Courses Offered

Electrical Engineering: Circuit variables. Analysis of resistive circuits, network theorems (Kirchhoff’s laws, Ohm’s law, Norton and Thevenin equivalent). Ammeters, Voltmeters, and Ohmmeters. Analysis methods (nodal and mesh analysis, linearity, superposition). Dependent sources and Op-Amps. Energy storage elements. First and second order circuits.

Offered by: Electrical & Computer Engr

• (4-2-3)
• Prerequisite: PHYS 142 or CEGEP equivalent.
• Corequisite: MATH 263
• Tutorials assigned by instructor.

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • Mourad N El-Gamal
  • Mourad N El-Gamal

Electrical Engineering: Probability: basic probability model, conditional probability, Bayes rule, random variables and vectors, distribution and density functions, common distributions in engineering, expectation, moments, independence, laws of large numbers, central limit theorem. Statistics: descriptive measures of engineering data, sampling distributions, estimation of mean and variance, confidence intervals, hypothesis testing, linear regression.

Offered by: Electrical & Computer Engr

• Not open to students who have taken ECSE 305.
• (3-2-4)

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • Harry Leib
  • Harry Leib

Electrical Engineering: Review of complex functions. Discrete-and continuous-time signals, basic system properties. Linear time-invariant systems, convolution. Fourier series and Fourier transforms, frequency-domain analysis, filtering, sampling. Laplace transforms and inversion, transfer functions, poles and zeros, solutions of linear constant-coefficient differential equations, transient and steady-state response. Z-transforms.

Offered by: Electrical & Computer Engr

• Prerequisite(s): ECSE 200
• Restriction(s): Not open to students who have taken ECSE 303, ECSE 304 or ECSE 306.
• (3-2-4)

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • Narges Armanfard
  • Lawrence R Chen

Electrical Engineering: Second-order circuits. Sinusoidal sources and phasors. AC steady-state analysis. AC steady-state power. Laplace transform. Circuit analysis in the s-Domain. Two-port circuits. Elementary continuous signals, impulse functions, basic properties of continuous linear time-invariant (LTI) systems. Frequency analysis of continuous-time LTI systems.

Offered by: Electrical & Computer Engr

• (4-2-3)
• Prerequisite: ECSE 200

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • Sharmistha Bhadra
  • Sharmistha Bhadra

Electrical Engineering: Engineering process: design specifications, parameters, optimization, implementation, troubleshooting and refinement; project management: scheduling, risk analysis, project control; case studies; design examples and project.

Offered by: Electrical & Computer Engr

• (2-6-1)
• Prerequisite(s): ECSE 200 and (ECSE 202 or COMP 202)

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • David Alister Lowther, Marwan Kanaan, AJung Moon
  • David Alister Lowther, Marwan Kanaan, AJung Moon

Electrical Engineering: An introduction to digital logic, binary numbers and Boolean algebra, combinational circuits, optimized implementation of combinational circuits, arithmetic circuits, combinational circuit building blocks, flip-flops, registers, counters, design of digital circuits with VHDL, and synchronous sequential circuits.

Offered by: Electrical & Computer Engr

• Prerequisite(s): COMP 202 or ECSE 202
• Restriction(s): Not open to students who have taken ECSE 221, ECSE 322 or ECSE 323
• (3-2-4)

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • Boris Vaisband
  • Boris Vaisband

Electrical Engineering: Integration of modelling with programming; abstraction in software engineering; structural modelling; state-based modelling; modelling of object-oriented systems, code generation; natural language constraints in modelling notations; architectural and design patterns; integrated development environments; programming tools (debugging, continuous build/integration, version control and code repositories, diff, defect and issue tracking, refactoring); code review processes.

Offered by: Electrical & Computer Engr

• Prerequisite(s): ECSE 250 or COMP 250
• (3-2-4)

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • Gunter Mussbacher
  • Marwan Kanaan

Electrical Engineering: Divergence, gradient and curl. The divergence theorem and Stokes’ theorem. Maxwell's equations, electrostatics, magnetostatics and induction for power-frequency electrical engineering problems.

Offered by: Electrical & Computer Engr

• Prerequisite(s): ECSE 200 and MATH 262
• Restriction(s): Not open to students who have taken ECSE 351.
• (3-2-4)

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • Songrui Zhao
  • Martin Rochette

Electrical Engineering: Modelling and simulation of control systems, review of LTI systems, time response of first and second order systems, state space modeling, controllability, state feedback and pole placement, observability, observer design, and output feedback, block diagrams and their simplification, Routh-Hurwitz stability criterion, system type and steady state errors, Bode plots, Nyquist plots, Nyquist stability criterion, gain and phase margins, lead-lag compensators. Lab work involving step response, frequency response, system identification, state feedback, output feedback, and lead-lag compensators.

