- EE 550 - Linear Systems
-
Prerequisite: EE 354 or equivalent
State variable description of linear dynamical systems. Solution
of state equations for continues-time and discrete-time systems.
Input-output descriptions:impulse response and transfer function.
Controllability, observability, canonical forms, stability.
Realization
of input-output descriptions. State feedback and State observers.
Polynomial matrix and matrix fraction descriptions of linear, time-invariant
systems. (Fall)
- EE 551 - Mathematical Programming
- Theory of constrained optimization complemented by comprehensive computing
exercises. Linear programming and convexity. Simplex algorithm.
Optimality conditions for nonlinear optimization. Convergence of
algorithms. Interior point methods in linear programming. (Alternate
Spring)
- EE 553 - Advanced Digital Communication
-
Prerequisite: EE 453, EE 563
Review of the signal space approach to communication theory and
the derivation of optimum receiver principles. Intersymbol interferences
and equalization. Modulation and coding for fading and wireless channels.
Introduction to spread spectrum communication and digital cellular systems.
(Spring)
- EE 554 - Computer Communication Networks
- Introduction to queuing systems. Network design for centralized and distributed
networks. Routing and flow control algorithms. Polling and random access
protocols. Packet radio, satellite networks, local area networks.
(Alternate Spring)
- EE 555 - Multivariable Control Systems
-
Prerequisite: EE 455 or equivalent
Linear quadratic gaussian (LQG). The principle topics include
signal/system
spaces, singular value loci, internal stability, robust stability/performance,
bounded real lemma, small gain theorem, Riccati equations, linear fractional
transformations LQR/LQG synthesis, Kalman filter, and model reduction methods.
(Spring)
- EE 556 - Fundamentals of Semiconductor Physics
-
Prerequisite: EE 476 or equivalent
Treatment of the basic principles of solids. Topics include periodic
structures, lattice waves, electron states, static and dynamic properties
of solids, electron-electron interaction transport and optical properties.
(Fall)
- EE 558 - Microwave Theory
-
Prerequisite: EE 568
Field theory of guided waves in linear isotropic media. Mode theory
and circuit theoretic representation. Cavity resonators.
- EE 561 - Multi-Dimensional Signal Processing
- An introduction to the analysis and design of systems which process multidimensional
signals. Emphasis is placed on the study of m-D digital filters and
m-D signals. Specific topics include m-D sampling, m-D transforms,
analysis and design of FIR and IIR m-D filters, stability, quantization
effects, inverse problems, etc. (Alternate Spring)
- EE 563 - Random Variables and Stochastic Processes
-
Prerequisite: MATH 323 and EE 354
This is an introduction to probability, random variables, and distribution
functions, including random sequences and probabilistic convergence.
It also covers basic concepts of stochastic processes such as stationary,
time average and ergodicity, second order statistics, Gaussian process,
Markov process, and linear systems responses to stochastic processes. (Fall)
- EE 566 - Solid State Devices
-
Prerequisite: EE 556 or equivalent
In-depth analysis of electron devices with an emphasis on both homojunction
and heterojunction devices. Operation of p-n junctions is analyzed,
along with BJTs, MOSFETs and heterojunction devices such as HBTs and
MODFETS. (Spring)
- EE 568 - Electromagnetic Theory I
-
Prerequisite: EE 348 or equivalent
The fundamental laws of Ampere, Gauss and Faraday leading to Maxwell's
equations. Solutions of boundary value problems in various coordinates.
- EE 571 - Statistical Signal Processing
-
Prerequisite: EE 563 or equivalent
This course covers essential statistical concepts for signal and
image processing. The topics include estimation methods such as MMSE,
MAP and MLE; optimality theory of estimation that includes concepts of
sufficiency, consistency and efficiency; Fisher's information; confidence
intervals and basic hypothesis testing; classical Fourier-analysis based
spectral analysis methods and modern eigen-decomposition based methods
such as MUSIC and ESPRIT; interference suppression for emergency communication
technologies such as wireless multiuser communications. (Spring)
- EE 576 - Submicron Fabrication Techniques
-
Prerequisite: EE 486 or equivalent
Physics of quantum devices, epitaxial growth techniques, electron
optics and electron microscopy. Also, optical, x-ray, ion-beam and electron-beam
lithography. Finally, resist fundamentals including spinning, exposure,
development and multilayer systems. (Alternate Spring)
- EE 580 - Nonlinear Control Systems
-
Prerequisite: EE 555 or equivalent
Geometric methods in the control of nonlinear systems. Manifolds,
Lie algebras, distribution and co-distributions. Local system decompositions
and their relationship to controllability/observability. Specific
classes of problems:feedback linearization, disturbance decoupling, input-output
decoupling. Lyapunov stability theory, center manifold theory, and
zero dynamics. (Alternate Fall).
