73 courses in the 1974–75 Undergraduate Calendar, read from the scanned original. The text comes from OCR, so check the scanned page before relying on a detail.
673
Department of Systems Design T.M. Fraser, M.B., Ch.B.(Edinburgh), M.Sc.(Ohio State), L.M.C.C., F.A.C.P.M., F.A.M. P.H. O’N. Roe, B.A.Sc.(Toronto), M.Sc., Ph.D.(Waterloo)
HK. Kesavan, B.Sc., B.E(Mysore), M.S(Illinois), Ph.D.(Michigan State) . GN. Soulis, B.A.Sc.(Toronto)
MLL. Constant, B.A.Sc.(Toronto) ; R.N. Howard, B.Se.(London), Ph.D(London) . K. Huseyin, M.Sc.(Istanbul), Ph.D(London) P.H. Meincke, B.Sc.(Manitoba) M.A.(Wisconsin), Ph.D(Purdue) GF. Rabideau, B.A.(Wisconsin), P.L. Seeley, B.A.Sc.(Toronto) BLL. Wills, B.A.Sc., M.A.Sc., Ph.D.(Waterloo)
M. Chandrashekar, B.Tech.(1.1.T. Kanpur), M.A.Sc., Ph.D. (Waterloo) C.K.G. Hahn, M.A.Sc.(Waterloo) R.K. Ragade, B.Sc.(B.A.U. Varanasi), B.E(1.1.Sc. Bangalore), M.Tech., Ph.D(IU.T. Kanpur) D.D. Schleiermacher, Diploma(Technische Hochschule, Munich), Diploma(Hochschule fuer Gestaltung, Ulm) 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.
G.J. Savage, B.A.Sc., M.A.Sc.Waterloo) M.C. Volker, B.A.Sc., M.A.Sc.(Waterloo)
F.H. Branin, ‘Jr. B.A.(Middletown, Conn.), M.A., Ph.D. (Princeton)
RS. Frew, B.Arch.(Manitoba), M.A.Sc., Ph.D.(Waterloo)
Undergraduate Courses
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.
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
Symbolic logic: Matrices, matrix algebra, introduction to functions of a matrix. Matrix partitioning. Vectors and vector spaces. Subspaces, independence. Spanning sets, basis of a vector space, coordinates of a vector. Permutations. Determinants and their properties. Cofactors, adjoint and inverse of a matrix. Rank of a matrix, linear transformation and partitioning. Eigenvalues.
Algebra of events, sample spaces and probability measures. Construction of probabilistic models and measures for various applications. Conditional probability and Bayes Theorem. Random variables and expected values. Discrete/ continuous probability. Probability distributions. Joint probability. Functions of random variables. Sums of random variables, limit problems. Applications in stochastic processes, time statistics, information theory, stochastic (probabilistic) modeling in systems.
Introduction to electronic digital computers; hardware and software organization, basic features of Fortran, examples of efficient algorithms for enginccring 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.
‘161 Systems Behaviour
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 from various areas such as container handling, air traffic control, telephone systems, work group systems, local government, respiratory systems, economics of ship building, etc.
An introductory course on the principles of engineering design culminating in a project involving the solution of a relevant need. Specific topics introduced are: The systems approach, principles of planning, the statement of a design problem and the flow of information. Innovation and the creation of ‘design solutions, physical, economic and financial feasibility, solution evaluation and selection. Value and utility, simulation, model- | ling and optimization.
151)
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, linear momentum, rotational motion, angular momentum, harmonic motion, gravitational, wave motion.
Department of Systems Design
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.
281)
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’ law, Faraday’s law; magnetism in matter, transformers, motors, generators, introduction to basic electronic devices.
An integrated laboratory sequence stressing human sensing and an introduction to electronic measurement techniques. Part of the material will be chosen to accompany SD 184 Electricity and Magnetism.
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.
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.
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.
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.
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 to
which the student becomes exposed each year. Both the problems and the student’s work are expected to increase in sophistication and complexity in accordance with the student’s progress through
’ the course.
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.
Statics and resistance of materials, Equilibrium of particles, rigid bodies and deformable bodies. Vector fields, Bay systems. Stress-strain relationships. Elastic and inelastic behaviour of prismatic members subjected to axial, shearing, torsional and flexural deformations.
