University of
Windsor - Graduate Calendar, 1998 - 2000 
COLLEGE OF GRADUATE STUDIES AND RESEARCH 

Structure of the College 
Programs Offered  
Application Procedures 
College Regulations 
Doctor of Philosophy 
Master's 
Research Institutes 

PROGRAMS OF STUDY 

Economics 
Education 

Engineering - General  Regulations 
Civil and Environmental  Engineering 

Electrical Engineering 
Course Descriptions 

Engineering Materials 
Geological Engineering 
Industrial and Manufacturing  Systems Engineering  
Mechanical Engineering  

English 
Geography 
Geology 
History 
Kinesiology 

Mathematics & Statistics 
Nursing  
Philosophy 
Physics 
Political Science 
Psychology 
Sociology 
Visual Arts 

OTHER GRADUATE FACULTY  

POSTGRADUATE AWARDS AND  FINANCIAL AID 

CALENDAR OF THE ACADEMIC YEAR  

GENERAL INFORMATION 

FEE REGULATIONS AND  SCHEDULE 

GENERAL INDEX 
 

10  ELECTRICAL ENGINEERING 

10.1.1 GRADUATE FACULTY 

University Professors 

Jullien, Graham A.; B.Tech. (Loughborough), M.Sc. (Birmingham), Ph.D. (Aston), P.Eng.—1969. 

Hackam, Reuben; B.Sc. (Technion, Israel), Ph.D., D. Eng. (Liverpool), F.I.E.E.E., P. Eng.—1978. 

Professors 

Miller, William C.; B.S.E. (Michigan), M.A.Sc., Ph.D. (Waterloo), P.Eng.—1968. 

Soltis, James; B.Sc. (Windsor), M.Sc., Ph.D. (Michigan)—1974. 

Sid-Ahmed, Maher A.; B.Sc. (Alexandria); M.A.Sc., Ph.D. (Windsor)—1978. 

Raju, G.R. Govinda; B.E. (Mysore), Ph.D. (Liverpool), F.I.E., P. Eng.—1980. 

Ahmadi, Majid; B.Sc. (Tehran), D.I.C., Ph.D. (Imperial College) C.Eng., F.I.E.E.—1981. 

Kwan, Hon K.; B.Sc. (London), M.Phil. (CUHK), D.I.C., Ph.D. (London), F.I.E.E., C.Eng., P.Eng.—1988. 

Associate Professor 

Alexander, Philip H.; B.A.Sc. (Assumption), M.A.Sc. (Windsor), P.Eng.—1964. 

Adjunct Professors 

Chikhani, Aziz Y.; B. Sc., M. Sc. (Cairo), Ph.D. (Waterloo), P. Eng.—1985. (Royal Military College of Canada) 

Shridhar, Malayappan; B.Sc. (Bombay), D.M.I.T., M.S. (Brooklyn), Ph.D. (Aston), P.Eng.—1986. (Head, Electrical Engineering Department, University of Michigan, Dearborn) 

10.2.1 AREAS OF SPECIALIZATION 

Electrical Engineering offers graduate programs leading to the degrees of Doctor of Philosophy (Ph.D.) and Master of Applied Science (M.A.Sc.). Research is carried out in the two broadly defined areas of (a) Signals and Systems and (b) High Voltage and Power Systems. 

Within the area of Signals and Systems such research topics as speech processing, image processing, digital filtering, discrete transforms, number theory and hardware realizations of signal processing-related devices are investigated. Within this research area the VLSI Research Group investigates modern VLSI implementations of high speed digital signal processing algorithms. 

Research within the High Voltage and Power area deals with such topics as power systems, high voltage technology, electrical arcs, insulation and electric and magnetic field calculations. 

10.3.1 COURSE DESCRIPTIONS 

The graduate course offerings in Electrical Engineering are designed to complement the two major areas that define the research orientation of the program. Course requirements for the Ph.D. and M.A.Sc. degrees in Electrical Engineering will be selected from the courses listed below and related courses in other programs. 
Graduate students  will be associated with one of the two major areas of research. Their program of studies will be formulated in consultation with the graduate advisors and approved by the Chair of the Program Graduate Committee coordinator. 

Only a selected number of the courses listed below will be available each year. The current list will be provided by the  Coordinator of Graduate Studies in Electrical Engineering. The following courses all are two hours a week for one term. 

88-510. Advanced Electromagnetic Theory 
Advanced theory and applications of electromagnetic fields and wave propagation. 

