46 courses in the 1969–70 Undergraduate Calendar, read from the scanned original. The text comes from OCR, so check the scanned page before relying on a detail.
Notes
Faculty listed in 1969–70
Professor Chairman P.R. Bryant, M.Sc. (London), M.A.. Ph.D. (Cambridge) Professor R.G. Anthes, B.A.Sc.,M.A.Sc. (Toronro) Professor E.L. Heasell, B.Sc., Ph.D. (Imperial College, London) Professor S.N. Kalra, B.Sc. (Punjab). MS.. Ph.D. (Illinois) Professor A.R.M. Noton, B.Sc.fSheffield},B.Sc. (London), Ph.D. (Cambridge) Professor H.C. Ratz, B.A.Sc. (Toronto), SM. (Massachusetts Institute of Technology). Ph.D. (Saskatchewan) Professor K.D. Srivastava, B.Sc. (Roorkee). Ph.D. (Glasgow} Professor Associate Chairman L.A.K. Watt, B.Sc. (Manitoba), M.S. (Chicago), Ph.D. (Minnesota) Professor L.Y. Wei, B.S. (National Northwestern College, China), MS.. Ph.D. (Illinois) Associate Professor J.H. Anderson, B.Sc. (Leeds), M.Sc., Ph.D. (Manchester) Associate Professor N. Bergman, B.Eng. (McGill) M.S.. Ph.D. (State University of New York, Buffalo) Associate Professor Y.L. Chow, B.Eng. (McGill), M.A.Sc., Ph.D. (Toronto) Associate Professor J.B. Ellis, B.A.Sc. (Toronto), D.I.C.. M.Se. (Imperial College, London). Ph.D. (Michigan State) Associate Professor J.A.A. Field, B.E. (Saskatchewan), M.A.Sc., Ph.D. (Toronto) Associate Professor J.S. Keeler, B.A.Sc.,M.A.Sc. (Toronto), Associate Professor R.H. MacPhie,B.A.Sc. (Toronto), MS.. Ph.D. (Illinois) Associate Professor R.S. Ramshaw, B.Sc., Ph.D. (Nottingham) Associate Professor J. Reeve, B.Sc.,M.Sc., Ph.D. (Manchester) Associate Professor D.J. Roulston, B.Sc.( Belfast), D.ILC.. Ph.D. (Imperial College, London) Assistant Professor S.G. Chamberlain, M.Sc., Ph.D. (Southampton) Assistant Professor G.J. Dufault, B.A. (Ottawa), B.Sc. (Carleton) Assistant Professor J. Hanson, B.A.Sc. (Toronto), D.I.C.. M.Sc., Ph.D. (Imperial College. London) Assistant Professor T. Kameda, B.S., M.S. (Tokyo), Ph.D. (Princeton) Assistant Professor W.N. Meikle, B.A.Sc.,M.A.Sc., (Toronto) Assistant Professor R.G. Van Heeswijk, Dipl. Ing. (Delft, Holland) Assistant Professor W.J. Vetter, B.A.Sc. (Toronto). M.A.Sc., Ph.D. (Waterloo) Assistant Professor P.A. Vuorinen, B.A.Sc. (Toronto). Ph.D. (London)
10 Introduction to Electrical Review of dc circuits. Sinusoidal and complex notations on voltage, Engineering current and impedance. Analysis of simple ac circuits. Power and power
factor. Polyphase circuits. Induced voltage and inductance. D.C. machines. Transformers, induction motors and synchronous motors. Amplification properties of vacuum triodes and transistors. Diode and power supplies. Prerequisite: Physics I I 3 lectures, 3 hours alternate tutorial and laboratory, one term.
12 Electrical Circuits Review of resistive circuits; voltage-current relationships. Kirchhoff's laws, mesh current and node voltage equations. Thevenin’s. Norton’s and Superposition theorems. Time-domain analysis of RL, RC and RLC networks. Phasors, sinusoidal voltages and currents and frequency-domain analysis. Power and Energy. Polyphase circuits. Electrical measurements.
