71 courses in the 1976–77 Undergraduate Calendar, read from the scanned original. The text comes from OCR, so check the scanned page before relying on a detail.
Professor, Chairman T. M. Fraser, M.B., C.B. (Edinburgh), M.Sc. (Ohio State), L.M.C.C., F.A.C.P.M., F.A.M., P.Eng.
Professor, Associate Dean, Undergraduate Studies G. N. Soulis, B.A.Sc. (Toronto), P.Eng.
Professor, Associate Chairman K. Huseyin, M.Sc. (Istanbul), Ph.D. (London)
Professors.
H. K. Kesavan, B.Sc., B.E. (Mysore), M.S. (Illinois), Ph.D. (Michigan State), P.Eng.
L. March, B.A., Dip.Arch., M.A. (Cambridge)
P. H. O'N.Roe, B.A.Sc. (Toronto), M.Sc., Ph.D. (Waterloo), P.Eng.
Associate Professors
M. L. Constant, B.A.Sc. (Toronto)
P. H. Meincke, &.Sc. (Manitoba), P.Eng.
G. F. Radibeau, B.A. (Wisconsin), M.A. (Wisconsin), Ph.D. (Purdue)
P. L. Seeley, B.A.Sc. (Toronto)
K. Singhal, B.Tech. (Kharagpur), M.S. (Columbia), Eng. Sc.D. (Columbia)
B. L. Wills, B.A.Sc., M.A.Sc., Ph.D. (Waterloo), P.Eng.
D. A. Winter', B.Sc., M.Sc.(Queen’s), Ph.D. (Dalhousie), P.Eng.
Assistant Professors
M. Chandrashekar, B.Tech. (1.1.T. Kanpur), M.A.Sc., Ph.D. (Waterloo), P.Eng.
C. K. G. Hahn, M.A.Sc. (Waterloo)
D. Kochhar, B.Tech. (1.1.T. Kharagpur), M.A.Sc., Ph.D. (Waterloo), P.Eng.
R. K. Ragade, B.Sc. (B.H.U. Varanasi), B.E. (1.1.Sc. Bangalore), M.Tech., Ph.D. (1.1.T. Kanpur)
F. Sengupta, B.A.Sc. (Cairo), Dipl. (Einsham U.), Dipl. (Cairo), M.Sc. (Case)
S. Toida, B.S, (Tokyo), M.A.Sc., Ph.D. (Illinois)
Instructors
K. W. Hipel, B.A.Sc., M.A.Sc., Ph.D. (Waterloo)
Y.S. Ho, B.Sc. (Taiwan), M.Sc. (Toronto), Ph.D. (Waterloo)
G. J. Savage, B.A.Sc., M.A.Sc. (Waterloo)
Visiting Associate Professor H. V. Sahasrabudhe, B.Tech. (1.1.T. Bombay), M.Tech. (LIT. Bombay), Ph.D. (1.41,T. Kampur)
Faculty members holding across appointments as shown 1 Kinesiology and Systems Design
Course Descriptions Systems Design
Undergraduate Course Descriptions
Systems Design first year students will meet with 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
Sets and functions. Limits and continuity. Derivatives and differential formulas. Differentials. Extrema. Anti-derivatives, indefinite integrals. Integration as the
limit of a sum. Areas, transcendental functions.
Multi-variable functions, partial derivatives, multi-variable differentials, multi-variable integrals.
Techniques of systematic integration, applications. of integration. Sequences, series, infinite series, power series, with applications.
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 a matrix, linear transformation and partitioning. Eigenvalues.
Algebra of events, sample spaces and probability measures. Probabilistic models and measures of vartous applications. Random variables and expected values. Discrete/continuous probability. Probability distributions. Joint probability. Functions of random variables. Applications in stochastic processes.
Introduction to electronic digital computers; hardware and software organization, basic features of Fortran, examples of efficient algorithms for engineering computations.
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, perception, human information processing; motor function; human work, skill, fatigue; problems of acoustic noise, vibration, heat, cold; needs of ventilation lighting.
Introduction to the ideas and techniques of systems analysis and design. Data collection and handling, statistical methods, systems representation, modelling and simulation, allocation of function and interface design, systems dynamics. Examples: container handling, air traffic control, telephone systems, etc.
The principles of engineering design culminating in a project. Specific topics introduced are: The systems approach, principles of planning, innovation and the creation of design solutions, physical, economic and financial feasibility, solution evaluation and selection. Value and utility, simulation, modelling and optimization.
Statics of particles, vectors, equilibrium of rigid bodies, centroids, the analysis of structures, forces in beams and cables, friction and moments of inertia.
