Electrical and Computer Engineering (ECEN)
2000 Level Classes
3000
Level Classes
4000 Level Classes
5000 Level Classes
6000 Level Classes
2011
Experimental Methods I. Lab 3. Prerequisites: PHYS 2114; corequisite:
ENSC 2613. Basic electrical measurements and instrumentation techniques
and devices. Use of voltmeters, ammeters, oscilloscopes, impedance
bridges to study resistive, inductive, and capacitive circuit elements
in steady state and transient operation. Reinforces ENSC 2613 and
introduces design of instrumentation networks. Serves as introduction
for nonmajors.
3020
Supervised Research Project. Prerequisites: consent of instructor
and ECEN department head. Supervised research project for qualified
students. May be repreated no more than three times for a total of three
credit hours.
3021
Experimental Methods II. Lab 3. Prerequisites: 2011, ENSC 2613;
corequisite: ECEN 3713. Second laboratory in electrical measurements and
instrumentation techniques and devices. Frequency response using
gain/phase meter and spectrum analyzer. Identification of unknown
two-port networks, steady state operation of linear networks. Reinforces
ECEN 3713 and continues with the design of networks.
3031
Experimental Methods III. Lab 3. Prerequisites: 3021, 3713;
corequisite: 3313. Third laboratory in electrical measurements and
instrumentation techniques and devices. Use of transistor curve tracers.
Transistor operating points. Behavior of BJT amplifiers. MOSFET circuits
and behavior. Operational amplifiers and feedback circuits. Reinforces
ECEN 3313, continuing the design experience in the context of
electronics.
3113
Energy Conversion. Lab 2. Prerequisites: 3714, 3613. Physical
principles of electromagnetic and electromechanical energy conversion
devices and their application to conventional transformers and rotating
machines. Network and phasor models; steady-state performance.
3213
Microcomputer Principles and Applications. Lab 2. Prerequisite:
junior standing or above. Introductory microcomputers. Digital logic
elements and number systems, memory components and organization.
Microprocessor and microcomputer system architecture, assembly language
programming, software development, interfacing techniques.
3233
Digital Logic Design. Lab 2. Boolean algebra, optimization of logic
networks. Design using SSI, and MSI, LSI components. ROM and PLA
applications. Analysis and design of clock sequential logic networks.
Flip-flops, counters, registers. Asynchronos circuit design and
analysis. Laboratory experience in implementing combinational and
sequential logic devices.
3314
Electronic Devices and Applications. Lab 2. Prerequisites: 2011,
3714. Semiconductor electronic components including MOSFETs, BJTs, JFETs,
and OpAmps. Emphasis on device models and use of solid state electronic
devices to analyze, synthesize and design amplifiers and switching
circuits. SPICE simulations are extensively utilized. Basic building
blocks for analog and digital applications. Theoretical concepts and
methods are demonstrated and reinforced through laboratory exercises.
3513
Signal Analysis. Prerequisites: 3714 and 3723. Deterministic
signals. Fourier series and Fourier transforms. Impulse response,
convolution and correlation. Sampling theorem. Analog modulation
techniques.
3613
Electromagnetic Fields. Prerequisites: ENSC 2613, MATH 2163 and MATH
2233. Time-harmonic and transient response of transmission lines.
Maxwells equations and their applications to engineering problems in
electrostatics, magnetostatics, time-harmonic fields and plane wave
propagation.
3623
Mathematical Foundations of Electromagnetics and Photonics. Lab 2.
Prerequisite: 3613. Mathematical and computational treatment of
fundamental electromagnetic theory, with applications to microwave
engineering, photonics and semiconductor design. Energy and power;
Laplace and Poisson equations; wave equation including reflection,
refraction, and diffraction; and classical electromagnetic radiation at
macroscopic and microscopic levels.
3714
Network Analysis. Lab 2. Prerequisites: 2011, ENSC 2613, MATH 2233.
Laplace transform, transfer functions, magnetically coupled circuits and
two-port networks. Theoretical concepts and methods are demonstrated and
reinforced through laboratory exercises.
3723
Systems I. Prerequisites: ENSC 2123, 2613, MATH 2233. Physical and
mathematical modeling of electrical and mechanical dynamic systems.
