| Electrical Engineering |
EE 804 - Electromagnetic Fields and Waves II
Credits:
4.00
Loop antennas; aperture and cylindrical antennas; self and
mutual impedance; receiving antennas and antenna arrays;
bounded plane waves; rectangular and cylindrical waveguides;
waveguide discontinuities and impedance matching; solid
state microwave sources. Prereq: electromagnetic fields and
waves I.
EE 807 - Computer Engineering
Credits:
4.00
Software engineering principles and practices;
computer-aided design and computer-aided engineering
methodologies; computer architecture comparisons and
trade offs; sampled data systems. Prereq: computer
organization. Lab.
EE 811 - Digital Systems
Credits:
4.00
Digital design principles and procedures, including top-down
design techniques, introduction to VHDL and design
synthesis, prototyping and documentation methods, and
realistic considerations such as grounding. noise reduction,
loading, and timing; digital design and development tools;
computer-aided design using microprocessor development
systems and engineering workstations including hands-on
experience with state-of-the-art design automation systems.
Prereq: computer organization. Lab.
EE 814 - Introduction to Digital Signal Processing
Credits:
4.00
An introduction to digital signal theory and practice,
including coverage of discrete time signals and systems,
frequency domain transforms and practical spectral analysis,
digital filter terminology and design, and sampling and
reconstruction of continuous time signals. Laboratory
component providing an introduction to DSP design tools and
real time algorithm implementation. Prereq: signals and
systems; programming experience; permission. Lab.
EE 815 - Introduction to VLSI
Credits:
3.00 or 4.00
Principles of VLSI (Very Large Scale Integrated) systems at
the physical level. CMOS circuit and logic design, CAD
tools, CMOS systems case studies. Students exercise the
whole development cycle of a VLSI chip: design, layout, and
testing. Design and layout are performed during semester I.
The chips are fabricated off campus, and returned during
semester II, when they are tested by the students. An IA
(continuous grading) grade is given at the end of
semester I. Prereq: EE 807.
EE 817 - Introduction to Digital Image Processing
Credits:
4.00
Digital image representation; elements of digital processing
systems; sampling and quantization, image transformation
including the Fourier, the Walsh, and the Hough transforms;
image enhancement techniques including image smoothing,
sharpening, histogram equalization, and pseudo-color
processing; image restoration fundamentals. Prereq:
electronic networks; random processes in electrical
engineering; introduction to computer programming or
equivalent. Lab.
EE 841 - Nonlinear Systems Modeling
Credits:
4.00
Modeling of hydraulic, pneumatic, and electro-mechanical
systems. Solution methods including linearization and
computer simulation on nonlinear equations. Methods of
generalizing the nonlinear models for design purposes are
developed. (Also offered as ME 841.)
EE 845 - Fundamentals of Acoustics
Credits:
4.00
Acoustic wave equation for air; laws of reflection,
refraction, and absorption; characteristics and measurement
of acoustical sources; human perception of sound, loudness,
intensity; microphones; acoustical materials; problems in
environmental sound control; ultrasonics; architectural
acoustics. Prereq: general physics II; differential
equations. Lab.
EE 857 - Fundamentals of Communication Systems
Credits:
4.00
Discussions of deterministic signals, Fourier spectra,
random signals and noise, baseband communication, analog
and digital modulation schemes, and system to
signal-to-noise ratio. Prereq: probability and discrete
systems. Lab.
EE 858 - Communication Systems
Credits:
4.00
Design of high-frequency communication systems. RF
amplification, modulators for AM and FM systems, receiving
techniques, antennas, free-space propagation, propagation
characteristics of the ionosphere. Prereq: electromagnetic
fields and waves I; EE 857 or equivalent. Lab.
EE 860 - Introduction to Fiber Optics
Credits:
4.00
Basic physical and geometric optics, solution of Maxwell's
equations for slab waveguides and cylindrical waveguides of
both step-index and graded-index profiles, modes of
propagation and cutoff, polarization effects, group and
phase velocity, ray analysis, losses, fabrication, sources,
detectors, couplers, splicing, cabling, applications, system
design. Prereq: physics; differential equations with linear
algebra; electricity and magnetism or electromagnetic fields
and waves. Lab.
EE #861 - Optical Engineering
Credits:
4.00
First-order imaging optics, thin and thick lenses,
aberrations, mirrors, stops, apertures, gratings, prisms,
resolution, interferometry, diffraction, ray tracing, design
of optical instruments, image evaluation, modulation
transfer function, optical system design by computer.
Prereq: physics; differential equations; introduction to
computer programming or equivalent experience. Lab.