Offered by: Electrical & Computer Engr

• Prerequisite(s): ECSE 206 and ECSE 210
• Not open to students who have taken ECSE 493
• (3-4-5)

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • Hannah Michalska
  • Aditya Mahajan

Electrical Engineering: Information and bandwidth, signals, modulation and noise, transmission and switching. Principles of layered design and the OSI model, measures of performance. Information sources and services. Application, Presentation and Session layers. Transport and Network layers. Data link layer and multi-user communication. Physical layer and transmission techniques. Wireline and wireless transmission media. Core (Backbone), and Access Communication Networks. Communication network classification. Laboratory work involving analog and digital transmission techniques.

Offered by: Electrical & Computer Engr

• Prerequisite(s):ECSE 205 and ECSE 206
• (3-4-5)

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • Tho Le-Ngoc
  • Benoit Champagne

Electrical Engineering: An introduction to thermodynamics from the perspective of computer engineering. The first and second laws of thermodynamics; elementary information theory (bits, entropy); energy storage and dissipation in electrical circuits; effects of noise in switching circuits; the fluctuation-dissipation theorem; Landauer’s principle; reversible and irreversible computation; energy costs of communication; thermal resistance, heat sinking, and cooling technologies for computing circuits.

Offered by: Electrical & Computer Engr

• Prerequisite(s): ECSE 200, ECSE 205, and ECSE 222
• (3-2-4)

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • Andrew G Kirk
  • Songrui Zhao

Electrical Engineering: Design, development and testing of software systems. Software life cycle: requirements analysis, software architecture and design, implementation, integration, test planning, and maintenance. The course involves a group project.

Offered by: Electrical & Computer Engr

• (3-2-4)
• Prerequisites: ECSE 223 and (COMP 202 or COMP 208 or ECSE 202)
• Tutorials assigned by instructor.

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • Marwan Kanaan
  • Marwan Kanaan

Electrical Engineering: Basic computer structures; instruction set architecture; assembly language; input/output; memory; software; processor implementation; computer arithmetic. Lab work involving assembly language level programming of single-board computers.

Offered by: Electrical & Computer Engr

• Prerequisite(s): ECSE 200, ECSE 222, and COMP 206
• (3-4-5)

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • Christophe Dubach
  • Brett Meyer

Electrical Engineering: Design of digital systems. Implementation technologies; arithmetic modules; synthesis and advanced modelling techniques; verification; timing analysis; design for testability; asynchronous circuits; hardware/software co-design.

Offered by: Electrical & Computer Engr

• Prerequisite(s): ECSE 324
• (3-2-4)

• Terms
  • Winter 2023
• Instructors
  • James J Clark

Electrical Engineering: Techniques for eliciting requirements; languages and models for specification of requirements; analysis and validation techniques, including feature-based, goal-based, and scenario-based analysis; quality requirements; requirements traceability and management; handling evolution of requirements; requirements documentation standards; requirements in the context of system engineering; integration of requirements engineering into software engineering processes.

Offered by: Electrical & Computer Engr

• Prerequisite: ECSE 223 or COMP 303
• (3-2-4)

• Terms
  • Fall 2022
• Instructors
  • Gunter Mussbacher

Electrical Engineering: Introduction to electronic circuits using operational amplifiers, PN junction diodes, bipolar junction transistors (BJTs), and MOS field-effect transistors (MOSFETs), including: terminal characteristics, large- and small-signal models; configuration and frequency response of amplifiers with discrete biasing. Introduction to SPICE. Lab work involving simulation experiments and testing of simple circuits using discrete transistors.

Offered by: Electrical & Computer Engr

• Prerequisite(s): ECSE 210
• Restriction(s): Not open to students who have taken ECSE 330.
• (3-4-5)

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • Gordon W Roberts

Electrical Engineering: Single-stage integrated-circuit amplifiers; differential and multistage amplifiers, integrated-circuit biasing techniques; non-ideal characteristics, frequency response; feedback amplifiers, output stages; digital CMOS logic circuits. Lab work on designing, building, and debugging electronic hardware using discrete transistors and circuit building blocks

Offered by: Electrical & Computer Engr

• Prerequisite(s) ECSE 331
• Restrion(s): Not open to students who have taken ECSE 334
• (3-4-5)

• Terms
  • Fall 2022
• Instructors
  • Gordon W Roberts

Electrical Engineering: Number representation and numerical error. Symbolic vs. numerical computation. Curve fitting and interpolation. Numerical differentiation and integration. Optimization. Data science pipelines and data-driven approaches. Preliminary machine learning. Solutions of systems of linear equations and nonlinear equations. Solutions of ordinary and partial differential equations. Applications in engineering, physical simulation, CAD, machine learning and digital media.

