The objective of this course is to introduce students to fundamental concepts of Artificial Intelligence. An overview of different learning schemes will be provided, including supervised and unsupervised algorithms. The focus of this course will be on dimensionality reduction, clustering, classification, deep and shallow artificial neural networks, and reinforcement learning. Ethical aspects of artificial intelligence will be discussed. [Offered: W]Prereq: One of BME 122, CS 240/240E, ECE 250, MSCI 240, MTE 140, SYDE 223 and Biomedical Engineering or SYDE or level at least 4A Management Engineering or Mechatronics Eng or Mechatronics Option or Computer Eng Option.Antireq:CS 480,486, ECE 457A,457B SYDE 531 LEC,TUT 0.50Course ID: 013383Design Optimization Under Probabilistic UncertaintyOptimization 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]
SYDE 532 LEC,TUT 0.50Course ID: 013382Introduction to Complex SystemsThe overwhelming majority of societal and ecological issues of pressing importance are complex systems; nonlinear interacting systems poorly characterized by linear analyses and Gaussian statistics. This course introduces the mathematics needed to understand such interactions, including nonlinear dynamics, critical and bifurcation behaviours, large-scale systems, power-law distributions, and statistical inference. The mathematical methods will be motivated by a set of case studies comprised of pressing large-scale interconnected problems such as global warming, energy shortages, desertification, overpopulation, poverty, and economic instability, to be investigated from a systems engineering perspective that will connect the mathematical analyses to real-world examples. [Offered: W]Prereq: Level at least 3A Biomedical Engineering or Level at least 3B Systems Design Engineering
SYDE 533 LEC,TUT 0.50Course ID: 009003Conflict ResolutionFormal 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,TUT 0.50Course ID: 010067Interface DesignThis course focuses on the design of computer interfaces for simple to complex systems. Examples of applications are used to illustrate theoretical approaches. Main topics include forms of visual display; auditory display and soft controls; context, navigation, and layout; development techniques; design for engagement. [Offered: W]Prereq: One of BME 162, MSCI 343, SYDE 162, 348/548, 543; Biomedical Engineering or Systems Design Engineering or (level at least 4A Management Engineering or 4A Mechatronics Engineering) or Ergonomics and Injury Prevention Minor SYDE 543 LEC,TUT 0.50Course ID: 009006Cognitive ErgonomicsThis 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: Biomedical Engineering or Systems Design Engineering or (Level at least 4A Mechatronics Engineering) or Biomechanics Option or Ergonomics and Injury Prevention Minor SYDE 544 LEC,TUT 0.50Course ID: 008988Biomedical Measurement and Signal ProcessingThis course develops an understanding of biomedical measurements through the examination of electromyographic (EMG), electroencephalographic (EEG), and 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: One of BIOL 273, BME 284, SYDE 384/584; Level at least 3A Biomedical Engineering or Level at least 3B Systems Design Engineering or Level at least 3B Honours Life Physics (Biophysics Specialization)
SYDE 548 LEC,TUT 0.50Course ID: 010066User Centred Design MethodsThis course approaches the design of 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 user research methods for usability and user experience, inspection methods, user testing, applied statistical analysis. [Offered: W]Prereq: (Level at least 3A Biomedical Engineering) or (Level at least 3B Systems Design Engineering) or (Level at least 4A Mechatronics Engineering or Biomechanics Option or Ergonomics and Injury Prevention Minor).Antireq: CS 449, MSCI 343
SYDE 552 LEC,TUT 0.50Course ID: 014290Computational NeuroscienceIntroduction to modelling and analysis of neurophysiological systems. Models of synaptic plasticity and learning, with focus on the similarities and differences between neuroscience and deep learning.[Note: For systems design engineering students: It is recommended that one of BIOL 273, 376, 377 or BME 284 or SYDE 384/584 be taken before or concurrently with SYDE 552. Offered: W]Prereq: Level at least 3A Biomedical Engineering or Level at least 3B Systems Design Engineering(Cross-listed with BIOL 487)
