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Electrical Engineering
(Administered by the Department of Electrical and Computer Engineering)
Subrahmanyam Venkata, Chair of Department
Professors: J. Bowler, Dalal, Geiger, Horton, Jiles, Kamal, Kothari,
Lamont, Melsa, Rover, Sheble, Somani, Venkata, Vittal, Weber, Woods
Professors (Collaborators): Hassoun, Khammash, L. Udpa, S. Udpa
Distinguished Professors (Emeritus): Brown, Fouad, Lord, Nilsson,
Pohm
University Professors (Emeritus): Jones
Professors (Emeritus): Anderson, Brearley, Brockman, Comstock, Fanslow,
Hale, Hsieh, Koerber, Kopplin, Potter, Read, Smay, Stewart, Swift,
Townsend, Triska
Associate Professors: Ajjarapu, Aluru, Bartlett, Berleant, Chang,
Chen, Cruz-Neira, Davidson, Davis, Dickerson, Jacobson, Kleitsch,
Kruempel, Kumar, McCalley, Russell, Tuttle, Tyagi
Associate Professors (Adjunct): N. Bowler
Associate Professors (Emeritus): Bond, Carlson, Coady, McMechan,
Mericle, Pavlat, Scott, Stephenson
Assistant Professors: Chu, Daniels, Dogandzic, Elia, Govindarasu,
Guan, Ma, Patterson, Salapaka, Song, Tirthapura, Wang, Zhang
Assistant Professors (Adjunct): Amin, Bode, Mina
Assistant Professors (Collaborators): Barton, Chandramouli, Lee
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 Department of Electrical and Computer Engineering at Iowa State
University provides undergraduate students with the opportunity
to learn electrical and computer engineering fundamentals, to study
applications of the most recent advances in state-of-the-art technologies,
and to prepare for the practice of 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,
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 electrical engineering program at Iowa State
University is to enable the graduated student to make significant
and substantive contributions to solving electrical 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
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:
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 computers
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 instructional activity, the ECPE Department
provides opportunities for each student to have experience with
broadening activities. Through the Cooperative Education and Internship
Program, students have the opportunity to gain practical industry
experience. See College of Engineering, Cooperative Programs. 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 may be
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.
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.)
The Department of Electrical and Computer Engineering offers a graduate
certificate in electric power systems engineering. Completion of
the certificate requires at least nine credits including 553, 554,
and one course selected from 555, 556, and 653.
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, 396, 397, 398, 463, 466, 490, 491, 492, 494,
and 498.
Courses Primarily for Undergraduate Students
E E 166. Professional Programs
Orientation. (Same as Cpr E 166. ) (1-0) Cr. R. F.S. 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 185. Introduction to Electrial Engineering
and Problem-Solving. (2-2) Cr. 3. F.S. Prereq: Math 140
and credit or enrollment in Math 141 or 142. Introduction to
Electrical Engineering, C and MATLAB programming. Project based
examples from electrical engineering. Group skills needed to work
effectively in teams. Group problem solving. Individual interactive
skills for small and large groups. Electrical/computer based projects.
Solving engineering problems and presenting solutions through technical
reports and oral presentations.
E E 201. Electric Circuits. (3-2)
Cr. 4. F.S. Prereq: Credit or registration in Math 267 and Phys
222. Emphasis on mathematical tools. Circuit elements and analysis
methods including power and energy relationships. Network theorems.
DC, sinusoidal steady-state, and transient analysis. Operational
amplifiers. AC power. PSPICE. Laboratory instrumentation and experimentation.
E E 203. Electronic Devices and Circuits.
(Same as Cpr E 203.) (3-3) Cr. 4. F.S. Prereq: 201, Math 267,
Phys 222 and credit or enrollment in Cpr E 210. With emphasis
on mathematical tools. Operational amplifier models and applications.
DC, large-signal, and small-signal frequencey-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 analysis
and design. Characteristics of IC logic families. Laboratory design
projects.
E E 224. Signals and Systems I. (4-0)
Cr. 4. F.S. Prereq: 201, Math 267, Phys 222. Examples of
continuous- and discrete-time signals and systems; elementary signal
manipulations; the exponential, sinusoidal and singularity signals;
basic system properties, properties of LTI systems; convolution
sums and integrals; continuous- and discrete-time periodic signals,
Fourier Series representation, properties of Fourier Series, filtering
and FS, continuous-time Fourier Transform, properties of FT, Discrete-Time
Fourier Transform, properties for DTFT, FT and DTFT of periodic
signals, duality. Use of Matlab.
