Iowa State University Catalog
Welcome to ISU Catalog Directory Academic Calendar Catalog Home Page
General Information
College Curriculum
Graduate College
Courses and Programs
Faculty

100 | 200 | 300 | 400 | Graduate Courses
Schedule of Classes

Electrical Engineering (E E)

(Administered by the Department of Electrical and Computer Engineering)
Subrahmanyam Venkata, Chair of Department
Distinguished Professors: Lord
University Professors: Jones
Professors: Black, Bowler, Dalal, Geiger, Horton, Jiles, Kamal, Kothari, Lamont, Melsa, Sheble, Snow, Somani, L. Udpa, S. Udpa, Venkata, Vittal, Weber
Professors (Adjunct): Hillesland, Sastry
Professors (Collaborators): Ouyang
Distinguished Professors (Emeritus): Brown, Fouad, Nilsson, Pohm
Professors (Emeritus): Anderson, Basart, Brearley, Brockman, Comstock, Fanslow, Hale, Hsieh, Koerber, Kopplin, Potter, Read, Smay, Swift, Townsend, Triska
Associate Professors: Ajjarapu, Bartlett, Berleant, Chen, Davidson, Davis, Jacobson, Khammash, Kleitsch, Kruempel, Lee, McCalley, Russell, Stephenson, Tuttle, Tyagi
Associate Professors (Collaborators): Christie, Hassoun
Associate Professors (Emeritus): Bond, Carlson, Coady, McMechan, Mericle, Pavlat, Scott
Assistant Professors: Aluru, Balasubramaniam, Chu, Cruz-Neira, Dickerson, Elia, Govindarasu, Lavalle, Patterson, Salapaka
Assistant Professors (Adjunct): Lee, McCalmont, Mina
Assistant Professors (Collaborators): Barton, Chandramouli, Nath
Instructors (Adjunct): Freeman

Undergraduate Study

For 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 Electrical and Computer Engineering (ECPE) Department 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 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 specialization areas at the undergraduate level, including computer networking and security, computer architecture and digital systems, control systems, electromagnetics, microelectronics, VLSI, power systems, and communications and signal processing. An attractive feature of the curriculum is that seniors may choose among course sequences each of which focuses on one of these areas; therefore graduated students have substantial depth in specific areas to complement the breadth obtained in the required curriculum.

The mission of the ECPE Programs at Iowa State University is to enable the graduated student to make significant and substantive contributions to solving engineering problems throughout the student's professional career. The following objectives are identified as critical to the accomplishment of this mission.

A. Objective I. Impart and enhance knowledge in the domain of electrical and computer engineering: The graduated student should understand

1. engineering and basic science fundamentals including mathematics, probability, statistics, physical sciences, and information technology,

2. the design and manufacturing processes,

3. the fundamentals of business, including entrepreneurship, engineering economy, and cost/revenue streams.

B. Objective II. Expand and hone engineering abilities: The graduated student should be able to

1. identify and solve engineering problems,

2. analyze and design electrical, computer, and multidisciplinary systems,

3. design and conduct experiments and analyze resulting data,

4. use modern engineering hardware and software tools such as computer and instrumentation.

C. Objective III. Instill and nurture social awareness, abilities, and understanding: The graduated student should

1. desire to engage in lifelong learning, and should expect and embrace change,

2. be able to function effectively as a member of a multidisciplinary team, to communicate effectively, and to think critically and creatively, both independently and with others,

3. apply standards of professional conduct in view of the value of science and technology in a global/societal context.

As a complement to the instruction 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. Through the Undergraduate Research Program, 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. 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. Prerequisite material exams are given at key points in the curriculum. These exams are to assist student evaluation of progress made during the academic experience as the materials covered in several courses are the foundation of more advanced courses. These outcome assessments are also used to assess and to improve the quality of the curriculum.

Courses for students who are not in the electrical engineering program: 441, 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, 441, and 442.

