Undergraduate Calendar 1999-2000

Associate Chair for Undergraduate Studies
G.R. Heppler, ext. 5566

Note:

1. The numbering of Systems Design Engineering courses is as follows:
   • If the course is given in the "A" term, the number in the units place is odd; otherwise, it is even.
   • 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
   • The number in the 100's place generally refers to the year in the program in which the student will encounter the course.
2. The majority of Systems Design courses are given on the basis of 3 formal lectures and 1 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 her/his studies.

SY DE100s

SY DE 101/102 F,S 1C 0.0
Seminar
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.


SY DE 111 F 3C,1T 0.5
Calculus 1
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.


SY DE 112 S 3C,1T 0.5
Calculus 2
Intermediate and mean value theorems, L'Hôpital's rule. Taylor/Maclaurin and other power series, convergence and applications. Functions of two variables, partial derivatives, Jacobian, gradient, extrema, series.


SY DE 114 S 3C,1T 0.5
Linear Algebra
Systems of linear equations and matrices, vector spaces. Computational aspects of linear algebra, theoretical aspects: linear transformations, determinants, eigenvalues and eigenvectors, inner product spaces.


SY DE 121 F 3C,1T 0.5
Digital Computation
Computer systems, problem solving, data and programs, structured programming, arrays, matrices and pointers, correct and efficient algorithms, data structures.


SY DE 142 S 3C,1T,3L (alt. weeks) 0.5
Introduction to Human Systems
Ergonomics -- the man-machine environment, human sensory processes, information processing, motor function. Introduction to biomedical engineering. Introduction to cognitive ergonomics.


SY DE 161 F 3C,1T,3L 0.5
Introduction to Systems Design 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.


SY DE 181 F 3C,1T 0.5
Physics 1 (Statics)
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.


SY DE 182 S 3C,1T 0.5
Physics 2 (Dynamics)
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.


SY DE 183 F 3C,1T 0.5
Chemistry
Concepts of electronic structure, atomic and molecular bonding, 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.


SY DE 192 S 3C,1T,2L 0.5
Digital Systems
Digital technology, combinatorial logic, binary arithmetic, synchronous sequential circuits, design methodology, algorithmic state machines, microcomputer interfacing.


SY DE200s

SY DE 201/202 F,W 1C 0.0
Seminar
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.


SY DE 211 W 3C,1T 0.5
Differential Equations
First order differential equations, existence and uniqueness theorems, solution methods, second and higher order differential 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.


SY DE 213 W 3C,1T 0.5
Probability
Probability models, random sampling, distribution functions, independent experiments, conditional probability, Bayes Theorem. Discrete and continuous variates; mean and variance, covariance and correlation.


SY DE 214 F 3C,1T 0.5
Statistics
Likelihood methods, two parameter likelihoods, frequency properties, tests of significance. Analysis of Normal measurements. Applications to statistical quality and process control.


SY DE 221 W 3C,1L 0.5
Software Design
Structured software design, overview of programming systems and computer organization; data structures; hashing, sorting and searching; algorithm complexity, evaluation and design; event-driven and object- oriented programming; concurrency. Laboratories devoted to implementing a medium-sized programming project.


SY DE 252 F 3C,1T 0.5
Linear Systems and Signals
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 transforms; Fourier analysis, Laplace transform. Transfer functions and frequency response, frequency domain analysis of linear systems; sampling theory, stability, and linear filters.


SY DE 281 W 3C,2T 0.5
Mechanics of Deformable Solids
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.


SY DE 282 F 3C,1T 0.5
Fluid Mechanics
Fundamental concepts in systems involving 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 flow.


SY DE 283 W 3C,1T 0.5
Physics 3 (Electricity, Magnetism and Optics)
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.


SY DE 292 F 3C,1T,3L 0.5
Circuits, Instrumentation, and Measurements
Active and passive circuit elements, Kirchhoff'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, operational 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 DE300s

SY DE 301/302 W,S 1C 0.0
Seminar
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.


SY DE 311 S 3C,1T 0.5
Engineering Optimization
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.


SY DE 312 W 3C,1T 0.5
Numerical 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.


