62 courses in the 1989–90 Undergraduate Calendar, read from the scanned original. The text comes from OCR, so check the scanned page before relying on a detail.
Engineering
Professor, Chairman
M. Chandrashekar,’ BTech (indian institute of Technology, Kanpur), MASc, PhD (Waterloo), PEng
Protessor, President of the University
D.T. Wright, BASc (Toronto), MS (lifinois), PhD (Cambridge), DEng (Carleton), LLD (Brock) DSc (Memorial), LLD (Concordia), LHD (Northeastern), PEng
Associate Professor, Associate Dean
for Computing, Faculty of Engineering
B.L. Wills, BASc, MASc, PhD (Waterloo), PEng
Professor, Associate Chairman.
Graduate Studies
K.W. Hipel,? BASc, MASc, PhD (Waterloo), PEng.
Associate Professor, Associate
Chairman, Undergraduate Studies
M.E. Jernigan, SB, SM, PhD (Massachusetts Institute of Technology), PEng, Recipient of the Distinguished Teacher Award
Professors
W.K. Adrian,? Dipi-ing, Dr-ing (TH Darmstadt), Dr habil, (Karlsruhe)
M.-P. Bryden,‘ SB (MIT), MSc, PhD (McGill)
T.M. Fraser, MB, ChB (Edinburgh), MSc (Ohio State), LMCC, FACPM, PEng, (Retired)*
K. Huseyin, MSc (istanbul), PhD (London), DSc (Eng)(London), PEng Recipient of the Distinguished Teacher Award
H.K. Kesavan, BSc, BE (Mysore), MS (illinois), PhD (Michigan State), PEng
Systems Design Engineering
P.H.O'N. Roe, BASe (Toronto), MASc, PhD (Waterloo), PEng
S.S. Sengupta, MA, DPhil (Calcutta)
G.N. Soulis,5 BASc (Toronto), PEng
T.E. Unny, BE (Madras), MTech (Kharagpur), Dr ing (Dresden), PEng
D.A. Winter,® BSc, MSc (Queen's), PhD (Dalhousie), PEng
A.K.C. Wong, BSc, MSc (Hong Kong), PhD (Carnegie), PEng
Associate Professors
M.L. Constant, BSe (Toronto), (Retired)*
C.K.G. Hahn, MASc (Waterloo)
G.F. Rabideau, BA, MA (Wisconsin), PhD (Purdue), (Retired)*
G.J. Savage, BASc, MASc, PhD (Waterloo), PEng
Assistant Professors
P.H. Calamai, BASc, MASc, PhD (Waterloo)
G.L. Greig, BSc (Queen's), MASc (Western), PhD (Toronto)
G.R. Heppler, BASc, MASc, PhD (Toronto), PEng
M. Kamel, BSc (Alexandria), MSc (McMaster), PhD (Toronto), PEng
J.J. Kay,2 BASc (McGill), MASc, PhD (Waterloo)
J.A. Robinson, BSc (Durham), MSc, PhD (Essex)
H.C. Shen, BMath (Waterloo), MSc (Toronto), PhD (Waterloo)
D.W. Stashuk, BASc (Waterloo), MEng, PhD (McMaster), PEng
Adjunct Faculty
D.M. Kilgour,” BASc, MSc, PhD (Toronto)
T.K. Lim, BSc (Nanyang), MASc (Waterloo), PhD (McMaster)
G.P. Madhavan, BSC, (calicut), MS (indian Institute of Technology, Madras), PhD (McMaster)
N. Okada, BASc, MASc, DEng (Kyoto)
K. Singhal, BTech (indian Institute of Technology, Kharagpur), MS, EngScD (Columbia), PEng
Faculty Members of Systems Design Engineering holding cross appointments to.
Environment and Resource Studies 2Statistics and Actuarial Sciences
Faculty Members holding cross appointments to Systems Design Engineering from.
3Optometry
4Psychology
5Management Sciences SKinesiology
7 Wilfrid Laurier University 8Environment and Resource Studies
“Also has Adjunct appointment
16:176 Course Descriptions
Systems Design Engineering
Course Descriptions | Introductory Notes
1. The numbering of Systems Design Engineering courses is as follows.
a. if the course is given in the “A” term, the number in the units place is odd; otherwise, it is even.
b. The number in the 10's place refers to the field of the subject matter of the course, according to the following codes.