Transient response of first- and second-order systems. Laplace transform
techniques for solving differential equations, transfer functions,
frequency response and resonance. Same course as MAE 3723.
3913
Solid State Electronic Devices. Prerequisite: PHYS 3313. Solid state
physics basis of modern electronic devices. Introductory quantum
mechanics. Energy bands in solids. Electronic properties of
semiconductors. Junction diodes. Bipolar transistors. Field effect
transistor.
4010*
Technical Problems and Engineering Design. 1-12 credits, maximum
12. Prerequisite: consent of instructor. Individual independent study
projects selected in consultation with the instructor; analysis or
design problems, literature searches and computer simulations may be
involved.
4013
Senior Design Laboratory I. Lab 2. Prerequisites: 2011, 3314, 3714,
3723 and 3213 or 3233, ENGL 3323. Complete design cycle for several
small design projects, each including establishing objectives,
synthesis, analysis, construction, testing and evaluation. Use of modern
lab equipment and fabrication techniques. Development of communication
skills.
4023
Senior Design Laboratory II. Lab 2. Prerequisite: 4013. Continuation
of ECEN 4013. Student project teams design, build, test and present
results for realistic projects from university and industrial sponsors.
Formulation of specifications, consideration of alternative solutions,
feasibility considerations, detailed system descriptions, economic
factors, safety, reliability, aesthetics, ethics and social impact.
4030
Undergraduate Professional Practice. 1-8 credits, maximum 8.
Prerequisite: approval of ECEN department Head. Experience in
application of electrical engineering principles to typical problems
encountered in industry. Solutions to the problems by student
participation in the role of engineer or engineering intern.
4133*
Power Electronics. Prerequisite: 3113. Power electronic
devices, components, and their characteristics; DC to AC conversion;
fundamentals of inverters and waveshaping devices; application aspects;
control aspects; character- istics and state-of-the-art of advanced
power inverter and power conditioning topologies.
4153*
Power System Analysis and Design. Prerequisite: 3113. Power system
component models from circuit theory. Formulation and design of the load
flow model and the optimum economic generator allocation problem
utilizing computer methods.
4213*
Computer-based System Design. Lab 2. Prerequisites: 3213 and CS
1113. Design of microprocessor-based systems through proper integration
of hardware and software. Serial and parallel communications, sensor
interfacing, computer control of external devices, and color graphics
hardware. Design of PASCAL and assembly language modules for optimum
real-time system performance.
4243*
Computer Architecture. Prerequisites: 3213 and 3233. Functional
organization and hardware design of digital computer systems with
emphasis on microprocessor-based systems. CPU organization, features of
microprocessors including advanced 32-bit CPU's, memory system design
including cache, virtual memory, error detection and correction, I/O
operations including direct memory access and peripheral interface
design.
4273*
Software Engineering. Prerequisites: 3213, or CS 2133, 3443.
Fundamental characteristics of the software life cycle. Tools,
techniques, and management controls for development and maintenance of
large software systems. Software metrics and models. Human factors and
experimental design. Same course as CS 4273.
4283*
Computer Networks. Prerequisites: 3213 or CS 3443; UNIX knowledge.
Computer networks, distributed systems and their systematic design.
Introduction to the use, structure, and architecture of computer
networks. Networking experiments to describe network topology. ISO
reference model. Same course as CS 4283.
4303*
Digital Electronics Circuit Design. Lab 2. Prerequisite: 3233, 3314.
Theory of digital and electronics circuits. Digital logic families TTL,
IIL, ECL, NMOS, CMOS, GaAs. Large signal models for transistors.
Implementation at RAM and ROM. Circuit design for LSI and VLSI.
4313*
Linear Electronics Circuit Design. Prerequisite: 3314. Class A and B
small-signal, push-pull power, complementary symmetry, differential and
operational amplifiers, utilizing field-effect transistors, bipolar
transistors, tunnel diodes and integrated circuits. Emphasis on
amplification in electronic devices, design and analysis of wide-band
amplifier circuitry.
4353*
Communication Electronics. Prerequisite: 3314. Design of tuned
voltage and power amplifiers, oscillators and mixers, modulation and
detection, and parametric amplifiers.
