67 courses in the 1981–82 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 Engineering
Professor, Chairman K. Huseyin, MSc (istanbul), PhD, DSc (Eng.) (London), PEng
Professor, Associate Dean, Undergraduate Studies P. H. O’N. Roe, BASc (Toronto), MSc, PhD (Waterloo), PEng
Associate Professor, Associate Chairman, Graduate Studies
K. Singhal, BTech (IIT, Kharagpur), MS, EngScD (Columbia)
Associate Professor, Associate Chairman, Undergraduate Studies
M. Chandrashekar, BTech (IIT, Kanpur), MASc, PhD (Waterloo), PEng
Professors T. M. Fraser, MB, ChB (Edinburgh), MSc (Ohio State), LMCC, FACPM, PEng H. K. Kesavan, BSc, BE (Mysore), MS (Illinois), PhD (Michigan State), PEng S. S. Sengupta, MA, DPhil (Calcutta) G. N. Soulis, BASe (Toronto), PEng D. A. Winter', BSc (Queens), PhD (Dalhousie), PEng A. K. C. Wong, BSc, MSc (Hong Kong), PhD (Carnegie), PEng
Associate Professors
M. L. Constant, BSc (Toronto)
G. F. Rabideau, BA, MA (Wisconsin), PhD (Purdue) P. L. Seeley, BASc (Toronto)
S. Toida, BS (Toyko), MSc, PhD (Illinois)
B. L. Willis, BASc, MASc, PhD (Waterloo), PEng
Assistant Professors
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
Adjunct Professor C. Charalambous, BSc (Surrey), PhD (McMaster)
“Cross Appointment with Department of Kinesiology)
Systems Design Course Numbering
The numbering of Systems Design courses is as
follows.
a) If 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.
1 topics in applied mathematics
2 computer systems
3 socio-economic systems
4 human systems
5 physical systems
6 the design of engineering systems
7 communication and information systems 8 engineering sciences
9 laboratories
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. It is expected that the average student will spend, in total, between 45 and 55 hours per week on his/her studies.
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, interrelation 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 function, partial derivative, multi-variable differentials, multi-variable integrals.
Course Descriptions * 477 Systems Design Engineering.
‘
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 matrix, linear transformation and partitioning. Eigenvalues.
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.
Machine architecture and software for small computers; operating systems; machine and assembly language programming using cross assemblers and microcomputers; interfacing with peripheral equipment; current engineering applications of micro and mini-computers.
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. Fundamentals 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.
A continuation of Sy De 161 with emphasis on need analysis and problem definition. Techniques of surveying, market analysis. Generation of design criteria and introduction to decision analysis. A number of open ended problems taken to the stage of solution specification.
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. \
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 calculus and its relation to inverse Laplace transforms. Functions of the complex variable. Difference equations. Z transforms.
Course Descriptions Systems Design Engineering
Sample statistic 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.
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 all 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 bending-moment diagrams. Work and energy methods. Introduction to instability.
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.
Introduction to the fundamental laws of electricity and magnetism; properties of dielectrics, conductors and semi-conductors and terminal characteristics of passive and active components; Kirchhoff'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.
Digital logic with emphasis on the use and characteristics of integrated circuits; design of subsystems 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, 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, followed by the construction, evaluation and applicability of various models in ailocation, inventory, replacement, sequencing and related probiems.
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 controi. Selected problems from nonlinear and dynamic programming.
Course Descriptions 479 Systems Design Engineering
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.
Man-machine function and human reliability; human stress and adaptation; 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 mechanical 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 contro! 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.
Presentation and discussion of appropriate and possible methods for the designing 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 acids, pepides, proteins, nucleic acids, carbohydrates and lipids. An introduction to polymer chemistry, isomerism, chain-growth polymerization and copolymerization, ionic polymerization.
tntroduction 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 compiete 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.
Course Descriptions Systems Design Engineering
Systems Design fourth year students will meet with a faculty member designated 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 311, with emphasis on Stochastic Operations Research Models. Topics will include; Decision making under uncertainty, queuing models and related probabilistic techniques, feedback 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 graphtheoretic 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.
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.
Not offered Winter term 1982.
Historical developments of occupational safety and safety legislation. Master and servant relationships, assumption of risk, product liability, etc. Concept of system 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 rote in design. Techniques of environmental measurement 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 solution.
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 graphtheoretic methods.
Course Descriptions ’ 481 Systems Design Engineering
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 continuation of the Systems Design Workshop sequence for fourth year students.
Economic factors associated with technological design, development and innovation. Approaches to analyzing and predictively modelling technological situations under conditions of change and uncertainty.
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). A systems approach will be adopted with special attention to the socio-economic aspects of such systems.
System modelling and simulation techniques, fundamentals of analogue computation, time and magnitude scaling; continuous system simulation on the digital computer; advantages and disadvantages of digital and analogue simulation techniques; discrete-event system simulation on the digital computer; system simulation; examples and problems.
Sy ‘De 535 F,S 3c. 0.5
Selected Topics for Socio-Economic Systems Design This course is intended for students who, with iittle prior background, are interested in enlarging their knowledge of Systems Design. The emphasis is on 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.
Man-machine systems; man-machine interface; presentation of information; design of displays and controls; workplace layout; human factors in design.
Significance of ergonomics; man-machineenvironment complex; physiology of work, fatigue, and boredom; environmental factors in industry (noise, vibration, vision, illumination, heat, cold, toxic chemicals, radiation); industrial, and automotive safety.
This course introduces students to a unified approach to Physical System Theory, using a graphtheoretical 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,” Tellegen’s theorem, multi-terminal representations, piecewise analysis of systems through subsystems, multiport representations, formulation and solutions of state models, introduction to advanced topics.
Generation of problem statements, system identification, generation of solution sets, feasibility determination. Construction of archetypes; sensitivity, compatibility and stability analysis; behaviour prediction and solution communication.
The basic aim of this course is to introduce the student to the study and understanding of systems and their general behaviour, to broaden systems concepts and the techniques used in applying these concepts in a variety of fields. The fields chosen cover biological, ecological, social, operational, economic and man-machine systems. A number of case studies are conducted.
Course Descriptions