1 topics in applied mathematics
2 computer systems
3 socio-economic systems
4 human systems
5 physical systems
6 the design of engi neering systems
7 communication and information systems
8 engineering sciences 9 laboratories
c. The number in the 100's place refers to the year in the program in which the student will encounter the course.
_2. The majority of Systems Design courses are given on the basis of 3 formal lectures and 1 tutorial hour each week. The department endeavours to ensure that the formal course schedule remains below 30 hours per week in each term. Beyond this, other, less formally scheduled meetings between students and faculty are required. It is expected that the average student will spend, in total, between 45 and 55 hours per week on his/her studies.
Systems Design first year students will meet with a faculty member designated as their class professor. Performance in assignments, conceptual difficulties with courses, interrelation of coursework, later work and engineering practice will be discussed. Non-credit courses.
Sets and functions, limits and continuity. Derivatives and differential formulas. Differentials. Extrema. Antiderivatives, indefinite integrals. Integration as the limit of asum. Areas, volumes, transcendental functions. Methods and techniques of integration. Application of integrals.
Methods of integration, application of integrals. Sequences, series, power series, Taylor series with applications. Multi-variable functions, partial derivatives and differentials. Chain rules.
Matrices, matrix algebra, introduction to functions of a matrix. Matrix partitioning. Vectors and vector spaces. Subspaces, independence. Basis of a vector space, coordinates of a vector. Determinants, cofactors; adjoint and inverses of a matrix. Rank of matrix, linear transformation and partitioning. Eigenvalues. Eigenvectors, diagonalization of matrices.
Introduction to electronic digital computers; hardware and software organization, basic features of Pascal and/or Fortran, examples of efficient algorithms for engineering computation.
Binary variables and basic logic circuits; computer architecture and machine instructions for small computers; assembly language programming; inter-- facing with peripheral equipment; current engineering applications of microcomputers. _
Cost-benefit analysis, critical path methods, interest, project economics, decision making, utility theory, project organizational theory.
The man-machine environment complex; the nature of the operational environment; human sensory processes, human information processing; motor function; human work, thermal regulation and metabolism, skill, fatigue; shift work and circadian rhythms, problems of acoustic noise, vibration, heat, cold; needs of ventilation and lighting, information displays and control systems.
Introduction to the ideas and techniques of systems analysis and design. Fundamentals of graphic techniques. The use of graphics as an aid to idea generation in design. Principles of planning, innovation, creation of design solutions, feasibility analysis, solution evaluation and selection. The systems approach to value and utility.
Basic concepts of mechanics, vectors, statics of particles. Rigid bodies and force systems, equilibrium of rigid bodies. Analysis of trusses and frames. Distributed forces, centroids and moments of inertia. Friction. Virtual work.
Kinematics of particles, rectilinear and curvilinear motion. Kinetics of particles, application to space mechanics. Energy and momentum methods. Systems of particles. Kinematics of rigid bodies, planar motion. Vibrations.
Concepts of electronic structure, bonding; shapes of molecules, especially in covalent molecules; reactivity, energetics, chemical behaviour as a consequence. Acidity, basicity and buffer solutions. Organic Chemistry — systems of nomenciature, functionality and common relations. Important systems of natural and synthetic polymers and biomolecules.
Systems Design second-year students will meet a faculty member designated as their class professor. Performance in assignments, conceptual difficulties with courses, interrelation of coursework, later work and engineering practice will be discussed. Non-credit courses.
First order differential equations, integrating factor, higher order differential equations. Complex variables, forced and free solutions to differential equations, transient and steady state solutions, applications. Laplace transforms and applications.
Models and analysis of linear systems. Discrete time systems, continuous time systems; difference and differential equations; impulse and frequency response. Complex frequency, functions of complex variables, transform domain techniques: Z transform; Fourier analysis, Laplace transform. Transfer functions and frequency response, frequency domain analysis of linear systems; sampling theory, stability, and linear filters.
Algebra of events, sample spaces and probability measures. Probabilistic models and measures of various applications. Random variables and expected values. Discrete/continuous probability. Probability distributions. Joint probability. Functions of random variables. Applications in stochastic processes.
Acomplete review of probability models. Goodness of fit. Estimation, tests of significance and confidence intervals. Application to normal models. Simple linear regression.
Component models, interconnection models, systems equations and their rank properties and solutions. These concepts are developed with respect to electrical systems.
