60 courses in the 1986–87 Undergraduate Calendar, read from the scanned original. The text comes from OCR, so check the scanned page before relying on a detail.
SYDE 101TutorialF,S 1c 0.0
Systems Design first year students wil meet with a faculty member designated as their class professor. Performance in assignments, conceptual difficutties with courses, interrelation of coursework, later work and engineering practice will ba discussed. Non-credit courses.
Sets and functions, limits and continuity. Derivatives and differential formules.
Differentials. Extrema. Antidefivatives, indefinite integrals. Integration as the limit of a sum. Areas, volumes, transcen: dental functions. Methods and techniques of integration. Application of integrails.
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. Subepeces, independence. Basis of a vector space, coordinates of a vector. Determinants.
cofactors; adjoint and inverees of a matrix. Rank of matrix, linear transformation and partitioning. Eigenvaiues. 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.
SYDE 122Introduction to Computer SystemeS 36, 1T 0.5
Binary variables and basic logic ciwcuits; computer architecture and machine instructions for small cormnputers; assembly language programming; interfacing with peripheral equipment; current engineering applications of
The man-machine environment complex: the nature of the operational environment; human sensory processes, human information processing; moter function, human work, thermal reguiation and Metaboliem, skill, fatique; shift work and
SYDE 161Introduction to Systems Design EngineeringF 3CQL. 0.5
introduction to the ideas and techniques of systems analysis and design. Funda- Mentals 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 particies, rectilinear and curvilinear motion. Kinetics of particies, application to space mechanics. Energy and momentum methods. Systems of particles. Kinematics of rigid bodies, ‘plan motion. Vibrations.
SYDE 184Introduction to Chemical SystemsS 2C,1T 0.5
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 Chamistry - systems of nomenciature, functionality and common telations. 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 differentiat 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..
SYDE 212Applicable Mathematics for Systems Design 2F X,1T 0.5
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 résponse, frequency domain analysis of linear systems; sampling theory, stability, and linear filters.
SYDE 213Theory and Applications of Probability. W 3C,1T 0.5
Algebra of events, sample spaces and probability measures. Probabilistic models and measures of various appli-
cations. Random variables and expected
values. Discrete/continuous probability. Probability distributions. Joint probability. Functions of random variables. Applications in stochastic processes.
SYDE 214Theory and Applications of Statistics. F 30,17 0.5
A complete review of probability models. Goodness of fit. Estimation, tests of significance and confidence intervals. Application to normal modeis. 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 ail disciplines. Both the problems and the student's work are expected. to increase in sophistication through the Workshop course — 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.
SY DE 2839 W 3CA1T 05 Electricity, Magnetiem and Networks introduction to the fundamental laws of electricity and magnetism; properties of dielectrics, conductors and semiconductors and terminal characteristics of passive and active components; Kirchoftf'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.
SYDE 292Digital Circuits and Systems LaboratoryF 20,3 0.5
Digital systems design, an introduction to digital lagic 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.
SY DE 301302 SW 1C 00
Tutorial
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, fofowed by the construction, evaluation and applicability of various models in allocation, inventory, replacement, sequencing and related problems.
SY -DE 321 S 3CiT 05
Numerical Analysis and Computer Methods
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.
SYDE 322Computer Simulation of Systems-W 3C,1T 0.5
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.
SY DE B2 W 3C,1T 05 Mathematical Programming
Theory and algorithms for non-linear constrained optimization problams: 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.
SYDE 341Introduction to Occupational HygieneS 2C,1L 0.5
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.
SYDES1 § 3C1T 05
Physical Systems 2
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 modeiling of systems from other physical systems.
SYDE 362Algorithms for Computer-Aided Systems AnalysisW 3C 0.5
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 imple- -
ment them on the computers. A survey of the capabilities of existing programs for system analysis.
SY DE 3583 S 3C,1T 05 Introduction to Linear Control Systems
Application of systems theory to the problems of control. The course. integrates this study with an exposition of classical control theory.
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 limita: tion, tolerances, accuracy, surface finish
SYDE 366Aesthetic and Perceptual Aspects of DesignW 2C,1T 05 .~
Presentation and discussion of appro- Priate and possible methods for the designing of systems or artifacts in which aesthetic characteristics and visual form are primary requirements of. the design.
SYDE 372Introduction to Pattern RecognitionW 3C,1T 0.5
Pattern recognition as a process of data analysis. Pattern features as components in a random vector representation. Classification techniques: distance
An introductory course in engineering thermodynamics structured for students in Systems Design. Classical thermody: namics is presented as the systematic study of energy; its use, degradation, and waste. Appiications 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 engi- ~ neering 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.
SYDE 391Analog Circuits and Systems LaboratoryS 2C3L 0.5
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 clesignated 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 314; with > emphasis on stochastic operations research models. Topics will include: decision making under.wncertainty,.... queuing models. and related probabilistic techniques, feedback control, probabilistic inventory, competitive strategies and related topics.
Important concepts in graph theory, their prdperties, 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..
Issues and directions in computer aided design (CAD); fundamental principles and concepts required in design and building of CAD systems; architecture of CAD systems. The usefulness of areas such as knowledge based systems and expert systems will be discussed.
