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UC Riverside
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2002-2003 General Catalog
University of California, Riverside
ELECTRICAL ENGINEERING
Subject abbreviation: EE
Faculty | Program
Undergraduate Curricula | Graduate Curricula Undergraduate Courses | Graduate Courses Jie Chen, Ph.D., Chair
Professors
The Department of Electrical Engineering offers B.S., M.S., and Ph.D. degrees in Electrical Engineering. The B.S. degree provides strong training in those fundamental areas of mathematics, science, and electrical engineering that are required to support specialized professional training at the advanced level. Students are also provided with a well-rounded and balanced education through studies in humanities and social sciences. The major provides relevant laboratory experience and integrates the use of computers throughout the undergraduate curriculum. It is designed to provide in-depth professional training in a range of state-of-the-art specialty areas in electrical engineering and allow students the freedom to individually mold their program of professional specialty studies by choosing from a number of technical electives. The department maintains close student–faculty interactions, and maintains a schedule of courses allowing timely completion of degrees. This enables it to provide the high-quality undergraduate education necessary for a student to progress to the M.S. and Ph.D. degree level and/or succeed in an industrial career. The Electrical Engineering program at UCR is accredited by the Engineering Accreditation Commission of the Accreditation Board for Engineering and Technology, 111 Market Place, Suite 1050, Baltimore, MD 21202-4012; (410) 347-7700. For more details see ee.ucr.edu The Intersegmental General Education Transfer Curriculum (IGETC) does not meet transfer requirements for Engineering. All undergraduates in the College of Engineering must see an advisor at least annually. See engr.ucr.edu/studentaffairs/registration.htm for details. Degree Requirements University Requirements See the Undergraduate Studies section for requirements that all students must satisfy. College Requirements See Degree Requirements, The Marlan and Rosemary Bourns College of Engineering, in the Undergraduate Studies Section, for requirements that students must satisfy. The Electrical Engineering major uses the following major requirements to satisfy the college's Natural Sciences and Mathematics breadth requirement.
Major Requirements
1. Lower-division requirements (67 units)
The Bourns College of Engineering offers programs leading to M.S. and Ph.D. degrees
in Electrical Engineering.
Research focus areas currently include communications, computer vision, control,
detection and estimation, distributed systems, electronic materials, error-correcting
codes, image processing, information theory, intelligent sensors, intelligent systems,
machine learning, modeling and simulation, multimedia, nanostructures and nanodevices,
navigation, neural networks, pattern recognition, robotics and automation, signal
processing, solid-state devices and circuits, system identification, and transportation
systems.
All applicants for graduate status must submit official scores for the GRE General
Test. All applicants whose native language is not English and who do not have a
degree from an institution where English is the exclusive language of instruction
are required to complete the Test of English as a Foreign Language (TOEFL) with
a minimum score of 550. To meet the degree requirements of the Electrical Engineering
program, all admitted students whose native language is not English are required
to take ESL classes until they get a "clear pass" on the SPEAK test conducted
at UCR by the Learning Center.
Master's Degree
University requirements for the M.S. and Ph.D. degrees in Electrical Engineering
are given in the Graduate Studies section of this catalog.
Applicants must meet the general admission requirements of the Riverside Division
of the Academic Senate and the UCR Graduate Council as set forth in the UC Riverside
Graduate Student Application. In addition, applicants should have completed a program
equivalent to UCR's B.S. in Electrical Engineering or demonstrate the required knowledge
and proficiency in the following subjects:
Students with background in other scientific fields are encouraged to apply to
the graduate program in Electrical Engineering. Applicants lacking minimum undergraduate
preparation in the above areas may be admitted but are required to take the appropriate
undergraduate courses. Under special circumstances, students who have not completed
all undergraduate requirements may be admitted provided that the deficiencies are
corrected within the first year of graduate study. Courses taken for this purpose
do not count towards an advanced degree.
Master of Science
General University requirements are listed in the Graduate Studies section of
this catalog. Students may obtain an M.S. degree in Electrical Engineering through
either Plan I (Thesis) or Plan II (Comprehensive Examination). The normative time
for a student to complete the M.S. degree under both Plan I or Plan II is six quarters
(two years). Students who are admitted with deficiencies may require up to three
additional quarters.
Plan I (Thesis)
Thirty-six quarter units of graduate or upper-division undergraduate work in
Electrical Engineering and other approved subject areas are required to complete
Plan I. At least 24 of these units must be in graduate-level courses taken at a
campus of the University of California, including at least 12 units of required
graduate courses. The required and approved courses in each area are determined
by the graduate program committee. No more than 12 units may be in graduate research
(courses numbered 297 or 299). Upper-division undergraduate courses numbered 125
and above can be counted towards the degree requirements.
