61 courses in the 1985–86 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) DS¢ (Memorial), LLD
(Concordia), PEng
Professor, Associate Dean.
Undergraduate Studies, Faculty of
Engineering
P.H.O'N. Roe, BASc (Toronto), MASc, PhD (Waterloo), PEng
Associate Professor, Associate Dean for
Computing, Faculty of Engineering
B.L. Wills, BASc, MASc, PhD (Waterloo), PEng
Associate Professor, Associate
Chairman, Graduate Studies
G.J. Savage, BASc, MASc, PhD (Waterloo), PEng
Associate Professor, Associate
Chairman, Undergraduate Studies
M. Chandrashekar, 8Tech (indian inst tute of Technology, Kanpur), MASc, PhD (Waterloo), PEng
Professors
W.K. Adrian,? Dipt-ing, Dr-ing (Darms-
. tadt), Dr habit (Karlsruhe) T.M. Fraser, MB, ChB (Edinburgh), MSc (Ohio State), LMCC, FACPM, PEng
H.K. Kesavan, BSc, BE (Mysore), MS (itinois), PhD (Michigan State), PEng
S.S. Sengupta, MA, DPhil (Calcutta)
K. Singhal,’ BTech (indian Institute of Technology, Kharagpur), MS, EngScD (Columbia), PEng
GN. Soutis,? BASc (Toronto), PEng
D.A. Winter,* BSc (Queen's), PhD. (Dathousie), PEng
A.K.C. Wong, BSc, MSc (Hong Kong), PhD (Camegie), PEng
Associate Professors
C.K.G. Hahn, MASc (Waterloo)
K.W. Hipe!, BASc, MASc, PhD (Waterloo), PEng
M.E. Jernigan, SB, SM, PhD (Massachusetts Institute of Technology), PEng
GF. Rabideau, BA, MA (Wisconsin), Phi (Purdue) .
P.L. Seeley, BASc (Toronto)
Systems Design Engineering
Assistant Professors P.H. Calamai, BASc, MASc, PhD (Waterloo) .
M. Kamel, BSc (Alexandria), MSc
(McMaster), PhD (Toronto)
J.J. Kay,5 BASe (McGill), MASc, PhD (Waterioo)
H.C. Sheri, BMath (Waterloo), MSc (Toronto), PhD (Waterloo)
Adjunct Faculty
J.W. Chinneck, BASc, MASc, PhD (Waterloo)
M.L. Constant, BSc (Toronto)
N.M. Fraser, BASc, MASc, PhD (Waterloo)
Adjunct Lecturer D.B. Couch, BASc (Waterloo), MA (Toronto) .
Faculty Member of Systems Design Engineering holding cross appointments to.
"Electrical Engineering
Faculty Members holding cross appointments to Systems Design Engineering from.
2Schoo!l of Optometry 3Management Sciences . Kinesiology
5Man Environment Studies
Course Descriptions Introductory Notes
1. 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.
7 topics in applied mathematics
2 computer systems
3 socio-economic systems 4 human systems
5 physical systems
6 the design of eng - 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.
Systems Design Engineering
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 jin assignments, conceptual difficulties with courses, interrelation of coursework, later work and engineering practice will be discussed. Non-credit courses.
Sets and functions, timits 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 computation.
Binary variables and basic logic cirouits.
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, coid; needs of ventilation and lighting, information displays and control systems.
Engineering . 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.
SY. DE 181 F 3C,1T 0.5
Statics
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, plan motion. Vibrations.
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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 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.
A complete review of probability modeis.
Goodness of fit. Estimation, tests of significance and confidence intervals. Application to normal models. Simple
Physical Systems 1
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 flaw. 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, 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.
Introduction to numerical techniques for engineering problems. Topics covered include: source of computational error; solutions to linear and non-linear equations; matrix factorization; eigensystems; numericat interpolation and approximation; numerical integration solution of ordinary and partial differential equations. Introduction to data structures and their application.
System modelling, system simulation techniques, digital computer methods, fundamentals of analog and computation, digital simulation and analog computers; block-oriented languages, introduction to systems simulation using hybrid computers.
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.
Course Descriptions Systems Design Engineering
SYDE33 S X 05
Applied Statistics
Multiple regression analysis. Assumptions, use of indicator variables, variable selection techniques, analysis of variance. Introduction to experimental design, including block designs, factorial
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, evaiuation 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 programs for System analysis.
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.
SY DE 34 W 3C,1T 05 Manufacturing Science
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 fimitation, tolerances, accuracy, surface finish and economics. Cost 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) 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 contro! or computer control environment and from the analog control environment.
Systems Design fourth year students wilt meet with a faculty member designated as their class professor. Conceptual difficulties, the interretation 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.
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 electricat 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.
Issues and directions in computer aided design (CAD); fundamental principles and concepts required in design and building of CAD systems; architecture of CAS systems. The usefulness of areas such as knowledge based systems and expert systems will be discussed.
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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 real-world applications of all the foregoing concepts.
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.
Requirement of human measurement ~ and its roles in design. Techniques of environmental measurement with respect to noise vibration, heat, lighting, air sampling, etc., and selected studies in the methods of anthropometry.
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State equations for two-terminal component systems; time varying and nonlinear components; analytical solutions for state models; numerical and analog methods for solution.
This course applies physical systems theory to problems where the physical process is continuously distributed throughout a medium. The course contents include 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.
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Technological innovation and its Management
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 requirements. Statically determinate and indeterminate structures. Basic theorems of linear elastic structures. Methods of analysis: slope-deflection, moment distribution, etc. Applications of Graph Theory to the analysis of structural systems.
The nature and design of machinemediated human communication systems. Displays, 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 analog computation, time and magnitude scaling; continuous system simulation on the digital computer; advantages and disadvantages of digital and analog simulation techniques; discrete-event system simulation on the digital computer; system simulation; examples and problems.
This course is intended for students who, with fittle prior background, are interested in enlarging their knowledge of Systems Design. The emphasis is on the quantitative methods applicable to the design of engineering systems wherein the criteria concerning social.
_ environmental and economic considera-
tions are important. Both deterministic and probabilistic situations are discussed.
Man-machine systems concepts; functional man-machine interfaces; presentation of required operating information; control/display 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.
Course Descriptions Systeme Design Engineering
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, mutti-terminal representations, piecewise analysis of systems through subsystems, multiport representations, formulation and solutions of state models, introduction to advanced topics.
The basic aim of this course is to introduce the student to the study and understanding of systems, and to broaden systems’ concepts and the techniques used in applying these concepts in a variety of fields. The course will also introduce students to the process of design, that is need analysis and generation of problem statements, generation of solution sets, feasibility determination, selection of * optimal solution, and communication. The process will be examined from the operational, organizational and behavioural viewpoints.