22 courses in the 1970–71 Undergraduate Calendar, read from the scanned original. The text comes from OCR, so check the scanned page before relying on a detail.
Department of Systems Design
H.K. Kesevan, B.Sc., B.E. (Mysore), M.S. (Illinois).
Ph.D. (Michigan State)
T.M. Fraser, M.D., Ch.B. (Edinburgh), M.Sc. (Ohio State), LM.C.C., F.A.C.P.M.
V.K. Handa, B.Sc. (Calcutta), B.Sc. (Eng.) (London), M.Sc. (Queen’s), M.Sc., Ph.D. (Waterloo
P.H. O’N.Roe, B.A.Sc. (Toronto), M.Sc., Ph.D. (Waterloo) G.N. Soulis, B.A.Sc. (Toronto)
M.L. Constant, B.A .Sc. (Toronto)
R.N. Howard, B.Sc. (London), Ph.D. (London)
P.L. Seeley, B.A.Sc. (Toronto)
P.H. Meincke, B.Sc. (Manitoba)
R.K. Ragade, B.Sc. (B.H.U. Varanasi), B.E. (1.1.Sc. Bangalore), M.Tech., Ph.D. (1.1.7. Kanpur)
D.D. Schleiermacher, Diploma (Technische Hochscule, Munich), Diploma (Hochschule fiir Gestaltung, Ulm)
S. Toida, B.S. (U. of Tokyo), M.S., Ph.D. (Mlinois)
B.L. Wills, B.A.Sc., M.A.Sc., Ph.D. (Waterloo)
C.K.G. Hahn
D.G. McGeary, B.Sc. (Manitoba), M.A.Sc. (Waterloo)
L.G. Innes, M.A. (Aberdeen)
D.J. Clough, B.A.Sc. (Toronto), M.B.A. (Toronto) W.C. Lennox, B.A.Sc., M.Sc. (Waterloo), Ph.D. (LeHigh)
Undergraduate Courses
Functions and limits, the derivative, Differentiation formulae, Applications to tangents, rates, extréma. Antiderivatives. The definite integral, fundamental theorem of integral calculus. Applications to area, volume, moments, fluid pressure, work, potential. Parametric and polar equations. Mean value theorem. Introduction to partial derivatives. Introduction to differential equations with applications.
Review of symbolic logic and set theory; fundamentals of probability theory, equiprobable spaces, conditional probability; determinants, matrix algebra, matrix inverse.
Criterion functions, constraints; introduction to linear programming, primal and dual problems, the simplex method; applications involving the use of digital computers.
Introduction to dynamic programming; game theory; the Monte Carlo method, search techniques; steepest descent and gradient methods; applications to transportation; production and inventory, and other systems problems.
Application of digital computers to the solution of equations; determinants and matrices; eigenvalue problems, numerical solution of ordinary differential equations; difference equations, numerical integration methods; error analysis.
22 Computer Simulation
of Systems
23 Computer Aided Design
31 Socio-Economic Systems 1
32 Socio-Economic Systems 2
33 Socio-Economic Systems 3
34 Socio-Economic Systems 4
41 Human Systems Engineering 1
42 Human Systems Engineering 2
43 Human Systems Engineering 3
44 Human Systems Engineering 4
50 Physics
§1 Physical Systems 1
Department of Systems Design
System modelling discrete and continuous system models; system simulation techniques, digital computer mthods, fundamentals of analog computation, time and magnitude scaling; analog computer simulation methods; digital simulation of analog computers; block oriented languages; advantages and disadvantages of digital and analog simulation techniques, introduction to system simulation using hybrid computers.
The design process; factors influencing design, phases of design; the role of analysis, optimization; computer oriented system models; simulation languages for digital computers; problem oriented computer languages; man-machine interaction in the design process; graphic input-output, time-sharing, conversational mode languages; design of problem-oriented computer languages.
Econometric models, structural models and locational or regional models.
Applications of the techniques and theories of operations research and economics to management systems.
Mathematical programming in Economics by physical analogies. Large-scale socio-economic systems modelling.
An extension of the materials of courses SD33 and SD53 to economic managerial systems.
The structure and function of man in relation to systems design; the relationship of biology and human physiology to engineering; biological concepts, biological variation; the cell as a microsystem; man as a complex of systems and subsystems.
The attributes, assets and liabilities of man within a man-machine system; man’s characteristics as a component of a system; the man-machine interface; display of information; problems of controls; workplace layout; human factors in systems design.
