68 courses in the 1980–81 Undergraduate Calendar, read from the scanned original. The text comes from OCR, so check the scanned page before relying on a detail.
Professor, Chairman K. Huseyin, MSc (istanbul), PhD, DSc (Eng.)
{London), PEng
Professor, Associate Dean, Undergraduate Studies G.N. Soulis, BASc (Toronto). PEng
Associate Professor, Associate Chairman, Graduate Studies
K. Singhal, BTech (1/T, Kharagpur), MS, EngSeD (Columbia)
Associate Professor, Associate Chairman, Undergraduate Studies
M. Chandrashekar, BTech (lIT, 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.
P. H. O’N. Roe, BASc (Toronto), MSc, PhD (Waterloo), PEng
S. S. Sengupta, MA, DPhil (Caicutta)
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) S. Toida, BS (Toyko), MSc, PAD (Illinois) B.L. Wills, BASc, MASc, PhD (Waterloo), PEng A. K. C. Wong, BSc, MSc (Hong Kong), PhD (Carnegie), 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.
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 asum. 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.
Course Descriptions 467 Systems Design
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.
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, coid; 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.
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.
Rectitinear motion, plane motion, dynamics of particies, 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.
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 calculus and its relation to inverse Laplace transforms. Functions of the complex variable. Difference equations. Z transforms.
Course Descriptions Systems Design
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, 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 solutioris 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.
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.
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 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, 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 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-orineted 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.
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.
Course Descriptions 469 Systems Design
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.
Sy De 351 ) 3C,1T 0.5
Physical Systems 2
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 topologicat 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.
Acontinuation 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 anaylsis, 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 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 control 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 interrelation of course work and engineering practice will be discussed.
Non-credit courses.
Course Descriptions Systems Design
A continuation of SyDe311, 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.
The application of graph theory to engineering problems. The emphasis is on soltition 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 jarge scale resource and societal systems, decomposition techniques, graph-theoretic and computer based methods of analysis, decision and control probiems, 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.
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 manin retation 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.
2C,1T 0.5
Requirements of human measurement and its role 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 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.
sequence for fourth year students.
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 471 Systems 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). 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.
This course is intended for students who, with little 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-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.
This course introduces students to a unified approach to Physical System Theory, using a graph-+heoretical 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 salution 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 ina 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