SYDE 553 LEC,TUT 0.50Course ID: 009010Advanced DynamicsNewtonian and Eulerian formulation of particle and rigid body kinematics and dynamics. Energy (Lagrangian and Hamiltonian) formulations of particle and rigid body dynamics; generalized co-ordinates, generalized forces, holonomic constraints, Lagrange multipliers. [Offered: F]Prereq: (Level at least 3A Biomedical Engineering) or (Level at least 3B Systems Design Engineering) or (Level at least 4A Mechatronics Engineering) or Mechatronics Option or Biomechanics Option
SYDE 556 LEC,TUT 0.50Course ID: 012084Simulating Neurobiological SystemsThis 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: F]Prereq: BME 252 or SYDE 252 SYDE 572 LEC,TUT 0.50Course ID: 008972Introduction to Pattern RecognitionPattern 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 3A Biomedical Engineering) or (Level at least 3B Systems Design Engineering) or (Level at least 4A Mechatronics Engineering) or Mechatronics Option or Biomechanics Option
SYDE 575 LAB,LEC,TUT 0.50Course ID: 009016Image ProcessingBeginning 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: BME 252 or SYDE 252; (Level at least 3A Biomedical Engineering) or (Level at least 3B Systems Design Engineering) or (Level at least 4A Mechatronics Engineering) or Mechatronics Option or Biomechanics Option
SYDE 584 LEC,TUT 0.50Course ID: 013384Physiological Systems and Biomedical DesignIn this course, students will become familiar with the physiology and anatomical structures of the human body. The structure, functions, and properties of major physiological systems (e.g., musculoskeletal, nervous, cardiovascular, and respiratory) will be presented in relation to modelling physiological 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: F]Prereq: (Level at least 3B Engineering) or (Level at least 3B Honours Life Physics (Biophysics specialization)).Antireq: BIOL 273, BME 284
SYDE 599 LEC,TUT 0.50Course ID: 016273Special Topics in Systems Design EngineeringThis course deals with selected topics at the undergraduate level in environmental and societal systems, mechatronics and physical systems, or human factors and ergonomics.[Note: For a current list of offerings, see the associate chair of undergraduate studies. Offered: F,W]Department Consent RequiredPrereq: Level at least 3A Engineering students
SYDE 522 LEC,TUT 0.50
Course ID: 008981
Foundations of Artificial Intelligence
The objective of this course is to introduce students to fundamental concepts of Artificial Intelligence. An overview of different learning schemes will be provided, including supervised and unsupervised algorithms. The focus of this course will be on dimensionality reduction, clustering, classification, deep and shallow artificial neural networks, and reinforcement learning. Ethical aspects of artificial intelligence will be discussed. [Offered: W]
Prereq: One of BME 122, CS 240/240E, ECE 250, MSCI 240, MTE 140, SYDE 223 and Biomedical Engineering or SYDE or level at least 4A Management Engineering or Mechatronics Eng or Mechatronics Option or Computer Eng Option.
Antireq:CS 480,486, ECE 457A,457B
SYDE 531 LEC,TUT 0.50
Course 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]
SYDE 532 LEC,TUT 0.50
Course ID: 013382
Introduction to Complex Systems
The overwhelming majority of societal and ecological issues of pressing importance are complex systems; nonlinear interacting systems poorly characterized by linear analyses and Gaussian statistics. This course introduces the mathematics needed to understand such interactions, including nonlinear dynamics, critical and bifurcation behaviours, large-scale systems, power-law distributions, and statistical inference. The mathematical methods will be motivated by a set of case studies comprised of pressing large-scale interconnected problems such as global warming, energy shortages, desertification, overpopulation, poverty, and economic instability, to be investigated from a systems engineering perspective that will connect the mathematical analyses to real-world examples. [Offered: W]
Prereq: Level at least 3A Biomedical Engineering or Level at least 3B Systems Design Engineering
SYDE 533 LEC,TUT 0.50
Course 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,TUT 0.50
Course ID: 010067
Interface Design
This course focuses on the design of computer interfaces for simple to complex systems. Examples of applications are used to illustrate theoretical approaches. Main topics include forms of visual display; auditory display and soft controls; context, navigation, and layout; development techniques; design for engagement. [Offered: W]