Thesis An M.S. thesis on a research topic must be submitted and approved
by the faculty. The thesis must demonstrate the student's in-depth knowledge of
the chosen research topic. Publishable results are encouraged.
Examination and Defense The thesis defense is a two-hour examination session
open to the public and begins with a brief presentation of the thesis by the candidate,
followed by a question-and-answer session.
Plan II (Comprehensive Examination)
The same requirements as in Plan I apply, except that at least 18 quarter units
of graduate-level courses taken at a University of California campus are required,
and none of these credits can be in courses numbered 297 or 299. A maximum of 6
units can be taken in Directed Studies (290).
Comprehensive Examination In addition to the course work, the students
enrolled in Plan II are required to take the M.S. comprehensive examination. The
examination is conducted jointly with the Ph.D. preliminary examination.
The comprehensive examination emphasizes the fundamental knowledge of the study
area rather than the specifics covered in individual courses. Candidates must solve
at least six problems in at least three different major areas. No more than three
problems may be chosen from the student's major area of specialization (i.e., communications
and signal processing; control, robotics, and manufacturing; intelligent systems;
circuits and devices).
Doctoral Degree
An M.S. or equivalent degree in Electrical Engineering or a related field is
normally required to be admitted to the Ph.D. program. Exceptional applicants may
be admitted directly into the Ph.D. program without an M.S. degree. Students with
backgrounds in other scientific fields are encouraged to apply to the graduate program
in Electrical Engineering. Applicants lacking undergraduate preparation in the above
areas may be admitted but are required to take the appropriate undergraduate courses.
Under special circumstances, students who have not completed all undergraduate requirements
may be admitted, provided that the deficiencies are corrected within
the first year of graduate study. Courses taken for this purpose do not count towards
an advanced degree.
There is no strict course or unit requirement for the Ph.D. degree. The faculty
recommends that the student take a minimum of 36 quarter units of 100- or 200-level
course work (excluding EE 297 or EE 299) while in graduate standing as evidence
of preparation for the doctoral qualifying examination. The courses may include
graduate course work used for the M.S. degree.
Students must complete a minimum of six quarters (two years) in residence in
the University of California with a GPA of 3.00 or better.
Study Plan Students must submit a formal study plan before the end of
the second quarter of academic residency. Initially, the plan lists the student's
entire expected program of course work. After passing the preliminary examination,
an amended version of the study plan must be submitted to and approved by the student's
doctoral committee.
Course Work Students must establish a major subject area. A coherent program
of approximately 24 units of graduate course work in the major area is recommended.
Students may need to take considerably more than the 24 units to prepare for the
Ph.D. research. The balance of the courses should lend support to the major field
of study while adding breadth to the student's overall program. These courses may
consist of Electrical Engineering courses in an area distinctively different from
the major area and/or courses from other campus departments.
Preliminary Examination The purpose of the preliminary examination is
to screen candidates for continuation in the doctoral program. The examination is
administered by the graduate program committee and is combined with the M.S. comprehensive
examination. Candidates must solve at least six problems in at least three different
major areas. No more than three problems may be chosen from the student's major
area of specialization (i.e., communications and signal processing; control, robotics,
and manufacturing; intelligent systems; circuits and devices).
Plan II M.S. candidates who took the combined M.S. comprehensive and Ph.D. preliminary
examination and successfully passed at the Ph.D. level are given credit for having
passed the Ph.D. preliminary examination.
Dissertation Proposal and Qualifying Examination After passing the preliminary
examination, doctoral candidates must prepare and submit a dissertation proposal
to their qualifying examination committee before the qualifying examination. The
format of the proposal is flexible, but the proposal should clearly indicate the
proposed problem under study, demonstrate substantial knowledge of the topic and
related issues, state the progress made towards a solution, and indicate the work
remaining to be done. The new approaches and methods to be used in the research
should also be discussed. An extensive bibliography for the problem under study
should be attached to the proposal.
The oral qualifying examination focuses on the dissertation problem. It includes
considerable depth in the student's area of specialization, as required for a successful
completion of the dissertation. The examination is a three-hour session, which begins
with the student's presentation of the dissertation topic and is followed with questions
and suggestions by the doctoral committee.
Dissertation A doctoral dissertation should be an original and substantial
contribution to knowledge in the student's major field. It must demonstrate the
student's ability to carry out a program of independent advanced research and to
report the results in accordance with standards observed in recognized scientific
journals.
Dissertation Examination and Defense When the doctoral committee determines
that a suitable draft of the dissertation has been presented, a dissertation examination
and defense for the student is scheduled. The defense consists of a public seminar
followed by questions from the committee members and the audience.
