ECSE 500. Mathematical Foundations of Systems.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering) Terms offered: Fall 2025 View offerings for Fall 2025 in Visual Schedule Builder.
Description
Basic set theories and algebraic structures, linear spaces, linear mappings, topological and metric spaces, separable spaces, continuity, compactness, Lebesque measure on Euclidean spaces, measurability, Banach spaces, Hilbert spaces, linear bounded operators in Banach spaces, dual spaces, adjoint operators, the Orthogonal Projection Theorem, properties of the Fourier series, convergence in probability.
- (3-0-6)
- Restriction: Open only to graduate students within the Faculty of Engineering.
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ECSE 501. Linear Systems.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering) Terms offered: Fall 2025 View offerings for Fall 2025 in Visual Schedule Builder.
Description
Mathematical models of linear systems, fundamental solution and transition matrices, non-homogeneous linear equations, controllability and observability of linear systems, reachable subspaces, Cayley-Hamilton's Theorem, Kalman's controllability and observability rank conditions, minimal realizations, frequency response, invariant subspaces, finite and infinite horizon linear regulator problems, uniform, exponential, and input-output stability, the Lyapunov equation.
- (3-0-6)
- Corequisite: ECSE 500 or permission of instructor
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Course information not available. ECSE 506. Stochastic Control and Decision Theory.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering) Terms offered: Winter 2026 View offerings for Winter 2026 in Visual Schedule Builder.
Description
Modelling of stochastic control systems, controlled Markov processes, dynamic programming, imperfect and delayed observations, linear quadratic and Gaussian (LQG) systems, team theory, information structures, static and dynamic teams, dynamic programming for teams,multi-armed bandits.
- (3-0-6)
- Prerequisites: ECSE 509
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ECSE 507. Optimization and Optimal Control.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering) Terms offered: Winter 2026 View offerings for Winter 2026 in Visual Schedule Builder.
Description
General introduction to optimization methods including steepest descent, conjugate gradient, Newton algorithms. Generalized matrix inverses and the least squared error problem. Introduction to constrained optimality; convexity and duality; interior point methods. Introduction to dynamic optimization; existence theory, relaxed controls, the Pontryagin Maximum Principle. Sufficiency of the Maximum Principle.
- (3-0-6)
- Prerequisite(s): ECSE 343 or ECSE 543 or ECSE501 or COMP 540 or MATH 247 or permission of the instructor.
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ECSE 508. Multi-Agent Systems.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering)
This course is not offered this catalogue year.
Description
Introduction to game theory, strategic games, extensive form games with perfect and imperfect information, repeated games and folk theorems, cooperative game theory, introduction to mechanism design, markets and market equilibrium, pricing and resource allocation, application in telecommunication networks, applications in communication networks, stochastic games.
- (3-0-6)
- Prerequisite(s): ECSE 205 or equivalent.
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ECSE 509. Probability and Random
Signals 2.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering) Terms offered: Fall 2025 View offerings for Fall 2025 in Visual Schedule Builder.
Description
Multivariate Gaussian distributions; finite-dimensional mean-square estimation (multivariate case); principal components; introduction to random processes; weak stationarity: correlation functions, spectra, linear processing and estimation; Poisson processes and Markov chains: state processes, invariant distributions; stochastic simulation.
- (3-1-5)
- Prerequisites: (ECSE 206 or ECSE 316) and ECSE 205.
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ECSE 510. Filtering and Prediction for Stochastic Systems.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering)
This course is not offered this catalogue year.
Description
Electrical Engineering: Basic notions. Linear state space (SS) systems. Least squares estimation and prediction: conditional expectations; Orthogonal Projection Theorem. Kalman filtering; Riccati equation. ARMA systems. Stationary processes; Wold decomposition; spectral factorization; Wiener filtering. The Wiener processes; stochastic differential equations. Chapman-Kolmogorov, Fokker-Plank equations. Continuous time nonlinear filtering. Particle filters. Applications.
- (3-0-6)
- Prerequisites: ECSE 500 and ECSE 509 or equivalent.
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ECSE 511. Introduction to Digital Communication.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering)
This course is not offered this catalogue year.
Description
Amplitude and angle modulation including AM, FM, FDM and television systems; introduction to random processes; sampling and quantization, PCM systems, TDM; digital modulation techniques, Maximum-Likelihood receivers, synchronization issues; elements of information theory including information sources, source coding and channel capacity.