Offered by: Electrical & Computer Engr

• (3-2-4)
• Prerequisites: ECSE 205, MATH 263 and (ECSE 250 or COMP 250)
• Restriction: Not open to students who have taken ECSE 443.

• Terms
  • Winter 2023
• Instructors
  • Roni Khazaka

Electrical Engineering: Divergence, gradient and curl. The divergence theorem and Stokes’ theorem. Maxwell’s equations in integral and differential form. Waves in free space and on transmission lines. Electric and magnetic force and energy. Magnetic materials. Faraday's law. Applications to engineering problems. S-parameters.

Offered by: Electrical & Computer Engr

• (3-2-4)
• Prerequisites: ECSE 210, MATH 262, MATH 263
• Tutorials assigned by instructor.

• Terms
  • Fall 2022
• Instructors
  • Thomas Szkopek

Electrical Engineering: Transient and steady state wave propagation in transmission lines; telephone and radio frequency lines; Smith's chart and impedance matching; Maxwell's equations, Helmholtz's equations, Poynting's theorem; plane waves, polarization, Snell's law, critical and Brewster's angle; rectangular waveguides, optical fibres, dispersion; radiation and antennas; S-parameters; lab work involving the Smith chart, communication transmission lines, reflection and refraction, and optical waveguides.

Offered by: Electrical & Computer Engr

• Prerequisite(s): ECSE 251
• Not open to students who have taken ECSE 352.
• (3-4-5)

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • Martin Rochette
  • Thomas Szkopek

Electrical Engineering: Characteristics and components of power systems. Generation, transmission and utilization of electric power. 3-phase ac and dc systems. Fundamentals of electromechanical energy conversion. Ampere and Faraday's law. Magnetic circuits. Mutual inductance and transformers. Torque and force. Rotating magnetic fields. Basic rotating machines. Lab work involving techniques of electric power, efficiency, torque, and speed measurements.

Offered by: Electrical & Computer Engr

• Corequisite: CIVE 281
• Prerequisite(s):ECSE 210, and ECSE 251
• (3-4-5)

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • Xiaozhe Wang
  • François Bouffard

Electrical Engineering: Stability of linear and non-linear systems, controllability, state space models, canonical forms, state space design of controllers, pole placement, LQR, observability, Luenberger observer, separation principle and certainty equivalence, loop transfer recovery, correspondence between system theoretic results for continuous- and discrete-time systems. Lab work involving applications of PID, lead-lag, full state feedback and LQR controllers to robotic devices.

Offered by: Electrical & Computer Engr

• Prerequisite(s): ECSE 307
• Restriction(s): Not open to students who have taken ECSE 404 or ECSE 493.
• (3-4-5)

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • François Bouffard
  • Peter Edwin Caines

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-0-6)
• Prerequisites: ECSE 303 or ECSE 206 and ECSE 352 or ECSE 354
• Restriction: Not open to students who have taken ECSE 593.

• Terms
  • Fall 2022
• Instructors
  • Milica Popovich

Electrical Engineering: Communication system models; AM and FM modulation, performance of AM and FM systems in noise; sampling, FDM and TDM multiplexing systems; baseband and pass-band digital transmission over noisy band-limited channels, digital modulation and detection techniques and their quantitative performance; concepts of entropy and channel capacity, selected data compression and error-control coding techniques. Illustrative examples taken from subscriber loop telephone systems, evolution of internet modems and wireless cellular phone standards. Lab work involving measurement of the performance of AM and FM systems with noise, digital modulation techniques and spectra, experiments with basic error control coding systems.

Offered by: Electrical & Computer Engr

• Prerequisite(s): ECSE 205 and ECSE 308
• Restriction(s): Not open to students who have taken ECSE 411.
• (3-4-5)

• Terms
  • Fall 2022
• Instructors
  • Ioannis Psaromiligkos

Electrical Engineering: Discrete-time signals and systems; Fourier and Z-transform analysis techniques, the discrete Fourier transform; elements of FIR and IIR filter design, filter structures; FFT techniques for high speed convolution; quantization effects.

