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Graduate Calendar
Fall 2004

 

Preface and Revisions

Programs of Study (Alpha-listing)

Statistics Canada Disclaimer

2004-06 Important Dates

Faculty of Graduate Studies and Research (FGSR)

Programs Offered - Overview

Application Procedures

Faculty Regulations

The Degree of Doctor of Philosophy

The Master's Degree

Research Institutes

General Courses, FGSR

Biological Sciences: Graduate Faculty
• Biological Sciences: Programs
• Biological Sciences: Courses

Odette School of Business: Graduate Faculty
• Business: Programs
• Business: Courses

Chemistry and Biochemistry: Graduate Faculty
• Chemistry and Biochemistry: Programs
• Chemistry and Biochemistry: Courses

Communication Studies: Graduate Faculty
• Communications Studies: Programs
• Communciation Studies: Courses

Computer Science: Graduate Faculty
• Computer Science: Programs
• Computer Science: Courses

Earth Sciences: Graduate Faculty
• Earth Sciences: Programs
• Earth Sciences: Courses

Economics: Graduate Faculty
• Economics: Programs
• Economics: Courses

Faculty of Education: Graduate Faculty
• Education: Programs
• Education: Courses

Faculty of Engineering: Programs of Study Overview
• General Courses, Engineering

Civil and Environmental Engineering (CEE): Graduate Faculty
• CEE: Areas of Specialization
• CEE: Courses

Electrical Engineering: Graduate Faculty
• Electrical Engineering: Areas Of Specialization
• Electrical Engineering: Courses

Engineering Materials: Graduate Faculty
• Engineering Materials: Areas of Specialization
• Engineering Materials: Courses

Industrial and Manufacturing Systems Engineering (IMSE): Graduate Faculty
• IMSE: Areas of Specialization
• IMSE: Courses

Mechanical, Automotive, and Materials Engineering
(MAME): Graduate Faculty
• MAME: Areas of Specialization
• MAME: Courses

English: Graduate Faculty
• English: Programs
• English: Courses

History: Graduate Faculty
• History: Programs
• History: Courses

Faculty of Human Kinetics: Graduate Faculty
• Kinesiology: Programs
• Kinesiology: Courses

Mathematics and Statistics: Graduate Faculty
• Mathematics and Statistics: Programs
• Mathematics and Statistics: Courses

Faculty of Nursing: Graduate Faculty
• Nursing: Programs
• Nursing: Courses

Philosophy: Graduate Faculty
• Philosophy: Programs
• Philosophy: Courses

Physics: Graduate Faculty
• Physics: Programs
• Physics: Courses

Political Science: Graduate Faculty
• Political Science: Programs
• Political Science: Courses

Psychology: Graduate Faculty
• Psychology: Programs
• Psychology: Courses

Social Work: Graduate Faculty
• Social Work: Programs
• Social Work: Courses

Sociology: Graduate Faculty
• Sociology: Programs
• Sociology: Courses

Visual Arts: Graduate Faculty
• Visual Arts: Programs
• Visual Arts: Courses

Postgraduate Awards and Financial Aid

General Information

Fee Regulations and Schedule

Back to List of Calendars



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ELECTRICAL ENGINEERING: COURSE DESCRIPTIONS

The graduate course offerings in Electrical Engineering are designed to complement the areas of specialization. Course requirements for the Ph.D., M.A.Sc., and M.Eng. 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 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 Enginneering.

88-510. Advanced Electromagnetic Theory
Advanced theory and applications of electromagnetic fields and wave propagation. (3 lecture hours a week.)

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. (3 lecture hours a week.)

88-513. High Voltage Technology
Generation and measurement of high voltages, non-destructive and destructive testing techniques. (3 lecture hours a week.)

88-514. Advanced Power Systems
High voltage surges, origins, propagation and reflections; transients in power equipment; protection of substations. (3 lecture hours a week.)

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. (3 lecture hours a week.)

88-516. High Voltage Phenomena
Ionization and decay processes, electrical breakdown mechanisms in gaseous, liquid and solid insulation. (3 lecture hours a week.)

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. (3 lecture hours a week.)

88-521. Digital Signal Processing
Discrete Signals, z-transforms, Time Domain and Frequency Domain Analysis of Digital Filters, Design and Realization of FIR and IIR filters, DFT and FFT, Stability and Stabilization of IIR Filters, Discrete Hilbert Transform, Sectioned and Fast Convolution. (3 lecture hours a week.)

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. (3 lecture hours a week.)

88-523. System Theory
Continuous and discrete time systems, state formulation techniques, controlability and observability concepts, and system simulation. (3 lecture hours a week.)

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. (3 lecture hours a week.)

88-525. 2-Dimensional Digital Signal Processing
Fundamentals of 2-D Signals and Transforms; Z, Fourier, discrete Fourier, etc., 2-D FFT, Design Techniques for 2-D FIR and IIR Digital Filters using Transformation and Optimization Techniques. Stability and Stabilization of 2-D Filters, Homomorphic Filtering, Reconstruction of Signals from their Projections. (3 lecture hours a week.)

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. (3 lecture hours
a week.)

88-527. Speech Processing
Production, perception, and acoustic-phonetic characteristics of speech signal; auditory models; linear prediction of speech; cepstral analysis; speech recognition; speech synthesis; spoken language processing; human-computer communications. (3 lecture hours a week.)

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. (3 lecture hours a week.)

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. (3 lecture hours a week.)

88-530. Selected Topics in Digital Signal Processing
Selected topics in the analysis and design of digital systems and subsystems and their applications in the area of signal processing. (May be repeated more than once for credit if the topics are different.) (3 lecture hours a week.)

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. (3 lecture hours a week.)

88-533. Computational Intelligence
Models of the human brain and sensory systems. Neural networks and learning algorithms. Fuzzy sets, fuzzy logic, and fuzzy systems. Evolutionary computation. Advanced topics in computational intelligence. (3 lecture hours a week.)

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. (3 lecture hours a week.)

88-535. Nonlinear Systems
Introduction to the analysis and design of nonlinear control systems, mathematical preliminaries, second-order systems (including Lyapunov stability, center manifold theorem, input-output-stability) perturbation theory; control design for non-linear systems. (Prerequisite: For Electrical Students 88-324; For Mechanical Students 92-412.) (3 lecture hours a week.)

88-536. Automotive Control Systems
Introduction to automotive control systems; engine operation and dynamics; engine management and control; robust engine control; hybrid powertrain modelling and control; estimation of vehicle parameters and models; vehicle control system; automotive electronics. (Prerequisite: For Electrical Students 88-324; For Mechanical Students 92-412.) (Crosslisted with 92-545.)(3 lecture hours a week.)

88-541. Low Power CMOS Design
This course is designed to prepare students for advanced VLSI design where low power dissipation is of critical concern. Topics will include: Introduction to low power techniques for CMOS circuit design; design levels of abstraction; sources of power dissipation, capacitance analysis, and power estimation; simulation-based and probability-based power estimation; low-level and high-level power optimization; advanced techniques for modern IC fabrication, and low power design tools from an industrial perspective; recent advances in low power CMOS design (Prerequisties: 88-217 and 88-316.) (3 lecture hours per week plus project.)

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.) (3 lecture hours a week.)

88-797. Thesis

88-798. Dissertation