- (3-1-5)
- Prerequisite: ECSE 304 or ECSE 308 or ECSE 316.
- Corequisite: ECSE 509
- An advanced version of ECSE 411
- Tutorials assigned by instructor.
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ECSE 512. Digital Signal Processing 1.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering) Terms offered: Fall 2025 View offerings for Fall 2025 in Visual Schedule Builder.
Description
Review of discrete-time transforms, sampling and quantization, frequency analysis. Structures for IIR and FIR filters, coefficient quantization, roundoff noise. The DFT, its properties, frequency analysis and filtering using DFT methods, the FFT and its implementation. Multirate processing, subsampling and interpolation, oversampling techniques.
- (3-2-4)
- Prerequisites: (ECSE 206 or ECSE 316) and ECSE 205.
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ECSE 513. Robust Control Systems.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering) Terms offered: Winter 2026 View offerings for Winter 2026 in Visual Schedule Builder.
Description
Feedback interconnections of LTI systems; Nominal stability and performance of feedback control systems; Norms of signals and systems; H2-optimal control; H-infinity-optimal control; Uncertainty modelling for robust control; Robust closed-loop stability and performance; Robust H-infinity control; Robustness check using mu-analysis; Robust controller design via mu-synthesis.
- (3-0-6)
- Prerequisites: ECSE 500 and (ECSE 304 or ECSE 206 or ECSE 316)
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ECSE 515. Optical Fibre Communications.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering) Terms offered: Winter 2026 View offerings for Winter 2026 in Visual Schedule Builder.
Description
Optical fibre communication technology and principles of optical transport: modulation formats, signal propagation and impairments in optical fibres, sources of noise, amplification and regeneration, optical signal processing technologies, system design.
- (3-1-5)
- Prerequisites: ECSE 571 and (ECSE 304 or ECSE 308 or ECSE 316) and (ECSE 305 or ECSE 205)
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ECSE 516. Nonlinear and Hybrid Control Systems.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering)
This course is not offered this catalogue year.
Description
Examples of hybrid control systems (HCS). Review of nonlinear system state, controllability, observability, stability. HCS specified via ODEs and automata. Continuous and discrete states and dynamics; controlled and autonomous discrete state switching. HCS stability via Lyapunov theory and LaSalle Invariance Principle. Hybrid Maximum Principle and Hybrid Dynamic Programming; computational algorithms.
- Prerequisites: ECSE 500 and ECSE 501 or equivalent
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ECSE 517. Neural Prosthetic Systems.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering)
This course is not offered this catalogue year.
Description
Selected topics in bioengineering focusing on the principles of neural prosthetics systems (brain machine interfaces). Paralysis as a communication problem. Motor control theory receptive fields. Electrical properties of the central nervous system, modern measurement technologies, encoding and mutual information, statistical data analysis, decoding and thought prediction.
- Prerequisites: (ECSE 303 or ECSE 306 or ECSE 206 or ECSE 316) and (ECSE 305 or ECSE 205) or permission of instructor
- Restriction: Accessible only to Honours Electrical Engineering students and Graduate students in Engineering
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ECSE 518. Telecommunication Network Analysis.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering)
This course is not offered this catalogue year.
Description
Mathematical modeling and analysis techniques for the control and management of modern networks. Introduction to queuing networks; birth/death processes; routing optimization and fairness; multi-commodity network flow; traffic modeling; effective bandwidth and network calculus; performance modeling.
- Prerequisites: ECSE 509 and (ECSE 414 or ECSE 416 or ECSE 528 or COMP 535)
- Restriction: Accessible only to Honours Electrical Engineering students and Graduate students in Engineering
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ECSE 519. Semiconductor Nanostructures and Nanophotonic Devices.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering)
This course is not offered this catalogue year.
Description
Physics, design, synthesis, and fundamental properties of semiconductor nanostructures, quantum dots, nanowires, and nanotubes. Nanoscale confinement of radiation, properties of microcavities, whispering gallery modes, photonic crystals, strong vs. weak coupling, and Purcell effect. Quantum dot lasers, nanowire LEDs, and photonic crystal lasers. Nonclassical light sources. Solar cells and thermoelectric devices.