4413*
Automatic Control Systems. Prerequisite: 3723 or MAE 3723.
Properties of feedback control systems, mathematical models of basic
components, state-variable models of feedback systems, time-domain
analysis, stability, transform analysis, frequency domain techniques,
root-locus design of single input single output systems and simple
compensation techniques. Same course as MAE 4053.
4503*
Random Signals and Noise. Prerequisites: 3513, 3714 and 3723.
Analysis of electrical systems using elementary concepts of probability,
random variables and random processes. Frequency and time domain
response of linear systems driven by random inputs. Statistical
properties of electrical noise. Analysis and design of optimum linear
systems.
4523*
Communication Theory. Prerequisite: 3513. Noise in modulation
systems. Digital data transmission. Design of optimal receivers.
Introduction to information theory.
4533*
Data Communications. Prerequisite: 4503. Signal detection in noise.
Tradeoffs between bandwidth signal-to-noise ratio and rate of
information transfer. Transmission multiplexing and error handling.
Elements of computer network design. Data link protocols.
4613*
Microwave Engineering. Prerequisite: 3623. Aspects of propagation,
transmission, and radiation of microwave energy. Plane wave propagation;
lossless and lossy media, reflection, refraction, and polarization.
Transmission line theory; lumped element model, characteristic
impedance, impedance matching, and transient response. Theory of
waveguides and cavity resonators. Microwave network theory and
S-parameters. Introduction to radiating systems.
4703*
Active Filter Design. Prerequisites: 3714 and 3723. Introduction to
passive filters; operational amplifiers as network elements; filter
specifications; design of active filters. Laboratory design projects and
computer simulations.
4763*
Introduction to Digital Signal Processing. Prerequisites: 3513, 3714
and 3723. Introduction to discrete linear systems using difference
equations and z-transforms. Discrete Fourier analysis. Design of digital
filters. Sampling theorem. Applications of digital signal processing.
4773*
Real Time Digital Signal Processing. Prerequisite: 4763 or
equivalent. DSP Processor architectures and programming. A/D, D/A,
polled and interrupt-driven I/O. Realtime implementation of FIR/IIR
filters, the FFT, and other DSP algorithms on special purpose DSP
hardware from Motorola, Texas Instruments and others. Link between DSP
theory and practical implementation.
4823*
Design of Optical Systems.
Lab 2. Prerequisites: PHYS 2114. Introduction to optics through the
design, construction, and characterization of optical systems. Emphasis
on geometrical optics and spectroscopy.
4843*
Design of Lasers and Systems. Lab 2. Prerequisites: 3613.
Introduction of the design of lasers and optical systems based on lasers
including the design, construction, and characterization of lasers.
Gaussian beams and optics, laser gain materials, laser cavities,
advanced topics.
5000*
Thesis or Report. 1-6 credits, maximum 6. Prerequisite: approval of
major professor. A student studying for the master's degree will enroll
in this course for a maximum of six credit hours.
5030*
Professional Practice. 1-8 credits, maximum 8. Experience in
application of electrical engineering principles to typical problems
encountered in industry and government engineering design and
development projects. Solutions to the problems require participation by
the student in the role of junior engineer or engineer-intern. Problem
solutions involve economics and ecological considerations as well as
technology, and must be adequately documented.
5060*
Special Topics. 1-6 credits, maximum 30. Prerequisite: consent of
instructor. Engineering topics not normally included in existing
courses. Repeat credit may be earned with different course subtitles
assigned.
5070*
Directed studies. 1-6 credits, maximum 6. Prerequisite: consent of
instructor. Investigation outside of the classroom of topics not
normally covered in lecture courses.
5113*
Power System Analysis by Computer Methods. Quasi-static control of
power systems and analysis of power systems under abnormal operating
conditions. Transient stability studies. Models formulated and solutions
outlined for implementation on the computer.
5123*
Engineering Systems Reliability Evaluation. Techniques and concepts
needed for evaluating the long-term and short-term reliability of a
system. Topics include static and spinning generation capacity;
transmission, composite, interconnected, and dc system reliability
evaluations; and power system security. Applications to systems other
than power systems included. For students with little or no background
in probability or statistics.
