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Courses Taught
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ENGR 7250
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DOCTORAL RESEARCH SEMINAR
Seminars will be presented by
faculty, Ph.D. students, and visiting lecturers concerning the conduct, dissemination,
and funding of research. The seminar course is
open to all PhD students in the College
of Engineering and
Applied Sciences.
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ECE 7250
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DOCTORAL RESEARCH SEMINAR
This
course is designed to provide doctoral students the opportunity to explore
the research and theory relevant to an area of their interest in Electrical
and Computer Engineering. The course includes a
series of selective readings and presentations that is targeted at
improving student’s understanding of the research process, oral
communication, intellectual property, and research ethics.
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ECE 6970
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TOPICS IN ELECTRICAL AND COMPUTER ENGINEERING
Special topics in advanced area of Electrical Engineering or Computer
Engineering not included in other courses. May be repeated
for credit with a different topic for up to 6 hours maximum. Prerequisite: Consent of instructor.
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ECE 6650
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MEDICAL IMAGING SYSTEMS AND ANALYSIS
This course is
designed to provide graduate students with the fundamental concepts of
medical imaging systems, medical image construction, and image analysis. It will also provide the students with a deep look
into the current and future trends in medical imaging and medical image
analysis.
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ECE 6550
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DIGITAL IMAGE PROCESSING
This course is designed to
provide graduate students with the fundamental concepts and analytical
techniques for digital image processing and applications.
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ECE 5550
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ADVANCED DIGITAL SIGNAL PROCESSING
This course introduces graduate students to advanced topics in signal
processing theory and applications. DSP is rich
with a variety of algorithms in a wide spread applications area such as
communications, controls, biomedical engineering. Students
will learn how to apply these algorithms and concepts to solving real-world
problems in different applications.
Prerequisites: ECE 4550.
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ECE 4700
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FEEDBACK SYSTEMS
Design principles of linear and non-linear feedback systems in both the
frequency and time domain. Prerequisites: ECE 3710.
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ECE 4550
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DIGITAL SIGNAL
PROCESSING
Introduction to discrete time systems. Z-transforms. Discrete Fourier transforms and Fast Fourier
transforms. Design and implementation of digital
filters. Statistical methods, optimal filters and
error analysis. Prerequisites: ECE 3800.
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ECE 3710
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LINEAR SYSTEMS
Systems and their models, state variable formulation. Stability
and performance of feedback systems and their analysis in the s-plane. Root locus methods. Analysis
and synthesis of sampled-data linear feedback control systems. Prerequisite: ECE 3100.
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ECE 3100
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NETWORK ANALYSIS
Classical and transform methods of network analysis, signals and waveforms. Fourier series and Fourier
transforms. Frequency response. Prereq.: ECE 2100; MATH 3740.
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ECE 2100
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CIRCUIT ANALYSIS
Analysis of linear electric circuits using methods based on Kirchhoff's
laws and network theorems. RL, RC, and RLC
transients. Sinusoidal steady state analysis. Prerequisite: MATH 1230.
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ENGR 1990
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ENGINEERING MATHEMATICS
Application of math in engineering. Topics
to include Algebra and Trigonometry in Engineering, Sinusoids and Harmonic
Signals in Engineering, Systems of Equations and Matrices in Engineering, Application
of Derivatives (Velocity and Acceleration, Electric Circuits, and
Deflection of Beams), Application of Integrals (in Statics, Dynamics, and
Electric Circuits), Application of Differential Equations in Mechanical and
Electrical Systems.
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