- Prerequisites: ECSE 354 and (ECSE 433 or ECSE 533)
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ECSE 521. Digital Communications 1.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering) Terms offered: Fall 2025 View offerings for Fall 2025 in Visual Schedule Builder.
Description
Transmission over AWGN channels: optimum receiver design, digital modulation techniques, coherent, noncoherent and differentially coherent detection. Signal design for bandlimited AWGN channels. Channel capacity. Channel coding: block codes, convolutional codes, coded modulation techniques, turbo codes. Transmission over AWGN and ISI channels: MLSE, linear equalization, decision-feedback equalization, precoding, multi-carrier transmission.
- (3-0-6)
- Prerequisite: ECSE 408
- Corequisite: ECSE 509
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ECSE 522. Nonlinear Phenomena in Power Systems Dynamics.
Credits: 4 Offered by: Electrical & Computer Engr (Faculty of Engineering) Terms offered: Winter 2026 View offerings for Winter 2026 in Visual Schedule Builder.
Description
Introduces nonlinear dynamics, with applications to generic engineering and power engineering. Topics include one- and two- dimensional systems; bifurcations;
phase plane; nonlinear oscillators; Lorenz equations and chaos. Emphasizes power system dynamic modelling and stability. Topics include synchronous machine
dynamic modelling; numerical integration methods for dynamic simulations; excitation system and turbine governor; transient stability; small signal stability; voltage stability; nonlinear dynamics and bifurcations in power system dynamic study.
- (3-0-9)
- Prerequisite(s): ECSE 361 or ECSE 362, MATH 263, ECSE 307
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ECSE 523. Speech Communications.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering)
This course is not offered this catalogue year.
Description
Articulatory and acoustic descriptions of speech production, speech production models, speech perception, digital processing of speech signals, vocodors using formant, linear predictive and cepstral techniques, overview of automatic speech recognition systems, speech synthesis systems and speaker verification systems.
- (3-0-6)
- Prerequisite: ECSE 412 or ECSE 512
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ECSE 524. Interconnects and Signal Integrity.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering)
This course is not offered this catalogue year.
Description
Interconnect structures, signal integrity issues: reflection, crosstalk, noise, electromagnetic interference, Lossy transmission lines, RLGC matrix representations, wave propagation in multilayered substrates, periodically loaded lines, Floquet's theorem, power distribution network, simultaneous switching noise, packaging structures, chip interconnection technologies, substrate integrated waveguides, methods for experimental characterization of interconnects, signal integrity CAD tools.
- (3-0-6)
- Prerequisites: (ECSE 334 or ECSE 335) and (ECSE 352 or ECSE 353 or ECSE 354)
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ECSE 526. Artificial Intelligence.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering) Terms offered: Fall 2025 View offerings for Fall 2025 in Visual Schedule Builder.
Description
Design principles of autonomous agents, agent architectures, machine learning, neural networks, genetic algorithms, and multi-agent collaboration. The course includes a term project that consists of designing and implementing software agents that collaborate and compete in a simulated environment.
- (3-0-6)
- Prerequisite: ECSE 324
- Restriction: Not open to students who have taken or are taking COMP 424.
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ECSE 527. Optical Engineering.
Credits: 4 Offered by: Electrical & Computer Engr (Faculty of Engineering) Terms offered: Winter 2026 View offerings for Winter 2026 in Visual Schedule Builder.
Description
A structured introduction to modern optical engineering. Topics covered include the
propagation of light through space, refraction, diffraction, polarization, lens systems, ray-tracing, aberrations, computer-aided design and optimization techniques, Gaussian beam analysis, micro-optics and computer generated
diffractive optical elements.
- (3-0-9)
- Prerequisite: ECSE 354
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Course information not available. Course information not available. Course information not available. ECSE 532. Computer Graphics.
Credits: 4 Offered by: Electrical & Computer Engr (Faculty of Engineering) Terms offered: Fall 2025 View offerings for Fall 2025 in Visual Schedule Builder.
Description
Fundamental mathematical, algorithmic and representational issues in computer graphics: overview of graphics pipeline, homogeneous coordinates, projective transformations, line-drawing and rasterization, hidden surface removal, surface modelling (quadrics, bicubics, meshes), rendering (lighting, reflectance models,
ray tracing, texture mapping), compositing colour perception, and other selected topics.