E E 264. Introduction to Space Systems and
Science. (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: Math 267, Phys 222. Credit or registration
in 224 and 203. 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 and power calculations. Network calculations
and associated numerical algorithms. Two-port circuits. Voltage
regulation. Resonance and power factor correction. DC and induction
motors. Power electronic circuit applications to power supplies
and motor drives. Electronic loads and power quality. Nonmajor graduate
credit.
E E 311. Electromagnetic Fields and Waves.
(4-0) Cr. 4. F.S. Prereq: 201, Math 267, Phys 222, credit or
registration in Math 265. Fundamentals and applications of electric
and magnetic fields and materials. 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. Smith
chart. Guided waves. Introductory radiation and antenna concepts.
Reduction to electrostatics and magnetostatics, potentials, capacitance
and inductance, energy, force, torque. Nonmajor graduate credit.
E E 322. Probabilistic Methods for Electrical
Engineers. (Same as Stat 322.) (3-0) Cr. 3. F.S. Prereq:
224. Introduction to probability with applications to electrical
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.
E E 324. Signals and Systems II. (3-0)
Cr. 3. F.S. Prereq: 224. Frequency response of LTI systems,
frequency selective filters, first and second order LTI systems,
amplitude modulation and demodulation, sampling and reconstruction,
the sampling theorem and aliasing, impulse-train sampling, pulse
amplitude modulation, the Laplace and z-Transform, their properties,
and their use in analysis of LTI systems. Transfer functions, block
diagrams, linear feedback systems, stability. Use of Matlab. 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
203 and credit or registration in E E 311 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 334. Integrated Circuit Design.
(Same as Cpr E 334.) (3-3) Cr. 4. F.S. Prereq: 203. Overview
of integrated circuit technology. Advanced MOSFET models, bipolar
junction transistors. Small-signal analysis, IC amplifier configurations,
biasing, and frequency response. MOS digital design. Introduction
to CAD tools. Laboratory design projects. Nonmajor graduate credit.
E E 396. Summer Internship. Cr. R.
SS. Prereq: Permission of department. Summer professional
work period. Students must register for this course before commencing
work.
E E 397. Engineering Internship. Cr.
R. F.S. Prereq: Permission of department. One semester maximum
per academic year professional work period. Students must register
for this course before commencing work.
E E 398. Cooperative Education. Cr.
R. F.S.SS. Prereq: 298, permission of department. 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 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
or senior standing. Focus on functions that determine the effectiveness
of an entire organization. Generic Theory of Constraints solutions
to production, distribution, project management are compared to
traditional solutions. Strategy for improvements discovered using
simulations and group projects. Nonmajor graduate credit.
E E 414. Microwave Engineering. (Dual-listed
with 514.) (3-3) Cr. 4. F. Prereq: 334, 311. Principles,
analyses, and instrumentation used in the microwave portion of the
electromagnetic spectrum. Wave theory in relation to circuit parameters.
S parameters, couplers, discontinuities, and microwave device equivalent
circuits. RF amplifier design, microwave sources, optimum noise
figure and maximum power designs. Microwave filters and oscillators.
Nonmajor graduate credit.
E E 417. Electromagnetic Radiation, Antennas,
and Propagation. (Dual-listed with 517.) (3-3) Cr. 4. S.
Prereq: 311. Fundamental antenna concepts. Radiation from
wire-and aperture-type sources. Radio transmission formulas. Wave
and antenna polarization. Antenna arrays. Modern antenna topics.
Practical antenna design. Antenna noise. Radiowave propagation in
the presence of the earth and its atmosphere. Antenna measurements
and computer aided analysis. Nonmajor graduate credit.
E E 421. Communication Systems I.
(3-0) Cr. 3. Prereq: 324, credit or registration in 322.
Frequency domain analysis. Spectral filtering. Linear modulation:
signals, receivers, transmitters. Angle modulation systems. Pulse
code modulation and line codes. 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. Analog and Digital VLSI Design.
(Same as Cpr E 434.) (3-3) Cr. 4. F. Prereq: 334. Semiconductor
processes and fabrication, device models, physical layout, simulation,
synthesis and fabrication. Design and use of analog and digital
building blocks. Behavioral level descriptions of digital circuits
and synthesis using standard cells. Nonmajor graduate credit.