Normative Time to Degree 12 quarters (15 quarters for students without
an M.S. in Electrical Engineering)
Preparation for Careers in Teaching
All doctoral students are recommended to be employed as teaching assistants for
at least three quarters during their graduate career. The department is developing
special courses to aid in the learning of effective teaching methods, such as handling
discussion/lab sessions and preparing and grading examinations.
Contact the Graduate Student Affairs Assistant at the Department of Electrical
Engineering, (909) 787-2484, or visit ee.ucr.edu for information on
graduate courses. EE 001A. Engineering Circuit Analysis I. (3) Lecture,
three hours. Prerequisite(s): MATH 046, PHYS 040C (both may be taken concurrently);
concurrent enrollment in EE 01LA. Ohm's law and Kirchoff's laws; nodal and loop
analysis; analysis of linear circuits; network theorems; transients in RLC circuits.
Application of SPICE to circuit analysis.
EE 01LA. Engineering Circuit Analysis I Laboratory.
(1) Laboratory, three hours. Prerequisite(s): EE 001A (may be taken concurrently).
Laboratory experiments closely tied to the lecture material of EE 001A: resistive
circuits, attenuation and amplification, network theorems and superposition, operational
amplifiers, transient response, application of SPICE to circuit analysis.
EE 001B. Engineering Circuit Analysis II. (4) Lecture,
three hours; laboratory, three hours. Prerequisite(s): EE 001A and EE 01LA. Sinusoidal
steady state analysis, polyphase circuits, magnetically coupled networks, frequency
characteristics, Laplace and Fourier transforms, Laplace and Fourier analysis. Application
of SPICE to complicated circuit analysis.
EE 002. Electrical and Electronic Circuits. (4)
Lecture, three hours; laboratory, three hours. Prerequisite(s): PHYS 040C. Intended
for non-Electrical Engineering majors for whom knowing the design of electrical
and electronic circuits is not crucial but is helpful. Involves direct-circuit calculations
with resistors, inductors, and capacitors, followed by steady state sinusoidal analysis.
Discusses logic circuits before electronics, which includes diodes, amplifiers,
and transistors. UPPER-DIVISION
COURSES
EE 100A. Electronic Circuits. (4) Lecture,
three hours; laboratory, three hours. Prerequisite(s): EE 001B. Electronic systems,
linear circuits, operational amplifiers, diodes, nonlinear circuit applications,
junction and metal-oxide-semiconductor field-effect transistors, bipolar junction
transistors, MOS and bipolar digital circuits. Laboratory experiments are performed
in the subject areas and SPICE simulation is used.
EE 100B. Electronic Circuits. (4) Lecture,
three hours; laboratory, three hours. Prerequisite(s): EE 100A. Differential and
multistage amplifiers, output stages and power amplifiers, frequency response, feedback,
analog integrated circuits, filters, tuned amplifiers, and oscillators. Laboratory
experiments are performed in the subject areas and SPICE simulation is used.
EE 102. Analog Integrated Circuits. (4) Lecture,
three hours; laboratory, three hours. Prerequisite(s): EE 100B. Design, analysis,
and application of analog integrated circuits. Topics include introduction to integrated
circuit fabrication, IC active filters and switched-capacitor circuits, current-feedback,
Norton and transconductance operational amplifiers, voltage comparators and regulators,
video amplifiers, and phase-locked loops.
EE 105. Modeling and Simulation of Dynamic Systems.
(4) Lecture, three hours; laboratory, three hours. Prerequisite(s): CS 010,
EE 001A, MATH 046. Introduction to the mathematical modeling of dynamical systems
and their methods of solution. Advanced techniques and concepts for analytical modeling
and study of various electrical, electronic, and electromechanical systems based
upon physical laws. Emphasis on the formulation of problems via differential equations.
Numerical methods for integration and matrix analysis problems. Case studies. Digital
computer simulation.
EE 110A. Signals and Systems. (4) Lecture,
three hours; laboratory, three hours. Prerequisite(s): CS 010; EE 001B (may be taken
concurrently); MATH 046. Basic signals and types of systems, linear time-invariant
(LTI) systems, Fourier analysis, frequency response, and Laplace transforms for
LTI systems. Laboratory experiments with signals, transforms, harmonic generation,
linear digital filtering, and sampling/aliasing.
EE 110B. Signals and Systems. (4) Lecture,
three hours; laboratory, three hours. Prerequisite(s): EE 110A. Fourier analysis
for discrete-time signals and systems, filtering, modulation, sampling and interpolation,
z-transforms. Laboratory experiments with signals, transforms, harmonic generation,
linear digital filtering, and sampling/aliasing.
EE 115. Introduction to Communication Systems.