- (3-0-9)
- Prerequisite: ECSE 324
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ECSE 533. Physical Basis of Semiconductor Devices.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering)
This course is not offered this catalogue year.
Description
Quantitative analysis of diodes and transistors. Semiconductor fundamentals, equilibrium and non-equilibrium carrier transport, and Fermi levels. PN junction diodes, the ideal diode, and diode switching. Bipolar Junction Transistors (BJT), physics of the ideal BJT, the Ebers-Moll model. Field effect transistors, metal-oxide semiconductor structures, static and dynamic behaviour, small-signal models.
- (3-0-6)
- Prerequisites: PHYS 271 and (ECSE 330 or ECSE 331) and (ECSE 251 or ECSE 351)
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ECSE 534. Analog Microelectronics.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering) Terms offered: Fall 2025 View offerings for Fall 2025 in Visual Schedule Builder.
Description
Design of analog ICs using specialized analog CAD tools such as SPICE. Voltage and current amplifier design which encompasses the study of biasing circuits, current sources and mirrors, input and output stages, and frequency compensation; precision reference sources; analog multipliers; oscillators; waveform generators and shaping circuits, and analog switches.
- (3-0-6)
- Prerequisite: ECSE 335
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ECSE 535. Nanoelectronic Devices.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering)
This course is not offered this catalogue year.
Description
Physical principles and modelling of nanoelectronic devices. Bandstructure and electronic density of states, Quantum wells, wires and dots. Ballistic electron transport, tunnelling and scattering mechanisms. Electrical and optical properties of nanostructures, fundamental performance limits. Research devices and materials.
- (3-0-6)
- Prerequisites: PHYS 271 and (ECSE 352 or ECSE 354)
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ECSE 536. RF Microelectronics.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering) Terms offered: Winter 2026 View offerings for Winter 2026 in Visual Schedule Builder.
Description
Introduction to Radio Frequency Integrated Circuits and wireless transceiver architectures. Modelling of passive/active integrated devices. Design of monolithic bipolar and CMOS LNAs, mixers, filters, broadband amplifiers, RF power amplifiers, VCOs, and frequency synthesizers. Analysis of noise and non-linearity in RFICs. Project using modern RFIC simulation/layout CAD tools.
- (3-3-3)
- Prerequisite: ECSE 335 and permission of the instructor.
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ECSE 537. Advanced Digital Integrated Circuits.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering)
This course is not offered this catalogue year.
Description
Advanced concepts in the design, layout, and optimization (speed/power/area trade-offs) of digital integrated circuits in state-of-the-art technologies. Emphasis on the main design challenges (low power, process variations) due to device scaling into the nanometer node. Integrated-circuit design flow. Computer-aided design tools.
- (3-3-3)
- Prerequisites: (ECSE 323 or ECSE 325) and (ECSE 334 or ECSE 335)
- Restriction: Undergraduate: Restricted to Honours Electrical Engineering students
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ECSE 539. Advanced Software Language Engineering.
Credits: 4 Offered by: Electrical & Computer Engr (Faculty of Engineering) Terms offered: Winter 2026 View offerings for Winter 2026 in Visual Schedule Builder.
Description
Practical and theoretical knowledge for developing software languages and models; foundations for model-based software development; topics include principles of model-driven engineering; concern-driven development; intentional, structural, and behavioral models as well as configuration models; constraints; language engineering; domain-specific languages; metamodelling; model transformations; models of computation; model analyses; and modeling tools.
- Prerequisite(s): COMP 303 or ECSE 321 or permission of instructor.
- (3-2-7)
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ECSE 540. Photonic Devices and Applications.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering) Terms offered: Fall 2025 View offerings for Fall 2025 in Visual Schedule Builder.
Description
Physical basis of passive and active photonic devices, including optical waveguides and fibers, semiconductor lasers, photodetectors, modulators, and amplifiers. Applications to optical signal processing and photonic systems. Introduction to optical test-and-measurement instrumentation.
- Prerequisite(s): ECSE 354
- (3-0-6)
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ECSE 541. Design of Multiprocessor Systems-on-Chip.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering) Terms offered: Winter 2026 View offerings for Winter 2026 in Visual Schedule Builder.