Mechanical Engineering: 2 hours lectures, 3 hours laboratory every alternate week, 2 hours tutorial, one term.
Department of Electrical Engineering 189
13 Electricity and Magnetism Vector algebra; gradient, divergence, curl. Electrostatics; review of Coulomb’s law, electric fields and forces due to point and continuous charge distributions. Gauss’s law. Review of potential, Laplace’s, Poisson’s equations, capacitance. Dielectrics. Magnetostatitics; forces in magnetic fields, induction, Biot-Savart’s law, Ampere’s circuital law. Induced EMF; Faraday induction, Lenz’s law. self and mutual inductance, transformers. Magnetic materials; magnetization, reluctance, magnetic circuits. Maxwell’s equations; plane waves, Poynting’s vector. Prerequisite: EE {2 3 lectures, 3 hours loborotory every third week, I hour tutorial, one
term.
14 Electromagnetics Introduction to magnetic and electromagnetic fields. Electromagnetic forces and induction. Biot-Savart’s Ampere’s, Faraday’s and Lenz’ laws; self and mutual-inductance. Transformers. Materials. Reluctance and magnetic circuits. Introduction to de and ac motors and generators. Prerequisite: EE 12. 3 lectures, 2 hours tutorials. 3 hours laboratory every alternate week, one term.
21 Probability and Probability and frequency distribution, Bayes’ theorem. Continuous Reliability Theory random variable and density functions. Characteristic function, moments, centeral limit theorem, regression, Rayleigh distribution, random process and correlation functions, reliability of components, standby and parallel redundancy, repair and preventive maintainance, standby systems. Prerequisites: Math 22 or equivalent 3 lectures per week, one term.
22 Computer Programming and Flow charting, basic features of the Fortran language, elementary oper- Numerical Analysis ating principles of digital computers. Numerical methods including solution of nonlinear equations, simultaneous linear equations, interpolation, numerical integration, solution of ordinary differential equations. 2 hours lectures, 3 hours problems. one term.
25 Applications of The engineering principles and the application of analogue and digital
Electronic Computers computers to simulation and computational problems. Problem description, block diagramming and flow charting. Scaling and machine language coding. Automatic coding, interpretive routines including digital analogue simulators. Applications of hybrid computers. Digital control of continuous systems. Prerequisite: Math 31, EE 22 3 lectures, 3 hours laboratory alternate weeks, one term.
26 Design of Computing Machines The design principles of digital, analogue and hybrid computers. Boolean algebra and switching circuits. Discrete and continuous arithmetic
units, memory types, input/output and control units. Number systems, floating point arithmetic.
Prerequisite: EE 25
3 lectures, 3 hours laboratory every third week, one term.
28 Communication Theory Relations between information content of messages and system capacity; transmission through electric networks; modulation systems; periodic sampling, noise, comparative analysis of information transmission systems. The role of system bandwidth and noise in limiting the transmission of information is stressed.
32 Electronics Introduction to the principles and characteristics of diodes, vacuum tubes, transistors, and other electron devices, and to the design and analysis of rectifiers, amplifiers, and other electronic circuits. Prerequisite: EE 12.
3 lectures. 3 hours laboratory. one term.
33 Physical Electronics Introduction to statistical mechanics, elementary band theory of solids, intrinsic and extrinsic semiconductors, minority carrier charge dynamics, physical principles of the operation of the p-n junction and the junc: tion transistor.
2 lectures. 3 hours laboratory alternate weeks, one term.
34 Physical Properties Crystal structure and the common lattices, x-ray and electron diffraction of Materials analysis, chemical bonding. Dielectrics; the origin of electrical polariza-
tion, dipole relaxation and dielectric losses, ferro-electrics. Magnetics; the atomic origin of diamagnetism and paramagnetism, paramagnetic resonance, ferro-magnetism, magnetic anisotropies, domains, magnetization curves of bulk material, antiferromagnetism, ferrimagnetism and ferrites. 3 lectures. one term.