Rectilinear motion, plane motion, dynamics of particles, work and energy, linéar momentum, rotational motion, angular momentum, harmonic motion, gravitational, wave motion.
Fundamentals of Graphics with emphasis on basic techniques required for visual communication and computation. Use of graphics as an aid to idea generation in design. The course includes projects designed to enhance the creative abilities of the student.
Electric charge, Coulomb’s Law of Electrostatic Forces; Electric fields, Gauss’ Law, conductors and electric fields; Electric Potential; Capacitance, dielectrics. Magnetic fields, flux of magnetic induction; current, resistance and electric circuits; Induced EMF, inductance, Lenz’ Jaw, Faraday’s law; magnetism in matter, etc.
The first course in an integrated lab programme sequence. An introduction to the overall programme is followed by a review of lab equipment, procedure and usage. The remainder of the course is an introduction to engineering measurement techniques.
1] hr. seminar, 2 hrs. lab per week
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
Course Descriptions 403 Systems Design
(Also listed as Mathematics 61)
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. Fourier series. Fourier transforms and applications.
(Also listed as Mathematics 62)
Laplace transforms. Solution of ordinary linear differential equations by Laplace transforms, applications. Residue calculus and its relation to inverse Laplace transforms. Functions of the complex variable. Difference equations. Z transforms.
(formerly SD 211)
Sample statistics and their distributions. Order statistics and their distributions. Decision making under uncertainty. Statistical inference: Estimation and testing statistical hypothesis. The theory of the least squares and regression analysis. Selected applications.
(formerly SD 222)
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.
Component models, interconnection models, system 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 selected to cover all disciplines. Both the problems and the student’s work are expected to increase in sophistication through the course.
Statics and resistance of materials, Equilibrium of particles, rigid bodies and deformable bodies. Vector fields, Bay streams. Stress-strain relationships. Elastic and inelastic behaviour of prismatic members subjected to axial, shearing, torsional and flexural deformations.
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 connection with information theory are described.
‘*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.
An introduction to the chemistry of amino acids, peptides, proteins, nucleic acids, carbohydrates and lipids. An introduction to polmer chemistry, isomerism, chain-growth polymerization and co-polymerization, ionic polymerization.
A continuation of 192 for second year students. The first part of the course will cover the general concept of transducers and specifically the use of some sensors used in the human systems experimental environment. The second part will emphasize the conduct of experiments using human subjects.
T hr. seminar, 2 hrs. lab per week
A continuation of 291 for second year students. The first part will cover signal-conditioning, noise and recording techniques and physical systems sensors. The second part will cover digital logic with the emphasis on the use and characteristics of integrated circuits and the design of sub-systems using digital components.
l hr. seminar, 2 hrs. lab per week
Systems Design third year students will meet witha 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
“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.
Course Descriptions Systems Design
System modelling, system simulation techniques, digital computer methods, fundamentals of analog computation, digital simulation of analog computers; block-oriented languages; introduction to system simulation using hybrid computers.
Boolean algebra, number systems and data representation; flip flop and registers; computer operation, control unit, instruction sequencing, arithmetic unit; storage organization; operating systems, compilers, assemblers, multiprogramming, multiprocessing and time-sharing.
Theory and application of linear programming, techniques: simplex, the transportation and assignment problems, duality and degeneracy. Industrial applications to production and inventory control. Selected problems from nonlinear and dynamic programming.
Analysis of experimental optimum-seeking techniques. Studies include deterministic and stochastic problems. Topics include: single variable search, simultaneous and sequential search, simulations and sequential search, geometry of multidimensional response surfaces and methods of steepest ascent; regression analysis.
Neuroendocrine system and the human response to stress (Adaptation); sustained acceleration, weightlessness and restrictive confinement; hypobarism, hypoxia, and high altitude; hyperbarism and underwater environments; impact acceleration and automotive safety; toxic atmospheric contamination.
- 351 Physical Systems 2
The subject matter is similar to SD252 except that the development is based on other physical systems such as structural and hydraulic systems.
(formerly SD 354)
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 analaysis.
State equations for two-terminal component systems; time varying and non-linear components; analytical solutions for state models, numerical and analogue methods for solution.
year students.
362 Systems Design Workshop 4
The generation and forming of surfaces. Concepts of 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 limitations, tolerances, accuracy, surface finish and economics. Cost in manufacturing.
Presentation and discussion of appropriate and possible methods for the design of systems of artifacts in which aesthetic characteristics and visual form are primary requirements of the design.
A general introduction to the science of materials; To demonstrate some.of the important relationships existing between the structure of a material and its properties, and to consider some of the ways in which materials are shaped, formed and fabricated into articles for everyday use.