Description
Modelling, design, evaluation, and optimization of multiprocessor systems-on-chips (MPSoCs). Introduction to system-level modelling of MPSoC architecture; system performance, power, and lifetime modelling; fault and defect tolerance; automatic general and heuristic design space exploration and design optimization; resource allocation, application mapping, and task scheduling.
- (3-0-6)
- Corequisites: ECSE 420 or ECSE 421 or ECSE 425 or ECSE 444
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ECSE 542. Human Computer Interaction.
Credits: 4 Offered by: Electrical & Computer Engr (Faculty of Engineering) Terms offered: Fall 2025 View offerings for Fall 2025 in Visual Schedule Builder.
Description
Design, development, and evaluation of human-computer interfaces, with emphasis on usability, interaction paradigms, computer-mediated human activities, and implications to society. These issues are studied from a number of perspectives including that of the engineer and end-user. A team-based project applies knowledge and skills to the full life cycle of an interactive human-computer interface.
- (3-0-9).
- Prerequisite(s): ECSE 324 or (COMP 251 and COMP 273) or equivalent.
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ECSE 543. Numerical Methods in Electrical Engineering.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering)
This course is not offered this catalogue year.
Description
DC resistor networks and sparse matrix methods. Nonlinear electric and magnetic circuits: curve-fitting; the Newton-Raphson method. Finite elements for electrostatics. Transient analysis of circuits: systems of Ordinary differential equations; stiff equations. Transient analysis of induced currents. Solution of algebraic eigenvalue problems. Scattering of electromagnetic waves: the boundary element method; numerical integration.
- (3-2-4)
- Prerequisites: ECSE 324, ECSE 331 and ECSE 251
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ECSE 544. Computational Photography.
Credits: 4 Offered by: Electrical & Computer Engr (Faculty of Engineering) Terms offered: Winter 2026 View offerings for Winter 2026 in Visual Schedule Builder.
Description
An overview of techniques and theory underlying computational photography. Topics include: radiometry and photometry; lenses and image formation; electronic
image sensing; colour processing; lightfield cameras; image deblurring; super-resolution methods; image denoising; flash photography; image matting and
compositing; high dynamic range imaging and tone mapping; image retargeting; image stitching.
- (3-0-9)
- Prerequisite(s): ECSE 205 and (ECSE 206 or ECSE 316)
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Course information not available. ECSE 546. Advanced Image Synthesis.
Credits: 4 Offered by: Electrical & Computer Engr (Faculty of Engineering)
This course is not offered this catalogue year.
Description
Introduction to mathematical models of light transport and the numerical techniques used to generate realistic images in computer graphics. Offline (i.e., raytracing) and interactive (i.e., shader-based) techniques. Group project addressing important applied research problems.
- (3-2-7)
- Restrictions: For graduate students in Electrical and Computer Engineering and undergraduate Honours Electrical Engineering students.
- Not open to students who have taken or are taking ECSE 446.
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Course information not available. Course information not available. ECSE 549. Expert Systems in Electrical Design.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering)
This course is not offered this catalogue year.
Description
Design processes in electrical engineering. Hierarchical design. Computer aided design. Expert system technology. Device representations, heuristics and structures, algebraic models. Design versus diagnosis, "Shallow" and "Deep" systems, second generation (multi-paradigm) systems. Shells and their uses in design systems. Knowledge acquisition systems.
- (3-0-6)
- Prerequisites: (ECSE 323 or ECSE 325) and (ECSE 361 or ECSE 362)
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ECSE 551. Machine Learning for Engineers.
Credits: 4 Offered by: Electrical & Computer Engr (Faculty of Engineering) Terms offered: Fall 2025, Winter 2026
Description
Introduction to machine learning: challenges and fundamental concepts. Supervised learning: Regression and Classification. Unsupervised learning. Curse of dimensionality: dimension reduction and feature selection. Error estimation and empirical validation. Emphasis on good methods and practices for deployment
of real systems.
- Corequisite: ECSE 343 or ECSE 543 or MATH 247
- Prerequisite(s): (ECSE 250 or COMP 250) and (ECSE 205 or MATH 323)
- Restrictions: Not open to students who have taken or are taking COMP 551.
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ECSE 552. Deep Learning.