Offered by: Electrical & Computer Engr

• (3-2-4)
• Prerequisite(s): ECSE 206 or ECSE 304 or ECSE 306.
• Tutorials assigned by instructor.

• Terms
  • Fall 2022
• Instructors
  • Benoit Champagne

Electrical Engineering: An introduction to the automated processing, analysis, and understanding of image data. Topics include image formation and acquisition, design of image features, image segmentation, stereo and motion correspondence matching techniques, feature clustering, regression and classification for object recognition, industrial and consumer applications, and computer vision software tools.

Offered by: Electrical & Computer Engr

• Prerequisite(s):(ECSE 304 or ECSE 306 or ECSE 206 or ECSE 316) and ECSE 205.
• (3-1-5)

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • James J Clark
  • Tal Arbel

Electrical Engineering: Architecture and protocols of contemporary networks; wired and wireless access systems; flow and congestion control; network optimization; randomized multiple access protocols; queueing disciplines; low-power wireless networks. Examples: Ethernet, TCP/IP, 802.11, 802.15.4. Lab experiments addressing routing protocols, TCP, queuing disciplines and quality-of-service, and network security.

Offered by: Electrical & Computer Engr

• Prerequisite(s): (ECSE 250 or COMP 250), ECSE 205, and (ECSE 308 or ECSE 316)
• Restriction(s): Not open to students who have taken ECSE 414 or ECSE 489.
• (3-4-5)

• Terms
  • Fall 2022
• Instructors
  • Mark J Coates

Electrical Engineering: Modern parallel computing architectures for shared memory, message passing and data parallel programming models. The design of cache coherent shared memory multiprocessors. Programming techniques for multithreaded, message passing and distributed systems. Use of modern programming languages and parallel programming libraries.

Offered by: Electrical & Computer Engr

• (3-2-4)
• Prerequisite: ECSE 427

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • Zeljko Zilic
  • Dennis D Giannacopoulos

Electrical Engineering: Definition, structure and properties of embedded systems. Real-time programming: interrupts, latency, context, re-entrancy, thread and process models. Microcontroller and DSP architectures, I/O systems, timing and event management. Real-time kernels and services. Techniques for development, debugging and verification. Techniques for limited resource environments. Networking for distributed systems.

Offered by: Electrical & Computer Engr

• (3-1-5)
• Prerequisites: ECSE 322 and ECSE 323 or ECSE 324

• Terms
  • Winter 2023
• Instructors
  • Jeremy Cooperstock

Electrical Engineering: Introduction to fault-tolerant systems. Fault-tolerance techniques through hardware, software, information and time redundancy. Failure classification, failure semantics, failure masking. Exception handling: detection, recovery, masking and propagation, termination vs. resumption. Reliable storage, reliable communication. Process groups, synchronous and asynchronous group membership and broadcast services. Automatic redundancy management. Case studies.

Offered by: Electrical & Computer Engr

• (3-1-5)
• Prerequisites: ECSE 324 and (ECSE 250 or COMP 250)

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: Introduction to the fundamentals of modern optical and photonic 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. Experiments on physical and geometric optics.

Offered by: Electrical & Computer Engr

• (3-2-4)
• Prerequisite: ECSE 352 or ECSE 354

• Terms
  • Winter 2023
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: The course highlights human-computer interaction strategies from an engineering perspective. Topics include user interfaces, novel paradigms in human-computer interaction, affordances, ecological interface design, ubiquitous computing and computer-supported cooperative work. Attention will be paid to issues of safety, usability, and performance.

Offered by: Electrical & Computer Engr

• (3-4-2)
• Prerequisites: (ECSE 324 and ECSE 250) or (ECSE 324 and COMP 250) or (COMP 251 and COMP 273)

• Terms
  • Fall 2022
• Instructors
  • Jeremy Cooperstock

Electrical Engineering: Trends in technology. CISC vs. RISC architectures. Pipelining. Instruction level parallelism. Data and Control Hazards. Static prediction. Exceptions. Dependencies. Loop level paralleism. Dynamic scheduling, branch prediction. Branch target buffers. Superscalar and N-issue machines. VLIW. ILP techniques. Cache analysis and design. Interleaved and virtual memory. TLB translations and caches.

Offered by: Electrical & Computer Engr

• (3-1-5)
• Prerequisites: (ECSE 322 and ECSE 323) or ECSE 324
• Tutorials assigned by instructor.

