57 courses in the 1990–91 Undergraduate Calendar, read from the scanned original. The text comes from OCR, so check the scanned page before relying on a detail.
Prereq: One of STAT 231, M E 202, M SCI 251, SY DE 214, or consent of the instructor
Course Descriptions ‘ Statistics Systems Design Engineering
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.
The limit, continuity, and inverse functions. Integral calculus: fundamental theorems, integral as an area, indefinite integrals, methods of integration. Areas, volume, work, impulse and energy; polar coordinates; sequences, series and convergence.
Intermediate and mean value theorems, L'Hopital’s rule. Taylor/Maclaurin and other power series, convergence and applications. Functions of two variables, partial derivatives, Jacobian, gradient, extrema, series.
Systems of linear equations and matrices, vector spaces. Computational aspects of linear algebra, theoretical aspects: linear transformations, determinants, eigenvalues and eigenvectors, inner product spaces.
Computer systems, problem solving, data and programs, structured programming, arrays, matrices and . pointers, correct and efficient aigorithms, data structures.
Ergonomics - the man-machine environment, human sensory processes, information processing, motor function. Introduction to biomedical engineering. introduction to cognitive ergonomics.
Course Descriptions Systems Design Engineering
Engineering.
Defining systems design, systems concepts, system sciences. Systems problem solving: identification, analysis and design. Graphics: engineering drawing, projections, descriptive geometry, points planes and lines.
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 and kinetics of rigid bodies; planar motion. Vibrations.
Concepts of electronic structure, atomic and molecular banding, shapes of molecules; reactivity, energetics, chemical behaviour. Acidity, basicity and buffer solutions. Solids: ionic and covalent crystals, crystal defects. Oxidation and corrosion. Organic Chemistry - common functional groups and reactions, including polymer-forming reactions; fibers, plastics and rubber.
Digital technology, combinatorial logic, binary arithmetic, synchronous sequential circuits, design methodology, algorithmic state machines, microcomputer interfacing.
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, existence and uniqueness theorems, solution methods, second and higher order differentia! equations. Forced and free solutions to differential equations, transient and steady state solutions, applications, systems of differential equations. Laplace transforms with applications to differential equations.
Probability models, random sampling, distribution functions, independent experiments, conditional probability, Bayes Theorem. Discrete and continuous variates; mean and variance, covariance and correlation.
Likelihood methods, two parameter likelinoods, frequency properties, tests of significance. Analysis of Normal measurements. Applications to statistical quality and process control.
This course is designed to satisty Engineering Economics requirements of the Canadian Accreditation Board. Price and output decisions. Choosing among alternative inputs and production processes. Evaluating alternative investments, equipment service life, and new products.
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.
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 magnetism and optics; electric fields, voltage, resistance, current, properties of conductors and semiconductors, capacitance, properties of dielectrics, magnetic fields, Faraday's Law and inductance, properties of magnetic materials; electromagnetic waves and the nature of light, geometrical optics: reflection and refraction, physical optics: interference and diffraction.
Fundamental concepts in systems invalving fluid flow. Basic treatment of statics, kinematics and dynamics of fluids. Conservation of mass, momentum and energy for a control volume. Dimensional analysis and similarity. Flow in pipes and channels. Brief introduction to boundary layers, lift and drag, ideal and compressible fiow.
Circuit elements active and passive, Kirchoff's laws, mesh and nodal circuit analysis, principle of superposition; step response of first and second order networks; sinusoidal steady state analysis using complex impedance phasors; input-output relationships, transfer functions and frequency response of linear systems; operational amplifiers, operational amplifier circuits using negative or positive feedback; diodes, operationa! amplifier circuits using diodes; analog signal detection, conditioning and conversion systems; transducers, difference and instrumentation amplifiers, active filters, A/D and D/A conversion.
-SY DE 301/302 S,W 1C 0.0 Tutorial 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.
Course Descriptions Systems Design Engineering
Mathematical foundations for engineering design and decision making. Emphasis is on basic concepts and optimization methods. Classification of techniques. Concepts of system and model, and the analysis and design process. Theory of value. Multiple criteria and trade-offs. Dealing with uncertainty and time. Computational techniques. Applications, principles and practice.