Credits: 4 Offered by: Electrical & Computer Engr (Faculty of Engineering) Terms offered: Winter 2026 View offerings for Winter 2026 in Visual Schedule Builder.
Description
Overview of mathematical background and basics of machine learning, deep feedforward networks, regularization for deep learning, optimization for training
deep learning models, convolutional neural networks, recurrent and recursive neural networks, practical considerations,applications of deep learning, recent models and architectures in deep learning.
- Prerequisite: ECSE 551 or COMP 551
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ECSE 553. Critical Systems.
Credits: 4 Offered by: Electrical & Computer Engr (Faculty of Engineering)
This course is not offered this catalogue year.
Description
Design and assurance of critical software-intensive cyber-physical systems (CPSs). Core concepts, standard languages (SysML, Capella), techniques and tools of model-based systems used for designing such systems including: concepts like safety cases, traceability, viewpoints of system architecture or design space exploration. Safety assurance of software-intensive critical systems; design-time and run-time verification; and validation techniques. Research challenges for the safety assurance of systems driven by machine learning and other AI techniques.
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ECSE 554. Applied Robotics
.
Credits: 4 Offered by: Electrical & Computer Engr (Faculty of Engineering) Terms offered: Winter 2026 View offerings for Winter 2026 in Visual Schedule Builder.
Description
The approach and the challenges in the key components of manipulators and locomotors: representations, kinematics, dynamics, rigid-body chains, redundant
systems, underactuated systems, control, planning, and perception. Practical aspects of robotics: collisions, integrating sensory feedback, and development of real-time software.
- Prerequisites: ECSE 205, COMP 206, ECSE 250, and (ECSE 343 or MATH 247) or equivalents.
- (3-0-9)
- Students should be comfortable with C++ and a Unix-like programming environment. Interested students may contact the instructor for more information prior to the start of the course.
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ECSE 556. Machine Learning in Network Biology.
Credits: 4 Offered by: Electrical & Computer Engr (Faculty of Engineering)
This course is not offered this catalogue year.
Description
Basics of machine learning; basics of molecular biology; network-guided machine learning in systems biology; network-guided bioinformatics analysis; analysis of biological networks; network module identification; global and local network alignment; construction of biological networks.
- 3-0-9
- Restrictions: Permission of Instructor.
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ECSE 557. Introduction to Ethics of Intelligent Systems.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering)
This course is not offered this catalogue year.
Description
Ethics and social issues related to AI and robotic systems. Consideration for normative values (e.g., fairness) in the design. Ethics principles, data and privacy issues, ethics challenges in interaction and interface design.
- (3-1-5)
- Corequisite: COMP 451 or COMP 551 or ECSE 551 or permission of the instructor
- Prerequisite(s): (ECSE 202 or ECSE 250 or COMP250) and (ECSE 205 or MATH 323) or permission of the instructor.
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Course information not available. ECSE 563. Power Systems Operation and Planning.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering) Terms offered: Fall 2025 View offerings for Fall 2025 in Visual Schedule Builder.
Description
Design and operation of large scale power systems: Temporal, spatial and hierarchical decomposition of tasks. Local vs. distributed control. Load-frequency control. Voltage and speed regulation. Interconnected power systems. Power flow. Security states. Optimal operation of power systems. Power system reliability.
- (3-0-6)
- Prerequisite: ECSE 362
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ECSE 564. Power Systems Dynamics and Control.
Credits: 4 Offered by: Electrical & Computer Engr (Faculty of Engineering) Terms offered: Winter 2026 View offerings for Winter 2026 in Visual Schedule Builder.
Description
Modern power systems: power plants, conventional generation and distributed inverter-based generation, ac and dc transmission systems, power system dynamics and stability issues. Modeling for operation, control and
stability studies: power system components; synchronous machines and control systems; inverter-based generation and controls. Dynamic and stability studies. Control methods for enhancing flexibility and improving stability
- (3-0-9)
- Prerequisite: ECSE 362 (or equivalent)
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ECSE 565. Introduction to Power Electronics.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering)
This course is not offered this catalogue year.
Description
Semiconductor power switches - thyristors, GTO's, bipolar transistors, MOSFET's. Switch mode power amplifiers. Buck and boost principles. Modulation methods -PWM, delta, hysteresis current control. Rectifiers, inverters, choppers.
- (3-0-6)
- Prerequisite: (ECSE 334 or ECSE 335) and (ECSE 361 or ECSE 362)
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ECSE 570. Automatic Speech Recognition.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering)
This course is not offered this catalogue year.
Description
Acoustic phonetics and signal representations. Pattern classification, stochastic modelling, language modelling and search algorithms as applied to speech recognition. Techniques for robustness, integration of speech recognition with other user interface modalities, and the role of automatic speech recognition in speech understanding.
- (3-0-6)
- Prerequisites: (ECSE 305 or ECSE 205) and (ECSE 322 or ECSE 324)
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ECSE 571. Optoelectronic Devices.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering)
This course is not offered this catalogue year.
Description
Physical basis of optoelectronic devices including Light Emitting Diodes, semiconductor optical amplifiers, semiconductor lasers, quantum well devices, and solid state lasers. Quantitative description of detectors, optical modulation, optical logic devices, optical interconnects, and optomechanical hardware. Throughout the course, photonic systems applications will be addressed.
- (3-0-6)
- Prerequisite: ECSE 352 or ECSE 354
- Corequisite: ECSE 533
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ECSE 572. Nonlinear Optics.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering) Terms offered: Fall 2025 View offerings for Fall 2025 in Visual Schedule Builder.
Description
Nonlinear optical processes and their applications: optical fibres, waveguides and crystals. Origin of second- and third-order nonlinear susceptibility, symmetry properties, coupled-wave propagation, phase-matching techniques, sum- and difference frequency generation, parametric amplification, four-wave mixing, self- and cross-phase modulation, soliton propagation, Raman scattering and the electro-optic effect.
- (3-0-6)
- Prerequisite: ECSE 354
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Course information not available. ECSE 574. CMOS Sensor Microsystems.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering)
This course is not offered this catalogue year.
Description
CMOS sensor microsystems, fundamentals of microfabrication, micromachining technology, recognition elements, CMOS signal detection components, and sensor system integration and packaging.
- (3-0-6)
- Prerequisite: ECSE 485
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ECSE 575. Heterogeneous Integration Systems.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering)
This course is not offered this catalogue year.
Description
Discussion of high performance heterogeneous integration systems. Introduction to key design challenges, including interconnect, power delivery, synchronization, and testing, with respect to heterogeneous systems. Analysis of state-of-the-art
integration platforms, such as three-dimensional integrated circuits, wafer-scale integration, and flexible substrates with respect to applications of interest. System-level perspective of the integration hierarchy (i.e., integrated circuit, package, and board).
- Prerequisites: ECSE 335 or permission of instructor.
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ECSE 593. Antennas and
Propagation.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering) Terms offered: Fall 2025 View offerings for Fall 2025 in Visual Schedule Builder.
Description
Fundamentals of antenna theory: sources, radiation pattern and gain. Classification of antennas. Main antenna types and their characteristics. Antenna temperature, remote sensing and radar cross-section. Self and mutual impedances. Special topics include adaptive antennas, very large array (VLA) used in radio astronomy and biomedical applications.
- (3-0-6)
- Prerequisites: ECSE 206 and ECSE 354
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ECSE 596. Optical Waveguides.
Credits: 3 Offered by: Electrical & Computer Engr (Faculty of Engineering) Terms offered: Summer 2025, Winter 2026
Description
An in-depth analysis to guided-wave propagation. Dielectric waveguides (slab, 2D, nonlinear, spatial solitons), optical fibers (modes, dispersion relations, propagation in dispersive, nonlinear fibers, temporal solitons), beam propagation method, coupled mode theory, waveguide devices (couplers, gratings, etc.). Selection of current research topics of interest (e.g., photonic crystals, optical signal processing, etc.).
- (3-0-6)
- Prerequisite: ECSE 354
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ECSE 597. Circuit Simulation and Modelling.
Credits: 4 Offered by: Electrical & Computer Engr (Faculty of Engineering) Terms offered: Winter 2026 View offerings for Winter 2026 in Visual Schedule Builder.
Description
Principles of circuit simulation. Formulation of network equations. Frequency domain analysis. Nonlinear networks. Transient analysis. Sensitivity analysis. Harmonic Balance. Shooting method. Model order reduction. Macromodelling.
- (3-0-9)
- Prerequisites: ECSE 206, ECSE 251 and ECSE 331
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