Graduate Study

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. Students pursuing a doctor of philosophy degree must select one of the following areas of specialization: communications and signal processing, control systems, electric power, electromagnetics, microelectronics.

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 aptitude 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.

In cooperation with the College of Liberal Arts and Science, the College of Engineering offers a graduate minor in Complex Adaptive Systems. It is open only to students who have met the basic program requirements and are not on temporary enrollment. The CAS minor consists of one common core course, at least two CAS specific techniques courses and at least two supporting courses. Both technique and supporting courses must be selected from lists approved by the advisory committee. A student's minor program in CAS must include at least nine credits that are beyond the total used to meet curriculum requirements. An interdisciplinary faculty committee supervises the minor. Interested students may contact the Electrical and Computer Engineering Department to obtain more specific guidelines and 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 bulletin section on Information Assurance.)

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. 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, 391, 396, 397, 398, 463, 466, 490, 491, 492, 494, and 498.

Courses Primarily for Undergraduate Students

E E 166. Professional Programs Orientation
(1-0) Cr. R. F.S. Orientation course for students selected to the professional programs in electrical engineering and computer engineering. Overview of the nature and scope of electrical engineering and computer engineering professions. Portfolio construction. Departmental rules, advising center operations, degree requirements, program of study planning, career options, and student organizations.

E E 183. Introduction to Electrical Engineering and Problem Solving I
(1-2) Cr. 2. F. Prereq: Credit or enrollment in Math 141. First class in Electrical Engineering and engineering teamwork. Project based examples from Electrical Engineering. Systematic thinking process for engineering problem solving. Group skills needed to work effectively in teams. Group problem solving. Individual interactive skills for small and large groups. Team based group skills. Computer based projects. Solving engineering problems and presenting solutions through technical reports and oral presentations. Solutions of engineering problems using MATLAB and basic programming in C.

E E 184. Introduction to Electrical Engineering and Problem Solving II
(1-2) Cr. 2. S. Prereq: 183. Continuation of 183. Project based examples from Electrical Engineering. Systematic thinking process for engineering problem solving. Group skills needed to work effectively in teams. Group problem solving. Individual interactive skills for small and large groups. Team based group skills. Computer based projects. Solving engineering problems and presenting solutions through technical reports and oral presentations. Solutions of engineering problems using MATLAB and basic programming in C.

E E 201. Electric Circuits
(3-2) Cr. 4. F.S. Prereq: Enrollment or credit in Math 267 and Phys 222. Basic circuit elements including power and energy relationships. Network theorems. Loop and nodal methods. DC, sinusoidal steady-state, and transient analysis. Operational amplifiers. AC power. Introduction to state space. PSPICE. Laboratory instrumentation and experimentation.

E E 213. Electromagnetics Applications in Computer Systems
(3-0) Cr. 3. F.S. Prereq: Phys 222, Math 265. Fundamentals of electrostatic and magnetostatic fields. Magnetization and application to magnetic data storage media. Grounding, radio-frequency interference, noise. Electrostatic and magnetic shielding. Transmission line analysis, propagation of pulse-type signals, effects of mismatched terminations, periodic loading of lines.

E E 264. Introduction to Space Systems and Science (Same as Aer E 264.)
(3-0) Cr. 3. Prereq: Phys 221. Space environment. Launch vehicles. Orbital mechanics. Spacecraft systems including communications, power, guidance, commands and data processing. Science from space including astronomy, geology, earth observing, and planetary exploration.

E E 298. Cooperative Education
Cr. R. F.S.SS. Prereq: Permission of department. 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: 201, credit or registration in 333. Structure of competitive electric energy systems. Electricity markets and e-commerce. Computerized control and data acquisition for energy networks. System operation and economic optimization. Mutual inductance, transformers. Synchronous generators. Balanced three-phase circuit analysis. 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 312. Introduction to Electromagnetic Fields
(3-0) Cr. 3. F.S. Prereq: 201, Phys 222. Fundamentals and applications of electric and magnetic fields. Maxwell's equations, wave solutions, interaction of fields and materials, electrostatics and magnetostatics, potentials, capacitance and inductance, energy, force, torque. Introduction to numerical techniques for problems having complex geometry. Nonmajor graduate credit.