5153*
Direct Energy Conversion. Energy conversion techniques and
applications; thermo-electrics, thermionics, fuel cells, MHD and other
processes involving electrical, mechanical and thermal energies.
State-of-the-art developments in direct energy conversion using selected
papers from journals and other publications. Gives the student a proper
perspective of the possibilities and problems associated with satisfying
future energy requirements.
5193*
Power Economics and Regulation. Prerequisites: vector calculus,
familiarity with complex numbers. Natural monopoly, regulated
mono-polities. Power pricing. Deregulation and the Energy Policy Act of
1992. Bulk power markets, transmission access and wheeling. Economic
dispatch and system operations. Security and reliability. Environmental
externalities and Clean Air Act compliance. Procurement of new capacity
and integrated resource planning. Cogenerators and independent power
producers.
5223*
Digital Systems Testing. Prerequisite: 3233. Testing of
combinational and sequential circuits. Test generation techniques.
Design of reliable and testable circuits and systems. Testing for LSI
and VLSI.
5253*
Digital Computer Design. Prerequisite: 3233. Analysis and design of
digital computers. Arithmetic algorithms and the design of the
arithmetic/logic unit (ALU). Serial and parallel data processing;
control and timing systems; microprogramming; memory organization
alternatives; input/output interfaces. Same course as CS 5253.
5263*
VLSI Digital Systems Design. Prerequisite: 4303; recommended: 5253.
Design of very large-scale digital systems on a single chip. Review of
MOS technology. Design rules imposed by fabrication techniques.
Systematic structures for control and data flow; system timing; highly
concurrent systems. Experimental opportunities available.
5283*
Computer Vision. The development of machine vision and advanced
image understanding techniques for robotics, automated inspection,
biomedicine. Object recognition, motion analysis, object tracking,
segmentation, representation, and 3-D analysis.
5313*
Solid-state Electronics I. An advanced study of electronic networks.
Application of solid-state devices to the medium- and low-frequency
regions. Integrated networks as replacements for discrete-component
networks. Discrete and integrated operational amplifiers. Broad-band and
tuned amplifiers.
5333*
Semiconductor Devices. Prerequisites: 3314 and PHYS 3313 or
equivalent. Semiconductor crystal structure and device fabrication,
carrier distribution and transport, pn junction and diode,
metal-semiconductor heterojunction, MOSFET, BJT, and optoelectronic
devices.
5353*
Advanced Power Electronics. Prerequisite: 4133. Characteristics of
high power semiconductor devices and the application of such devices to
power conditioning, inversion, and wave shaping at high power levels.
5363*
CMOS Analog Integrated Circuit Design. Prerequisite: 4313. Advanced
study of solid state CMOS linear integrated circuits. Topics include: Op
Amps, comparators, multipliers, D/A and A/D converters and Op Amp
building blocks. Op Amp building blocks include, differential pairs,
current mirrors, gain, output stages, and references. VLSI layout and
circuit simulation using SPICE.
5373*
RF Microwave Circuit Design. Prerequisites: 3314 , 4613 and 5333 or
equivalent. Smith chart, single- and multi-port network, filter design,
RF/microwave components and modeling, matching and biasing network,
amplifier, oscillators and mixers.
5413*
Optimal Control. Prerequisite: 5713 or MAE 5713. Optimal control
theory for modern systems design. Specification of optimum performance
indices. Dynamic programming, calculus of variations and Pontryagin's
minimum principle. Iterative numerical techniques for trajectory
optimization.Same course as MAE 5413.
5423*
Control of Hybrid Systems. Prerequisites: 5713 Linear Systems or
consent of instructor. Introduction and definitions. Modeling of hybrid
systems. Analysis of hybrid systems. Stability analysis. Switched
control systems. Hybrid control design. Applications in power systems,
robotics, transportation and multivehicle systems.
5433*
Robotics Kinematics, Dynamics and Control. Prerequisite: 4413 or MAE
4053 or consent of instructor. Kinematic and dynamic analysis of robot
manipulators. Inverse kinematics, motion planning and trajectory
generation. Industrial practice in robot servo control. Dynamics and
control in the presence of constraints. Actuators and sensors. Force
sensors and vision systems. Robotic force control and its applications
in industry. Passivity-based control algorithms. Advanced control
techniques for motion and force control. Same course as MAE 5433.