EE 872 - Control Systems
Credits:
4.00
Development of advanced control system design concepts
such as Nyquist analysis, lead-lag compensation; state
feedback; parameter sensitivity; controllability;
observability; introduction to nonlinear and modern control.
Includes interactive computer-aided design and real-time
digital control. Prereq: signals and systems. (Also offered
as ME 872.) Lab.
EE 875 - Applications of Integrated Curcuits
Credits:
4.00
Design and construction of linear and nonlinear electronic
circuits using existing integrated circuits. Limitations and
use of operational amplifiers. Laboratory course in
practical applications of nondigital integrated curcuit
devices. Prereq: advanced electronics. Lab.
EE 877 - Collaborative Engineering I
Credits:
2.00
Collaborative engineering involves the study and application
of processes in which team members from diverse disciplines
cooperate to solve an engineering problem. Part I of this
two-part sequence emphasizes problem definition, analysis,
development of alternative concepts, decision-making
processes, synthesis of an optimum solution and
development of a conceptual design. Lectures on these
and other topics are combined with seminars given by
professionals from industry, government, and academia.
Related topics include ISO9000 quality systems,
engineering management, design review process, engineering
economics, team building and communications. Students are
organized into project teams to develop a conceptual design.
Formal design reviews are conducted. A formal proposal
documents the semester's work.
EE 878 - Collaborative Engineering II
Credits:
2.00
Continuation of Collaborative Engineering I, in which the
proposal submitted in the previous course is developed into
a prototype system. Part II emphasizes the development,
assembly, testing and evaluation of the verification and
industry practices. A formal report documents the semester's
work. Prereq: EE 877.
EE #881 - Physical Instrumentation
Credits:
4.00
Analysis and design of instrumentation systems. Sensors,
curcuits, and devices for measurement and control. Elements
of probability and statistics as applied to instrument
design and data analysis. Transmission, display, storage,
and processing of information. The design, implementation,
testing, and evaluation of relevent instrument system is an
integral part of the course. Prereq: electronics design II.
(Also offered as OE 881.) Lab.
EE 884 - Biomedical Instrumentation
Credits:
4.00
Principles of physiological and biological instrumentation
design including transducers, signal conditioning, recording
equipment, and patient safety. Laboratory includes the
design and use of instrumentation for monitoring of
electrocardiogram, electromyogram, electroencephalogram,
pulse, and temperature. Current research topics, such as
biotelemetry, ultrasonic diagnosis, and computer
applications. Prereq: human anatomy and physiology or
equivalent; advanced electronics. Lab.
EE #885 - Underwater Acoustics
Credits:
4.00
Vibrations, propagation, reflection, scattering,
reverberation, attenuation, sonar equations, ray and mode
theory, radiation of sound, transducers, and small- and
large-signal considerations. (Also offered as OE 885.)
EE 896 - Special Topics in Electrical Engineering
Credits:
1.00 to 4.00
New or specialized courses and/or independent study.
EE 899 - Master's Thesis
Credits:
1.00 to 6.00
Credit/Fail.
EE 901 - Electromagnetic Field Theory
Credits:
3.00
Maxwell's equations; plane wave propagation; reflection and
refraction; guided wave propagation; waveguides; simple
resonators; elements of microwave curcuits, linear and
aperture antennas, arrays of dipoles; receiving antennas.
Prereq: electromagnetic fields and waves I or equivalent.
EE #902 - Electromagnetic Wave Theory
Credits:
3.00
Selected advanced topics in electromagnetic wave theory
taken from such areas as antennas, propagation in various
media, diffraction and scattering, microwave generation, and
waveguide propagation. Prereq: EE 901.
EE #915 - Advanced Active Circuits
Credits:
3.00
Investigation of devices and techniques used in advanced
circuit design using discrete solid-state devices and
integrated circuits. Oscillators, phase-lock systems, low
noise techniques, etc.
EE #936 - Biomedical Engineering
Credits:
3.00
Applications of engineering in such areas as surgery,
critical-care units, neurophysiology, rehabilitation,
modeling, and interaction of waves and biological tissues.
Prereq: EE 884 and human anatomy and physiology or
equivalent.
EE 939 - Statistical Theory of Communications
Credits:
3.00
Introduction to probability theory and random waveforms
leading to a discussion of optimum receiver principles.
Topics include random variables, random processes,
correlation, power spectral density, sampling theory, and
optimum decision rules.
EE 940 - Information Theory
Credits:
3.00
Introduction to information theory concepts. Topics include
message sources, entrophy, channel capacity, fundamentals of
encoding, Shannon's theorems. Prereq: EE 939 or permission.