E E 435. Analog VLSI Circuit Design.
(Same as Cpr E 435.) (3-3) Cr. 4. S. Prereq: 434. Basic analog
integrated circuit and system design including design space exploration,
performance enhancement strategies, operational amplifiers, references,
integrated filters, and data converters. Nonmajor graduate credit.
E E 438. Optoelectronic Devices and Applications.
(Dual-listed with 538.) (3-0) Cr. 3. Prereq: 332 and 311.
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 of induction and single-phase motors. Nonmajor
graduate credit.
E E 452. Electrical Machines and Power Electronic
Drives. (2-3) Cr. 3. S. Prereq: 303, credit or registration
in E E 324. Basic concepts of electromagnetic energy conversion.
DC motors and three-phase induction motors. Basic introduction to
power electronics. Adjustable speed drives used for control of DC,
induction, and AC motors. Experiments with DC motors, AC motors
and adjustable speed drives. Nonmajor graduate credit.
E E 455. Introduction to Energy Distribution
Systems. (3-0) Cr. 3. F. Prereq: 303, credit or registration
in E E 324. Overhead and underground distribution system descriptions
and characteristics, load descriptions and characteristics, overhead
line and underground cable models, distribution transformers, power
flow and fault analysis, overcurrent protection, power factor correction,
system planning and automation, and economics in a deregulated environment.
Nonmajor graduate credit.
E E 456. Power System Analysis I.
(3-0) Cr. 3. F. Prereq: 303, credit or registration in E E 324.
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, credit or registration in E E 324.
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 24 credits in
the E E core professional program, Engl 314. Distance-education
students only. 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: 334. 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, I E 466, M E 466, Mat E 466.) (1-4) Cr. 3. F.
S. Prereq: Student must be within two semesters of graduation
and receive permission of instructor. Application of team design
concepts to projects of a multidisciplinary nature. Concurrent treatment
of design, manufacturing, and life cycle considerations. Application
of design tools such as CAD, CAM, and FEM. Design methodologies,
project scheduling, cost estimating, quality control, manufacturing
processes. Development of a prototype and appropriate documentation
in the form of written reports, oral presentations and computer
models and engineering drawings.
E E 475. Automatic Control Systems.
(3-0) Cr. 3. F. Prereq: 324. 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 and Professionalism.
(Same as Cpr E 491.) (2-3) Cr. 3. F.S. Prereq: 322 or Cpr E 308,
completion of 24 credits in the E E core professional program or
29 credits in the Cpr E core professional program, Engl 314.
Preparing for entry to the workplace. Selected professional topics.
Use of technical writing skills in developing project plan and design
report; project poster. First of two-semester team-oriented, project
design and implementation experience.
E E 492. Senior Design Project II.
(Same as Cpr E 492.) (1-3) Cr. 2. F.S. Prereq: 491 or Cpr E 491.
Second semester of a team design project experience. Emphasis on
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. (Same
as Cpr E 494.) (1-0) Cr. R. Prereq: Credit or enrollment in 491.
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 and Mixed-Signal VLSI Circuit
Design Techniques. (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.) (3-3) Cr. 4. Alt. S., offered
2004. Prereq: 434 or 501. Theory, design and applications
of data conversion circuits (A/D and D/A converters) including:
architecturs, characterization, quantization effects, conversion
algorithms, spectral performance, element matching, design for yield,
and practical comparators, implementation issues.
E E 507. VLSI Communication Circuits.
(Same as Cpr E 507.) (3-0) Cr. 3. Alt. S., offered 2005. 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 510. Topics in Electromagnetics.
Cr. 1 to 3 each time elected.
E E 511. Modern Optical Communications. (3-0)
Cr. 3. S. Prereq: 311. Propagation in optical media. Optical
fibers. Optical sources and detectors. Fiber optic communications
systems.
E E 512. Advanced Electromagnetic Field Theory
I. (3-0) Cr. 3. F. Prereq: 311. 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: 334, 311. Principles,
analyses, and instrumentation used in the microwave portion of the
electromagnetic spectrum. Wave theory in relation to circuit parameters.
S parameters, couplers, discontinuities, and microwave device equivalent
circuits. RF amplifier design, microwave sources, optimum noise
figure and maximum power designs. Microwave filters and oscillators.