SY DE 324 W 3C 0.5
Data Structures and Algorithms
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.


SY DE 331 S 3C,1T 0.5
Engineering Economics
This course is designed to satisfy 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.


SY DE 334 W 3C 0.5
Applied Statistics
Review of basic Normal theory, t, x2, and F distributions. Simple linear regression. Lack of fit. Analysis of variance. Multiple linear regression, variable selection techniques, indicator variables, diagnostics. Brief introduction to non-linear regression, factorial experimentation.


SY DE 342 W 3C,1L 0.5
Industrial Ergonomics
Ergonomics applications in industrial environments. Human performance and fatigue in industrial accident prevention. Human systems reliability in the industrial workplace. Man-machine function and human stress, adaptation and reliability. Industrial workstation design. Case studies of industrial ergonomics problems. Ergonomics in industrial systems design.


SY DE 351 S 3C,1T 0.5
Systems Models 1
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.


SY DE 352 W 3C,1T,3L (alt. weeks) 0.5
Introduction to Control Systems
Classical and state space representations of control systems. Stability, controllability, observability and sensitivity. Routh-Hurwitz and root-locus methods. Frequency domain behaviour, Bode plots, Nyquist stability criteria. Pole placement, PID, phase-lead and phase-lag controllers.


SY DE 361 S 3C,1T,3L 0.5
Introduction to Design
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 small groups.


SY DE 362 W 1C,3L 0.5
Systems Design Workshop 1
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.


SY DE 364 W 3C,1T 0.5
Manufacturing Science
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.


SY DE 372 W 3C,1T 0.5
Introduction to Pattern Recognition
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.


SY DE 381 S 3C,1T 0.5
Thermodynamics
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.


SY DE 382 W 3C,1T 0.5
Modelling and Simulation of Mechanical Systems
Introduction to dynamic analysis of mechanical systems; review of planar kinematics and dynamics; basic concepts in kinematics of mechanical systems; position, velocity, and acceleration analysis of two-dimensional linkages and machines; dynamics of rigid body systems; solution of equations of motion to obtain time response and reaction forces; application to planar mechanisms, robots, and vehicles; extension to three-dimensional systems; computer-aided simulation and animation; introduction to advanced concepts in multibody dynamics.


SY DE400s

SY DE 401/402 F,W 1C 0.0
Seminar
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.


SY DE 422 W 3C,1T 0.5
Machine Intelligence
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 324 or equivalent


SY DE 423 F 3C,1T 0.5
Computer Algorithm Design and Analysis
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 324 or equivalent


SY DE 442 W 3C 0.5
Occupational and Environmental Systems Safety
Concept of system safety and safety as a system component in design and industry. Liabilities and safety legislation. Worker's Compensation: cost, disability, benefits, adequacy. Management and safety responsibilities. The changing role 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.


SY DE 444 W 3C,1T 0.5
Biomedical Engineering: Human Function and its Measurement
This course develops an understanding of the fundamental concepts of biomedical engineering through the review of the basic functioning aspects of several major physiological systems, through the analysis of mathematical models used to represent the systems and through the study of techniques used to measure pertinent parameters of these systems. In addition, a number of current clinically used medical imaging techniques are covered. The major physiological systems covered include the neuromuscular, cardiovascular and respiratory systems. Imaging techniques analyzed include X-ray, CT Scan, ultrasound, magnetic resonance imaging and positive emission topography.


SY DE 454 W 3C,1T 0.5
Computer Simulation of Systems
System modelling, simulation techniques for continuous and discrete systems; special purpose computer languages for systems simulation; examples and applications in a variety of areas.


SY DE 461 F 1C,3L 0.5
Systems Design Workshop 2
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.


SY DE 462 W 1C,3L 0.5
Systems Design Workshop 3
The concluding half of the fourth year Systems Design Workshop.


SY DE500s

SY DE 511 F 3C,1T 0.5
Optimization Methods for Stochastic Systems
A continuation of SY DE 311, with the emphasis on stochastic operations research models. Topics will include: introductory time series analysis and queuing theory, Markov decision processes, and stochastic programming. Models for optimization of large systems under uncertainty.