A problem and project oriented course wherein emphasis is placed on designing and presenting creative solutions to real-life problems. The problems are related to cover all disciplines. Both the problems and the student's work are expected to increase in sophistication through the Workshop course sequence.
A continuation of the Systems Design Workshop sequence.
Introduction to mechanical response of materials and stress-strain relationship. Behaviour of prismatic members in tension, compression, shear, bending and torsion. Shear-force and bendingmoment diagrams. Work and energy methods. Introduction to instability.
Introduction to the fundamental laws of electricity and magnetism; properties of dielectrics, conductors and semiconductors and terminal characteristics of passive and active components; Kirchoff's laws; step response of first and second order networks; sinusoidal steady state analysis using phasors. Applications.
Fundamental concepts in systems using fluid flow. Basic treatment of Statics, kinematics and dynamics of fluids. Conservation laws. Similarity and dimensional analysis. Brief introductions to boundary layers, lift and drag, ideal and compressible flow.
Digital systems design, an introduction _
to digital logic with emphasis on the use and characteristics of integrated circuits. Design of logic systems involving gates, counters, registers, flipflops and arithmetic logic units. An introduction to microprocessor components.
Course Descriptions 16:177
Systems Design Engineering
Systems Design third year students will meet with a faculty member designated as their class professor. Performance in assignments, conceptual difficulties with courses, interrelation of coursework, later work and engineering practice will be discussed. Non-credit courses.
Deterministic operations research models. Topics will include: mathematical techniques of unconstrained and constrained optimization, followed by the construction, evaluation and applicability of various models in allocation, inventory, replacement, sequencing and related problems.
Introduction to numerical techniques for engineering problems. Topics covered include: source of computational error; solutions to linear and non-linear equations; matrix factorization; eigensystems; numerical interpolation and approximation; numerical integration solution of ordinary and partial differential equations. Introduction to data Structures and their application.
System modelling, simulation techniques for continuous and discrete systems; special purpose computer languages for systems simulation; examples and applications in a variety of areas.
Theory and algorithms for non-linear constrained optimization problems: convex set, convex functions, convex programming, Kuhn-Tucker conditions, duality, quadratic programming, quasi- Newton methods, geometric programming, dynamic programming.
Multiple regression analysis. Assumptions, use of indicator variables, variable selection techniques, analysis of variance. Introduction to experimental design, including block designs, factorial arrangements of treatments.
16:178 Course Descriptions
Systems Design Engineering
History and development of occupational hygiene. Review of organic chemical terminology. Recognition, evaluation, and control of, and human response to, hazardous chemical and physical agents in the environment.
The subject matter is similar to SY DE 252 except that the development is based on other physical systems such as mechanical and hydraulic systems. Mixed nodal, state formulation and solution. Relationship to classical approaches to modelling of systems from other physical systems.
Data structures techniques and their role in the design of algorithms, arrays, lists, tees and graphs, sorting and searching algorithms, evaluation and analysis of algorithms, application to engineering problems.
Application of systems theory to the problems of control. The course integrates this study with an exposition of classical control theory.
A continuation of the Systems Design Workshop sequence for third year students.
The generation and forming of surfaces. Concept and design of tooling for manufacturing processes. The influence of materials on processes and choice of processes on design. The behaviour of materials in processes. Process limitation, tolerances, accuracy, surface finish and economics. Cost in manufacturing.
Presentation and discussion of appropriate and possible methods for the designing of systems or artifacts in which aesthetic characteristics and visual form are primary requirements of the design.
Pattern recognition as a process of data analysis. Pattern features as components in a random vector representation. Classification techniques.
distance measures in feature space, probabilistic (Bayesian) decision theory, linear discriminants. Clustering and feature extraction. Applications: optical character recognition, speech recognition, industrial robot vision, medical diagnosis, remote sensing and satellite image analysis, fault detection and diagnosis in complex systems such as nuclear reactors.
An introductory course in engineering thermodynamics structured for students in Systems Design. Classical thermodynamics is presented as the systematic study of energy; its use, degradation, and waste. Applications focus on problems of energy and environment. The concepts of statistical thermodynamics are introduced briefly and their connections with information theory are described.
An introduction to the understanding of the properties and applications of engineering materials. Atomic bonding and packing; crystal defects and microstructure; elasticity, plasticity, strength and fracture; strengthening methods and transformations; fast fracture, toughness, fatigue and creep; oxidation and corrosion; case studies of materials in design.
