65 courses in the 1983–84 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 K. Huseyin, MSc (istanbul), PhD (London), DSc (Eng.)(London), PEng
Professor, President of the University
D.T. Wright, BASc (Toronto), MS (Illinois), PhD (Cambridge), DEng (Carleton), LLD (Brock), DSc (Memorial), LLD (Concordia), PEng
Professor, Associate Dean, Undergraduate Studies
P_H.O'N. Roe, BASc (Toronto), MASc PhD (Waterloo), PEng
Associate Professor, Associate Chairman, Graduate Studies
K. Singhal, B Tech (1!T Kharagpur}, MS, EngScD (Columbia), PEng
Course Descriptions
Spanish
Systems Design Engineering
Associate Professor, Associate Chairman, Undergraduate Studies
M. Chandrashekar, BTech (1/T Kanpur), MASc, PhD (Waterioo), PEng
Professors .
T.M. Fraser, MB, ChB (Edinburgh), MSc (Ohio State), LMCC, FACPM, PEng
H.K. Kesavan, BSc, BE (Mysore), MS (Hinois), PhD (Michigan State), PEng
S.S. Sengupta, MA, DPhil (Caicutta)
G.N. Soulis, BASc (Toronto) PEng
D.A. Winter’, BSc (Queen's), PhD (Dalhousie), PEng
A.K.C. Wong, BSc, MSc (Hong Kong), PhD (Carnegie), PEng
Associate Professors
K.W. Hipel, BASc, MASc, PhD (Waterloo), PEng
M.E. Jernigan, SB, SM, PhD (Massachuetts Institute of Technology), PEng.
G.F. Rabideau, BA, MA (Wisconsin), PhD (Purdue)
G.J. Savage, BASc, MASc, PhD (Waterloo), PEng
P.L. Seeley, BASc (Toronto)
S. Toida, BS (Tokyo), MSc, PhD (iHinois)
B.L. Wills, BASc, MASc, PhD (Waterloo), PEng
Assistant Professors
C.K.G. Hahn, MASc. (Waterloo)
H.C. Shen, BMaths (Hons) (Waterloo), MSc (Toronto), PhD (Waterloo)
Adjunct Faculty
M.L. Constant, BSc (Toronto)
M. Kamel, BSc (Alexandria), MSc (McMaster), PhD (Toronto)
Faculty members holding cross
appointments to Systems Design Engineering from: Kinesiology
Course Descriptions
introductory Notes The numbering of Systems Design 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.
topics in applied mathematics computer systems socio-economic systems
human systems
physical systems
the design of engineering systems communication and information systems
engineering sciences
laboratories
“NOOO wOh =
om
c) the number in the 100’s place refers to the year in the program in which the student will encounter the course.
The majority of Systems Design courses are given on the basis of three formal lectures and one tutorial hour each week. The depariment 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 a sum. 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 Fortran, examples of efficient algorithms for engineering computations.
Binary variables and basic logic circuits; computer architecture and machine instructions for small computers; assembly language programming; interfacing 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.
Course Descriptions 427 Systems ‘Design Engineering
Basic concepts of mechanics, vectors, statics of particies. 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, plan 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 nomenclature, functionality and common relations. Important systems of natural and synthetic polymers and biomotecules.
Systems Design second year students will meet a faculty member designated as their class professor. Performance in assignments, conceptual difficulties with courses, inter-relation 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 function 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.
A complete 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 magentism; properties of dielectrics, conductors and semiconductors and terminal characteristics of passive and active components.
Kirchhoff's laws; step response of first and second order networks; sinusoidal steady state analysis using phasors. Applications.
Digital systems design, an introduction to digital logic with emphasison 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.
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.
System modelling, system simulation techniques, digital computer methods, fundamentals of analog computation, digital simulation and analog computers; block-oriented languages, introduction to systems simulation using hydrid computers.
Theory and algorithms for non-linear canstrained optimization problems: convex set, convex functions, convex programming, Kuhn-Tucker conditions, duality, quadratic programming, quasi- Newton methods, geometric programming, dynamic programming.
Course Descriptions
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.
Man-machine function and human reliability; human stress and adaptation; work and skill in industry and the operational environment; human factors in industrial safety and occupational hygiene.
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.