(4) Lecture, three hours; laboratory, three hours. Prerequisite(s): EE 001B
and EE 110B. Spectral density and correlation, modulation theory, amplitude, frequency,
phase and analog pulse modulation and demodulation techniques, signal-to-noise ratios,
and system performance calculations. Laboratory experiments in techniques of modulation
and demodulation.
EE 116. Engineering Electromagnetics. (4) Lecture,
three hours; discussion, one hour. Prerequisite(s): EE
001B (may be taken concurrently). Transmission lines, fields and field operators,
electrostatic and magnetostatic fields, time-varying fields, electrodynamics, electromagnetic
waves, plane waves, guided waves, and applications to engineering problems.
EE 117. Electromagnetics II. (4) Lecture, three
hours; laboratory, three hours. Prerequisite(s): EE 116. Applications of Maxwell's
equations. Skin effect, boundary-value problems, plane waves in lossy media, transverse
EM waves, hollow metal waveguides, cavity resonators, microstrips, propagation in
dielectrics and optical fibers, optical fibers applications, radiation, and antennas.
Laboratory work involves both software simulations and hardware experiments in basic
electromagnetic technology.
EE 118. Introduction to Electromagnetic Devices.
(4) Lecture, three hours; discussion, one hour. Prerequisite(s): EE 116. An
introduction to electromechanical devices for students interested in mechatronics,
robotics, control, computer peripherals, and energy or power systems areas. Emphasizes
rotational devices commonly used in low-power automation systems. Analyzes permanent
magnet DC machines, two-phase induction, brushless DC, and stepper motors.
EE 120A. Logic Design. (5) Lecture, three hours;
laboratory, six hours. Prerequisite(s): CS 061. Design of digital systems. Topics
include Boolean algebra; combinational and sequential logic design; design and use
of arithmetic-logic units, carry-lookahead adders, multiplexors, decoders, comparators,
multipliers, flip-flops, registers, and simple memories; state-machine design; and
basic register-transfer level design. Laboratories involve use of hardware description
languages, synthesis tools, programmable logic, and significant hardware prototyping.
Cross-listed with CS 120A.
EE 120B. Introduction to Embedded Systems. (5)
Lecture, three hours; laboratory, eight hours. Prerequisite(s): CS 120A/EE 120A.
Introduction to hardware and software design of digital computing systems embedded
in electronic devices (such as digital cameras or portable video games). Topics
include custom and programmable processor design, standard peripherals, memories,
interfacing, and hardware/software tradeoffs. Laboratory involves use of synthesis
tools, programmable logic, and microcontrollers and development of working embedded
systems. Cross-listed with CS 120B.
EE 128. Data Acquisition, Instrumentation, and
Process Control. (4) Lecture, three hours; laboratory, three hours. Prerequisite(s):
CS 120A/EE 120A, EE 100B; or consent of instructor. Analog signal transducers, conditioning
and processing; step motors, DC servo motors, and other actuation devices; analog
to digital and digital to analog converters; data acquisition systems; microcomputer
interfaces to commonly used sensors and actuators; design principles for electronic
instruments, real time process control and instrumentation.
EE 132. Automatic Control. (4) Lecture, three
hours; laboratory, three hours. Prerequisite(s): EE 105 or ME 103 or equivalent;
EE 110A or ENGR 118; or consent of instructor. Covers mathematical modeling of linear
systems for time and frequency domain analysis. Topics include transfer function
and state variable representations for analyzing stability, controllability, and
observability; and closed-loop control design techniques by Bode, Nyquist, and root-locus
methods. Laboratories involve both simulation and hardware exercises.
EE 133. Solid-State Electronics. (4) Lecture,
three hours; discussion, one hour. Prerequisite(s): EE 100A. Presents the fundamentals
of solid-state electronics. Topics include electronic band structure, Fermi and
quasi-Fermi levels; doping; contacts; junctions; field-effect, bipolar, and metal-oxide-semiconductor
(MOS) transistors; and charge-coupled devices. Also reviews device fabrication concepts.
EE 134. Digital Integrated Circuit Layout and Design.
(4) Lecture, three hours; laboratory, three hours. Prerequisite(s): CS 120A/EE
120A, EE 001A, EE 001B, EE 100A, EE 100B, EE 133. Covers integrated circuit design,
layout, and verification of complementary metal oxide semiconductors (CMOSs) with
use of computer-aided design tools. Topics covered are digital models, inverters,
static logic gates, transmission gates, flip-flops, dynamic logic gates, memory
circuits, and digital phase-locked hoops.
EE 135. Analog Integrated Circuit Layout and Design.
