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.