• Terms
  • Winter 2023
• Instructors
  • Amin Emad

Electrical Engineering: Operating system services, file system organization, disk and cpu scheduling, virtual memory management, concurrent processing and distributed systems, protection and security. Aspects of the DOS and UNIX operating systems and the C programming language. Programs that communicate between workstations across a network.

Offered by: Electrical & Computer Engr

• (3-1-5)
• Prerequisite: ECSE 324 or COMP 273
• Tutorials assigned by instructor.

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • Muthucumaru Maheswaran

Electrical Engineering: Software engineering practice in industry, related to the design and commissioning of large software systems. Ethical, social, economic, safety and legal issues. Metrics, project management, costing, marketing, control, standards, CASE tools and bugs. The course involves a large team project.

Offered by: Electrical & Computer Engr

• (3-1-5)
• Students meet with the instructor and/or teaching assistant for one hour each week to discuss their project.
• Prerequisite: ECSE 321 or COMP 335

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: Correct and complete implementation of software requirements. Verification and validation lifecycle. Requirements analysis, model based analysis, and design analysis. Unit and system testing, performance, risk management, software reuse. Ubiquitous computing.

Offered by: Electrical & Computer Engr

• (3-2-4)
• Prerequisite: ECSE 321 or COMP 303

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • Daniel Varro
  • Daniel Varro

Electrical Engineering: Introduction to photonic devices and applications. Semiconductor lasers, optical amplifiers, optical modulators, photodetectors and optical receivers, optical fibers and waveguides, fiber and waveguide devices. Photonic systems (communications, sensing, biomedical). Experiments on characterizing photonic devices and systems. Optical test-and-measurement instrumentation.

Offered by: Electrical & Computer Engr

• (3-2-4)
• Prerequisites: (ECSE 352 or ECSE 354) and MIME 262.
• Tutorials assigned by instructor.

• Terms
  • Fall 2022
• Instructors
  • Odile Liboiron-Ladouceur

Electrical Engineering: 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. Laboratory experiments.

Offered by: Electrical & Computer Engr

• Prerequisite(s): ECSE 251, ECSE 331, and MIME 262
• Restriction(s): Not open to students who have taken ECSE 432.
• (3-4-5)

• Terms
  • Winter 2023
• Instructors
  • Thomas Szkopek

Electrical Engineering: Purpose and economics of mixed-signal test, DC measurements. Accuracy and repeatability. DSP-based theory and its applications to parametric testing of analog filters, DACs, and ADC. Timing and PLL measurements. Design for Testability.

Offered by: Electrical & Computer Engr

• (3-2-4)
• Prerequisites: ECSE 206 or ECSE 304 and ECSE 334 or ECSE 335
• Note: This course may be counted as a technical complementary or as a lab complementary.

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: Design, development, and implementation of code integration processes, release pipelines, and deployment strategies.

Offered by: Electrical & Computer Engr

• (3-2-4)
• Prerequisite(s): ECSE 321 or COMP 303

• Terms
  • Fall 2022
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: 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; metamodeling; model transformations; models of computation; model analyses; and modeling tools.

Offered by: Electrical & Computer Engr

• (3-2-4)
• Prerequisites: ECSE 321 or COMP 303.
• Restricted to Software Engineering students.

• Terms
  • Winter 2023
• Instructors
  • Gunter Mussbacher

Electrical Engineering: Design techniques for developing modern microprocessor-based systems, multiple state-of-art instructions set architectures (ISAs) and associated assembly languages, use of tools for compiling, linking, memory overlay; debug techniques for start-stop and real-time debugging, together with debug infrastructure and interfaces: flash patching, variable watching and instruction stream tracing. Use of coprocessors and computer peripherals, such as SPI, I2C, I2S, SAI, USB, wireless standards, timers, DMA units and FLASH accelerators. Interfacing and processing sensor data including multi-sensor integration. Design techniques that promote structured approaches for separation of concerns in computing and communication. Real-time systems and software engineering for tightly integrated hardware.

Offered by: Electrical & Computer Engr

• Prerequisite(s): ECSE 324
• Restriction(s): Not open to students who have taken ECSE 426.
• (3-4-5)

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • Brett Meyer
  • Zeljko Zilic

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-2-4)
• Prerequisites: (ECSE 205 and ECSE 250) or (ECSE 202, ECSE 205, and COMP 250)
• Restrictions: Not open to students who have taken or are taking ECSE 546.