- EE 581 - Digital Image Processing
-
Prerequisite: EE 563 or equivalent
An introduction to the manipulation and analysis of digital images,
intended as a foundation for research in such fields as visual effects,
filtering, compression, restoration and reconstruction. (Alternate
Fall)
- EE 598 - Advanced Studies
- Individual or small group study under the direction of a faculty member
in a graduate subject not currently covered by any University course. (Fall
and Spring)
- EE 599 - Thesis Direction
- Research to satisfy the six credit hours required for the research master's
degree. (Fall and Spring)
- EE 600 - Nonresident Thesis Research
-
Required of nonresident master's students who are completing their theses
in absentia and who wish to retain their degree status. (Fall and
Spring)
- EE 650 - Advanced Linear Systems Design
-
Prerequisite: EE 550 or consent of instructor
Applications of modern algebra to problems of complicated linear
system design. Quotients and state variable design; freedom and system-matrix
design; tensors and multilinear design.
- EE 653 - Information Theory
-
Prerequisite: EE 563 or equivalent
A study of Shannon's measure of information to include: mutual information
entropy and channel capacity; the noiseless source coding theorem; the noisy channel coding theorem; rate-distortion theory and data compression; error correcting codes and random coding bounds.
(Alternate Fall)
- EE 654 - Coding Theory
-
Prerequisite:EE 563 or equivalent
Error control coding techniques for digital transmission and storage systems.
Linear block codes, cyclic codes, BCH and Reed-Solomon Codes. Convolutional
codes, Viterbi and sequential decoding. Block and trellis coded modulation. Concatenated coding and turbo codes.
Applications to computer memories and space and satellite transmission.
(Alternate Fall)
- EE 655 - Digital Control Systems
-
Prerequisite: EE 455 and 550 or equivalent
Analysis and design of discrete-time and sampled-data control systems. State space descriptions and transfer function descriptions using z-transform. Control design using classical (root-locus, Bode, Nyquist), state space and polynomial technique
s. (Alternate Spring)
- EE 656 - Advanced Semiconductor Theory
-
Prerequisite: EE 556
Treatment of quantum processes in semiconductors. Topic include
the electronic structure in semiconductors, lattice scattering, impurity
scattering, radiative and nonradiative processes. (Fall)
- EE 666 - Advanced Quantum Devices
-
Treatment of advanced quantum transport formalisms such as density matrix formalisms, Wigner functions, and Green's functions.
Also, detailed analysis of nonstructure devices ("quantum
devices") that operate by the principles of quantum interference or wave-function engineering.
These include VMTs, RTDs, optical modulators and switches utilizing the
quantum-confined Stark effect or Franz-Keldysh effect, Aharonov-Bohm devices,
BlochFETs and quantum-diffraction devices. Other topics include introduction
to "wave guide-electronics" and treatment of quantum fluctuation phenomena
in mesoscopic devices. (Spring)
- EE 671 - Detection and Estimation
-
Prerequisite: EE 563 or equivalent
Hypothesis testing, optimization criteria (Bayes, minimax, Neyman-Pearson,
etc.), likelihood ratios, detection of known signals, matched filters,
Fredholm integral equation, detection of signals with unknown parameters,
sequential probability ratio test, nonparametric detection, estimation
of signal parameters, MLE, optimum receivers.
- EE 675 - Stochastic Control Theory
-
Prerequisite: EE 555, 563 or equivalent
Control in the presence of uncertainties described as random variables
and processes. Topics in stochastic calculus and equations, estimation,
optimization and stability.
- EE 698 - Advanced Topics
-
This number is reserved for specialized and/or experimental graduate courses.
Content, credit and instructor will be announced by department. (Offered
as necessary)
- EE 446 - IC Fabrication Laboratory
-
The course introduces the student to the principles of integrated circuit fabrication. Photolithography, impurity deposition, and redistribution, metal deposition and definition, and other topics. Students will fabricate a 550 gate (2500 transist
or) CMOS LSI circuit.