35 Solid State Electronics A study of the basic physical principles underlying the operation of some of the important solid state devices, including an introduction to quantum electronics and a discussion of the maser and the laser. An introduction to the phenomenon of superconductivity and a discussion of superconductive devices. Band theory of semiconductors and a discussion of some of the modern semiconductor devices.
3 lectures. one term.
42 Network Theory Review of formulation procedures for linear systems, network theorems, equivalent circuits, analysis of large networks through sub-networks. Analytical solution for simple periodic and non-periodic excitations, Laplace methods for transient and steady-state response. Fourier methods. Resonant circuits. One port, two port and polyphase circuits. Prerequisite: EE 12 2 lecturers. | hour tutorial. 3 hours laboratory alternate weeks, one term.
44 Pulse and Switching Circuits Switching characteristics of electronic devices. Nonsinusoidal wave generation and shaping. Gates, voltage and current sweeps. Multivibrator, blocking _ oscillator.
Prerequisites: EE 42. EE 52 3 lectures. 3 hours laboratory every third week, one term.
§1 Electronic Device Abrupt p-n junction. Switching conditions in abrupt pn junctions. In- Characteristics troduction to transistors. Transistor Characteristics. The vacuum tube. 2 lectures, I hour tutorial, 3 hours laboratory alternate weeks, one term.
62 Electrodynamics Development of dynamic and steady state equations for the generalized
63 Topics in Power Engineering
rotary energy conversion device. Study of de and ac machines as particular types of the generalized device with particular emphasis on their steady state and transient external characteristics.
Energy converters; principles of control with applications of present technology. High voltages. Electrical discharges in solids, liquids and gases. Circuit breakers. Power system surge phenomena.
3 lectures, 3 hours laboratory every third week, common with EE 565, one term.
76 Electromagnetic Fields A vectorial treatment of electromagnetism. Maxwell’s equations, plane
wave propagation, plasmas. Prerequisite: EE 13. Math 33. Math 34 3 lectures, I hour tutorial. one term.
77 Transmission Lines Representation of transmission line by the four line parameters. Derivaand Waveguides tion of the differential equations. Sinusoidal analysis; characteristic
impedance, propagation constant, phase velocity. Terminated lines; reflection coefficient, standing wave ratio, impedance matching. Use of the Smith Chart. Telephone and power lines. Introduction to waveguides, TM and TE modes in rectangular guides, guide wavelength and cutoff frequency, attenuation. The transmission line wave guide analogy.
3 lectures, 3 hours laboratory alternate weeks, one term.
81 Control Systems 1 Time domain and transfer function models for components and systems.
Analysis and compensation of linear single input-single output control systems through transient analysis, s-plane methods, and frequency domain methods; performance specifications, error characteristics and stability. State equations for multivariable systems. Introduction to state-space analysis and algebraic methods of control system synthesis. 3 lectures, 3 hour laboratory every third week. One term.
99 Project An engineering assignment requiring the student to demonstrate initia-
tive and assume responsibility. The student will select a project at the end of the IT1B term from an approved list prepared by the Department. A short progress report at the end of the IVA term and a full report at the end of the IVB term are required. The project mark will be equivalent to two normal one term courses.
ECE 582Control Systems I! Continuous and discrete state space concepts, time domain solution of
vector matrix differential equations, discrete time systems, difference equation formulations, impulse sampling, z-transform and relation to difference equations, data reconstruction, sample data feedback system. Optimization gradient methods. Nonlinear control, stability analysis via Lyapunov and describing function methods.
Prerequisite EE 21, 8]
3 lectures. one term.