E E 313. Electromagnetic Fields and Waves
(3-0) Cr. 3. F.S. Prereq: 312. Magnetic induction. Uniform plane electromagnetic waves; reflection and transmission at planar interfaces; Poynting vector; propagation in lossless and lossy media; dispersion. Transmission lines under transient and sinusoidal steady-state conditions. The Smith chart. Guided waves. Introductory radiation and antenna concepts. Nonmajor graduate credit.

E E 321. Continuous Signals and Systems
(3-0) Cr. 3. F.S. Prereq: 201, credit or registration in Math 307. Classification of signals and systems; basic signal manipulation and system properties; time domain analysis of continuous time LTI systems; Laplace Transform and its use in LTI system analysis; transfer functions and feedback; frequency response and analog filters; Fourier Series representation and properties; continuous time Fourier Transform; spectral analysis and AM modulation; state space analysis. Nonmajor graduate credit.

E E 322. Probabilistic Methods for Electrical Engineers (Same as Stat 322.)
(3-0) Cr. 3. F.S. Prereq: 321. Introduction to probability with applications to electrical engineering. Sets and events, probability, reliability of systems. Discrete and continuous random variables, associated probability modes, extensions to multivariate random vectors. Expectation, moments, correlation, functions of random variables. Random processes, including Poisson, Gaussian, and Markov.

E E 324. Discrete Signals and Systems
(3-0) Cr. 3. F.S. Prereq: 321. Examples of discrete time signals and systems; time domain analysis of discrete time LTI systems; Z-Transform analysis of LTI systems; transfer functions and stability; discrete time system frequency response and digital filters; discrete time Fourier Series; discrete time Fourier Transform and DFT; sampling and sampling theorem; communication systems; amplitude and frequency modulation and demodulation; time and frequency division multiplexing. 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 333 and credit or enrollment in E E 312 or Phys 222. 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 333. Electronic Devices and Circuits
(3-3) Cr. 4. F.S. Prereq: 201, Cpr E 210. Operational amplifier models and applications. DC, large-signal, and small-signal frequency-independent and frequency-dependent models and characteristics for diodes, bipolar-junction transistors, and field-effect transistors. SPICE simulation applied to electronic circuit analysis and design. IC technology for MOS and bipolar circuit design. Characteristics of IC logic families. Laboratory design projects. Nonmajor graduate credit.

E E 391. The Engineering Professional
(1-0) Cr. 1. F.S. Prereq: Junior classification. Preparing for entry to the workplace, communicating effectively, professional organizations. Selected topics of interest to the engineering professional such as: Entrepreneurship, Intellectual Property and Licensing, Product and Professional Liability, Technology and Risk, Total Quality Management, Ethical Principles and Practices, Globalization, the Environment and Sustainable Development. Portfolios.

E E 396. Summer Internship
Cr. R. SS. Prereq: Permission of department. Summer professional work period.

E E 397. Engineering Internship
Cr. R. F.S. Prereq: Permission of department chair. One semester maximum per academic year professional work period.

E E 398. Cooperative Education
Cr. R. F.S.SS. Prereq: 298, permission of department. Second professional work period in the cooperative education program. Students must register for this course before commencing work.

E E 408. Interdisciplinary Problem Solving (Same as I E 408, I Tec 408.)
(3-0) Cr. 3. F.S. Prereq: Junior or senior standing. Use 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 are aimed at improving design outcomes. Nonmajor graduate credit.