(4) Lecture, three hours; laboratory, three hours. Prerequisite(s): EE 001A,
EE 001B, EE 100A, EE 100B, EE 133, EE 134. Covers analog circuit design, layout,
and verification of complementary metal oxide semiconductors (CMOSs) with use of
computer-aided design tools. Topics covered are analog metal oxide semiconductor
field effect transistor (MOSFET) models, current sources, references, amplified
design, nonlinear analog circuits, dynamic analog circuits, analog-to-digital converters
(ADCs), and digital-to-analog converters (DACs).
EE 140. Computer Visualization. (4) Lecture,
three hours; laboratory, three hours. Prerequisite(s): CS 130. Visual perception
and thinking, operations on digital images, shaded pictures, perspective transformation,
picture generation using solid polyhedra, illumination and color models, ray tracing,
special effects and animation. Laboratories on visual realism methods: dithering,
halftoning, 3-D viewing, and rendering.
EE 141. Digital Signal Processing. (4) Lecture,
three hours; laboratory, three hours. Prerequisite(s): EE 110B. Transform analysis
of Linear Time-Invariant (LTI) systems, discrete Fourier Transform (DFT) and its
computation, Fourier analysis of signals using the DFT, filter design techniques,
structures for discrete-time systems. Laboratory experiments on DFT, fast Fourier
transforms (FFT), infinite impulse response (IIR), and finite impulse response (FIR)
filter design, and quantization effects.
EE 143. Multimedia Technologies and Programming.
(4) Lecture, three hours; laboratory, three hours. Prerequisite(s): CS 010 or
knowledge of an object-oriented or fourth-generation (scripting) programming language,
for example, C++, Hypertalk, Supertalk, Lingo, Openscript, ScriptX. Introduces multimedia
technologies and programming techniques, multimedia hardware devices, authoring
languages and environments, temporal and nontemporal media (interactivity in text,
graphics, audio, video, and animation), applications, and trends. A term project
is required. Cross-listed with CS 143.
EE 144. Introduction to Robotics. (4) Lecture,
three hours; laboratory, three hours. Prerequisite(s): EE 132. Basic robot components
from encoders to microprocessors. Kinematic and dynamic analysis of manipulators.
Open-and closed-loop control strategies, task planning, contact and noncontact sensors,
robotic image understanding, and robotic programming languages. Experiments and
projects include robot arm programming, robot vision, and mobile robots.
EE 146. Computer Vision. (4) Lecture, three
hours; laboratory, three hours. Prerequisite(s): senior standing in Computer Science
or Electrical Engineering, or consent of instructor. Imaging formation, early vision
processing, boundary detection, region growing, two-dimensional and three-dimensional
object representation and recognition techniques. Experiments for each topic are
carried out.
EE 150. Digital Communications. (4) Lecture,
three hours; discussion, one hour. Prerequisite(s): EE 115. Topics include modulation,
probability and random variables, correlation and power spectra, information theory,
errors of transmission, equalization and coding methods, shift and phase keying,
and a comparison of digital communication systems.
EE 151. Introduction to Digital Control. (4) Lecture,
three hours; laboratory, three hours. Prerequisite(s): EE 132, EE 141. Review of
continuous-time control systems; review of Z-transform and properties; sampled-data
systems; stability analysis and criteria; frequency domain analysis and design;
transient and steady-state response; state-space techniques; controllability and
observability; pole placement; observer design; Lyapunov stability analysis. Laboratory
experiments complementary to these topics include simulations and hardware design.
EE 152. Image Processing. (4) Lecture, three
hours; laboratory, three hours. Prerequisite(s): EE 110B. Digital image acquisition,
image enhancement and restoration, image compression, computer implementation and
testing of image processing techniques. Students gain hands-on experience of complete
image processing systems, including image acquisition, processing, and display through
laboratory experiments.
EE 175A. Senior Design Project. (4) W Consultation,
one hour; laboratory, nine hours. Prerequisite(s): senior standing in Electrical
Engineering. Under the direction of a faculty member, students (individually or
in small teams with shared responsibilities) propose and design electrical engineering
devices or systems. Requires an oral report giving details of the project and test
plan. Graded In Progress (IP) until EE 175A and EE 175B are completed, at which
time a final letter grade is assigned.
EE 175B. Senior Design Project. (4) S Consultation,
one hour; laboratory, nine hours. Prerequisite(s): senior standing in Electrical
Engineering; EE 175A. Under the direction of a faculty member, students (individually
or in small teams with shared responsibilities) build, test, and redesign electrical
engineering devices or systems. Requires a written report and an oral presentation
of the design aspects.
EE 190. Special Studies. (1-5) Individual study,
three to fifteen hours. Prerequisite(s): consent of instructor and department chair.