5463*
Nonlinear System Analysis and Control. Prerequisite: 4413 or MAE
4053. Failure of superposition of effects; phase-plane analysis;
limit-cycles; Lyapunov stability; hyperstability and input-output
stability; controllability and observability of nonlinear systems;
feedback linearization; robust nonlinear control system design. Same
course as MAE 5463.
5473*
Digital Control Systems. Prerequisite: 4413 or MAE 4053.
Input-output and state-space representation of linear discrete-time
systems. Approximate methods in discrete-time representation. Stability
methods. Controllability, observability, state estimation, and parameter
identification. Design and analysis of feedback control system using
frequency-domain and state-space methods. Introduction to optimal
control. Same course as MAE 5473.
5483*
Digital Data Acquisition and Control. Prerequisite: undergraduate
course in programming. Use of microcomputers operating in real-time
applied to engineering systems for data acquisition and control, use of
analog to digital, digital to analog, and digital input/output,
synchronous and asynchronous programming. Competence in the engineering
use of microcomputers through lectures and laboratory applications. Same
course as MAE 5483.
5493*
Software Design for Real-time Distributed Systems. Prerequisite:
5483 or MAE 5483 or consent of the instructor. Fundamental concepts
associated with the design of software for implementation on distributed
computer systems using real-time operating systems. Parallel computing
in a real-time environment and control algorithm design.
State-of-the-art boards including analog-to-digital and
digital-to-analog equipment and newest computer-aided software
engineering tools.
5513*
Stochastic Systems. Prerequisites: 3513 and 4503 or STAT 4033.
Theory and applications involving probability, random variables,
functions of random variables, and stochastic processes, including
Gaussian and Markov processes. Correlation, power spectral density, and
nonstationary random processes. Response of linear systems to stochastic
processes. State-space formulation and covariance analysis. Same course
as MAE 5513.
5523*
Estimation Theory. Prerequisite: 5513 or MAE 5513. Optimal
estimation theory including linear and nonlinear estimation of discrete
and continuous random functions. Wiener and Kalman filter theory
included. Same course as MAE 5523.
5533*
Modern Communication Theory. Prerequisite: 5513. Noise as a random
process, analog and digital signal detection in the presence of noise,
optimum receiver design using signal space concepts and introduction to
information theory. Trade-offs between bandwidth, signal-to-noise ratio
and the rate of information transfer. Example system designs include
earth satellite, deep space and terrestrial communication systems and
computer communication networks.
5543*
Data Transportation and Protection. Data and its representation;
finite field matrices, pseudorandom sequences; information protection;
space division networks; synchronization; and channel and error control.
5553*
Telecommunications Systems. Prerequisite: graduate standing or
consent of instructor. Ways and means that voice, data and video traffic
is moved long distances. Data networks (Ethernet and Token Ring Local
Area Networks; FDDI and SMDS Metropolitan Area Networks; Internet, Frame
Relay, and ATM Wide Area Networks); the telephone system (POTs, network
synchronization and switching, ISDN, SONET, cellular telephone); and
video (NTSC, switching and timing, compressed video standards such as
MPEG and Px64, HDTV).
5563*
Principles of Wireless Networks. Prerequisite: 4283 or CS 4283.
Wireless network operation, planning, mobility management, cellular and
mobile data networks based on CDMA, TDMA, GSM; IEEE 802-11 WLANS, Adhoc
networks, Bluetooth, power management, wireless geolocation and indoor
positioning technique. Same course as CS 5813.
5613*
Electromagnetic Theory. Prerequisite: 3613. First graduate level
treatment of classical electromagnetic theory. Wave equation, potential
theory, boundary conditions. Rectangular, cylindrical and spherical wave
functions. Conducting and dielectric guiding structures. Scattering and
radiation. Introduction to numerical techniques.
5623*
Antenna Theory. Prerequisite: 3613. Fundamental antenna parameters,
including directivity, efficiency, radiation resistance, and pattern.
Analysis of dipole, loop, aperture, broad- band, and traveling wave
antennas. Array theory. Introduction to numerical techniques used in
modern antenna design.