Analog systems design, signal conditioning systems; attenuation; amplification, oscillation, modulation and detection; linear filters. Input-output relationships, transfer functions and frequency response of linear systems. Application to measurement instrumentation.
This course serves as a focus for the complete lab program sequence. The emphasis is on major experiments which are themselves complete systems requiring the application of previous acquired knowledge in areas of sensing, synthesis, control, measurement and evaluation. Experiments are drawn from the digital control or computer control environment and from the analog control environment.
Systems Design fourth year students will meet with a faculty member designated as their class professor. Conceptual difficulties, the interrelation of course work and engineering practice will be discussed. Non-credit courses.
A continuation of SY DE 311, with emphasis on stochastic operations research models. Topics will include: decision making under uncertainty, queuing models and related probabilistic techniques, feedback control, probabilistic inventory, competitive strategies and related topics.
The objective of this course is to introduce the students to current intelligent system concepts. Artificial intelligence systems in areas such as natural language understanding, speech understanding, machine vision and learning will be discussed. Methods and tools for building expert systems will be introduced.
Prereq: SY DE 352 or equivalent
Design of efficient algorithms and methods for their analysis, mathematical algorithms, string processing algorithms, geometrical algorithms, exhaustive search and traversal techniques, introduction to a lower bound theory and NP-completeness, examples from engineering problems.
Prereq: SY DE 352 or equivalent
Topics include macroscopic modelling of large scale resource and societal systems, decomposition techniques, graph-theoretic and computer based methods of analysis, decision and control problems, other problems concerned with complexity, largeness and aggregation.
Concept of system safety and safety as.
a system component in design and industry. Liabilities and safety legislation. Workman's Compensation: cost, disability, benefits, adequacy. Management and safety responsibilities. The changing roles of safety personnel. Hazards, their determination, categories and elimination. Industrial safety and accident protection. Plant safety and emergency planning. Accident investigation. The hazards of toxic materials, their types, mechanisms, detection and measurement. Toxicology and the workplace, industrial safety standards and codes.
The structure and function of man in relation to the design of man-machine systems with specific emphasis on human physiology and bioengineering. The cell as micro-system and man as a complex of systems and sub-systems.
State equations for two-terminal component systems; time varying and non-linear components; analytical solutions for state models; numerical and analog methods for solution.
A continuation of the Systems Design Workshop Sequence for fourth-year students.
A continuation of the Systems Design Workshop sequence for fourth-year students.
Factors influencing technological innovation. The environment for technological innovation in Canada. Technological innovation in the corporations. The role of governments and universities. International comparisons.
Structural forms. Structural require-
ments. Statically determinate and indet-
erminate structures. Basic theorems of linear elastic structures. Methods of analysis: slope-deflection, moment distribution, atc. Applications of Graph Theory to the analysis of structural systems.
Important concepts in graph theory, their properties, relationships among them and useful graph algorithms are given in the context of various applications. Applications include but not restricted to number of variables for electrical network equations, graph theoretic solutions to electrical network equations, sparse matrix techniques, graph models for fault diagnosis, optimum distribution of traffic through network and other network flow problems.
Issues and direction in computer aided design (CAD); fundamental principles and concepts required in actual design and building of CAD systems; state-ofthe-art of CAD systems on the market; criteria upon which to evaluate CAD systems. Additional topics such as computer-aided manufacturing, flexible manufacturing and expert systems may be included.
Techniques from game theory for assessing the social and political influences in engineering decision making. Topics include metagame analysis, games with mistaken information, sensitivity analysis, dynamic games, probabilistic considerations, bargaining and real-world applications of all the foregoing concepts.
Course Descriptions 16:179
Systems Design Engineering
The purpose of this course is to provide a comprehensive survey of human mental capabilities with applications to human-machine systems. Topics covered include: signal detection and absolute judgement, decision making, perception of verbal material, nonverbal perception, memory, attention and perception, mental workload, selection of action, reaction time and human error, continuous manual control, process control and automation, learning and skill acquisition.
This course will present the fundamental principles of design of humanmachine interfaces, with applications to the design of cockpits, control rooms and computer interfaces. The first part of the course will be devoted to display and perception: measurement and specification of light, colour and sound; properties of the visual and auditory systems; signs, symbols and language; auditory and visual display of information. The second part of the course will apply these concepts to design: human limitations on perception, attention, memory and decision making, and the design of displays and intelligent machines to supplement them; allocation of function between human and machine.
