Courses Taught


ENGR 7250


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.

 


ECE 7250


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 studentís understanding of the research process, oral communication, intellectual property, and research ethics.††

 

 


ECE 6970


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.

 

 

ECE 6650

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.

 

ECE 6570

BIOMEDICAL SIGNAL PORCESSING AND INSTRUMENTATION

This course aims to present an overview of the fundamental approaches used in biomedical signal processing. While several biological signals such as neural, cardiac and speech will be investigated, we will give special attention to signals with bioelectric origins and will review their properties and clinical significance. Processing objectives will include reduction of noise and artifacts, and extraction of clinically significant features. The course requires a project from each student to allow for an opportunity to study the performance of a method on real physiological signals through MATLAB projects.

 


ECE 6550


DIGITAL IMAGE PROCESSING

This course is designed to provide graduate students with the fundamental concepts and analytical techniques for digital image processing and applications.

 

ECE 5550

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.

 


ECE 4700


FEEDBACK SYSTEMS

Design principles of linear and non-linear feedback systems in both the frequency and time domain. Prerequisites: ECE 3710.

 

ECE 4550

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.

 

ECE 3710

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.


ECE 3100


NETWORK ANALYSIS

Classical and transform methods of network analysis, signals and waveforms. Fourier series and Fourier transforms. Frequency response. Prereq.: ECE 2100; MATH 3740.


ECE 2100


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.


ENGR 1990


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.

 

 

Electrical & Computer Engineering
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Last Updated September 30, 2003