E E 409. Interdisciplinary Systems Effectiveness (Same as I E 409, I Tec 409.)
(3-0) Cr. 3. F.S. Prereq: Junior of 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: 333, 312. 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: 313. 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. Prereq: 324, credit or registration in 322. Frequency domain analysis. Spectral filtering. Linear modulation: signals, receivers, transmitters. Angle modulation systems. Sampling theorem and sampling practice. Frequency division multiplex. Calculation of signal-to-noise ratios. System comparisons. Nonmajor graduate credit.

E E 422. Communication Systems II
(3-0) Cr. 3. Prereq: 421 and enrollment in 423. Pulse modulation systems. Noise analysis. Quantization and pulse-code modulation. Time division multiplex. Information theory, coding. Data transmission: spectral shaping, transmission impairments, error rates. Comparison and evaluation of modulation schemes for data transmission. 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 baseband communications. Noise measurement. Design and construction of a communication circuit. Nonmajor graduate credit.

E E 424. Introduction to Digital Signal Processing
(3-3) Cr. 4. Prereq: 324. Discrete time linear systems. Z-transforms. Sampling. Discrete Fourier transform. Linear and circular convolution using the DFT. Fast Fourier algorithms. Design of IIR and FIR filters. Realization of discrete time systems and computational complexity. Quantization effects in digital signal processing. Simulation and real-time laboratory experiments illustrating DSP principles 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 434. Introduction to Integrated Circuit Design (Same as Cpr E 434.)
(3-3) Cr. 4. F. Prereq: 333. Semiconductor processes and fabrication, device models, physical layout, simulation and verification. Design and use of analog and digital building blocks. Nonmajor graduate credit.

E E 435. Analog Integrated Circuit Design
(3-3) Cr. 4. S. Prereq: 434. Switched-capacitor circuits and filters, Nyquist-rate D/A and A/D converters, over-sampling data converters, integrated continuous time filters, phase-locked loop. Nonmajor graduate credit.

E E 438. Optoelectronic Devices and Applications (Dual-listed with 538.)
(3-0) Cr. 3. Prereq: 313 or 332. Transmission and reflection of electromagnetic plane waves. Propagation in dielectric and fiber optic waveguides. Laser operating principles and applications. Laser design. Photodetectors. Solar cells. Optical modulation and switching. Non-communication applications of optoelectronic devices. Nonmajor graduate credit.

E E 441. Introduction to Circuits, Instruments, and Electronics
(3-2) Cr. 4. F.S.SS. Prereq: Phys 222, Math 266 or 267. Circuit analysis using network theorems and Laplace transform techniques. Transient and sinusoidal steady-state circuit behavior. Diode circuits. Transistor amplifiers. Operational amplifiers. Other selected topics. Nonmajor graduate credit.

E E 442. Introduction to Circuits and Instruments
(3-3) 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 ofinduction and single-phase motors. Nonmajor graduate credit.

E E 452. Electrical Machines and Power Electronic Drives
(2-3) Cr. 3. S. Prereq: 303. 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 DC motors, AC motors and adjustable speed drives. Nonmajor graduate credit.

E E 455. Introduction to Energy Distribution Systems
(3-0) Cr. 3. Prereq: 303. 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. Power transmission lines and transformers, network analysis, power system representation, load flow. Power system operation including the new utility environment. Nonmajor graduate credit.

E E 457. Power System Analysis II
(3-0) Cr. 3. S. Prereq: 303. Power system protection, symmetrical components, faults, stability. Nonmajor graduate credit.

E E 463. Design of Electrical Systems
(1-10) Cr. 5. SS. Prereq: 322 and completion of 29 credits in the E E core professional program, Engl 314. Team project design experience. Emphasis on defining and planning to achieve project objectives to meet a client need with due consideration to professional and technical considerations of engineering design. Oral, poster, and written presentations.

E E 465. Digital Integrated Circuit Design (Same as Cpr E 465.)
(3-3) Cr. 4. S. Prereq: 434. Digital design of integrated circuits employing very large scale integration (VLSI) methodologies. High level hardware design languages logic synthesis and silicon compilers, datapath 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, E Sci 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: 321. Design of linear continuous and discrete control systems using root locus and frequency response methods. Analysis using modern system simulation languages. Lead and lag compensation. Rate and state variable feedback. Design projects. 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.