Individual study to meet special curricular needs. Course is repeatable to a maximum
of 9 units.
EE 191 (E-Z). Seminar in Electrical Engineering.
(1-4) Seminar, one to four hours. Prerequisite(s): upper division standing or
consent of instructor. Consideration of current topics in electrical engineering.
EE 194. Independent Reading. (1-2) Extra reading,
three to six hours. Prerequisite(s): upper division standing or consent of instructor.
Independent reading in material not covered in course work. Normally taken in senior
year. Course is repeatable to a maximum of 4 units. EE 201. Applied Quantum Mechanics. (4) Lecture,
three hours; outside research, three hours. Prerequisite(s): MATH 046, PHYS 040A;
or consent of instructor. Covers topics in quantum mechanics including Schroedinger
equation, operator formalism, harmonic oscillator, quantum wells, spin, bosons and
fermions, solids, perturbation theory, Wentzel-Kramers-Brillouin approximation,
tunneling, tight-binding model, quantum measurements, quantum cryptography, and
quantum computing.
EE 202. Fundamentals of Semiconductors and Nanostructures.
(4) Lecture, three hours; outside research, three hours. Prerequisite(s): EE
133, EE 201; or consent of instructor. Examines principles of semiconductor materials
and nanostructures. Topics include periodic structures, electron and phonon transport,
defects, optical properties, and radiative recombination. Also covers absorption
and emission of radiation in nanostructures, and nonlinear optics effects. Emphasizes
properties of semiconductor superlattices, quantum wells, wires, and dots.
EE 203. Solid-State Devices. (4) Lecture, three
hours; outside research, three hours. Prerequisite(s): EE 133, EE 202; or consent
of instructor. Covers electronic devices including p-n junctions, field-effect transistors,
heterojunction bipolar transistors, and nanostructure devices. Explores electrical
and optical properties of semiconductor
heterostructures, superlattices, quantum wires and dots, as well as devices based
on these structures.
EE 204. Advanced Electromagnetics. (4) Lecture,
three hours; laboratory, three hours. Prerequisite(s): EE 117 or consent of instructor.
Presents selected topics in electromagnetic theory and antenna design. Topics include
power transmission and attenuation in microstrip transmission lines (TL) and waveguides
(WG); transient analysis and applications of TL and WG; radiation of electromagnetic
waves; antenna design; electromagnetic interference and compatibility; and numerical
methods in electromagnetic theory.
EE 205. Optoelectronics and Photonic Devices. (4)
Lecture, three hours; outside research, three hours. Prerequisite(s): EE 203,
204; or consent of instructor. A study of the physical optical and photonic devices
and their use in an optical communication system. Covers silica fibers, light-emitting
diodes (LEDs), heterojunction lasers, p-i-n photodiodes, and avalanche photodiodes.
EE 206. Nanoscale Characterization Techniques.
(4) Lecture, three hours; laboratory, three hours. Prerequisite(s): EE 201,
EE 202, EE 203; or consent of instructor. An in-depth study of nanoscale materials
and device characterization techniques. Laboratory emphasizes atomic force microscopy
(AFM) and scanning tunneling microscopy (STM). Topics include semiconductor fabrication
fundamentals; metrology requirements; in situ monitoring; interconnects and failure
analysis; principles of AFM, STM, and scanning electron microscopy; X-ray methods;
optical and infrared techniques; and electrical characterization.
EE 207. Noise in Electronic Devices. (4) Lecture,
three hours; outside research, three hours. Prerequisite(s): EE 203 or consent of
instructor. A study of fluctuation processes in solids and noise in electronic devices.
Topics include the theory of random processes and analysis of noise types such as
generation-recombination noise, low-frequency noise, random telegraph noise, thermal
noise, and short noise.
EE 208. Semiconductor Electron, Phonon, and Optical
Properties. (4) Lecture, three hours; discussion, one hour. Prerequisite(s):
EE 202. Topics include semiconductor electronic band structure theory and methods,
phonon dispersion theory and methods, defects in semiconductors, and optical properties
of semiconductors.
EE 209. Semiclassical Electron Transport. (4) Lecture,
three hours; discussion, one hour. Prerequisite(s): EE 201, EE 203, EE 208. Covers
the Boltzmann transport equation applied to semiconductor device modeling. Topics
include the physics of carrier scattering in common semiconductors, theoretical
treatments of low and high field transport, balance equations, and Monte Carlo solutions.
EE 210. Advanced Digital Signal Processing. (4)
Lecture, three hours; discussion, one hour. Prerequisite(s): EE 110B, EE 141.
Provides in-depth coverage of advanced techniques for digital filter and power spectral
estimation. Topics include digital filter design, discrete random signals, finite-wordlength
effects, nonparametric and parametric power spectrum estimation, multirate digital
signal processing, least square methods of digital filter design, and digital filter
applications.