The scope and limitations of thermodynamics. Macroscopic approach to energy, work and the First law. Introduction to statistical thermodynamics and the microscopic description of energy, work and the First Law. The fundamental energy equation. The Second Law of Thermodynamics, principle of increase of entropy limiting cycle efficiencies, criteria for equilibrium. Thermodynamic potentials. Irreversibility, friction, and availability. Phase equilibrium, phase change, mixtures. The steady flow energy equation and applications. The evaluation of state functions. .
“Fundamental concepts in Systems using fluid flow. Basic treatment of statics, kinematics and dynamics of fluids. Conservation laws. Similarity and dimensional analysis. Brief introductions into 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 polymer chemistry, isomerism, chain-growth polymerization and co-polymerization, ionic polymerization. '
A continuation of SD192 for second year students. The emphasis will be on electronic measurement techniques and associated transducers. Some of the material will be chosen to accompany SD281.
Systems Design third 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.
Department of Systems Design
Introduction and background to the application of scientific models to the study of operational problems. This course is
_ intended to present an integrated view of the “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, discrete and continuous system models; system simulation techniques, digital computer methods, 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.
Boolean algebra, number systems and data representation; flipflops and registers; computer operation, control unit, instruction sequencing, arithmetic unit; storage organization; operating systems, compilers, assemblers, multiprogramming, mutiprocessing 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.
Optimum seeking methods: analysis of experimental optimumseeking 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 with a systematic treatment of the analysis of multiple classifications involving fixed and random effects and crossed and nested variables of classification. Applications of statistical methods to the efficient design of industrial experiments with considerations to suitability.
Neuroendocrine system and the human response to stress (Adaptation); sustained acceleration, weightlessness and restrictive confinement; hypobarism, hypoxia, and high altitude; hyperbarism and under-water environments; impact acceleration and automotive safety; toxic atmospheric contamination.
The subject matter is similar to SD252 except that the development is based on other physical systems such as structural and hydraulic 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 computer. The course includes a survey of the capabilities of existing programmes for system analysis.
State equations for two-terminal component systems; time varying and non-lienar components; analytical solutions for state models, numerical and analogue methods for solution.
A continuation of the Systems Design Workshop for third 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. The elements of cost in manufacturing. Determination of manufacturing times and cost of production.
Presentation and discussion of appropriate and possible methods for the design of systems or artifacts in which aesthetic characteristics and visual form are primary requirements of the design.
A general introduction to the science of materials: so providing a basic understanding of the scientific principles involved and an introduction to the wide variety of materials available to the designer today. 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 our everyday use.
Component models of various electronic devices, oscillation, amplification, modulation, detection, application to instrumentation.
391 Systems Design Laboratory 3
A continuation of SD291 for third year students.
392 Systems Design Laboratory 4
401 Tutorial
Systems Design fourth year students will meet with a faculty
402 Tutorial
member designated as their class professor. Conceptual difficulties, the inter-relation of course work and engineering practice will be discussed.
Department of Systems Design
A continuation of SD311, 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; manmachine interaction; design of problem-oriented computer language.
The course deals with 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.
The course encompasses techniques for the analysis of systems for which physical laws do not provide a simple guideline, viz, systems in which there is human intervention and decision making. Topics include macroscopic modelling of large scale resource and societal systems, decomposition techniques, graphtheoretic 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 arsing 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 in molecular biology and genetics; the cell as a micro-system; the role of water transport; man as a complex of systems and subsystems; the nature of selected subsystems (including introduction to electrophysiology.
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.
Multi-terminal representations, coupied 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.
461 Systems Design Workshop 5
A continuation of the Systems Design Workshop for fourth year students. The emphasis will be on an individual problem
462 Systems Design Workshop 6
chosen from the student’s technical option area..
Introduction to problems of definition and enclosure of space with structure and materials; occupancy problems; functional criteria. Problems associated with the effect on the user’s per- © ception of spatial arrangements associated with the manipulation of materials and structural design will be discussed.
The basic theory of photographic measurement techniques; photoinstrumentation; 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; photographic.
methods for design and industry; specialized applications and data analyzing tools.
The nature and design of machine-mediated human communication systems. Consideration will be given to displays, computer graphics, computer-aided instruction and mass communication media (Film, T.V., radio, print). The design of new media, innovation. A system approach will be adopted with special attention to the socio-economic effects of such systems.
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.
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.
Department of Systems Design
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; analytic methods for test and evaluation in human engineering.
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 automotive 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.
Anthropology 350*
English 108*E
English 208E*
History 233*
Political Science 116*
Psychology 102*
Psychology 365*
Sociology 215*
Sociology 415*