88-511. Electrical and Magnetic Materials 
Selected topics in the properties of electrical, electronic, dielectric and magnetic materials. Measurement techniques of the properties and applications of the materials. 

88-513. High Voltage Technology 
Generation and measurement of high voltages, non-destructive and destructive testing techniques. 

88-514. Advanced Power Systems 
High voltage surges, origins, propagation and reflections; transients in power equipment; protection of substations. 

88-515. Electric and Magnetic Field Calculations 
Development and application of analytic and numerical techniques for calculating electromagnetic and electrostatic fields. Computer-oriented approaches are emphasized and a project is required. 

88-516. High Voltage Phenomena 
Ionization and decay processes, electrical breakdown mechanisms in gaseous, liquid and solid insulation. 

88-517. Electrical Arcs in Power Apparatus 
Thermodynamics of gaseous plasmas. Elenbass-Heller description of the steady state arc. Current zero phenomena in power circuit interruption. Theory of unsteady and transient arc columns. Low and high pressure arcs and their radiative properties. Cathode, anode and wall phenomena. Vacuum arcs in rectifiers and circuit breakers. Arc gas heaters and plasma torches. Thermionic arcs in searchlights and thyratrons. Glow to arc transition. 

88-521. Digital Signal Processing 
Discrete processes, Z-transform, recursive and non-recursive digital filters, quantization effects, hardware implementation. 

88-522. Applied Time Signals Analysis and Processing 
Continuous and discrete signals; sampling theory and practice; filtering, interpolation, coding, statistical concepts, transform methods; power density estimation, correlation functions, convolution. 

88-523. System Theory 
Continuous and discrete time systems, state formulation techniques, controllability and observability concepts, and system simulation. 

88-524. Stochastic Processes 
Development and applications of probability models in the analysis of stochastic systems; review of probability, random variables and stochastic processes; correlation functions applications to filtering, prediction, estimation and system identification. 

88-525. 2-Dimensional Digital Signal Processing 
Fundamentals of 2-D signals and transforms; Laplace, Z, Fourier, etc. Design, stability, stabilization and implementation of 2-D LSI systems. Reconstruction of signals from their projections. 

88-526. Computer Graphics 
2-dimensional transformation: translation, scaling, rotation. Clipping and windowing. Transformation system. Interactive graphics. 3-D computer graphics. 3-D transformation. Wire frame perspective display. Hidden line and shading. Display devices, vector generators, display files. 

88-527. Speech Processing 
Physiology of human speech production and hearing; mathematical models for vocal tract; estimation of speech parameters; computer synthesis of speech; machine recognition of speech and speakers through speech analysis; applications. 

88-528. Image Processing 
Digital image representation, elements of image processing system, image enhancement, 2-D sampling theorem, image transforms, image restoration and colour image processing. 

88-529. Discrete Transforms and Number Theoretical Methods 
Introduction to orthogonal transforms, DFT, DCT, DHT; implementation methods; fast algorithms, FFT, WFT; polynomial transforms; finite rings and fields; number theoretic techniques; residue number systems; conversion and computation; finite polynomial rings; VLSI implementation consideration. 

88-530. Selected Topics in Digital Signal Processing  
Selected topics in the analysis and design of digital systems and sub-systems and their applications in the area of signal processing. (May be repeated more than once for credit if the topics are different.) 

88-531. VLSI Design 
Overview of VLSI designs, CAD tools, application, technology; review of properties of silicon, solid state physics and devices; SPICE models; analog simulation; IC technology; target CMOS process; static CMOS logic; principles of standard cell CMOS design; dynamic characteristics of static CMOS logic; dynamic logic; system level considerations;  hardware description languages; silicone compilers. 

88-533. Neural Networks 
Introduction to neural networks, the human brain and nervous system; pattern associators; auto-associators and Hopfield network; Hamming network; feed-forward network; other supervised learning neural network models; unsupervised learning neural network models; VLSI implementation; real-world applications. 

88-534. Systolic Array Architectures 
Introduction to systolic array architectures; mapping methodology; systolic array realization of convolution and discrete Fourier transform; systolic array realization of digital filters; bit-level systolic array realizations; fault-tolerance; VLSI implementation. 

88-590. Special Topics 
Selected advanced topics in a field of research in the Electrical Engineering. (May be repeated more than once for credit if the topics are different.) 

88-797. Thesis 

88-798. Dissertation 

 

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