Machine intelligence The ojdective of this course is to introduce the students to current intelligent system concepts. Artificial intelligence systems in areas such as naturel language understanding, speech understanding, machine vision and leaming will be discussed. Methods and tools for * building expert systems will be introduced..
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.
SYDE 442Occupational and Environmental Systems SafetyW 2C,1T 0.5
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 investiga-
tion. 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- smachine systems with specific ‘emphasis on human physiology and bioengineering. The cell as micrg-system and man,as a complex of systems and sub-systems.
SYDE 453Time Domain Models for Physical SystemsF 3C 0.5
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.
Large Scale Engineering: Systems: Maxirnum Entropy Principle (MEP), 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 Mew. °°’
SYDE 466Technological Innovation and its ManagementW 3C 0.5
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 anatysis: slope-deflection, moment distribution, etc. Applications of Graph Theory to the analysis of structural systems.
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 Gigital 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
SYDE 525Computer-Aided Simulation and DesignF SC 0.5
System modeling and simulation techniques, tundamentals of analog computation, tite 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 prob-
SYDE 695Selected Topics for Socio-Economic Systems DesignF 3C 0.5
This course is intended for students who, with little 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 considerations are important. Both deterministic and probabilistic situations are discussed..
Significance of. argonomics; 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 chemicats, industrial safaty.
This course introduces students to a unified approach to Physical System Theory, using a graph-iheoretical 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.
SYDE 565Introduction to Design Organization and Systems BehaviourF 3c 0.5
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 anal-
ysis and generation of problem state-
ments, generation.of solution sets, feasi-
bility determination, selection of optimal solution, and communication. The process will be examined from the operational, organizational and behavioural view-points. 7
Course Descriptions ' 16,168
Women's Studies
Women's Studies
Women's Studies
Lecturer, Director of Women’s Studies L. Dorney, BA, MA (Louisville) J
J refers to Faculty Member at St. Jerome's College
Members of the: Women’s Studies Advisory Committee
Professors
P. Forsyth, AB (Mount Holyoke), MA, PhD (Toronto)
M.E. Thompson, BSc (Toronto), MSc, PhD (ilinois)
Associate Protassors
P.E. Bowers, BA (Queen's), MA, PhD (itt nis)
G. Brude-Fimau, Staatsexamen (Bertin), PhD (Yale)
C.M. ‘Femandez, Lic en Arq (Madrid), MA (Tulane), D Lit-et Phil (Madrid)
B. Hyma, 8S, MS (Madras), MA (Sheffield), PhD (Pittsburgh)
A.F. Thompson, BA (Toronto), BT (Huron), MA (Western Ontario), STM, PhD (McGill)
A. Wipper, BA, MA (McGill), PhD (Calitornia-Barkeley)
Assistant Professors.
S.0. Burt, BA, MA (Waterloo), PhD (York), Chairperson of the Advisory Committee.
M. van Dijk, BA, MA (Wellington), PhD (Toronto)
H.S. Fournier, BA (Toronto), MA, PhD (Waster Ontario) ‘
M.C. Howard, BA, MA (Lancaster), PhD (Leicester)
S.K. Johannesen, BA (Evangel College), MA, PhD (Missouri)
E. Kliiman, MA,‘ PAD (Toronto)
J.A. Legault, BSc, MSe- (Ottawa), PhD (Oklahoma)
G.O. Michalenko, BA, PhD (Saskat chewan) .
J. Miller, BA, BLS (McGill), MA, MPhit (Waterloo), PhD (York)
G. Niccoli, BA, MA, PhD (British , Columbia)
N. Theberge, BA (Massachusetts), MA (Boston), PhD (Massachusetts)
A.C. Zeller, BSc (Trent), MA, PhD (Westem Ontario)
hectuers .. “ . 7 S.P. Gunz, 8A, LLB, MA (Sydney), MBA _. (Manchester)
“FLL. Walker, &Sc, MSc (Western Ontario)
instructor . J. Lowe, BSc (Carleton), Recipient of the Distinguished. Teacher Award
Dean of Women position presently unfilled.
Dean of Students, Gonrad Grebel College G. Eby, BA (Goshen College)
Library S. Bellingham, BA (Waterloo Lutheran), MLS (Wester Ontario)
Independent Studies. A. Dagg, BA, MA (Toronto), PhD (Waterioo)
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 teamrtaught effort. The participating lecturers from other disciplines of Art, Sociology, Psychology.
- Philosophy, Religious Studies, __ : Economics, Political Science and English — may vary each term.
Wiitrid Laurier University
Associate Professors A. Guinsburg, BA (Valparaiso), AM, PhO (Standford)
Course Descriptions.
W S 200
introduction to Women’s Studies
An interdisciplinary survey which introduces students to the questions which have been posed coneerming women’s nature, roles, problems and accomplishments: Special emphasia will be given to the methodologies which a variety of disciplines in the Arts and Sciences use to examine these questions. *
W $:300 a
Seminar in Women’s Studies
A seminar in which students will
examine the origins and course of the
women’s movement from an interdiscipli- Mary perspective, with special attention
to topics such as the Canadian woman.
Women's Studies core courses and approved courses are listed in the inter disciplinary Options, Chapter 15.