Problems of man within a man-machine environmental complex; the nature of human environmental stress; problems arising in association with environmental hazards.
Human aspects in design of a specific operational systems, e.g., urban system, ground transportation system, air transportation system, etc. A specific system will be examined each time the course is presented.
Vectors, rectilinear motion, plane motion, dynamics of particles, work and energy, linear momentum, rotational motion, statics, angular momentum, harmonic motion, gravitation, wave motion, sound waves.
Component models, interconnection models, system equations and their rank properties and solutions. These concepts are developed with respect to electrical systems.
52 Physical Systems 2
53 Physical Systems 3
54 Optimization Theory
60 System Design 1
61 Systems Design Workshop 1
62 Systems Design Workshop 2
63 Systems Design Workshop 3
64 Systems Design Workshop 4
65 Systems Design Workshop 5
66 Systems Design Workshop 6
71 Communications 1
72 Communications 2
81 Applied Electronics
Department of Systems Design 429
The subject matter is similar to SD51 except that the development is based on other physical systems such as structural and hydraulic system.
A study of multiparameter sensitivity analysis and probabilistic system analysis, with special reference to physical systems.
Dynamic programming, simulation models for co-state equations, two-point boundary value problems, applications.
A course for first year students encompassing several major areas, namely: design of experiments, digital computation, graphics, engineering synthesis and, introduction to Socio-Economic Systems. (7 hours weekly for two terms.)
A selection of open-ended design problems and seminars to accompany courses $D21, SD41, SD31.
A selection of open-ended design problems and seminars to accompany courses SD51, SD42, SD12.
A selection of open-ended design problems and seminars to accompany courses SD52, SD13, SD32, SD22.
A selection of open-ended design problems and seminars to accompany courses SD33, SD81, SD23.
A selection of open-ended design problems and seminars designed for final year undergraduate students.
A selection of open-ended design problems and seminars designed for final year undergraduate students.
Study of human and machine communication processes, communication theories as applied to education. Design of communication systems including languages and messages.
A continuation of SD71 with special emphasis on the theories of persuasion and coercion. The design of complex systems which imply a need for individual and social change will be studied.
Component models of various electronic devices. oscillation, amplification, modulation, detection, application to instrumentation.
D501 Human Factors
Man-machine systems; man-machine interface; presentation of information; design of displays and controls; workplace, layout, human factors in design.
D502 Ergonomics
Significance of ergonomics; man-machine-environment complex; physiology of work, fatigue, and boredom; environmental factors in industry (noise, vibration, vision, illumination, heat, cold, toxic chemicals, radiation); industrial, and automative safety. An undergraduate programme in Systems Design is currently under development and will be offered starting in the Fall semester of 1969.
Master’s Degree Programmes
Department of Systems Design
Graduate and Research Programme
The Department of Systems Design offers post-graduate programmes leading to the degrees of Master of Applied Science (M.A.Sc.) and Doctor of Philosophy (Ph.D.).
These programmes are founded upon the belief that the need for broadly educated individuals who are capable of solving interdisciplinary problems can be met uniquely by a programme which combines the philosophy of design with the discipline of system theory. These two fields of study form the core of a curriculum which is designed to prepare students not only for industry but for research work in such areas as transportation systems, electronic control, process control, water resources systems, computer aided design, etc.
The post-graduate programmes consist of research and project work under the direction of faculty members from the department, Department of Systems Design course work, and electives from other departments. In addition, the student, through the Industrial Research Institute, is provided with the opportunity for work and contact with a varied group of professional consultants who have backgrounds in areas germane to his studies.
At present research is being carried forward within the department in the following general areas.
Communications, including Computer Graphics Computer-Aided Design
Design Methodology and Morphology
Human Systems Engineering
Socio-Economic Systems
Systems Theory and Systems Engineering
The Master’s degree programmes in the Department of Systems Design are open to candidates who have demonstrated excellence in the completion of studies toward the Bachelor’s degree as a recognized university. Because of the breadth of the scope of research within the department it is not necessary that this prior work be within Engineering; candidates with degrees in areas such as Commerce, Communication, Economics, Mathematics and Computer Science, or Sociology may be admitted. Qualifying work is however, required of those students who do not have a background in Mathematics or the Science related to Engineering.
The objective of the Masters degree programme in Systems Designe is to demonstrate individual accomplishment of a high professional and academic standard. The candidate, with the 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 consists of at least five one term post-graduate courses together with a thesis, or at least eight one term post-graduate courses and an engineering project. Suitable courses offered by other departments, chosen with the advice of the student’s advisor, form a part of the programme, as appropriate.