SY DE 513 F 3C,1T 0.5
Linear Graph Theory and Applications
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 are not restricted to graph theoretic solutions to electrical network equations, sparse matrix techniques, graph models for fault diagnosis, optimum distribution of traffic through networks and other network flow problems.


SY DE 533 F 3C 0.5
Conflict Analysis
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
Cognitive Ergonomics
This course focuses on the role engineering phychology research plays in the assessment of human performance in simple and complex cognitive tasks and the design of the information displays and devices associated with those cognitive tasks. Topics include: signal detection and target location tasks, navigation tasks, training tasks, mental workload, supervisory control, and situational awareness.
Coreq: PSYCH 207, KIN 356, or permission of instructor


SY DE 548 W 3C 0.5
Design of Human-Machine Systems
This course approaches the design tasks, tools, products and systems from a user-centered perspective. Emphasis is on the human factors and usability methods and techniques that can and should be applied throughtout the iterative design process. While design issues pertaining to human-computer interaction are discussed, the methods presented can be applied to the design of almost any artefact. Major topics include: function and task requirements analysis, usability analysis, prototyping and evaluation, user-interface design, interaction styles, user populations, designing to guidelines and standards.


SY DE 551 F 3C 0.5
Advanced Graph Theoretic Methods
The theory of linear graphs as applied to linear systems analysis; definitions, properties and theorems are developed on a rigorous basis. Introduction and review of graph theoretic modelling in the LaPlace domain; the branch, chord, nodal and mixed or hybrid methods. Modelling large systems in terms of subsystems; tree transformations, multi terminal representations, interconnection of multi port subsystems. Development of the state model using graph theory and its solution. There will also be an introduction to additional topics such as sensitivity analysis, probabilistic systems, and tolerance optimization. Students apply the material in an individual course project.


SY DE 553 F 3C,1T 0.5
Advanced Dynamics
Review of particle dynamics; variational methods; Hamilton's Principle; Lagrange's equations. Dynamics of rigid bodies; gyroscopic motion. Simple and multiple degree of freedom vibratory systems; modal analysis for discrete systems; extension to continuous systems.


SY DE 554 W 3C,1T 0.5
Systems Models 2
A continuation of SY DE 351 to include modelling and analysis of complex systems. Topics include transformers, transducers and amplifiers and nonlinear components from a variety of disciplines. Formulations of system equations and their solutions. Sensitivity methods and design issues. Examples include electro-mechanical, thermo-hydraulic, and mechanical-hydraulic systems.


SY DE 555 F 3C,1T 0.5
Modelling of Continuum Systems
Finite difference methods as they are applied to boundary value problems in solid mechanics and heat transfer analysis. Use of the finite difference method in the solutions of systems of higher order differential equations. The finite element method as it is applied to problems from structural and thermal analysis. Foundations and important principles of the finite element methods.
Antireq: CIV E 422, M E 559


SY DE 558 W 3C 0.5
Fuzzy Logic and Neural Networks
Fuzzy systems and neural networks have recently become widely applied to various areas including consumer products, mechatronics systems, industrial process control, information systems, pattern and speech recognition, and prediction of future stock prices to name a few. Fuzzy logic and neural networks share the common ability to improve the decision making process for systems characterized by ill-defined dynamics and working in an imprecise environment. For fuzzy systems this is done through linguistic description of the system by combining fuzzy sets with fuzzy rules following a well-structured numerical estimation procedure. For neural networks, this is done through detecting patterns and relationship from a set of training input-output data gathered from the system, while learning from relationships and adapting to change. The course is mainly intended as introductory material for fuzzy logic and neural networks and outlines the most recent developments in these areas and their applications for intelligent systems design.
Prereq: Prior knowledge of predicate calculus, optimization and control systems, though not necessary, may be helpful.


SY DE 575 F 3C,1T,3L(alt. weeks) 0.5
Image Processing
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 252 or equivalent

The Undergraduate Calendar is published by the
Office of the Registrar, University of Waterloo, Waterloo, ON N2L 3G1 Canada
Inquiries: infoucal@www.adm.uwaterloo.ca
Revised February 1999