Fall
2007 Courses
Registration
for fall classes begins April 1 and will continue through September 7, 2007 . New students
to the program can begin their registration for fall beginning in late
July. Registration forms are available online. This
page contains links to course descriptions, course outlines (syllabi) and
faculty homepages.
Class
recording begins on August 27, 2007.
|
Course
Number |
Course
Name |
Instructor |
Delivery
Format
|
| COMPUTER
SCIENCE |
|
CS
555 |
Introduction
to Visual Information Processing
|
Prof.
LiJun Yin |
CD
and Internet |
| ELECTRICAL
AND COMPUTER ENGINEERING |
|
EECE
521 |
Digital
Signal Processing |
Prof. Mark
Fowler |
CD
and Internet |
|
EECE
530/474 |
Electro-Optics |
Prof. Vladimir
Nikulin |
CD
and Internet |
|
EECE
545 |
Digital
Communication Systems |
Prof. Edward
Li |
CD
and Internet |
|
EECE 552 |
Computer
Design |
Prof. Aneesh Aggarwal |
CD
and Internet |
|
EECE
574 |
VLSI
Circuit Design Architectures
|
Prof. Qinru
Qiu |
CD
and Internet |
EECE 680F |
Machine
Pattern Recognition
|
Prof. Stephen
Zahorian |
CD
and Internet |
|
MECHANICAL ENGINEERING |
|
ME 506 |
Vehicle
Control and Simulation |
Prof. Frank
Cardullo |
CD
and Internet |
| SYSTEMS
SCIENCE AND INDUSTRIAL ENGINEERING |
|
SSIE
501 |
Introduction to Systems Science |
Prof. George
Klir |
CD
and Internet |
|
SSIE
505 |
Introduction
to Applied Probability and Statistics |
Staff |
CD
and Internet |
|
SSIE
510 |
The
Science of Manufacturing |
Prof. Krishnaswami Srihari |
CD
and Internet |
|
SSIE 533 |
Human Factors Engineering and Design |
Prof. Mohammad
Knasawneh |
CD
and Internet |
|
SSIE 541 |
Justifying New Technology |
Prof.
Nagen Nagarur |
CD
and Internet |
|
SSIE
644 |
Foundations of Adaptive Optimization |
Prof.
Sarah Lam |
CD
and Internet |
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|
CS 555 -
Introduction To Visual Information Processing,
Prof.
LiJun Yin
- 3 cr.
The
course focuses on fundamental topics, including visual
information acquisition, representation, description,
enhancement, restoration, transformations and compressions,
and reconstruction from projections. The second focus is on
Computer Science applications, including algorithms
developed in applications such as statistical and syntactic
pattern recognition, robotic vision, multimedia indexing,
visual data mining, and bio-informatics. Prerequisite: CS
333.
Course
Syllabus
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|
| ELECTRICAL
AND COMPUTER ENGINEERING |
|
EECE
521 -
Digital Signal Processing,
Prof. Mark Fowler -
3
cr.
Advanced
topics in digital signal processing Bandpass signals and
bandpass sampling, DFT-based processing, multi-rate
processing and filterbanks, andom signals and spectrum
estimation.
Prerequisites: EECE 402 - Signal Processing or
equivalent and MATH 327 or ISE 261 - or equivalent.
Course
Syllabus
- Fall 2007 Syllabus
posted
Course OUTLINE
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|
EECE 530/474 -
Electro-Optics, Prof. Vladimir Nikulin - 3 cr.
Electro-optic devices and systems. Blackbody, LED and
laser sources, photodetectors, modulators, fiber optics,
Fourier optics. Design of electro-optic systems.
Lecture portion meets with EECE 474.
Prerequisites: EECE 323 - Electromagnetics or equivalent.
Course
Syllabus - Fall 2007
syllabus posted
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EECE 545
- Digital Communication Systems, Prof. Edward Li
- 3 cr.
Transmission of information in digital form; coding;
packets; error detection, correction; carriers; multipath
and intersymbol interference, spread spectrum.
Prerequisites: EECE 377 - Communications or equivalent.
Course
Syllabus -
Fall 2006 Course Syllabus.
Will update with fall 2007 syllabus once received.
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|
EECE 552
- Computer Design, Prof. Aneesh Aggarwal
- 3 cr.
Computer architectures, virtual memory organization,
input-output, microprogramming, multiprocessor systems,
memory hierarchies, pipelined architecture, RISC machines,
fault-tolerant machines.
Prerequisites: EECE 352 - Computer Organization and
Microprocessors or equivalent.
Course
Syllabus - Fall 2007
Syllabus posted
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|
EECE 574 -
CMOS VLSI Circuit Design Architectures, Prof.
Qinru Qiu - 3 cr.