EE 211. Adaptive Signal Processing. (4) Lecture,
three hours; discussion, one hour. Prerequisite(s): EE 210, EE 215, EE 236. Provides
an in-depth understanding of adaptive signal processing techniques. Covers Wold
decomposition, Yule-Walker equations, spectrum estimation, Weiner filters, linear
prediction, Kalman filtering, time-varying system tracking, nonlinear adaptive filtering,
and performance analysis of adaptive algorithms and their variations including stochastic
gradient, least mean square, least squares, and recursive least squares.
EE 212. Quantum Electron Transport. (4) Lecture,
three hours; discussion, one hour. Prerequisite(s): EE 208. Covers the theory and
methods used to model quantum electron transport in ultrascaled traditional semiconductor
devices such as transistors, nanoscaled research semiconductor devices such as quantum
dots, and novel electronic material systems such as carbon nanotubes and molecular
wires.
EE 215. Stochastic Processes. (4) Lecture,
three hours; discussion, one hour. Prerequisite(s): EE 210, EE 235. A study of probability
theory and stochastic processes, with a focus on the most fundamental aspect of
modern communication, control, and signal processing systems driven by random signal
inputs. Topics include random variables and stochastic processes; spectral analysis;
Wiener optimum filter, matched filter, and Karhunen-Loeve expansion; mean square
estimation theory including smoothing, filtering, and linear prediction; Levinson's
algorithm, lattice filters, and Kalman filters; and the Markov process.
EE 224. Digital Communication Theory and Systems.
(4) Lecture, three hours; discussion, one hour. Prerequisite(s): EE 115; either
the MATH 149A and MATH 149B sequence or the STAT 160A and STAT 160B sequence; or
equivalents. Provides an overview of basic communication techniques and an introduction
to optimum signal detection and correction. Topics include sampling and bandwidth;pulse
code modulation; line coding and pulse shaping; delta modulation; stochastic approach
to bandwidth and noise corruption; white Gaussian noise; matched filter; optimum
signal detection; Shannon theorem; and error correction.
EE 225. Error-Correcting Codes. (4) Lecture,
three hours; discussion, one hour. Prerequisite(s): EE 215, EE 224. Provides an
overview of basic error-correcting techniques used in data transmission and storage.
Topics include groups and Galois fields, error-correction capability and code design
of Hamming codes, cyclic codes, Bose-Chaudhuri-Hocquengem (BCH) codes, and Reed-Solomon
codes. Also considers concatenated design and decoding techniques.
EE 226. Wireless Communications. (4) Lecture,
three hours; discussion, one hour. Prerequisite(s): EE 215, EE 224. Presentation
of fundamental cellular concepts and new techniques in wireless communications.
Topics include cellular systems and standards, frequency reuse, system capacity,
channel allocation, cellular radio propagation, fading channel modeling and equalization,
spread spectrum communications and other multiple access techniques, and wireless
networking.
EE 235. Linear System Theory. (4) Lecture,
three hours; discussion, one hour. Prerequisite(s): EE 132, MATH 113. Provides a
review of linear algebra. Topics include the mathematical description of linear
systems; the solution of state-space equations; controllability and observability;
canonical and minimal realization; and state feedback, pole placement, observer
design, and compensator design.
EE 236. State and Parameter Estimation Theory.
(4) Lecture, three hours; discussion, one hour. Prerequisite(s): EE 235 or equivalent.
Covers autoregressive and moving-average models, state estimation and parameter
identification (including least square and maximum likelihood formulations), observability
theory, synthesis of optimum inputs, Kalman-prediction (filtering and smoothing),
steady-state and frequency domain analysis, on-line estimation, colored noise, and
nonlinear filtering algorithms.
EE 237. Nonlinear Systems and Control. (4) Lecture,
three hours; discussion, one hour. Prerequisite(s): EE 235. Explores nonlinear systems
and control. Topics include nonlinear differential equations, second order nonlinear
systems, equilibrium and phase portrait, limit cycle, harmonic analysis and describing
function, Lyapunov stability theory, absolute stability, Popov and circle criterion,
input-output stability, small gain theorem, averaging methods, and feedback linearization.
EE 238. Linear Multivariable Control. (4) Lecture,
three hours; discussion, one hour. Prerequisite(s): EE 235. Investigates multivariable
feedback systems, stability, performance, uncertainty, and robustness. Topics include
analysis and synthesis via matrix factorization; Q-parameterization and all stabilizing
controllers; frequency domain methods; and H(insert infinity) design and structured
singular value analysis.