Techniques for tree selection, manipulation of topological information, evaluation of the exponential function of a matrix, etc. The emphasis is on the algorithms but students will be expected to implement them on the computers. A survey of the capabilities of existing programmes for system analysis.
Application of systems theory to the probiems 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. Concepts 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. Costs in manufacturing.
Systems Design Engineering
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) decisiontheory, 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. Ctassical 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.
Fundamental concepts in systems using fiuid 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.
A introduction to the understanding of the properties and applications of engineering materiais. 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. Inputoutput 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 the 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 modets and related probabilistic techniques, feedback control, probabilistic inventory, competitive strategies and related topics. -
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 floor problems.
Course Descriptions 429 Systems Design Engineering
The design process; computer-oriented system models; simulation languages for continuous and discrete systems; man-machine interaction; design of problem-oriented computer languages.
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.
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 realworld applications of all the foregoing concepts. .
(eo) pati land Envir tal Systems Safety
Goncept of system safety and safety as a system component in design and industry. Liabitities 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 asa complex of systems and sub-systems.
Requirements of human measurement and its role in design. Techniques of environmental measurement with respect to noise, vibration, heat, lighting, air sampling, etc., and selected studies in the methods of anthropometry.
State equations for two-terminal component systems; time varying and non-linear components; analytical sotutions for state models, numerical and analogue methods for solution.
This course applies physical systems theory to problems where the physical process is continuously distributed throughout a medium. The course contents inciude introduction to field 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 and computer solutions; applications of multi-terminal representations.
Jayne's formalism, applications
to thermodynamics, derivation of some common probability distributions on the basis of MEP, spectral analysis
and state estimation. The intent of the course is to spell out a systems methodology for probabilistic systems from an information-theoretic point of view.
A continuation of the Systems Design Workshop sequence for fourth year students.
Factors influencing technotogical innovation. The environment for technological innovation in Canada. Technological innovation in the corporations. The role of governments and universities. International comparisons.
Structural forms. Structural requirements. Statically determinate and indeterminate structures. Basic theorems of linear elastic structures. Methods of analysis: slope-deflection, moment distribution, etc. Application of Graph Theory to the analysis of structural systems.
The nature and design of machinemediated human communication systems. Disptays, computer graphics, computer-aided instruction and mass communication media (film, T.V., radio, print). A systems approach will be adopted with special attention to the socio-economic aspects of such systems..
System modelling and simulation techniques, fundamentals of analogue computation, time and magnitude scaling; continuous system simulation on the digital computer; advantages and disadvantages of digital and analogue simulation techniques; discrete-event system simulation on the digital computer; system simulation; examples and problems.
This course is intended for students who, with little prior background, are interested in enlarging their knowledge of Systems Design. The emphasis is on quantitative methods applicable to the design of engineering systems wherein the criteria concerning social, environmental and economic considerations are important. Both deterministic and probabilistic situations are discussed.
Course Descriptions Systems Design Engineering Urban & Regional Planning
Man-machine systems concepts; functional man-machine interfaces; presentation of required operating information; control/disptay design parameters; workspace configuration and dimensioning; human engineering analysis and simulation; human performance experimentation and human engineering measurements during systems R&D evaluation.
Significance of ergonomics; manmachine-environment complex; physiology of work, human information processing, fatigue, circadian rhythms and the health consequences of shift work; environmental factors in industry; noise, vibration, vision, illumination, heat, cold, toxic chemicals, industrial safety. °.
This course introduces students to a unified approach to Physical System Theory, using a graph-theoretical modelling technique. Specific topics include; component modelling, the system graph and its matrices, system modelling by the branch, chord and branch-chord methods, power, energy, Telegen’s theorem, multi-terminal representations, piecewise analysis of systems through subsystems, multiport representations, formulation and solutions of state models, introduction to advanced topics.
Generation of problem statements, system identification, generation of solution sets, feasibility determination. Construction of archetypes; sensitivity, compatibility and stability analysis, behaviour prediction and solution communication.
The basic aim of this course is to introduce the student to the study and understanding of systems and their general behaviour, to broaden systems concepts and the techniques used in applying these concepts in a variety of fields. The fields chosen cover biological, ecological, social, operational, economic and manmachine systems. A number of case Studies are conducted.
School of Urban and Regional