The MOS transistor, circuit characterization and performance
estimation. CMOS logic and structured design:
electrical design of logic circuits, clocking strategies,
and design rules. CMOS systems and RISC architectures. Prerequisites:
EECE 351 - Digital Logic Design or equivalent
Course
Syllabus
- fall 2007 syllabus posted
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EECE 680F -
Machine Pattern Recognition, Prof.
Stephen Zahorian - 3 cr.
Basic principles and strategies for pattern processing and
recognition systems. Parametric and non-parametric
techniques incoluding Bayesian classifiers and neural
networks. Analysis of linear and nonlinear decision
functions for pattern classification. Trainable
pattern classifiers with statistical data sets. Prerequisites: EECE 301 -
Signals and Systems or equivalent and MATH 341 or ISE 261 or
equivalent.
Course
Syllabus - Fall 2007
Syllabus posted
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This course presents material essential for analyzing and
controlling vehicle dynamics such as aircraft (including
helicopters), spacecraft, ground vehicles, etc. The course
stresses the use of simulation as the tool for conducting the
analysis, design and evaluation of control algorithms. A major
part of the course deals with the implications of real time
computation, whether for simulation or for actual vehicle
control. The course will consider, in detail the modeling of
fixed wing aircraft, rotary wing aircraft and ground vehicles.
The techniques introduced, such as multibody codes are
applicable to any dynamic system. There are no in-class exams,
the grade is based on a series of take-home assignments and a
final project.
Course
Syllabus
- Fall 2007 syllabus
posted
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|
| SYSTEMS
SCIENCE AND INDUSTRIAL ENGINEERING |
|
|
SSIE 501 -
Introduction to Systems Science, Prof. George Klir - 3 cr.
Includes a general characterization of systems science as a
field of study; intellectual roots, philosophical assumptions
and historical development of the field; an overview of
fundamental systems concepts, principles and laws; and a survey
of application areas of systems science and its implication for
other fields of study.
Course
Syllabus -
Fall 2007 Syllabus posted
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SSIE
505 - Applied Probability and Statistics, Staff - 3 cr.
Basic
concepts in probability and statistics required in the modeling
of random processes and uncertainty. Bayes' formula.
Bayesian statistics, independent events; random variables
and their descriptive statistics; distribution functions;
Bernoulli, Binomial, Hyper geometric, poisson, normal, exponential,
gamma. Weibull and multinomial distributions; Chebyshev's
theorem; central limit theorem; joint distributions; hypothesis
testing; contingency tables, goodness of fit, non-parametric
statistics, regression and correlation. Prerequisite: one year of calculus.
Course
Syllabus -
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SSIE 510 - The
Science of Manufacturing, Prof. Krishnaswami Srihari
- 3 cr.
Manufacturing has become increasingly critical to standard
of living and competitive market position. Little has
really been published and analyzed as to the underlying
science of manufacturing. Course studies the
manufacturing literature and the manufacturing process and
investigates the underlying principles that govern
manufacturing.
Prerequisites: SSIE 505 - Introduction to Applied
Probability and Statistics or equivalent
Course
Syllabus
- fall 2007
syllabus posted
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SSIE
533 - Human Factors Engineering and Design,
Prof. Mohammad Knasawneh - 3 CR.
Introduction to human factors and systems, design for human
use; human factors research methodologies. Information
about human performance, abilities and limitations is
surveyed and applied: physical work and manual
material handling applied anthropometry and workplace
design, human control of systems, control and data entry
devices and environmental conditions. Human factors
applications including human error, accidents and safety.
Human factors and the automobile, human factors in systems
design. Prerequisities: Basic course in
probability and statistics, or consent of instructior.
Course
Syllabus
- Fall 2007 Syllabus posted
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SSIE
541 - Justifying New Technology, Prof. Nagen
Nagarur - 3 cr.
The investment in new technology represents a major capital
outlay and the decision making for this investments is the
thrust of this course. The traditional methods are
reviewed against the changes occurring in manufacturing to
develop an approach to justifying new technology.
Topics to be covered will include estimating, product vs.
utilization, risk, sensitivity analysis and decision
modeling.
Prerequisites: Basic course in Engineering Economics
or its equivalent; or consent of department chair.
Course
Syllabus
- Fall 2007 Syllabus posted
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SSIE 644 -
Foundations of Adaptive Optimization, Prof. Sarah Lam -
3 cr.
Survey of the newer, most common adaptive search
methods. Project, and research-oriented course that
gives graduate students a foundation from which to explore
areas of their own interest. Focused topics include
simulated annealing, genetic algorithms, evolution
strategies, tabu search and ant colony methods. Other
search methods are briefly covered. Major emphasis is
on NP complete combinatorial problems found in engineering.
Issues such as solution encodings, stochastic convergence,
selection methods, and local and global search methods are
discussed. Prerequisites: SSIE
505 - Introduction to Applied Probability and Statistics or equivalent and knowledge of
at least one programming language..
Course
Syllabus
- Fall 2007 Syllabus Posted
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