Course Descriptions - Undergraduate Calendar 2015-2016

University of Waterloo Home | Undergraduate Calendar | Course Description Index | Contact Us | Privacy
University of Waterloo
S Y S T E M S   D E S I G N   E N G I N E E R I N G 

Notes:

  1. The numbering of Systems Design Engineering courses is as follows:
  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.
  3. In the event of extraordinary circumstances, the department reserves the right to not offer certain elective courses at the 4XX/5XX level.

SYDE 100s


SYDE 101 LEC,TUT 0.25Course ID: 009341
Introduction to Systems Design Engineering
This course introduces first year students to Systems Design Engineering. The fundamental emphases of the course are on the Engineering profession and on communication skills: graphical, written, and oral. Engineering practice will be discussed, including Engineering professional development, Engineering ethics, résumé skills, interview skills, the co-op system, and preparations for the upcoming co-op term. [Offered: F]
Prereq: 1A Systems Design Engineering

SYDE 101L LAB,LEC 0.25Course ID: 012857
Graphics Laboratory
Laboratory experiments for students taking SYDE 101. [Offered: F]
Prereq: 1A Systems Design Engineering

SYDE 102 SEM 0.00Course ID: 009342
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 course. [Offered: S]
Prereq: 1B Systems Design Engineering

SYDE 111 LEC,TST,TUT 0.50Course ID: 008925
Fundamental Engineering Math 1
Functions: trigonometric, exponential, log, inverse functions. Differential calculus: limits, continuity, derivatives, differentials, applications. Sequences and series: convergence, power series, Taylor expansions. Simple numerical methods. [Offered: F]
Prereq: 1A Systems Design Engineering.
Antireq: MATH 116, 117, 127, 137, 147

SYDE 112 LEC,TUT 0.50Course ID: 008926
Fundamental Engineering Math 2
Integration: Indefinite and definite integral; techniques of integration; improper integrals, numerical methods, applications. Vector differential calculus: Partial, total, and directional derivative; Gradient divergence and curl; Jacobian. Applications. [Offered: S]
Prereq: 1B Systems Design Engineering.
Antireq: MATH 118, 119, 128, 138, 148

SYDE 113 LEC,TUT 0.25Course ID: 013144
Matrices and Linear Systems
Geometry and algebra: root-finding, vectors, coordinate systems, lines and planes, conic sections, complex numbers. Introduction to numerical computation. Floating point arithmetic, accuracy and sources of error. Matrix algebra, inverses. Analytical and numerical techniques for systems of linear equations. [Offered: F]
Prereq: 1A Systems Design Engineering

SYDE 114 LEC,TUT 0.25Course ID: 008928
Numerical and Applied Calculus
Matrices and linear systems: determinants, eigenvalues and eigenvectors, LU decomposition, conditioning, numerical methods. First order ordinary differential equations: analytical techniques, applications, elementary numerical methods, convergence. [Offered: S]
Prereq: 1B Systems Design Engineering

SYDE 121 LAB,LEC,TUT 0.50Course ID: 008929
Digital Computation
Computer systems, problem solving, data and programs, structured programming, arrays, matrices and pointers, correct and efficient algorithms, data structures. [Offered: F]
Prereq: 1A Systems Design Engineering.
Antireq: CHE 121, CIVE 121, ECE 150, GENE 121

SYDE 161 LEC,TUT 0.50Course ID: 008933
Introduction to Design
Multidisciplinary system design, the design process, problem definition, life-cycle design, design specification, concept/design generation and evaluation, design for manufacturing and assembly, system modelling and analysis, introduction to mechanical design, prototyping, safety and responsibility in engineering design, design documentation. [Offered: F]
Prereq: 1A Systems Design Engineering

SYDE 162 LEC,TUT 0.50Course ID: 008932
Human Factors in Design
Design of human-machine environments, design to reduce human error. Analytical methods of determining user needs in systems with humans. Information processing and human sensory processes and consideration of these elements in the design of systems with humans. Human physical capabilities and consideration of these in ergonomic design. [Offered: S]
Prereq: (1B Systems Design Engineering) or Ergonomics Option or Biomechanics Option

SYDE 181 LEC,TUT 0.50Course ID: 008934
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. [Offered: F]
Prereq: 1A Systems Design Engineering

SYDE 182 LEC,TUT 0.50Course ID: 008935
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. [Offered: F, W, S]
Prereq: 1B Systems Design Engineering or 2A Mechatronics Engineering students only

SYDE 192 LEC,TUT 0.50Course ID: 008938
Digital Systems
Digital technology, combinatorial logic, binary arithmetic, synchronous sequential circuits, design methodology, algorithmic state machines, microcomputer interfacing. [Offered: S]
Prereq: 1B Systems Design Engineering

SYDE 192L LAB 0.25Course ID: 012858
Digital Systems Laboratory
Laboratory experiments for students taking SYDE 192. [Offered: S]
Prereq: 1B Systems Design Engineering

SYDE 200s


SYDE 201 SEM 0.00Course ID: 009343
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 course. [Offered: W]
Prereq: 2A Systems Design Engineering

SYDE 202 SEM 0.00Course ID: 009344
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 course. [Offered: F]
Prereq: 2B Systems Design Engineering

SYDE 211 LEC,TUT 0.50Course ID: 008939
Advanced Engineering Math 1
Vector calculus: double and triple integrals, line and surface integrals, fundamental theorems, applications. Difference methods: root-finding, finite and divided differences, numerical differentiation, interpolation. Second order linear ordinary differential equations and systems. Applications in vibration. [Offered: W]
Prereq: 2A Systems Design Engineering

SYDE 212 LEC,TUT 0.50Course ID: 013145
Probability and Statistics
Elementary probability theory. Random variables and distributions. Binomial, Poisson, and normal distributions. Elementary sampling. Statistical estimation. Tests of hypotheses and significance. Regression. Goodness-of-fit tests. Analysis of experimental measurements. [Offered: F]
Prereq: Level at least 2B Systems Design Engineering.
Antireq: CIVE 224, ECE 316, NE 115

SYDE 223 LAB,LEC,TUT 0.50Course ID: 008957
Data Structures and Algorithms
Algorithms and Data Structures emphasizes the following topics: structured software design, data structures, abstract data types, recursive algorithms, algorithm analysis and design, sorting and searching, hashing, problem-solving strategies and NP-completeness. [Offered: W]
Prereq: (2A Systems Design Engineering) or Computer Engineering Option.
Antireq: CS 240, ECE 250, MTE 140

SYDE 252 LEC,TUT 0.50Course ID: 008945
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. [Offered: F, S]
Prereq: Level at least 2B Systems Design Engineering or 2B Mechanical Engineering or 2B Mechatronics Engineering

SYDE 261 LEC,TUT 0.50Course ID: 012861
Design, Systems, and Society
This non-technical course will help students understand how others think about technology and then use this knowledge to make better choices when designing, specifying, choosing and implementing technology. The course includes topics such as: meanings of design and their implications; designed in/designed out analysis; reductionism and integration in design; the limits of objective thinking; alternate ways to define function; content and context; "we/me/them/it" analysis; redefining what constitutes acceptable technology; learning from the margins; reading design and understanding system boundaries as being defined by what we do rather than what we say. [Offered: W]
Prereq: 2A Systems Design Engineering.
Antireq: STV 202

SYDE 262 LEC,TUT 0.50Course ID: 008958
Engineering Economics of Design
This course examines a variety of economic factors in Engineering and how they impact design. Topics include business plans, price and output decisions, choosing among alternative inputs, production processes, evaluating alternative investments, equipment service life and depreciation, new products. [Offered: F]
Prereq: 2B Systems Design Engineering.
Antireq: MSCI 261

SYDE 283 LEC,TUT 0.50Course ID: 008950
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. [Offered: W]
Prereq: 2A Systems Design Engineering

SYDE 285 LEC,TUT 0.50Course ID: 008936
Materials Chemistry
The course will present how the fundamentals of chemistry are applied to materials science and engineering. Concepts such as chemical bonding, crystal structure, phase diagram, redox reaction, and electrochemistry will be introduced in the context of materials science. Properties, processing and structure of metals, semiconductors, polymers, ceramic, nanomaterials and biomaterials will be presented. [Offered: W]
Prereq: 2A Systems Design Engineering

SYDE 286 LEC,TUT 0.50Course ID: 008948
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. Introduction to instability. [Offered: F]
Prereq: Level at least 2A Systems Design Engineering.
Antireq: CIVE 204, ME 219

SYDE 292 LEC,TUT 0.50Course ID: 008952
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. [Offered: F]
Prereq: (2B Systems Design Engineering) or Mechatronics Option

SYDE 292L LAB 0.25Course ID: 012859
Circuits, Instrumentation, and Measurements Laboratory
Laboratory experiments for students taking SYDE 292. [Offered: F]
Prereq: 2B Systems Design Engineering

SYDE 300s


SYDE 301 SEM 0.00Course ID: 009345
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 course. [Offered: S]
Prereq: 3A Systems Design Engineering

SYDE 302 SEM 0.00Course ID: 009346
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 course. [Offered: W]
Prereq: 3B Systems Design Engineering

SYDE 311 LEC,TUT 0.50Course ID: 008953
Advanced Engineering Math 2
Series solutions of ordinary differential equations: Bessel functions, orthogonal functions, Fourier expansions and integral, Legendre polynomials, Sturm-Liouville systems. Partial differential equations: parabolic, hyperbolic and elliptic equations, numerical methods. Numerical integration: Gaussian quadrature, Runge-Kutta methods. Nonlinear systems: qualitative analysis, phase plane, Newton-Raphson method. [Offered: S]
Prereq: 3A Systems Design Engineering

SYDE 312 LEC,TUT 0.50Course ID: 008954
Applied Linear Algebra
Vector spaces, linear independence, linear maps and matrix representations. Inner product spaces and orthogonality. Gramm-Schmidt algorithm and orthogonal projection. Interpolation and curve-fitting. Eigenvalues and eigenvectors, diagonalization, singular value decomposition. Applications and numerical methods. [Offered: W]
Prereq: 3B Systems Design Engineering

SYDE 322 LEC,TUT 0.50Course ID: 008943
Software Design
Software requirements specification; software architecture; design patterns; software testing and quality assurance; software maintenance; design of efficient algorithms and methods for their analysis, mathematical algorithms, string processing algorithms, geometrical algorithms, exhaustive search and traversal techniques, introduction to lower bound theory and NP-completeness. Case studies and engineering examples. [Offered: W]
Prereq: CS 240 or ECE 250 or MTE 140 or SYDE 223 or Level at least 3B Systems Design Engineering.

SYDE 332 LEC,TUT 0.50Course ID: 013382
Societal and Environmental Systems
The interactions of human society with its physical environment are complex and multifaceted. The course surveys the mathematics needed to understand such interactions, including dynamic systems, complex and nonlinear systems, self-organizing systems, remote sensing, and statistical inference. The mathematical methods will be motivated by a set of case studies, a systems engineering perspective to investigate pressing large-scale interconnected problems such as global warming, energy shortages, water dead zones, desertification, food crises, overpopulation, poverty and economic instability. [Offered: W]
Prereq: Level at least 3B Systems Design Engineering

SYDE 334 LEC,TUT 0.50Course ID: 008961
Applied Statistics
Review of basic Normal theory, t, chi-squared, 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. [Offered: W]
Prereq: SYDE 212 (with minimum grade of 70%); Level at least 3B Systems Design Engineering.
Antireq: STAT 331, 371.

SYDE 348 LEC 0.50Course ID: 010066
User Centred Design Methods
This course approaches the design tasks, tools, products and systems from a user-centered design perspective. Emphasis is on the human factors and usability methods and techniques that can and should be applied throughout 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 user interface. Major topics include: function and task analysis, usability analysis, prototyping and evaluation, user interaction styles, interface design, user designing to guidelines and standards. [Offered: W]
Prereq: (Level at least 3B Systems Design Engineering) or (Level at least 4A Mechatronics Engineering or Biomechanics Option or Ergonomics Option).
Antireq: CS 449, MSCI 343.

SYDE 351 LEC,TUT 0.50Course ID: 008964
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. [Offered: W, S]
Prereq: 3A Systems Design Engineering or (MATH 115 and MTE 202 and level at least 3A Mechatronics Engineering)

SYDE 352 LEC,TUT 0.50Course ID: 008965
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.(labs alt. weeks) [Offered: W]
Prereq: 3B Systems Design Engineering

SYDE 352L LAB 0.25Course ID: 012860
Control Systems Laboratory
Laboratory experiments for students taking SYDE 352. [Offered: W]
Prereq: 3B Systems Design Engineering

SYDE 361 LAB,LEC,TUT 0.50Course ID: 008968
Engineering 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. [Offered: S]
Prereq: 3A Systems Design Engineering

SYDE 362 LAB,LEC 0.50Course ID: 008969
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. [Offered: W]
Prereq: 3B Systems Design Engineering

SYDE 372 LEC,TUT 0.50Course ID: 008972
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. [Offered: W]
Prereq: (Level at least 3B Systems Design Engineering) or (Level at least 4A Mechatronics Engineering) or Mechatronics Option or Biomechanics Option

SYDE 381 LEC,TUT 0.50Course ID: 008973
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. Introduction to heat transfer by conduction, convection, and radiation. Applications focus on problems of energy and environment. The concepts of statistical thermodynamics are introduced. [Offered: S]
Prereq: 3A Systems Design Engineering.
Antireq: ECE 309, ME 250

SYDE 383 LAB,LEC,TUT 0.50Course ID: 008949
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. [Offered: S]
Prereq: Level at least 3A Systems Design Engineering.
Antireq: ME 351

SYDE 384 LEC,TUT 0.50Course ID: 013384
Biological and Human Systems
In this course, students will become familiar with the physiology and anatomical structures of the human body. The structure, functions and properties of the major biological systems (musculoskeletal, nervous, and cardiovascular) will be presented in relation to modeling biological systems and the design of biomedical devices (imaging, assistive and diagnostic). Various aspects of pathology and how they influence measurements will also be introduced. [Offered: W]
Prereq: (Level at least 3B Engineering) or (Level at least 3B Honours Physics (Biophysics specialization) and permission of instructor).
Antireq: BIOL 273

SYDE 400s


SYDE 401 SEM 0.00Course ID: 009347
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 course. [Offered: F]
Prereq: 4A Systems Design Engineering

SYDE 402 SEM 0.00Course ID: 009348
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 course. [Offered: W]
Prereq: 4B Systems Design Engineering

SYDE 411 LEC,TUT 0.50Course ID: 013146
Optimization and Numerical Methods
Root-finding methods. Linear programming, simplex and interior-point methods. Local and global optimization methods. Constrained optimization. Multiobjective and multidisciplinary design optimization.[Offered: F]
Prereq: 4A Systems Design Engineering

SYDE 461 LAB,LEC 0.50Course ID: 008993
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. [Offered: F]
Prereq: 4A Systems Design Engineering.

SYDE 462 LAB,LEC 0.50Course ID: 008994
Systems Design Workshop 3
The concluding half of the fourth year Systems Design Workshop. [Offered: W]
Prereq: 4B Systems Design Engineering.

SYDE 500s


SYDE 522 LEC,TUT 0.50Course ID: 008981
Machine Intelligence
The objective of this course is to introduce the students to current intelligent system concepts. An overview of different learning schemes will be provided, including: Decision Tree, Bayesian, Inductive, Analytical and Rule-based Learning. The main focus of the course will be on Neural Nets, Genetic Algorithms and Reinforcement Learning. [Offered: W]
Prereq: One of SYDE 223, MTE 140, ECE 250, CS 240 and Systems Design Engineering or level at least 4A Mechatronics Engineering or Mechatronics Option or Computer Engineering Option.
Antireq: ECE 457A

SYDE 531 LEC,TUT 0.50Course ID: 013383
Design Optimization Under Probabilistic Uncertainty
Optimization methods for real world problems have to deal with probabilistic uncertainty either due to data uncertainty or manufacturing uncertainty or both. Maximizing the expected value of the objective function subject to reliability (or risk) constraints is commonly used in such design or decision-making problems. Common methods used are stochastic programming, stochastic dynamic programming, chance-constraints, yield optimization and tolerance design. Example applications are selected from water management, energy systems, financial engineering, and manufacturing. [Offered: W]
Prereq: Level at least 3B Systems Design Engineering