Prereq: One of BME 162, MSCI 343, SYDE 162, 348/548, 543; Biomedical Engineering or Systems Design Engineering or (level at least 4A Management Engineering or 4A Mechatronics Engineering) or Ergonomics and Injury Prevention Minor
SYDE 543 LEC,TUT 0.50
Course 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: Biomedical Engineering or Systems Design Engineering or (Level at least 4A Mechatronics Engineering) or Biomechanics Option or Ergonomics and Injury Prevention Minor
SYDE 544 LEC,TUT 0.50
Course ID: 008988
Biomedical Measurement and Signal Processing
This course develops an understanding of biomedical measurements through the examination of electromyographic (EMG), electroencephalographic (EEG), and 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: One of BIOL 273, BME 284, SYDE 384/584; Level at least 3A Biomedical Engineering or Level at least 3B Systems Design Engineering or Level at least 3B Honours Life Physics (Biophysics Specialization)
SYDE 548 LEC,TUT 0.50
Course ID: 010066
User Centred Design Methods
This course approaches the design of 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 user research methods for usability and user experience, inspection methods, user testing, applied statistical analysis. [Offered: W]
Prereq: (Level at least 3A Biomedical Engineering) or (Level at least 3B Systems Design Engineering) or (Level at least 4A Mechatronics Engineering or Biomechanics Option or Ergonomics and Injury Prevention Minor).
Antireq: CS 449, MSCI 343
SYDE 552 LEC,TUT 0.50
Course ID: 014290
Computational Neuroscience
Introduction to modelling and analysis of neurophysiological systems. Models of synaptic plasticity and learning, with focus on the similarities and differences between neuroscience and deep learning.
[Note: For systems design engineering students: It is recommended that one of BIOL 273, 376, 377 or BME 284 or SYDE 384/584 be taken before or concurrently with SYDE 552. Offered: W]
Prereq: Level at least 3A Biomedical Engineering or Level at least 3B Systems Design Engineering
(Cross-listed with BIOL 487)
SYDE 553 LEC,TUT 0.50
Course 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 co-ordinates, generalized forces, holonomic constraints, Lagrange multipliers. [Offered: F]
Prereq: (Level at least 3A Biomedical Engineering) or (Level at least 3B Systems Design Engineering) or (Level at least 4A Mechatronics Engineering) or Mechatronics Option or Biomechanics Option
SYDE 556 LEC,TUT 0.50
Course 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: F]
Prereq: BME 252 or SYDE 252
SYDE 572 LEC,TUT 0.50
Course 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 3A Biomedical Engineering) or (Level at least 3B Systems Design Engineering) or (Level at least 4A Mechatronics Engineering) or Mechatronics Option or Biomechanics Option
SYDE 575 LAB,LEC,TUT 0.50
Course 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: BME 252 or SYDE 252; (Level at least 3A Biomedical Engineering) or (Level at least 3B Systems Design Engineering) or (Level at least 4A Mechatronics Engineering) or Mechatronics Option or Biomechanics Option
SYDE 584 LEC,TUT 0.50
Course ID: 013384
Physiological Systems and Biomedical Design
In this course, students will become familiar with the physiology and anatomical structures of the human body. The structure, functions, and properties of major physiological systems (e.g., musculoskeletal, nervous, cardiovascular, and respiratory) will be presented in relation to modelling physiological 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: F]
Prereq: (Level at least 3B Engineering) or (Level at least 3B Honours Life Physics (Biophysics specialization)).
Antireq: BIOL 273, BME 284
SYDE 599 LEC,TUT 0.50
Course ID: 016273
Special Topics in Systems Design Engineering
This course deals with selected topics at the undergraduate level in environmental and societal systems, mechatronics and physical systems, or human factors and ergonomics.
[Note: For a current list of offerings, see the associate chair of undergraduate studies. Offered: F,W]
Department Consent Required
Prereq: Level at least 3A Engineering students
明天的schedule,但我不知没注册能不能去,你最好确认下哈
地址:Bahen Centre for Information Technology
:
知道今年接了SYDE offer的孩子有UW CS和ES都录的,最后选了SYDE
我女儿 IB 均分98,也是所有报的都给了offer 包括艺术院校😛