5633*
Radar Theory. Prerequisites: 3613; 4503 or 5513. Theoretical
treatment of radar principles. Overview of radar systems and techniques,
radar equation, integration of signals. Radar cross-section of single
and multiple targets. Waveform design, resolution, ambiguities and
accuracy. Range, speed and angular measurements. Detection of targets in
noise. Statistical description of clutter. Signal processing techniques.
5643*
Antennas and Propagation for Wireless Communications. Prerequisites:
3613, 4503. Aspects of radiowave propagation for fixed and mobile
communication systems. Review of Maxwell's equations and plane wave
propagation, antenna principles. Reflection, refraction, diffraction,
fading and scintillation, attenuation, ducting, diversity. Propagation
in a cellular environment. Satellite communications.
5703*
Optimization Applications. Prerequisite: graduate standing. A survey
of various methods of unconstrained and constrained linear and
non-linear optimization. Applications of these methodologies using
hand-worked examples and available software packages. This applications
oriented course is intended for engineering and science students. Same
course as CHE 5703, IEM 5023 and MAE 5703.
5713*
Linear Systems. Prerequisite: graduate standing or consent of
instructor. Introduction to the fundamental theory of finite-dimensional
linear systems with emphasis on the state-space representation.
Mathematical representations of systems; linear dynamic solutions;
controllability, observability, and stability; linearization and
realization theory; and state feedback and state observer. Same course
as MAE 5713.
5733*
Neural Networks. Prerequisite: graduate standing. Introduction to
mathematical analysis of networks and learning rules, and on the
application of neural networks to certain engineering problems in image
and signal processing and control systems. Same course as CHE 5733 and
MAE 5733.
5753*
Digital Processing of Speech Signals. Prerequisite: 4763 or 5763.
Digital signal processing; speech production; digital modeling of
speech; short time analysis and synthesis; the short time Fourier
transform, linear predictive coding and solution of the normal
equations; vocal tract spectrum calculation; speech coding; homomorphic
processing; applications of speech processing. Introduction to more
advanced topics as time permits.
5763*
Digital Signal Processing. Introduction to discrete linear systems;
frequency-domain design of digital filters; quantization effects in
digital filters; digital filter hardware, discrete Fourier transforms;
high-speed convolution and correlation with application to digital
filtering; introduction to Walsh-Fourier theory.
5773*
Intelligent Systems. Prerequisite: 5733. Introduction to the
state-of-the art intelligent control and system successfully deployed to
industrial and defense applications. Emerging intelligent algorithms
(e.g., NN, FS, GA, EP, DES); intelligent control architecture (e.g.,
bottom-up, top-down, seminotics); reinforcement learning and hybrid
systems; and case studies and design projects. Same course as MAE 5773.
5793*
Digital Image Processing. Prerequisite: 4763 or 5763. Digital image
processing including image acquisition and characterization, transforms,
coding and compression, enhancement, restoration and segmentation. Use
of modern image processing software on Sun and IBM work stations.
5803*
Geometrical Optics. Prerequisite: PHYS 3213 or consent of
instructor. Foundations of geometrical optics, geometrical theory of
optical imaging, geometrical theory aberrations, image forming
instruments. Same course as PHYS 5123.
5823*
Physical Optics. Prerequisite: PHYS 3213 or consent of instructor.
Multiple beam interference, diffractions, imaging, near field optical
probes of matter, surface plasmons, light scattering from random media,
optical coherence tomography- biomedical applications, negative
materials, perfect lenses and super resolution. Same course PHYS 5303.
5833*
Fiber-Optic Communication Systems. Prerequisite: graduate standing
or consent of instructor. Five generations of fiber-optic communication
systems described in detail. Technical advances and increased capability
of each system. Historical framework of how technical capability at the
time forced technical decisions. A systems engineering point of view,
emphasizing optimization of all components of the optical fiber link.
5843*
Microelectronic Fabrication. Lab 1. Prerequisite: 3314.
Contamination control and clean-room, vacuum systems, wafer
manufacturing. Photolithography and alternative lithographic techniques.
Physical and chemical vapor deposition, oxidation, etching, doping,
packaging, formation of semiconductor devices and circuits. A series of
Fabrication lab projects is conducted starting from bare silicon wafers
to fabricate Optoelectronic circuits.