Department of Systems Design
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 academic record and evidence of ability to pursue independent research. No candidate will be admitted to the Ph.D. programme before a faculty advisor willing to supervise the candidate’s research is appointed. The Ph.D. programme in Systems Design generally requires at least three years beyond the Master’s degree to complete.
Graduate Courses
Courses numbered in the 600’s are given on a regular basis. Courses numbered in the 700’s are offered as and when required.
Fundamental definitions, properties of circuits, paths in a graph, and Euler graphs. Properties of cutsets. Matrix representation of linear graphs and trees. Planar graphs and their duals. Nonplanar graphs, pseudo cuts and duals. Oriented graphs.
Topological formulas for general linear systems, synthesis of communication nets, system diagnosis. Applications to switching theory, sociology, economics, etc.
The design process, factors influencing design, phases of design, the role of analysis, optimization; the role of a model in design types of models, computer models, simulation languages; computer-implemented methods of analysis, problem-oriented languages; manmachine interface studies, developments in graphic input-output, time-sharing, conversational mode languages.
The theory of games and metagames is seen as the general mathematical theory of interactions between conscious “political” decision-makers. Wars, crises, negotiations and economic problems are seen as fields of application for this theory. The paradoxes and “dilemmas” of game theory are seen as leading to a breakdown of the concept of “rational” behaviour, and a positive approach, tested by experiments, is introduced as leading to useful applications to real-world problems.
Recently developed techniques for modelling real world conflicts as “games” are taught in a practical manner, illustrated with examples of actual applications. Practice in the techniques is obtained through project work. At the same time, mathematical explorations of the rationale behind the techniques is carried far enough to give the student a sound, non-mechanical understanding of their significance and limitations.
Extensive reading in the fields of human physiology and psychology; seminars and discussions in relation to assigned material; lectures and presentations on human environmental physiology, e.g., high altitude, underwater, sustained acceleration, or other pertinent topics. (Deferred grade will be given to those proceeding to SD643.)
Extension of SD 642; continued reading in human physiology and psychology, continued seminars; lectures and presentations on human physiology, e.g., sound and noise, heat and cold, impact acceleration, restrictive confinement, or other pertinent topics. Prerequisite: SD642.
Review of linear graph theory. Rank properties of the matrices of graphs. Formulation of system equations based upon terminal representations of components. Branch, chord, and mixed methods in the Laplace domain. Solution of large systems through subsystems. Applications in a number of diverse fields.
A continuation and generalization of SD651. Formulation of state models for discrete systems. Introduction to time domain sensitivity models.
A discussion of various forms of sensitivity of coefficients and their relationships. Sensitivity systems. Analysis of probabilistic systems through frequency and time domain models.
Generation of problem statements, system identification, generation of solution sets, feasibility determination. Construction of archetypes; sensitivity, compatability and stability analysis; behaviour prediction and solution communicaton.
Man-man and man-machine communications. Mass and political communications. A survey of the structure, functions, philosophy, process and effects of interpersonal and mass communications.
Problems of decisions, values and utility, basic models, decisionmaking to an individual, to a statistician, in certainty, risk and uncertainty. Models for preference analysis, utility theories, dominance in strategies. Classical and Bayesian statistical decision theory. Sequential and Markovian decision making problems. Decisionmaking in games.
Optimization problems through variational methods and mathematical programming. Optimal control for discrete time and continuous time systems. Maximum principle with equality and inequality constraints, feedback control, linear systems with quadratic criteria, the stochastic optimal control problem.
Statistical Models in Systems Engineering
741 785 801 803 804 807 808 809
Topics in System Theory
Topics in Probabilistic Systems
Topics in Design Morphology Planning of Design Processes
Human Communications
Seminar in Differential Games
Topics in Human Systems Engineering Optimal Control Theory 2
Oral Examination of the Research Thesis for the Ph.D.
Comprehensive Examination for the Ph.D. Language Requirement for the Ph.D. Engineering Project for the M.A.Sc. Research Thesis for the M.A.Sc. Research Thesis for the Ph.D.
434 § Professor Director of the School Professor Visiting Professor Professor Professor (part-time) Associate Professor (Geography and Planning) Associate Professor (Man-Environment and Planning) Associate Professor Assistant Professor Assistant Professor: Assistant Professor Lecturer Lecturer Note 1 Note 2 Note 3 Note 4 Note 5