65 courses in the 1988–89 Undergraduate Calendar, read from the scanned original. The text comes from OCR, so check the scanned page before relying on a detail.
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. Antiderivatives, indefinite integrals. Integration as the limit of a sum. Areas, volumes, transcendental functions. Methods and techniques of integration. Application of integrals.
Methods of integration, application of integrals. Sequences, series, power series, Taylor series with applications. Multi-variable functions, partial derivatives and differentials. Chain rules.
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. Eigenvectors, diagonalization of matrices.
Course Descriptions 16:169
Systems Design Engineering
Introduction to electronic digital computers; hardware and software organization, basic features of Pascal and/or Fortran, examples of efficient algorithms for engineering computation.
Binary variables and basic logic circuits; computer architecture and machine instructions for small computers; assembly language programming; interfacing with peripheral equipment; current engineering applications of microcomputers.
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, human information processing; motor function; human work, thermal regulation and metabolism, skill, fatigue; shift work and circadian rhythms, problems of acoustic noise, vibration, heat, cold; needs of ventilation and lighting, information displays and control systems.
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.-
Basic concepts of mechanics, vectors, statics of particles. Rigid bodies and force systems, equilibrium of rigid bodies. Analysis of trusses and frames. Distributed forces, centroids and moments of inertia. Friction. Virtual work.
Kinematics of particles, rectilinear and curvilinear motion. Kinetics of particles, application to space mechanics. Energy and momentum methods. Systems of particles. Kinematics of rigid bodies, plan motion. Vibrations.
16:170 Course Descriptions
Systems Design Engineering
Concepts of electronic structure, bonding; shapes of molecules, especially in covalent molecules; reactivity, energetics, chemical behaviour as a consequence. Acidity, basicity and buffer solu-
. tions. Organic Chemistry - systems of nomenclature, functionality and common relations. Important systems of natural and synthetic polymers and biomolecules.
Systems Design second-year students will meet 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.
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. Laplace transforms and applications.
Models and analysis of linear systems. Discrete time systems, continuous time systems; difference and differential equations; impulse and frequency response. Complex frequency, functions of complex variables, transform domain techniques: Z transform; Fourier analysis, Laplace transform. Transfer functions and frequency response, frequency domain analysis of linear systems; sampling theory, stability, and linear filters.
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.
A complete review of probability models. Goodness of fit. Estimation, tests of significance and confidence intervals. Application to normal models. Simple linear regression.
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 reallife 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.
A continuation of the Systems Design Workshop 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 bendingmoment diagrams. Work and energy methods. Introduction to instability.
Introduction to the fundamental laws of electricity and magnetism; properties of dielectrics, conductors and semiconductors and terminal characteristics of passive and active components; Kirchoff’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 systems design, an introduction to digital logic with emphasis on the use and characteristics of integrated circuits. Design of logic systems involving gates, counters, registers, flipflops and arithmetic logic units. An introduction to microprocessor 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.
Methods.
Introduction to numerical techniques for engineering problems. Topics covered include: source of computational error; solutions to linear and non-linear equations; matrix factorization; eigensystems; numerical interpolation and approximation; numerical integration solution of ordinary and partial differential equations. Introduction to data structures and their application.
System modelling, simulation techniques for continuous and discrete systems; special purpose computer languages for systems simulation; examples and applications in a variety of areas.
Theory and algorithms for non-linear constrained optimization problems: convex set, convex functions, convex programming, Kuhn-Tucker conditions, duality, quadratic programming, quasi- . Newton methods, geometric programming, dynamic programming.
Multiple regression analysis. Assumptions, use of indicator variables, variable selection techniques, analysis of variance. Introduction to experimental design, including block designs, factorial arrangements of treatments.
History and development of occupational hygiene. Review of organic chemical terminology. Recognition, evaluation, and control of, and human response to, hazardous chemical and physical agents in the environment.
The subject matter is similar to SY DE 252 except that the development is based on other physical systems such as mechanical and hydraulic systems.
Mixed nodal, state formulation and solution. Relationship to classical approaches to modelling of systems from other physical systems.
Data structures techniques and their role in the design of algorithms, arrays, lists, trees and graphs, sorting and searching algorithms, evaluation and analysis of algorithms, application to engineering problems.
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. Concept 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 limitation, tolerances, accuracy, surface finish and economics. Cost 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 a process of data analysis. Pattern features as components in a random vector representation. Classification techniques: distance measures in feature space, probabilistic (Bayesian) decision theory, linear -discriminants. Clustering and feature extraction. Applications: optical character recognition, speech recognition, industrial robot vision, medical diagnosis, remote sensing and satellite image analysis, fault detection and diagnosis in complex systems such as nuclear reactors.
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..