EE 941 - Digital Signal Processing
Credits:
3.00
Digital signal processing theory and practice, including
coverage of discrete-time signals and systems, the
Z-transform, the discrete Fourier transform. Brief coverage
of digital filters and terminology, random number generators
and signal models, the FFT, the pitfalls of using FFT, and
applications of digital signal processing including
convolution, correlation, power spectral estimation. Prereq:
programming experience; communications; basic probability.
EE 944 - Nonlinear Control Systems
Credits:
4.00
Analysis and design of nonlinear control systems from the
classical and modern viewpoints are discussed. Liapunov's
stability theory; phase space methods; linearization
techniques; simulation; frequency response methods;
generalized describing functions; transient analysis
utilizing functional analysis; and decoupling of
multivariable systems. Prereq: EE or ME 951. (Also offered
as ME 944.)
EE 951 - Advanced Control Systems I
Credits:
3.00
State-space representation of multivariable systems;
analysis using state transition matrix. Controllability and
observability; pole placement using state and output
feedback; Luenberger observers. Introduction to
computer-controlled systems (sampling, discrete state
representation, hybrid systems), nonlinear analysis
(Liapunov, Popov, describing function). Prereq: EE or
ME 872 (Also offered as ME 951.)
EE 952 - Advanced Control Systems II
Credits:
3.00
Special topics in control theory: continuous and discrete
systems; optimal control systems, including calculus of
variations, maximum principle, dynamic programming, Wiener
and Kalman filtering techniques, stochastic systems,
adaptive control systems. Prereq: EE or ME 951. (Also
offered as ME 952.)
EE 955 - Estimation and Filtering
Credits:
3.00
Stochastic systems course with application to control and
communications. Topics include random variables, noise in
linear systems, Bayesian and minimum variance estimation
theory, optimal state estimators, Weiner and Kalman filters,
combined estimation and control, prediction, parameter
identification, and nonlinear filtering. Prereq; ME or
EE 951; MATH 835 or equivalent. (Also offered as ME 955.)
EE 960 - Computer Architecture
Credits:
3.00
Advanced topics in computer organization. Parallel and
pipeline processing; associative and stack computers;
microprogramming; virtual memory; current topics. Prereq:
logical design of digital computers.
EE #962 - Fault-Tolerant Computers
Credits:
3.00
Test generation, design for stability, fault simulation,
fault-tolerant systems, system diagonsis. An individual
computer project is required. Prereq: computer organization.
EE 965 - Introduction to Pattern Recognition
Credits:
3.00
Machine classification of data, feature space
representation, multispectral feature extraction, Bayes
decision theory, linear discrimination functions, parameter
estimation, supervised and unsupervised learning,
clustering, scene analysis, associative memory techniques,
and syntatic methods of recognition. Prereq: Fourier
analysis; multi-dimensional calculus; probability and
statistics or equivalents.
EE 970 - Introduction to Optical Signal Processing
Credits:
3.00
Theory and application of optical signal processing;
foundations of scalar diffraction theory, the angular
spectrum of plane waves, Fourier transforming properties of
lenses, spatial filtering and optical information
processing, the Vander-Lugt filter, holography principles
and application, optical computers. Emphasis on coherent
processing. Prereq: EE 941 or EE 857.
EE 980 - Opto-Electronics
Credits:
3.00
Advanced survey of light and its interaction with matter at
the submicron level. Topics cover: light in its various
descriptions including ray optics, wave optics, beam optics,
and photons; optical waveguides and resonators; LEDs and
lasers; photons in semiconductors; photorefractive materials
and liquid crystals; nonlinear optics; acousto-optics; and
photon switching. Prereq: EE 804 or EE 860 or PHYS 804;/ or
permission.
EE 992 - Advanced Topics in Electrical Engineering
Credits:
3.00
Example of a recent topic: analog VLSI design. May be
repeated.
EE 993 - Advanced Topics in Computer Engineering
Credits:
1.00 to 4.00
Example of recent topic: wireless communication networks.
May be repeated.
EE 994 - Advanced Topics in Systems Engineering
Credits:
3.00
Examples of recent topics: neural networks, advanced digital
telecommunications. May be repeated.
EE 995 - Master's Project
Credits:
3.00
Independent theoretical and/or experimental work under
guidance of a faculty adviser. A written report is required,
as is an oral examination on the work and related subjects.
EE 998 - Independent Study
Credits:
1.00 to 3.00
Independent theoretical and/or experimental investigation
of an electrical engineering problem under the guidance of a
faculty member.
EE 999 - Doctoral Research
Credits: