[How to read the course descriptions]

*
Undergraduate Officer
*

D.W. Stashuk, ext. 5566

**Note:**

*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.

*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 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 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 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 354 W 3C,1T 0.5**

**Systems Models 2
**

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.

**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 DE 384 W 3C,1T,2L 0.5**

**Materials 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 transformations; fast fracture, toughness,
fatigue and creep; oxidation and corrosion; case studies of materials in
design.

**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 432 W 3C,1T 0.5**

**Numerical Optimization
**

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.

**SY DE 434 W 3C,1T 0.5**

**Random Processes in the Environment
**

The objective of this course is two-fold: firstly to impress on the
students that most processes in the environment occur as random processes
and secondly to develop in the students the capability to analyze such
processes. The course will review theory of random variables and
introduce concepts of random processes and time series analysis. Physical
phenomena in the environment and their random nature will be discussed
with examples from the hydrologic cycle, air circulation and ocean
circulation.

**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 452 W 3C,1T 0.5**

**Analysis of Large Systems
**

Topics include decomposition techniques, graph theoretic methods
of analysis, tearing of large systems into subsystems, multiport and
multiterminal component representations; examples are drawn from
practical large-scale systems.

**SY DE 453 F 3C 0.5**

**Time Domain Models for Physical 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.

**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 DE 511 F 3C,1T 0.5**

**Optimization Methods for Stochastic Systems
**

A continuation of SY DE 311, with 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 521 F 3C 0.5**

**Computer Aided Design
**

Issues and directions in computer aided design and engineering
(CAD/CAE); principles underlying the design of CAD systems. CAD
systems architecture and data structures. Fundamentals of interactive
computer graphics with application to engineering design and analysis
software: graphical interfaces; geometrical transformations and
projections; representation of lines, curves, surfaces and solids; graphical
rendering techniques. Automated assembly and solution techniques for
linear systems. The course usually involves a major project in which
students develop a working CAD system.

**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 536 W 3C,1T 0.5**

**Environmental Systems Modelling
**

The course presents concepts of systems modelling and applies
them to environmental subsystems such as energy, physical and bio-
ecosystems, and to socio-economic systems. The course emphasizes the
symbiotic aspects of socio-economic and environmental systems which
form the basis for analysis and design of such complex projects.

*Cross-listed as ENV E 420
*

**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, non-verbal 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.

**SY DE 548 W 3C 0.5**

**Design of Human-Machine Systems
**

This course introduces the key rules for interface design, and the
theory on which these rules are based. The focus is on human-computer
interaction, but results about display and control devices and human
performance are discussed and illustrated in the context of machines in
general. Design strengths, weaknesses, compromises and tradeoffs are
explored for a variety of representative user interfaces. Major topics: role
of the user interface, relevant results in human cognition, devices for input
and output, models for system users, interaction styles and techniques,
design principles for user interface software and graphic displays.

**SY DE 551 F 3C,1T 0.5**

**Stability of Systems
**

Fundamental concepts and definitions in the stability theory of
deterministic systems. Classification of systems and stability criteria.
Nonlinear behaviour, static and dynamic bifurcations, and catastrophes.
Secondary bifurcations and imperfection sensitivity. Hopf bifurcations, and
introduction to chaos.

**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; model
analysis for discrete systems; extension to continuous 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.

**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
*

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