Graduate and Research Programme
Graduate credit is measured in units. A one-term course at the graduate level counts as one unit. Two units are given to graduate courses extending over two terms (certain mathematics and science courses). Credit units required for specific programmes are discussed in separate sections for the M.A.Sc. and Ph.D. degree, below.
Equivalent credit may be given to students transferring from other recognized universities for appropriate graduate courses previously taken, up to a maximum of two units, Certain senoior undergraduate courses may be taken for graduate credit (500 series) up to a maximum of two units.
The normal academic load is four units per term for a full-time student. Five units may be taken with special permission only. Students involved in part-time employment at the University or otherwise, must take a reduced academic load, as detailed in the separate section on financial assistance below.
A Faculty Advisor is appointed to supervise the programme of study of each graduate student. A new student must meet with his advisor prior to graduate course registration to arrange his course-work programme and discuss his research interests. The progress of the student will be reviewed at least once each term by the advisor. Any changes in either course-work or research programme must be specifically ap-
Department of Electrical Engineering 193
Master’s Degree Programmes
The objective of the Master’s Degree programme (M.A.Sc.) in Electrical Engineering is to demonstrate individual accomplishment of a high professional and academic standard. The candidate, with approval of his advisor, may elect to submit either a research thesis as a portion of the requirements, or an engineering project report of a professional calibre on a design or theoretical application problem.
The complete programme submitted for the M.A. Sc. degree must consist of at least five units of graduate credit plus a thesis, 808, or eight units of graduate credit plus a project, 807. Suitable courses offered by other departments may be taken, as appropriate.
The topic of the thesis and the choice of the required five units of graduate-course work are arranged by the student and his Faculty Advisor. Each student’s programme is subject to approval by the Graduate Studies Committee of the Department. The student must remain registered without interruption in 808 until the thesis is submitted. The research work leading to the thesis must be performed under the direction of the Faculty Advisor, and is finally approved and accepted by him.
The topic of the report and the eight units of graduate-course work are arranged by the student and his Faculty Advisor for approval by the Graduate Studies Committee. The work leading to the report must be performed under the direction of the Advisor and be acceptable to him. Credit may not be obtained for both 807 and 808.
The minimum period of registration for the Master’s degree is one academic year from an honours Bachelor’s degree or equivalent, except in certain clearly identified two-year Master’s programmes. The actual time taken to complete the requirements depends on the candidate and may be considerably longer than the minimum.
Normally three years are considered sufficient time to complete all requirements. In special circumstances an extension may be granted by the Faculty. In any case, the candidate must remain continuously registered at the University to the end of the term in which he completes the degree requirements.
The candidate must obtain an average grade of at least 66% (B) in the course-work portion of his approved study programme. At any time, a student may be required to withdraw from the programme if he received a grade of C, (60-66%) or less, in more than one course in Electrical Engineering, or in more than a total of two course units, including minor fields.
English language requirement: A student whose mastery of spoken English is inadequate may be required to take a non-credit course in English and to pay an additional fee of approximately $25.
The Ph. D. Degree Programme
The primary objective of the Ph. D. programme is the accomplishment of independent and original research work and reporting thereon in a research thesis. The subsidiary requirements are completion of a suitable course-work programme, passing a comprehensive examination, demonstration of reading knowledge of a foreign language, and receiving a satisfactory review by a supervising committee. All of these must be construed as contributing to the competent performance of the research objective.
Admission to the Ph. D. programme is based upon the student’s aca-
Students must satisfy the requirements of the comprehensive examination as set out in paragraph five. No candidate will be admitted to the Ph. D. programme before a Faculty Advisor willing to supervise the candidate’s research is appointed.
Minimum registration requirements for the Ph. D. degree are of two academic years from the Master’s degree level, or equivalent. The maximum time allowed is five consecutive academic years from the same level. Part-time programmes are not encouraged, and students may normally satisfy only the subsidiary requirements of the programme on a non-resident basis. A minimum of three terms of full-time resident study are required in those cases where all other requirements have previously been met on a part-time basis.