EE 239. Optimal Control. (4) Lecture, three
hours; discussion, one hour. Prerequisite(s): EE 215, EE 235. Presents the theory
of stochastic optimal control systems and methods for their design and analysis.
Covers principles of optimization, Lagrange's equation, linear-quadratic-Gaussian
control; certainty-equivalence; the minimum principle; the Hamilton-Jacobi-Bellman
equation; and the algebraic Ricatti equation.
EE 240. Pattern Recognition. (4) Lecture, three
hours; outside research, three hours. Prerequisite(s): EE 141 or consent of instructor.
Covers basics of pattern recognition techniques. Topics include hypothesis testing,
parametric classifiers, parameter estimation, nonparametric density estimation,
nonparametric classifiers, feature selection, discriminant analysis, and clustering.
EE 241. Advanced Digital Image Processing. (4)
Lecture, three hours; outside research, three hours.
Prerequisite(s): EE 152 or consent of instructor. Covers advanced topics in digital
image processing. Examines image sampling and quantization, image transforms, stochastic
image models, image filtering and restoration, and image data compression.
EE 242. Intelligent Systems. (4) Lecture, three
hours; outside research, three hours. Prerequisite(s): graduate standing or consent
of instructor. Introduces fundamental concepts of design of intelligent systems.
Topics include biological versus computational systems, knowledge representation,
computational reasoning, computational learning, language and human-machine communication,
expert systems, computational vision, and examples of intelligent machines.
EE 243. Advanced Computer Vision. (4) Lecture,
three hours; outside research, three hours. Prerequisite(s): EE 146 or consent of
instructor. A study of three-dimensional computer vision. Topics include projective
geometry, modeling and calibrating cameras, representing geometric primitives and
their uncertainty, stereo vision, motion analysis and tracking, interpolating and
approximating three-dimensional data, and recognition of two-dimensional and three-dimensional
objects.
EE 244. Computational Learning. (4) Lecture,
three hours; outside research, three hours. Prerequisite(s): graduate standing or
consent of instructor. Explores fundamental computational learning techniques. Topics
include elements of learning systems, inductive learning, analytic learning, case-based
learning, genetic learning, connectionist learning, reinforcement learning and integrated
learning techniques, and comparison of learning paradigms and applications.
EE 245. Advanced Robotics. (4) Lecture, three
hours; discussion, one hour. Prerequisite(s): EE 144, EE 235. Topics include robotics,
mechatronics, and automation systems; design and analysis; mechanics; sensing and
programming; linear and non-linear control; rigid and flexible systems; redundant
robots; perception-driven action; multiarm cooperation; distributed autonomous robotic
systems; programming languages and tools; simulations techniques; and application
to mechatronics, manufacturing, and biomorphic systems.
EE 250. Information Theory. (3) Seminar, three
hours. Prerequisite(s): EE 215, EE 225. Provides an overview of general limitations
imposed on communication systems. Topics include source and channel models, information
as a stochastic concept, coding for discrete sources, stochastic models for discrete
channels, coding theorems for channels with noise, and coding techniques for block
and convolutional codes. Satisfactory (S) or No Credit (NC) grading is not available.
EE 259. Colloquium in Electrical
Engineering. (1) Colloquium, one hour. Prerequisite(s): graduate standing. Lectures
on current research topics in electrical engineering presented by faculty members
and visiting scientists. Graded Satisfactory (S) or No Credit (NC). Course is repeatable.
EE 260. Seminar in Electrical Engineering. (4)
Seminar, four hours. Prerequisite(s): consent of instructor. Seminar on current
research topics in electrical engineering, including areas such as signal processing,
image processing, control, robotics, intelligent systems, computer vision, and pattern
recognition. Course is repeatable to maximum of 16 units.
EE 290. Directed Studies. (1-6) Individual
study, three to eighteen hours. Prerequisite(s): graduate standing; consent of instructor
and Graduate Advisor. Individual study, directed by a faculty member, of selected
topics in electrical engineering. Graded Satisfactory (S) or No Credit (NC). Course
is repeatable to a maximum of 12 units.
EE 297. Directed Research. (1-6) Outside research,
three to eighteen hours. Prerequisite(s): graduate standing; consent of instructor.
Research conducted under the supervision of a faculty member on selected problems
in electrical engineering. Graded Satisfactory (S) or No Credit (NC). Course is
repeatable.
EE 299. Research for the Thesis or Dissertation.
(1-12) Outside research, three to thirty-six hours. Prerequisite(s):
graduate standing; consent of instructor. Research in electrical engineering for
the M.S. thesis or Ph.D. dissertation. Graded Satisfactory (S) or No Credit (NC).
Course is repeatable.
2004-2005 Cultural Events
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