5853*
Ultrafast Optoelectronics. Prerequisite: graduate standing or
consent of instructor. Combining ultrafast laser pulses with electronic
circuitry. Increased device performance. Optoelectronic/electrical
pulses as short as 0.2 psec. High performance areas illustrating the
power of advanced techniques in applications.
6000*
Research. 1-16 credits, maximum 36. Prerequisite: consent of major
professor. Independent research for students continuing graduate study
beyond the level of the M.S. degree.
6001*
Ph.D. Seminar Series. Prerequisite: approval of ECEN department
head. Seminar series for Ph.D. studies and research.
6050*
Preliminary Ph.D. Research and Proposal. 3 credits, maximum 3.
Prerequisite: consent of adviser. Independent research and report of an
advanced electrical engineering problem. Work performed serves as
foundation of the oral Ph.D. preliminary exam.
6060*
Advanced Special Topics. 1-6 credits, maximum 30. Prerequisite:
consent of instructor. Advanced engineering topics not normally
included in existing courses. Repeat credit may be earned with different
course subtitles assigned.
6070*
Advanced Directed Studies. 1-6 credits, maximum 12. Prerequisites:
admission into Ph.D. program and consent of instructor. Investigation
outside of the classroom of topics not normally covered in lecture
courses.
6123*
Special Topics in Power Systems. Prerequisite: 5113. Selected
relevant current topics related to power system operation and planning.
6253*
Advanced Topics in Computer Architecture. Prerequisite: 5253 or CS
5253. Innovations in the architecture and organization of computers,
with an emphasis on parallelism. Topics may include pipelining,
multiprocessors, data flow, and reduction machines. Same course as CS
6253.
6263*
Advanced VLSI Design and Applications. Prerequisites: 5223 and 5263.
System timing. Designing testable integrated circuits. Specialized
parallel processing architectures. Application examples.
6363*
Analog VLSI for Signal Processing. Lab 2. Prerequisite: 4273.
Continuation of 5363. Advanced theory and practice of analog VLSI design
methodology. Very large scale design and implementation of signal
processing solutions, including oversampled A/Ds, neural networks and
filters.
6423*
System Identification. Prerequisite: 5473 or 5713 or MAE 5473 or MAE
5713. Linear and nonlinear system modeling of random systems. Models of
linear time-invariant systems, nonparametric methods and preliminary
model development, parameter estimation methods, convergence and
consistency, asymptotic distributions of parameter estimates. Nonlinear
modeling. Same course as MAE 6423.
6453*
Adaptive Control. Prerequisite: 5473 or 5713 or MAE 5473 or MAE
5713. Analysis and design of control techniques that modify their
performance to adapt to changes in system operation. Review of systems
analysis techniques, including state variable representations,
linearization, discretization, covariance analysis, stability, and
linear quadratic Gaussian design. On-line parameter estimation, model
reference adaptive systems, self-tuning regulators, stable adaptive
systems. Same course as MAE 6453.
6463*
Advances in Nonlinear Control. Prerequisite: 5463 or MAE 5463.
Introduction to vector fields and Lie algebra; controllability and
observability of nonlinear systems; local decompositions; input-output
and state-space representation of nonlinear systems; feedback
linearization; controlled invariance and distribution; control of
Hamiltonian systems. Same course as MAE 6463.
6483*
Robust Multivariable Control Systems. Prerequisite: 5713 or MAE
5713. Introduction to multivariable systems: SISO robustness vs. MIMO
robustness; multivariable system poles and zeros; MIMO transfer
functions; multivariable frequency response analysis; multivariable
Nyquist theorem; performance specifications; stability of feedback
systems; linear fractional transformations (LFT's); parameterization of
all stabilizing controllers; structured singular value; algebraic
ricatti equations; H2 optimal control; H-infinity controller design.
Same course as MAE 6483.
6803*
Photonics I: Advanced Optics. Lab 9. Prerequisite: 3813 or PHYS 3213
or consent of instructor. Advanced optics including spectral and time
characteristics of detectors, characteristics of lasers, time, spectral
and spatial parameters of laser emission, interferometric techniques,
and nonlinear effects such as two-photon absorption and second and third
harmonic generations. Emphasis on ultrashort laser pulses. Same course
as CHEM 6803 and PHYS 6803.