                H. Honors

E E 491. Senior Design Project I (Same as Cpr E 491.)
(1-3) Cr. 2. F.S. Prereq: 322 or Cpr E 308, completion of 29 credits in the E E or Cpr E core professional program, Engl 314. First semester of a team design project experience. Emphasis on defining and planning to achieve project objectives that meet a client's need. Technical writing of project plan and design review; project poster.

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 achieving project objectives as defined in Cpr E 491 or E E 491. Implementation of Project Design. Technical writing of final project report; oral presentation of project achievements.

E E 494. Portfolio Assessment
(1-0) Cr. R. Prereq: 391. Portfolio update and evaluation. Interviewing skills with portfolios.

E E 498. Cooperative Education
Cr. R. F.S.SS. Prereq: 398, permission of department. 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 VLSI Circuit Design (Same as Cpr E 501.)
(3-3) Cr. 4. F. Prereq: 434. 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, cascoding 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 502. Complex Adaptive Systems Seminar (Same as CAS 502, Com S 502.)
(1-0) Cr. 1. Core techniques in artificial life. Complex analysis methods such as evolutionary computation, neural nets, agent-based simulations, and large-scale simulations.

E E 503. Complex Adaptive Systems Concepts and Techniques (Same as CAS 503, Com S 503.)
(3-0) Cr. 3. Complex adaptive systems approach to the study of evolutionary computation, neural computation, cellular computation, computational models of immune systems, complexity theory, computational economics.

E E 505. CMOS and BiCMOS Data Conversion Circuits (Same as Cpr E 505.)
(3-0) Cr. 3. Alt. S., offered 2002. Prereq: 434 or 501 Theory, design and applications of CMOS and BiCMOS data conversion circuits (A/D and D/A converters) including: quantization effects, conversion algorithms, sample and holds, element matching, comparators, voltage references and detailed implementation issues.

E E 507. VLSI Communication Circuits (Same as Cpr E 507.)
(3-0) Cr. 3. Alt. S., offered 2003. Prereq: 434 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 or 434. Filter design concepts. Approximation and synthesis. Transformations. Continuous-time and discrete time filters. Discrete, active and integrated synthesis techniques.

E E 509. Interdisciplinary Systems Thinking (Same as I Tec 509.)
(3-0) Cr. 3. Prereq: Junior or senior standing. Student does extensive individual project using the systematic thought processes of Theory of Constraints to solve and implement the solution to a problem in their current reality. Groups scrutinize and improve each other's work.

E E 510. Topics in Electromagnetics
Cr. 1 to 3 each time elected.

E E 511. Modern Optical Communications
(3-0) Cr. 3. S. Prereq: 313. Propagation in optical media. Optical fibers. Optical sources and detectors. Fiber optic communications systems.

E E 512. Advanced Electromagnetic Field Theory I
(3-0) Cr. 3. F. Prereq: 313. Static electric and magnetic fields. Solutions of static field problems. Maxwell's equations. Circuit concepts and impedance elements. Propagation and reflection of plane waves in isotropic media. Guided electromagnetic waves. Characteristics of common waveguides and transmission lines. Propagation in anisotropic media.

E E 513. Advanced Electromagnetic Field Theory II
(3-0) Cr. 3. S. Prereq: 512. Special theorems and concepts. Plane wave functions. Cylindrical wave functions. Spherical wave functions. Perturbational and variational techniques.

E E 514. Microwave Engineering (Dual-listed with 414.)
(3-3) Cr. 4. F. Prereq: 333, 312. 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 515. Physical Processes in Plasma (Same as Phys 515.)
(3-0) Cr. 3. Prereq: 313 or Phys 365. General properties of plasmas. Charged particle motion in electric and magnetic fields. Plasma kinetic theory. Macroscopic transport equations. Plasma conductivity and diffusion. Magnetohydrodynamic waves. Waves in cold, warm, and hot plasmas. Boltzmann and Fokker-Planck equations.