This course applies physical systems theory to problems where the physical process is continuously distributed throughout a medium. The course contents include introduction to fieid and continuum problems, overview of approximate solution methods, including the finite difference method and the finite element method; identification of field variables; spatial discretization; modelling the field characteristics; formulations arid computer solutions.
Maximum Entropy Principle (MEP), Jaynes’ formalism, applications to thermo-dynamics, derivation of some common probability distributions on the basis of MEP. Spectral analysis and state estimation. The intent of the course is to spelt out a systems methodology for probabilistic systems from an information-theoretic point of view.
16:180 Course Descriptions
Beginning with a discussion of quantitative models of imaging systems, this course moves on to apply methods of linear systems theory and signal processing to image processing. Simple spatial domain techniques as well as spatial frequency domain methods and digital filter design for image enhancement and restoration are discussed. Special topics in application areas of machine vision (segmentation and feature extraction), remote sensing, medical imaging and vision models are presented throughout the term.
Prereq: SY DE 212 or equivalent
Women's Studies
Assistant Professor, Director L. Dorney, BA, MA (Louisville)
Members of the Women’s Studies Advisory Board
Professors
P. Forsyth, AB (Mount Holyoke), MA, PhD (Toronto), Recipient of the Distinguished Teacher Award
N.L. Patterson, BA (Washington)
S.M. Weaver, BA, MA, PhD (Toronto)
A. Wipper, BA, MA (McGill), PhD (California-Berkeley)
Associate Professors
J.A. Legault, BSc, MSc (Ottawa), PhD (Oklahoma), Chairperson of the Advisory Board
P.E. Bowers, BA (Queen's), MA, PhD (Illinois)
G. Brude-Firnau, Staatsexamen (Berlin), PhD (Yale)
C.M. Fernandez, Lic en Arq (Madrid), MA (Tulane), D Lit et Phil (Madrid)
V.F. Golini, BA (McMaster), MA (Colorado}), PhD (California-Berkeley)
M.C. Howard, BA, MA (Lancaster), PhD (Leicester)
B. Hyma, BS, MS (Madras), MA (Shef field), PhD (Pittsburgh)
J. Miller, BA, BLS (McGill}, MA, MPhil (Waterloo), PhD (York)
A.C. Minas, BA (Radcliffe), MA, PhD (Harvard)
N. Theberge, BA (Massachusetts), MA (Boston), PhD (Massachusetts)
A.F. Thompson, BA (Toronto), BTh (Huron), MA (Western Ontario), STM, PhD (McGill)
Assistant Professors
C.D. Cutler, BSc (Winnipeg), MSc, PhD (Carleton)
S.P. Gunz, BA, LLB, MA (Sydney), MBA (Manchester)
G. Losier, BA, MA (Otlawa), PhD (Paris)
A. Lubiw, BSc (Toronto), MMath (Waterloo), PhD (Toronto}
K.J. MacHardy, BA, Ma (Western Ontario), PhD (Berkeley)
G.O. Michalenko, BA, PhD (Saskatchewan)
W.B. Moul, BA, MA, PhD (British Columbia)
J.Z. Segal, BA (McGill), MA, PhD (British Columbia)
M. van Dijk, BA, MA (Wellington), PhD (Toronto)
S. Vethamany-Globus, BSc, MA, MSc (Madras), PhD (Toronto)
C.A. Weaver, BMus, MMus, DMus (indiana)
Research Associate and Lecturer R.L. Walker, BSc, MSc (Western Ontario)
Instructor J. Lowe, BSc (Carleton), Recipient of the Distinguished Teacher Award
Library. S. Bellingham, BA (Waterloo Lutheran), MLS (Western Ontario)
Independent Studies A. Dagg, BA, MA (Toronto), PhD (Waterloo), Academic Director
University of Waterloo
Since WS 200, the core course of the Joint Option, is an interdisciplinary introductory course to Women's Studies; this course is a team-taught effort. The participating lecturers from other disciplines of Art, Sociology, Psychology, Philosophy, Religious Studies, Economics, Political Science and English may vary each term.
Wilfrid Laurier University
Associate Professor J. Clarke, BA, MA, PhD (Waterloo)
Course Descriptions
W § 200
Introduction to Women's Studies An interdisciplinary survey which introduces students to the questions which have been posed concerning women's nature, roles, problems and accomplishments. Special emphasis will be given to the methodologies which a variety of disciplines in the Arts and Sciences use to examine these questions.