- EE 453 - Communication Systems I: Fundamentals
-
Prerequisites: MATH 323, EE 354
An introduction to the generation, transmission and detection of
information-bearing signals. Analog and digital modulation techniques including
AM, FM, and PCM. Time and frequency division multiplexing.
- EE 454 - Communication Systems II:Applications
-
Prerequisites: EE 354, MATH 323
Applications of digital communications in modern technology. Modulation and coding techniques for high speed data transmission, satellite and space communication, wireless networks, and mobile cellular systems.
- EE 455 - Control Systems
-
Prerequisites: EE 354 and MATH 325
Design of linear feedback control systems by state-variable methods
and by classical root locus, Nyquist, Bode and Routh-Hurwitz methods.
- EE 456 - Data Networks
-
Network architecture and protocol hierarchies. OSI reference model. Routing and flow control. Network standards.
- EE 458 - Engineering Electromagnetics
-
Prerequisites: Math 325 and EE 348
Engineering aspects of electromagnetic wave generation and transmission
systems. Microwave techniques. Antennas.
- EE 464 - Introduction to Neural Networks
-
This course is an introduction to distributed computing paradigms which
are based on models of biological neural systems. The course will examine
the behavior, use and implementation of neural network models in pattern
recognition, control, and optimization. Specific models to be studied include
the single and multi-layer perceptron, recurrent networks, and self-organizing
networks.
- EE 466 - Topics in Electronic Transport Theory
-
Prerequisites: EE 347 and EE 357
Phenomenology: Drude and Sommerfeld theories of conduction. Transport theory:
Boltzmann equation, relaxation time approximation, hot electrons, velocity
overshoot. Advanced concepts: Theory of scattering processes, impurity
scattering, deformation potential scattering, Monte Carlo method.
- EE 468 - Modern Photonics Laboratory
A hands on overview of the important role of photons alongside electrons in modern electrical engineering. Potonics technologies studied include lasers, optical fibers, integrated optics, optical signal processing, holography, optoelectronic d
evices, and optical modulators. A survey of the properties of light, its interactions with matter, and techniques for generating, guiding, modulating and detecting coherent laser light.
- EE 471 - Digital Signal Processing
-
Prerequisite: EE 354
An introduction to the theory and application of digital information processing: transform domain representation of discrete-time signals and systems, frequency analysis of random signals, analog/digital and digital/analog conversion, finite-precis
ion effects, discrete Fourier transform, spectral analysis, z-transforms, filter design, applications in analysis and synthesis of audio and image data.
EE
471 additional information.
- EE 472 - Analysis of A-C Power Systems
-
Prerequisite: EE 344
Symmetrical and related components. Application to unbalanced circuits
and performance of rotating machinery, including short-circuit calculations
and stability studies.
- EE 476 - Electronic Properties of Materials
-
Prerequisite: EE 347 or equivalent
Introduction to the electrical properties of materials. Quantum
theory. Band theory of solids. Fundamentals of metal and semiconductor
properties as related to solid-state devices.
- EE 477 - Photovoltaics-Fundamentals of Solar Cells
-
Prerequisites: EE 347 or equivalent
A study of the materials and device properties of photovoltaic devices-solar cells. The criteria for both space and terrestrial applications are considered. Comparisons are made between thin film, polycrystalline and crystalline cells.
- EE 486 - Analog Integrated Circuits
-
Prerequisites: EE 342 and EE 347
Design of analog integrated circuits fabrication and process steps.
Design of process parameters for epitaxy, oxidation, diffusion and ion
implantation. Design of integrated circuit transistors with specified parasitic
elements, gain and maximum frequency. Complete a.c. and d.c. analysis of
the various subcircuits of an op-amp. Design of circuits with various types
of current sources and circuits employing current sources.
- EE 496 - Digital Integrated Circuits
-
Prerequisite: EE 357
Device level operation of the digital logic elements used in integrated circuits. Covers the elements of silicon bipolar and MOS logic, GaAs logic, as well as volatile and non-vilatile memory.
Admission
| Course Descriptions | Fall
2002 Course Schedule | Spring
2002 Course Schedule | Graduate
Manual | Pre-Application
Form