An introduction to the understanding of the properties and applications of engineering materials. Atomic bonding and packing; crystal defects and microstructure; elasticity, plasticity, strength and fracture; strengthening methods and transformations; fast fracture, toughness, fatigue and creep; oxidation and corrosion; case studies of materials in design.
Analog systems design, signal conditioning systems; attenuation; amplification, oscillation, modulation and detection; linear filters. Input-output relationships, transfer functions and frequency response of linear systems. Application to measurement instrumentation.
This course serves as a focus for the complete lab program sequence. The emphasis is on major experiments which are themselves complete systems requiring the application of previous acquired knowledge in areas of sensing, synthesis, control, measurement and evaluation. Experiments are drawn from the digital control or computer control environment and from the analog control environment.
Course Descriptions 16:171
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.
Important concepts in graph theory, their properties, relationships among them and useful graph algorithms are given in the context of various applications. Applications include but not restricted to number of variables for electrical network equations, graph theoretic solutions to electrical network equations, sparse matrix techniques, graph models for fault diagnosis, optimum distribution of traffic through network and other network flow problems.
Issues and direction in computer aided design (CAD); fundamental principles and concepts required in actual design and building of CAD systems; state-ofthe-art of CAD systems on the market; criteria upon which to evaluate CAD systems. Additional topics such as computer-aided manufacturing, flexible manufacturing and expert systems may be included.
The objective of this course is to introduce the students to current intelligent system concepts. Artificial intelligence systems in areas such as natural language understanding, speech understanding, machine vision and learning will be discussed. Methods and tools for building expert systems will be introduced.
Prereq: SY DE 352 or equivalent
16:172 Course Descriptions
Systems Design Engineering
Design of efficient algorithms and methods for their analysis, mathematical algorithms, string processing algorithms, geometrical algorithms, exhaustive search and traversal techniques, introduction to a lower bound theory and NP-completeness, examples from engineering problems.
Prereq: SY DE 352 or equivalent
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.
Techniques from game theory for assessing the social and political influences in engineering decision making. Topics include metagame analysis, games with mistaken information, sensitivity analysis, dynamic games, probabilistic considerations, bargaining and realworld applications of all the foregoing concepts.
Concept of system safety and safety as a system component in design and industry. Liabilities and safety legislation. Workman's Compensation: cost, disability, benefits, adequacy. Management and safety responsibilities. The changing roles of safety personnel. Hazards, their determination, categories and elimination. Industrial safety and accident protection. Plant safety and emergency planning. Accident investigation. The hazards of toxic materials, their types, mechanisms, detection and measurement. Toxicology and the workplace, industrial safety standards and codes.
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.
Systems.
State equations for two-terminal compo-
nent systems; time varying and non-linear components; analytical solutions for state
“ models; numerical and analog methods
for solution.
This course applies physical systems theory to problems where the physical process is continuously distributed throughout a medium. The course contents include introduction to field and continuum problems; overview of approximate solution methods - including the finite difference method and the finite element method; identification of field variables; spatial discretization; modelling the field characteristics; formulations and computer solutions; applications of multiterminal representations.
Jayne’s formalism, applications to thermodynamics, derivation of some common probability distributions on the basis of MEP, spectral analysis and state estimation. The intent of the course is to spell out a systems methodology for probabilistic systems from an information-theoretic point of view.
A continuation of the Systems Design Workshop Sequence for fourth-year students.
A continuation of the Systems Design Workshop sequence for fourth-year students.
Factors influencing technological innovation. The environment for technological innovation in Canada. Technological innovation in the corporations. The role of governments and universities. Interna- ° tional comparisons.
Structural forms. Structural requirements. Statically determinate and indeterminate structures. Basic theorems of linear elastic structures. Methods of analysis: slope-deflection, moment distribution, etc. Applications of Graph Theory to the analysis of structural systems.
The nature and design of machinemediated 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.
Beginning with a discussion of quantitative models of imaging systems, this course moves on to apply methods of linear systems theory and signal processing to image processing. Simple spatial domain techniques as well as spatial frequency domain methods and digital filter design for image enhancement and restoration are discussed. Special topics in application areas of machine vision (segmentation and feature extraction), remote sensing, medical imaging and vision models are presented throughout the term.
Prereq: SY DE 212 or equivalent
System modelling and simulation techniques, fundamentals of analog computation, time and magnitude scaling; continuous system simulation on the digital computer; advantages and disadvantages of digital and analog 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 the 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.
Significance of ergonomics; manmachine-environment complex; physiology of work, human information processing, fatigue, circadian rhythms and the health consequences of shift work; environmental factors in industry; noise, vibration, vision, illumination, heat, cold, toxic chemicals, industrial safety.
This course introduces students to a unified approach to Physical System Theory, using a graph-theoretical 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, Telegen’s theorem, multi-terminal representations, piecewise analysis of systems through subsystems, multiport representations, formulation and solutions of state models, introduction to advanced topics.