Component models of various electronic devices, oscillation, amplification, modulation, detection, application to instrumentation.
The manipulation and arrangement of defined spaces with emphasis on the interrelation between spatial geometry and spatial perception; the creation of the perceived spatial patterns or designs by the use of module, proportion, rhythm, and symmetry in spatial arrangement; theories of spatial perception, spatial packing and their contribution to the problem of creating spatial arrangements.
This course serves as a focus for the complete lab programme sequence. The emphasis is on the design of major experiments which are themselves complete systems requiring the application of previously acquired knowledge in the areas of sensing, synthesis, control, measurement and evaluation. At least one experiment will be drawn from the digital control of computer control environment and one from the analog control environment. 2 hrs. lab per week.
Course Descriptions 405 Systems Design
Systems Design fourth year students will meet with a faculty member designated as their class professor. Conceptual difficulties, the inter-relation of course work and engineering practice will be discussed.
Non-credit courses
A continuation of $D311, with emphasis on Stochastic Operations Research Models. Topics will include; Decision making under uncertainty, queuing models and related probabilistic techniques, feed back control, probabilistic inventory, competitive strategies and related topics.
Readings suited to individual interests of the students, and aimed at solving special project problems students may select.
The design process; computer-oriented system models; simulation languages for continuous and discrete systems; man-machine interaction; design of problem-oriented computer language.
Economics in the engineering design environment. The economics of resource assignment to research and development, applications of such techniques as benefit/cost and cost/effectiveness analysis to engineering design projects; economic problems with product life, obsolescence, design cycles, etc.
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.
The application of non-quantitative game theory to the analysis of conflict, particularly conflicts arising in the implementation of design projects, the general characteristics, (through Metagame theory) and specific applied techniques for analyzing conflicts between parties each with separate objectives.
The structure and function of man in relation to systems design; the relationship of biology and human physiology to engineering; biological concepts, biological variation. Introductory concepts, biological variation. Introductory concepts in molecular biology and genetics; the cell as a micro-system; the role of water transport; man as a complex system.
(formerly SD 342)
The Man-machine interface; communication and the design of displays (visual, auditory, kinesthetic, tactile, etc.); human motor activities, speed, accuracy, strength and force; functional operation and the design of controls; illumination, colour, and design of workplaces.
of Physical Systems
Multi-terminal representations, coupled 2-terminal
components, tree transformations, solution of large
systems through subsystems, two-ports and their "interconnection, equivalent 2-terminal component
systems.
Application of Systems theory to the problems of control. The course integrates this study with an exposition of classical control theory.
Applications of systems theory to the analysis of hydraulic systems; particular emphasis is given to the analysis and design of fluid distribution systems.
Application of systems theory to large power distribution networks and electromechanical energy conversion systems.
Acontinuation of the Systems Design Workshop for fourth year students. The emphasis will be on an individual problem chosen from the student's technical option area.
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. Principles of Design.
Photo-instrumentation; high and low speed data recording techniques and theory; submicrosecond shadow-graphs; photomicrography and photomacrography; theory and visual techniques of photographing physical models; visual perception in engineering design; pulsed visual teaching and learning methods.
Course Descriptions Systems Design
The nature and design of machine-mediated human communication systems. Displays, computer graphics, computer-aided instruction and mass communication media (Film, T.V., radio, print). A system approach will be adopted with special attention to the socio-economic effects of such systems.
Fundamental definitions, properties of circuits, paths a
graph, and Euler graphs. Properties of cutsets. Matrizx
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.
§21 Analog and Hybrid Computing Systems
Theory and operation of analog computers, parallel logic; digitally simulated analog computers; introduction to hybrid computing.
A detailed study of two major simulation languages, one continuous (CSMP or equivalent) and one discrete-event (GPSS or equivalent). Simulation projects.
Industrial and Non-Industrial facilities. Networks, locational analysis, physical layout and spatial analysis, allocation of facilities, criteria for optimality, utilization and occupation, various operations research techniques for the analysis and synthesis of networks of facilities, n-job, m-machine problem.
Human function in systems; man’s capacities and limitations as a component of a complex system; assignment of operations to man and machine, equipment design in relation to human capacity; training programmes, procedures, and devices; task description and analysis.
Man-machine systems; man-machine interface; presentation of information; design of displays and controls; workplace layout, human factors in design.
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.
Presentation and discussion of appropriate and possible methods for the design of systems or artifacts in which manufacturing processes, material properties and distribution processes constrain the design.
Course Descriptions Systems Design
+ 407