SYDE 533 LEC,TUT 0.50Course ID: 009003
Conflict Resolution
Formal methods for studying engineering decision making problems involving multiple participants and multiple objectives. Topics include the graph model for conflict resolution, normal game form, metagame analysis, games with misperceptions, preference elicitation, human behaviour under conflict, evolution of a conflict, decision making under uncertainty, sensitivity analyses, multiple criteria decision analysis, group decision and negotiation, coalition analysis, decision support systems, and real-world applications of the foregoing concepts. [Offered: F]

SYDE 542 LEC 0.50Course ID: 010067
Interface Design
This course focuses on the design of computer interfaces for simple to complex systems. Examples of applications will be used to illustrate theoretical approaches. Main topics include: forms of visual display; auditory display and soft controls; context, integration, and navigation; techniques for interface design; ecological interface design. [Offered: W]
Prereq: One of SYDE 162 or 348 or 543 and Systems Design Engineering or (level at least 4A Mechatronics Engineering) or Ergonomics Option

SYDE 543 LEC,TUT 0.50Course ID: 009006
Cognitive Ergonomics
This course focuses on the role engineering psychology research plays in design of the information displays and devices associated with simple and complex cognitive tasks. Main topics include: signal detection and target location tasks, navigation tasks, training tasks, communication tasks, human error, stress and mental workload, supervisory control, and situational awareness. [Offered: F]
Prereq: Systems Design Engineering or (Level at least 4A Mechatronics Engineering) or Ergonomics Option or Biomechanics Option

SYDE 544 LEC,TUT 0.50Course ID: 008988
Biomedical Measurement and Signal Processing
This course develops an understanding of biomedical measurements through the examination of electromyographic (EMG), and electroencephalographic (EEG), electrocardiographic (ECG) signals. Measurement of human-body position, force, and pressure, and related instrumentation will also be presented. Signal processing techniques will be discussed in the context of extraction and application of useful biomedical signals. [Offered: W]
Prereq: BIOL 273 or SYDE 384; Level at least 3B Systems Design Engineering or Level at least 3B Honours Life Physics (Biophysics Specialization) and permission of the instructor.

SYDE 552 LEC,TUT 0.50Course ID: 014290
Computational Neuroscience
Introduction to quantitative principles in the analysis of neurophysiological systems. Biophysics of excitable membranes. Encoding of sensory information in neural spiking activity. Bayesian models in perception and motor control. Models of synaptic plasticity, learning, and memory. [Note for Systems Design Engineering students: It is recommended that one of BIOL 273, 376, 377 or SYDE 384 be taken before or concurrently with SYDE 552. Offered: W]
Prereq: Level at least 3B Systems Design Engineering
(Cross-listed with BIOL 487)

SYDE 553 LEC,TUT 0.50Course ID: 009010
Advanced Dynamics
Newtonian and Eulerian formulation of particle and rigid body kinematics and dynamics. Energy (Lagrangian and Hamiltonian) formulations of particle and rigid body dynamics; generalized coordinates, generalized forces, holonomic constraints, Lagrange multipliers. [Offered: F]
Prereq: (Level at least 3B Systems Design Engineering) or (Level at least 4A Mechatronics Engineering) or Mechatronics Option or Biomechanics Option

SYDE 556 LEC 0.50Course ID: 012084
Simulating Neurobiological Systems
This course develops and applies a general framework for understanding neural computation in the context of recent advances in theoretical and experimental neuroscience. Particular emphasis is placed on understanding representation, nonlinear computation, and dynamics in real neurobiological systems. Students will apply signal processing, control theory, linear algebra, probability theory, and similar quantitative tools for the purpose of modelling sensory, motor, and cognitive systems. Topics covered include single neuron function, neural coding, neural dynamics, attractor networks, learning, statistical inference, locomotion, working memory, etc. Familiarity with neural systems is helpful but not essential. [Offered: W]
Prereq: SYDE 252

SYDE 575 LAB,LEC,TUT 0.50Course ID: 009016
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. The key methods and problems are surveyed: edge detection, image denoising, image segmentation, image enhancement, image compression, image registration, and feature detection. Applications to machine vision, remote sensing, and medical imaging will be emphasized. [Offered: F]
Prereq: SYDE 252; (Level at least 3B Systems Design Engineering) or (Level at least 4A Mechatronics Engineering) or Mechatronics Option or Biomechanics Option