6810*
Photonics II: THz Photonics and THz-TDS. 1 credit, maximum 4. Lab 3.
Prerequisite: 6803. THz photonics and THz time-domain spectroscopy (THz-TDS).
Concepts and techniques of driving electronic circuitry with ultrashort
laser pulses to generate and detect freely propagating pulses of THz
electromagnetic radiation using several operational research systems.
Same course as CHEM 6810 and PHYS 6810.
6820*
Photonics II: Spectroscopy II. 1 credit, maximum 4. Lab 3.
Prerequisite: 6803. Operating principles and applications of laser
spectroscopy of atoms, molecules, solids and complex fluids. Absorption,
emission, photon correlation, coherence, time resolved Fourier
transform. Raman spectroscopy and non-linear optical. Same course as
CHEM 6820 and PHYS 6820.
6830*
Photonics II: Spectroscopy III. 1 credit, maximum 4. Lab 3.
Prerequisite: 6803. Advanced spectroscopic instruments and methods used
for investigation of semi-conductors and solid state material.
Stimulated emission characterized both in wavelength and in time.
Time-resolved fluorescence measurements. Multipho- tonic excitations.
Fast measuring techniques including subnanosecond detectors, picosecond
streak cameras, and ultrafast four-wave mixing and correlation
techniques. Time-dependent photoconductivity measurements. Same course
as CHEM 6830 and PHYS 6830.
6840*
Photonics III: Microscopy I. 1 credit, maximum 4. Lab 3.
Prerequisite: CHEM 3553 or consent of instructor. The structure and
imaging of solid surfaces. Basics of scanning probe microscopy (SPM).
Contact and noncontact atomic force microscopy (AFM). Scanning tunneling
microscopy (STM) in air. Same course as CHEM 6840 and PHYS 6840.
6850*
Photonics III: Microscopy II. 1 credit, maximum 4. Lab 3.
Prerequisite: CHEM 3553 or consent of instructor. Advanced techniques of
scanning probe microscopy (SPM). Magnetic force microscopy, Kelvin force
microscopy, scanning probe microscopy (STM) in vacuum. Characterization
of materials with SPM. Nanolith-ography with SPM. Device manufacturing
and analysis. Same course as CHEM 6850 and PHYS 6850.
6860*
Photonics III: Microscopy III and Image Processing. 1 credit,
maximum 4. Lab 3. Prerequisite: 5793. Digital image processing,
including projects. Image acquisition and display, image enhancement,
geometric operations, linear and nonlinear filtering, image restoration,
edge detection, image analysis, morphology, segmentation, recognition,
and coding/compression. Same course as CHEM 6860 and PHYS 6860.
6870*
Photonics IV: Synthesis and Devices I. 1 credit, maximum 4. Lab 3.
Prerequisites: 6803 and 6841. Preparation of functional nanostructures
and related optical/electronic devices. Physical and chemical methods of
thin film deposition. Engineering of prototypes of light emitting
diodes, sensors, optical limiting coatings, lithographic patterns. Same
course as CHEM 6870 and PHYS 6870.
6880*
Photonics IV: Semiconductor Devices, Testing and Characterization. 1
credit, maximum 4. Lab 3. Prerequisite: 6803, 6840. Test and
characterization of semiconductor and optoelectronic devices. Hall
effect, four point probe, CV and IV measurements, optical pump-probe,
photoluminescence, and electro-optics sampling. Same course as CHEM 6880
and PHYS 6880.
6890*
Photonics IV: Semiconductor Synthesis and Devices III. 1 credit,
maximum 4. Lab 3. Prerequisite: 6803. Processing, fabrication and
characterization of semiconductor optoelectronic devices in class
100/10000 cleanrooms. Cleanroom operation including general procedure
for material processing and device fabrication. Device processing using
a variety of processing such as mask aligner, vacuum evaporators and
rapid thermal annealer. Testing using optical and electrical testing
apparatus such as I-V, C-V, Hall, and optical spectral measurement
systems. Same course as CHEM 6890 and PHYS 6890.