The course-work associated with the Ph. D. programme is intended to provide a foundation for advanced learning in the-general field of study as well as for competent research performance in some specific area. While there is no fixed requirement as to the number of credit units to be taken, aside from a usual maximum of eight units, the Advisor and the supervisory committee for each candidate will consider the level and adequacy of each candidate’s preparation in drawing up his specific programme.
The Comprehensive Examination This examination is conducted orally by a committee usually consisting
of the student’s supervisor and two or more faculty members with interests in the same or related areas of study. It will normally be held 8-12 months after the initial registration for the Ph. D. degree. The purpose of the examination is to assess the candidates academic preparation and his knowledge of his chosen field of study. The committee will examine the work he has so far done to prepare himself for full-time work on his research topic, ie. literature survey, method of attack, suitability of the topic etc..
The foreign language requirement is satisfied by demonstrating proficiency in reading and translating into English, technical ‘literature in either German, Russian or French.
ECE 601Advanced Network Theory Study of linear graphs and their associated matrices, graphs of passive
and active networks. Discussion of the rank and independence of network equations; analysis of the various procedures for solution (mesh, node, nodepair, etc.). Study of several topological results useful in network synthesis. Applications of linear-graph theory in switching networks.
ECE 602System Theory A review of the fundamental theorems of matrix theory and linear
graph theory. Formulation of system equations based upon terminal
representation of components. Branch-chord equation formulation and transform methods. State-space equation formulation and time-domain methods. An introduction to constituent matrices and matrix calculus.
A study in depth of selected circuits used in electronics, using both vacuum tubes and transistors. This is an analysis course in which various techniques are used, but Thevenin and Norton equivalent circuits and the pole zero approach are stressed. Analysis of such amplifier circuits as cascode, differential, operational, feedback, Darlington. etc., are included and are applied in the analysis of more complex circuits. Shortcut methods are introduced, based on these concepts.
A continuation of EE 61 1 to include clamping and clipping circuits, flip flops, twin-T configurations, Butterworth filters, break point analysis of complex diode circuits, etc. Prerequisite: EE 61.
Summary of principal modulation systems, unconventional modulation systems, effects on signals and noise, signal-to-noise ratio, bandwidth, effects of coding, evaluation of various signal processing techniques.
Physical and physiological fundamentals of audio vibrations; properties and applications of electroacoustic transducers; analysis and measurement of sound; recording and reproduction of sound, synthesis of sound.
Hamiltonian and dynamics of linear lattices, properties of creation and electronannihilation operators, second quantization Umklap process, phonon interaction, interference condition, Bloch integral equation, conductivity of metals at high and low temperatures, the general variation principle, Bardeen’s theory of metallic conductivity. Theory of mobility in semiconductors, deformation potential, lattice scattering, impurity scattering, impurity conduction, hot electrons.
Resume of physics of semi-conductors leading to d.c. and small signal a.c, characteristics of junction diodes. Discussion of depletion layer capacitance, diiusion capacitance, high level injection, charge storage and recovery, breakdown. Discussion of above the effects in transistors, transit time, base width modulation, base resistance, drift transistor. Special attention will be paid to recent devices such as varactor diodes, step recovery diodes, field effect transistors.
ECE 628Classical, Quantum and Statistical Mechanics 2
The matrix formulation of quantum mechanics, spin, many particle systerns, the Pauli principle. Perturbation theory for time independent systems, treatment of degeneracy, perturbation theory for time dependent systems, transition probabilities. Classical statistical mechanics, the concept of ensembles, the microcanonical, canonical and grand canonical ensembles. Quantum statistical mechanics, the density matrix, ensembles in quantum statistical mechanics, the partition function, the most probable distribution, Fermi-Dirac, Bose Einstein and Maxwell-
Crystal Structure-types of crystal bonding, crystal latices, space groups, X-ray and electron diffraction: Lattice dynamics--lattice vibrations on a line, normal modes, phonons, acoustic and optic modes, vibrations of three dimensional lattices, lattice specific heat theory. Free Electron model of metals-electrical conductivity and ohm’s law, thermal conductivity, quantum theory of particles in a box. Fermi distribution. Band theory of Solids-Bloch theorem, Kronig-Penney model, holes, effective mass concept, motion of holes and electrons, Hall effect, Brillouin zones.