E E 517. Electromagnetic Radiation, Antennas, and Propagation (Dual-listed with 417.)
(3-3) Cr. 4. S. Prereq: 313. 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 2001. Prereq: 313 or Math 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 elected. Advanced neural networks, multiuser communications, digital image and video communications, wavelet signal processing, speech processing, multirate communications and signal processing.

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. Vector random variables. Covariance matrix properties. Discrete-time random sequences. Classification of random processes. Linear transformations. Cyclostationary processes in communications and two-dimensional random fields. Stochastic differential and difference equations. Optimal filtering, power spectral density, and linear modeling.

E E 524. Digital Signal Processing
(3-0) Cr. 3. F. Prereq: 322, 424. Spectral estimation. Linear prediction: Levinson recursion, lattice structure. Hilbert transform. Homomorphic signal processing. Multirate signal processing. Introduction to adaptive signal processing. Design of IIR and FIR digital filters using error minimization techniques. Time-frequency distributions. Statistical signal processing. Computer algorithms and applications of digital signal processing techniques.

E E 527. Detection and Estimation Theory
(3-0) Cr. 3. Prereq: 422. Detection of signals in noise and estimation of signal parameters. Probability. Random processes. Narrowband signals. Gaussian derived processes. Hypothesis testing. Detection of known signals. Detection of signals with random parameters. Multiple pulse detection of signals. Detection of signals in colored Gaussian noise. Estimation of signal parameters. Fast Fourier transform processing. Computer problems. Applications.

E E 528. Digital Image Processing
(3-0) Cr. 3. S. Prereq: 524. Image fundamentals. Image transforms-Fourier, cosine, Karhunen-Loeve. Stochastic models. Enhancement-histogram equalization, smoothing, sharpening. Restoration-Wiener filter, least-squares filter, maximum entropy. Coding-error free, predictive, transform. Edge detection; image compression. Reconstruction-Radon transform, back projection, deconvolution.

E E 530. Selected Topics in Electronics, Microelectronics and Photonics
(3-0) Cr. 3 each time elected. Prereq: 332.

E E 531. Semiconductor Device Design and Analysis
(3-0) Cr. 3. Prereq: 332. Semiconductor properties and measurement techniques. Silicon bipolar, MOS, and III-V device fabrication principles. Theory and technology of photolithography, diffusion, oxidation, plasma processing, ion implantation, epitaxial growth, chemical vapor deposition, molecular beam epitaxy, sputtering, and metallization. Use of SUPREM for fabrication process flow modeling.

E E 532. Microelectronics Fabrication Techniques (Dual-listed with 432.)
(2-4) Cr. 4. Prereq: 332 or 531. 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.)
(3-0) Cr. 3. Prereq: 312 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.

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: 313 or 332. Transmission and reflection of electromagnetic plane waves. Propagation id dielectric and fiber optic waveguides. Laser operating principles and applications. Laser design. Photodetectors. Solar cells. Optical modulation and switching. Non-communication applications of optoelectronic devices.

E E 539. Electronic Properties of Materials (Same as M S E 539.)
(3-0) Cr. 3. Prereq: 332 or Mat E 331 or Phys 322. Review of quantum mechanics, band theory of solids, LCAO model, metallic conduction, lattice vibrations, seminconductor, semiconductor devices, dielectrics, polarization mechanisms, dielectric relaxations, crystal anisotropy, ferroelectricity, piezoelectricity, conducting oxides, magnetism.

