 621. Coding Theory. (3-0) 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.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.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. (Cross-listed with Cpr E). Cr. R. Repeatable.Prereq: Permission of department chair and Engineering Career Services, graduate classification. One semester and one summer maximum per academic year professional work period. Satisfactory-fail only. E E 699. Research. Cr. arr. Repeatable. |