E E 517. Electromagnetic Radiation, Antennas,
and Propagation. (Dual-listed with 417.) (3-3) Cr. 4. S.
Prereq: 311. Fundamental antenna concepts. Radiation from
wire-and aperture-type sources. Radio transmission formulas. Wave
and antenna polarization. Antenna arrays. Modern antenna topics.
Practical antenna design. Antenna noise. Radiowave propagation in
the presence of the earth and its atmosphere. Antenna measurements
and computer-aided analysis.
E E 519. Magnetism and Magnetic Materials.
(Same as M S E 519.) (3-0) Cr. 3. Alt. F. offered 2003. Prereq:
311 or Mat E 211 or 271 or 272 or Phys 364. Magnetic fields,
flux density and magnetization. Magnetic materials, magnetic measurements.
Magnetic properties of materials. Domains, domain walls, domain
processes, magnetization curves and hysteresis. Types of magnetic
order, magnetic phases and critical phenomena. Magnetic moments
of electrons, theory of electron magnetism. Technological application,
soft magnetic materials for electromagnets, hard magnetic materials,
permanent magnets, magnetic recording technology, magnetic measurements
of properties for materials evaluation.
E E 520. Selected Topics in Communications
and Signal Processing. (3-0) Cr. 3 each time elected. Space-time
processing, multiuser communications, multimedia communications,
wavelet signal digital image and video communications, wavelet signal
processing, speech processing, multirate communications and signal
processing, signal processing applications.
E E 521. Advanced Communications.
(3-0) Cr. 3. F. Prereq: 422, Math 317, Math 365. Topics in
advanced digital communication systems, emphasizing wireless and
multiuser communications. Receiver performance on AWGN channels,
bandlimited channels, channel equalization, fading multipath channels,
spread-spectrum signals, and multiuser detectors.
E E 523. Random Processes for Communications
and Signal Processing. (3-0) Cr. 3. Prereq: 322. 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. Signal modeling. Introduction
to filter banks and Multirate signal processing. Spectral estimation
(classical and high resolution). Optimal and adaptive filtering.
Introduction to adaptive arrays. Design of IIR and FIR digital filters.
Time-frequency distributions. Computer algorithms and applications
of digital signal processing techniques.
E E 527. Detection and Estimation Theory.
(3-0) Cr. 3. Prereq: 422. Classical statistical decision
theory, decision criteria, binary and composite hypothesis tests.
Error probability and Chernoff bound. Statistical estimation theory
and performance measures. Maximum likelihood estimation and sufficiency,
Cramer-Rao bound, Bayesian estimation, optimum demodulation, signal
design. Applications.
E E 528. Digital Image Processing.
(3-0) Cr. 3. S. Prereq: 524. Image fundamentals. Image transforms—Fourier,
cosine, Karhunen-Loeve and nonlinear transforms. 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.
(3-0) Cr. 3. Prereq: 311 and 332. Basic elements of quantum
theory, Fermi statistics, motion of electrons in periodic structures,
crystal structure, energy bands, equilibrium carrier concentration
and doping, excess carriers and recombination, carrier transport
at low and high fields, phonons, optical properties, amorphous semiconductors,
heterostructures, and surface effects.
E E 536. Physics of Semiconductor Devices.
(3-0) Cr. 3. Prereq: 535. P-n junctions, band-bending theory,
tunneling phenomena, Schottky barriers, heterojunctions, bipolar
transistors, field-effect transistors, negative-resistance devices
and optoelectronic devices.
E E 538. Optoelectronic Devices and Applications.
(Dual-listed with 438.) (3-0) Cr. 3. Prereq: 311 or 332.
Transmission and reflection of electromagnetic plane waves. Propagation
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 and practical implementation
of networks. ANNs for pattern recognition, function approximation,
prediction. Activation functions, neural net architectures, supervised
and unsupervised learning. Various neural network methods and architectures.
E E 547. Pattern Recognition. (3-0)
Cr. 3. F. Prereq: 524. Mathematical formulation of pattern
recognition problems and decision functions, statistical approach,
Bayes classifier, probability density function estimation, clustering
algorithms (supervised and unsupervised), learning algorithms and
neural networks, fuzzy recognition systems, feature selection methods,
syntactic approach to pattern recognition.