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.
Structured software design, overview of programming systems and computer organization; data structures; hashing, sorting and searching; algorithm complexity, evaluation and design; eventdriven and object oriented programming; concurrency. Labs devoted to implementing a medium sized programming project.
System modelling, simulation techniques for continuous and discrete systems; special purpose computer languages for systems simulation; examples and applications in a variety of areas.
Data structures techniques and their role in the design of algorithms, arrays, lists, trees and graphs, sorting and searching algorithms, evaluation and analysis of aigorithms, application to engineering problems.
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.
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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.
Introduction to systems modelling and analysis. Graph theoretic models and formulation of system equations. State space formulation and solution. Time and frequency domain solutions. Application to engineering systems.
Classical and state space representations of control systems. Stability, controliability, observability and sensitivity. Routh-Hurwitz and root-locus methods. Frequency domain behaviour, Bode plots, Nyquist stability criteria. Pole placement, PID, phase-lead and phaselag controllers.
The subject matter is similar to SY DE 351 except 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 systems for other physical systems.
The methodology of design: defects, needs and the problem definition; criteria and generation of alternative solutions; feasibility analysis; optimization; selection, implementation and solution. The lecture material is supplemented by a term long design project done in smal! groups.
Engineering design project course where students work in small groups applying the principles of engineering problem solving, systems analysis, simulation, optimization and design to a problem of their own choosing. Students have individual project supervisors as well as an overall coordinator who provides the framework for the term projects.
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.
Course Descriptions Systems Design Engineering
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 transtormations; 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 experimenis 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.
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 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
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
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.
State equations for two-terminal component systems; time varying and non-linear components; analytical solutions for state models; numerical and analog methods of solution.
The first half of a two term engineering design project continuing the systems design workshop sequence. An interim progress report is presented at the end of the first term.
The concluding half of the fourth year Systems Design Workshop.
Factors influencing technological innovation. The environment for technological innovation in Canada. Technological innovation in the corporations. The role of governments and universities. International comparisons.
Ukrainian Women's Studies
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.
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.
SY DE §21 F 3C0,1T 0.6 Computer Aided Design
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.
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 real-world applications of all the foregoing concepts.
“SY DE 543 F 3C,1T 0.5.
Engineering Psychology and Human Performance
The purpose of this course is to provide a comprehensive survey of human mental capabilities with applications to human-machine systems. Topics covered include: signal detection and absolute judgement, decision making, perception of verbal material, nonverbal perception, memory, attention and perception, mental workload, selection of action, reaction time and human error, continuous manual control, process control and automation, learning and skill acquisition.
This course will present the fundamental principles of design of humanmachine interfaces, with applications to the design of cockpits, control rooms and computer interfaces. The first part of the course will be devoted to display and perception: measurement and specification of light, colour and sound; properties of the visual and auditory systems; signs, symbols and language; auditory and visual display of information. The second part of the course wilf apply these concepts to design: human limitations on perception, attention, memory and decision making, and the design of displays and intelligent machines to supplement them; allocation of function between human and machine.
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.
Maximum Entropy Principle (MEP), Jaynes’ formalism, applications to thermo-dynamics, 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.
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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
Ukrainian
For courses in Ukrainian see Germanic and Slavic Languages and Literatures.
Women's Studies
Undergraduate Officer L. Dorney, PAS 3017, ext. 2880
WS 200 *
Introduction to Women’s Studies An interdisciplinary survey which introduces students to the questions which have been posed concerning women's nature, roles, problems and accomplishments. Special emphasis will be given to the methodologies which a variety of disciplines in the Arts and Sciences use to examine these questions.
“WS 200, the core course of the Joint Option, is a team-taught effort by participating lecturers from the disciplines of Art, Sociology, Psychology, Philosophy, Religious Studies, Economics, Political Science and English.
‘: WS300 **
Seminar in Women’s Studies
A seminar in which students will examine the origins and course of the women's movement from an interdisciplinary perspective, with special attention to topics such as the Canadian woman.
«+ Taught at Wilfrid Laurier University.