E E 545. Artificial Neural Networks
(3-0) Cr. 3. F. Prereq: 324. Introduction to the fundamentals of artificial neural networks (ANNs). Theory as well as practical implementation of networks. Topics include uses of ANNs for pattern recognition and function approximation, relation of ANNs to biological neurons, activation functions, architectures, supervised and unsupervised learning. Networks investigated typically include single and multilayer perceptrons, backpropagation, conjugate-gradient, and stochastic-based learning algorithms; radial basis networks, genetic algorithms; self-organizing networks; Kohonen's networks, Hopfield and Hamming networks and other associative networks; morphological neural networks.

E E 547. Pattern Recognition
(3-0) Cr. 3. F. Prereq: 524. Mathematical formulation of pattern recognition problems and decision functions, statistical approach, Bayes classifier, pdf estimation, clustering algorithms (supervised and unsupervised), learning algorithms and neural networks, fuzzy recognition systems, feature selection methods, syntactic approach to pattern recognition.

E E 548. NDE Signal Processing
(3-0) Cr. 3. S. Prereq: 524. Introduction to NDE methods-electromagnetic, ultrasonic and radiographic, forward and inverse problems, continuous and discrete time signals, sampling, systems approach to solving forward and inverse problems, deconvolution procedures and Weiner filtering. Tomographic reconstruction algorithms, signal classification algorithms, supervised and unsupervised clustering, deterministic and statistical pattern recognition, feature extraction methods.

E E 553. Steady State Analysis
(4-0) Cr. 4. 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
(4-0) Cr. 4. 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: 321 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, H¥, 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. Modern Control Systems I (Same as Aer E 577, Math 577, M E 577.)
(3-0) Cr. 3. F. Prereq: 321 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. Modern Control Systems II (Same as Aer E 578, Math 578, M E 578.)
(3-0) Cr. 3. S. Prereq: 577. Well-posedness of nonlinear control systems. Approximate analysis methods. Poincaré perturbation method and describing function method. Lyapunov stability theory. Absolute stability of feedback systems. Input-output stability. Large-scale systems.

E E 579. Adaptive Control (Same as Math 579, Aer E 579, M E 579.)
(3-0) Cr. 3. Prereq: 577. Fundamentals of adaptive control: terminology, parameter identification, basic adaptive controller design techniques, analysis of stability, parameter convergence, and robustness. Nonlinear adaptive control. Application examples.

E E 590. Special Topics
Cr. 1 to 6 each time elected. Formulation and solution of theoretical or practical problems in electrical engineering.

                A. Electromagnetic Theory

                B. Control Systems

                C. Communication Systems

                D. Circuit Theory

                E. Computer Engineering

                F. Electric Power

                G. Electrical Materials

                H. Electronic Devices and Circuits

E E 591. Seminar in Electronics, Microelectronics, and Photonics
Cr. 1 to 3 each time elected.

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 elected.

E E 596. Seminar in Control Systems
Cr. 1 to 3 each time elected.

E E 597. Seminar in Communications and Signal Processing
Cr. 1 to 3 each time elected.

E E 599. Creative Component
Cr. var.

Courses for Graduate Students

E E 628. Computer Vision
(3-0) Cr. 3. F. Prereq: 528. Image understanding/computer vision techniques. Image-to-image and high-level image-to-representation transformations are used to provide explicit, meaningful descriptions of objects in images at various levels of abstraction. Image algebra. Segmentation techniques: boundary, region, texture. Geometrical descriptions: Euler numbers, connectivity. Relational descriptors: scene labeling, string grammars, similarity measures. Color image processing.

E E 632. Semiconductor Physics (Same as Phys 632.)
See Physics.

E E 653. Advanced Topics in Electric Power System Engineering
(3-0) Cr. 3 each time elected. 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 elected. Prereq: Permission of instructor. Advanced topics of current interest in the areas of control theory, circuit theory, stochastic processes, digital signal processing, and image processing.

E E 697. Engineering Internship (Same as Cpr E 697.)
Cr. R. Prereq: Permission of department chair, 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.
 

| Welcome to ISU | Catalog Directory | Academic Calendar | Home |
| General Information | College Curriculum | Graduate College |
| Courses and Programs | Faculty |