Time variable systems, series approximations, harmonic linearization and harmonic balance. Describing function methods for feedback systems, stability analysis using Lyapunov direct method for continuous and discrete time systems, variable gradient methods for generating Lyapunov’s functions. The first canonic form of Lure.
Basic model formats for various categories of processes and process information. Principle of non-recursive and recursive identification methods. Least squared estimation and regression methods for parameter identification from sample signals. Baye’s and maximum likelihood estimation, combined state and parameter estimation by extensions of linear matrix filtering theory.
Performance criteria, classical calculus of variations, dynamic programming, digital control systems, continuous forms of dynamic programming, multivariable control systems. Pontryagin’s Principle with examples, the two point boundary problem, computer control of processes.
Topics selected from representative types and techniques of antennas: linear and travelling wave antennas, horns and lenses, reflector types of antennas, interferometers and antenna arrays, antenna measurements. data processing for radio astronomy antennas.
Diffraction theory; the induction, equivalence, and reciprocity theorems, 2 reaction concept, image theory, Huggen’s sources, method of stationary phase. Green’s functions; method of images, spherical harmonics, eigen-
Department of Electrical Engineering
function expansions, multipoles, dyadic Green’s functions. Coherence theory: mutual coherence function quasi-monochromatic analysis, coherent and incoherent limits, interferometer and linear array applications.
Rotational transducers and energy relations; G matrix; power flow; transformations and power invariance; generalized theory applied to real machines; electrical transient performance, transient reactance‘ fault conditions, sustained small oscillations; excitation and transient performance of synchronous machines.
Determination of the electric field for different electrode configurations. Surge voltages, their origin and effects. Laboratory generation of high voltages. Measurements. Insulation coordination.
Machine solution of computational problems. Machine representation of quantities, coding of numbers and variables, Arithmetic units, memory systems, input/output principles. Multi-processor and multi-processing systems. System models and performance estimation. Time sharing. Real time computing, application in hybrid and graphics computing.
Computer organization, synchronous and asynchronous systems. Modular systems design, single and multi-register processors, stack processors, pipelines operation, determinancy of parallel subsystems. Memory systems and storage organization, information structures, hardware and algorithmic memory search systems.
Elements of Hybrid computer systems, error sources and propagation, comparison of simulation methods, generation and measurement of random signals, simulation of control systems, solution of Functional equations and partial differential equations.
Information lossless. finite memory and linear sequential machines. Machine decomposition, regular expressions, finite automata. Selected topics From: iterative networks. reliability and redundancy, random processes in sequential circuits.
Statistical basis For the description of signals; distributions, moments, and characteristics functions; cumulative distribution functions. Sets, Lebesque measure, and the Lebesque-Stieltjes integral. Random variables, Functions of random variables, ensembles, and ergodicity. Generalized harmonic analysis; correlation functions and spectral densities, statistical properties of message ensembles and the estimation of spectra, higher order statistics and the classification of random processes. Correlation detection of very low level signals. Linear filtering; physical realizability, random signals and input-output cross-correlations; Hilbert transforms. Derivation of the Wiener-Hopf equation, spectral Factoring and the solution For optimum linear systems.
Consideration of the factor related to the design of communication systems; summary of the historical development of the art; system performance requirements; consideration of channel characteristics; modulation and reception techniques; comparisons of overall system configurations; criteria for optimum performance including reliability, costs, convenience, availability, and economic factors.