61 courses in the 1978–79 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, MB, ChB (Edinburgh), MSc (Ohio State), LMCC, FACPM, PEng
Professor, Associate Dean, Graduate Studies P.H.O’N. Roe, BASc (Toronto), MSc, PhD (Waterloo), PEng
Professor, Associate Dean, ‘ Undergraduate Studies G.N. Soulis, BASc¢ (Toronto), PEng
Professor, Associate Chairman, Graduate Studies K. Huseyin, MSc, (Istanbul), PhD (London), PEng
Associate Professor, Associate Chairman Undergraduate Studies B.L. Wills, BASc, MASc, PhD (Waterloo), PEng.
Professors
H.K. Kesavan, BSc, BE (Mysore), MS (Iilinois), PhD (Michigan State), PEng .
D.A. Winter’, BSc (Queens), PhD (Dalhousie), PEng
Associate Professors
M.L. Constant, BSc (Toronto)
G.F. Rabideau, BA, MA (Wisconsin), PhD (Purdue)
P.L. Seeley, BASc (Toronto)
K. Singhal, BTech (1IT, Kharagpur), MS, EngScD (Columbia)
S.Toida, BS (Tokyo), MSc, PhD (Illinois)
A.K.C. Wong, BSc, MSc (Hong Kong), PhD (Carnegie), PEng
Assistant Professors
M. Chandrashekar, BTech (IIT, Kanpur), MASc, PhD (Waterloo), PEng
C. Charalambous, BSc (Surrey), PhD (McMaster)
C.K.G.Hahn, MASc (Waterloo)
K. W. Hipel, BASc, MASc, PhD (Waterloo), PEng
M.E. Jernigan, SB, SM, PhD (MIT}, PEng
G. J. Savage, BASc, MASc, PhD (Waterloo), PEng
Lecturer Y.S.Ho, BSc (Taiwan), MSc (Toronto), PhD (Waterloo)
‘(Cross Appointment with Department of Kinesiology)
Course Descriptions Systems Design
Systems Design Course Numbering The numbering of Systems Design courses is as follows.
a) tf 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.
topics in applied mathematics computer systems
socio-economic systems.
human systems
physical systems .
the design of engineering systems communication and information systems engineering sciences
laboratories
OMNOUNAWN =
c) The number in the 100’s place refers to the year in the programme in which the student will encounter the course.
The majority of Systems Design courses are given on the basis of three formal lectures and one 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.
Course Descriptions
Sy De 101/102 | Tutorial Systems Design first 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 course.
F,S 1c 0.0
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.
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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.
3C,1T 0.5
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.
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 and 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.
Course Descriptions | ‘apy Systems Design
The principles of engineering design culminating ina project. Specific topics introduced are: The systems approach, principles of planning, innovation and the creation of design solution, 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.
3C,1T 0.5
Rectilinear motion, plane motion, dynamics of particles, work and energy, linear 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.
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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, etc.
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.
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 caicuius and iis relation to inverse Laplace transforms. Functions of the complex variable. Difference equations. Z transforms.
Sampie statistics and their distributions. Order Statistics and their distributions. Decision making under uncertainty. Statistical inference: Estimation and testing statistical nypothesis. 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, 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 selected to cover all disciplines. Both the problems and the student's work are expected to increase in sophistication through the Workshop course sequence.
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.
Course Descriptions Systems Design
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.
Fundamentai 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, liftand drag, ideal and compressible flow.
Digital logic with emphasis on the use and characteristics of integrated circuits; design of sub-systems and systems using digital components.
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.
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, system simulation techniques, digital computer methods, fundamentals of analog computation, digital simulation of analog computers; block-oriented languages, introduction to systems simulation using hybrid computers.
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.
Anatysis 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.
Man-machine function and human retiability; human stress and adapatation; 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 in 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 computers. A survey of the capabilities of existing programmes 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
The generation and forming of surfaces. Concepts 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 limitations, tolerances, accuracy, surface finish and economics. Costs in manufacturing.
Course Descriptions / 7 423 Systems Design ..
Presentation and discussion of appropriate and passible methods for the design of systems or artifacts in which aesthetic characteristics and visual form are primary requirements of the design.
Pattern Recognition as an information processing problem; recognition and classification of patterns in data; distinguishing features. Probability and statistics, linear algebra, and calculus are combined with concepts from communication theory and information science to develop techniques of data analysis. Examples include: optical character recognition, automated cytology, disease diagnosis, earthquake prediction, meteorology, aerial photograph analysis, personal credit rating, economic forecasting.
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.
An introduction to the chemistry to amino acides, pepides, proteins, nucleic acids, carbohydrates and lipids. An introduction to polymer chemistry, isomerism, chain-growth polymerization and co-polymerization, ionic polymerization.
Introduction to electronic filters, attenuation, amplification oscillation, modulation and detection; application to instrumentation. ‘
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 previous acquired knowledge in the areas of sensing, synthesis, control, measurement and evaluation. At least one experiment will be drawn from the digital control or computer contro} environment and one from the analog control! environment.
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.
Acontinuation of Sy De 311, with emphasis on Stochastic Operations Research Models. Topics will include; Decision making under undertainty, queuing models and related probabilistic techniques, feed-back control, probabilistic inventory, competitive strategies and related topics.
The application of graph theory to engineering problems. The emphasis is on solution techniques that require the use of linear graphs. Typical problem areas include commodity: distribution networks, topological aspects of electronic circuits, fault diagnosis, information retrieval, etc. Specific graph-theoretic ideas are developed in terms of the problems and their solutions.
The design process; computer-oriented system models; simulation languages for continuous and discrete systems; man-machine interaction; design of problem-oriented computer languages.
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-quadratic 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.
2C,1T 0.5
Course Descriptions 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.
Historical development of occupational safety and safety legislation. Master and servant relationships, assumption of risk, product liability, etc. Conceptofsystem safety and safety as a system component in design and industry.
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.
Requirements of human measurement and its role in design. Techniques of environmental méasurement with respect to noise, vibration, heat, lighting, air sampling, etc., and selected studies in the methods of anthropometry.
State equations for two-terminal component systems; time varying and non-linear components; analytical solutions for state models, numerical and analogue methods for soijution.
This course investigates the concepts and techniques
used in hydraulic, power, communication and control
systems. Established classical methods of analysis will be compared with recent graph-theoretic methods.
The course brings materials from the core Systems Design curriculum to bear upon the analysis of large engineering systems; examples from a variety of engineering disciplines such as energy systems, economics, transportation, hydraulics, mechanical, electrical, and structural systems and their combinations; techniques for the analysis of complex systems using digital computers.
a
A continuation of the Systems Design Workshop sequence for fourth year students.
Presentation and dicussion of appropriate and possible methods for the design of systems or artificts in which manufacturing processes, material properties and distribution processes constrain the design.
Structural forms. Structural requirements. Statistically 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.
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). Asystems approcah will be adopted with special attention to the socio-economic aspects of such systems.
Course Descriptions ‘ . 425 Systems Design/Urban and Regional Planning