E E 553. Steady State Analysis. (3-0)
Cr. 3. F. Prereq: 456, 457. Power flow, economic dispatch,
unit commitment, automatic generation control, sparse matrix techniques,
interconnected operation, voltage control.
E E 554. Power System Dynamics. (3-0)
Cr. 3. S. Prereq: 456, 457, 475. Dynamic performance of power
systems with emphasis on stability. Modeling of system components
and control equipment. Analysis of the dynamic behavior of the system
in response to small and large disturbances.
E E 555. Advanced Energy Distribution Systems.
(3-0) Cr. 3. Prereq: 455. Transient models of distribution
components, automated system planning and distribution automation,
surge protection, reliability, power quality, power electronics
and intelligent systems applications.
E E 556. Power Electronic Systems. (3-0)
Cr. 3. Prereq: 452. Converter topologies, AC/DC, DC/DC, DC/AC,
AC/AC. Converter applications to do motor drives, power supplies,
AC motor drives, power system utility applications (var compensators)
and power quality.
E E 565. Systems Engineering and Analysis.
(Same as Aer E 565, I E 565.) (3-0) Cr. 3. F. Prereq: Graduate
classification in engineering. Introduction to organized multidisciplinary
approach to designing and developing systems. Concepts, principles,
and practice of systems engineering as applied to large integrated
systems. Life-cycle costing, scheduling, risk management, functional
analysis, conceptual and detail design, test, evaluation and systems
engineering planning and organization.
E E 566. Avionics Systems Engineering.
(Same as Aer E 566.) (3-0) Cr. 3. S. Prereq: 565. Avionics
functions. Applications of systems engineering principles to avionics.
Top down design of avionics systems. Automated design tools.
E E 570. Systems Engineering Analysis and
Design. (3-0) Cr. 3. Prereq: 475, 577. Selected topics
in abstract algebra, linear algebra, real analysis, functional analysis,
and optimization methods in electrical engineering.
E E 573. Random Signal Analysis and Kalman
Filtering. (Same as Aer E 573, Math 573, M E 573.) (3-0)
Cr. 3. S. Prereq: 324 or Aer E 331 or M E 370 or 411 or Math
341 or 395. Elementary notions of probability. Random processes.
Autocorrelation and spectral functions. Estimation of spectrum from
finite data. Response of linear systems to random inputs. Discrete
and continuous Kalman filter theory and applications. Smoothing
and prediction. Linearization of nonlinear dynamics.
E E 574. Optimal Control. (Same as
Aer E 574, Math 574, M E 574.) (3-0) Cr. 3. S. Prereq: 577.
The optimal control problem. Variational approach. Pontryagin’s
principle, Hamilton-Jacobi equation. Dynamic programming. Time-optimal,
minimum fuel, minimum energy control systems. The regulator problem.
Structures and properties of optimal controls.
E E 575. Introduction to Robust Control.
(Same as Math 575, Aer E 575, M E 575.) (3-0) Cr. 3. Prereq:
577. Introduction to modern robust control. Model and signal
uncertainty in control systems. Uncertainty description. Stability
and performance robustness to uncertainty. Solutions to the H2,
Hoo, and l1 control problems. Tools for robustness analysis and
synthesis.
E E 576. Digital Feedback Control Systems.
(Same as Aer E 576, Math 576, M E 576.) (3-0) Cr. 3. F. Prereq:
475 or Aer E 432 or M E 411 or 414 or Math 415; and Math 267. Sampled
data, discrete data, and the z-transform. Design of digital control
systems using transform methods: root locus, frequency response
and direct design methods. Design using state-space methods. Controllability,
observability, pole placement, state estimators. Digital filters
in control systems. Microcomputer implementation of digital filters.
Finite wordlength effects. Linear quadratic optimal control in digital
control systems. Simulation of digital control systems.
E E 577. Modern Control Systems I.
(Same as Aer E 577, Math 577, M E 577.) (3-0) Cr. 3. F. Prereq:
324 or Aer E 331 or M E 414 or Math 415; and Math 307. State
variable and input-output descriptions of linear continuous-time
and discrete-time systems. Solution of linear dynamical equations.
Controllability and observability of linear dynamical systems. Canonical
descriptions of linear equations. Irreducible realizations of rational
transfer function matrices. Canonical form dynamical equations.
State feedback. State estimators. Decoupling by state feedback.
Design of feedback systems. Stability of linear dynamical systems.
E E 578. 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 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 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.
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