• Terms
  • Fall 2022
• Instructors
  • Derek Nowrouzezahrai

Electrical Engineering: Microwave transmission through waveguides: impedance matching, microwave devices, filters and resonators; microwave transmission though free space; near and far field behaviour of electromagnetic radiators, simple antennas, antenna arrays, practical antenna parameters; the physics of the radio communication channel: reflection, diffraction and scattering and their macroscopic impact (multipath, fading).

Offered by: Electrical & Computer Engr

• (3-0-6)
• Prerequisite: ECSE 352 or ECSE 354

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: A design project undertaken with close mentorship by a staff member and under the supervision of the course instructor. The project consists of defining an engineering problem, reviewing relevant background, acquiring/analyzing data, and seeking solutions using appropriate simulation/analysis tools and experimental investigations. Professional engineering practices will be followed.

Offered by: Electrical & Computer Engr

• Prerequisites: ECSE 211 and ECSE 324 and CCOM 206 and (ECSE 331 or COMP 302)
• Students must register for both ECSE 458D1 and ECSE 458D2
• No credit will be given for this course unless both ECSE 458D1 and ECSE 458D2 are successfully completed in consecutive terms

• Terms
  • Fall 2022
• Instructors
  • Ioannis Psaromiligkos, Marwan Kanaan

Electrical Engineering: See ECSE 458D1 for course description.

Offered by: Electrical & Computer Engr

• Prerequisite: ECSE 458D1
• No credit will be given for this course unless both ECSE 458D1 and ECSE 458D2 are successfully completed in consecutive terms

• Terms
  • Winter 2023
• Instructors
  • Ioannis Psaromiligkos, Marwan Kanaan

Electrical Engineering: Éléments d'un réseau de transport. Lignes: modélisation et paramètres. Transformateurs: circuits équivalents, pertes, enclenchement, protection. Disjoncteurs: fonctionnement et dimensionnement. Équipements de compensation: condensateurs, branchement série et shunt, inductances. Coordination d'isolement.

Offered by: Electrical & Computer Engr

• (3-2-4)
• Prerequisite: ECSE 464.
• Taught in French.
• This course is offered by the Power Engineering Institute.

• Terms
  • Winter 2023
• Instructors
  • François Bouffard

Electrical Engineering: Electric and magnetic circuits. Notions of electromechanical energy conversion applied to electrical machines. Basic electrical machines - transformers, direct-current motors, synchronous motors and generators, three phase and single phase induction machines. Elements of modern electronically controlled electric drive systems.

Offered by: Electrical & Computer Engr

• (3-1-5)
• Restriction: Not open to students in Electrical Engineering.
• Note: Tutorials assigned by instructor.

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • Xiaozhe Wang
  • Xiaozhe Wang

Electrical Engineering: Primary energy resources, conventional and renewable. Electric power generation principles. Rotating and static power conversion, frequency and voltage control. Synchronous and induction generators, design and operation, grid integration requirements of central and distributed generation. Static power converter interfaces, principles and operation. Wind generation principles, control and wind farms. Electrochemical and pumped storage.

Offered by: Electrical & Computer Engr

• (3-1-5)
• Prerequisite: ECSE 361 or ECSE 362 or ECSE 461

• Terms
  • Winter 2023
• Instructors
  • François Bouffard

Electrical Engineering: Basic principles of planning and operating interconnected power systems with emphasis on Canadian conditions. Mathematical models for system. Steady-state analysis of power systems, load flow formulation and solution algorithms. Operating strategies, economic dispatch, voltage reactive power regulation, frequency and tie-line power control.

Offered by: Electrical & Computer Engr

• (3-0-6)
• Prerequisite: ECSE 361 or ECSE 362
• This course is offered by the Power Engineering Institute.

• Terms
  • Fall 2022
• Instructors
  • François Bouffard

Electrical Engineering: Introduction to power electronics: definition, applications and classification of converters. Review of analytical techniques. Overview of power semiconductor switches. Line communicated rectifiers and inverters. Switch mode power converters and modulation techniques. Choppers, inverters and rectifiers. Resonant mode converters. Application to power systems and energy conversion.

Offered by: Electrical & Computer Engr

• (3-2-4)
• Prerequisites: ECSE 331 or ECSE 330 and ECSE 361 or ECSE 362
• This course is offered by the Power Engineering Institute.

• Terms
  • Fall 2022
• Instructors
  • François Bouffard

Electrical Engineering: Les réseaux de distribution d'électricité. Concepts de base. Lignes et câbles de distribution, caractéristiques physiques. Réseau de neutre. Techniques de protection des réseaux de distribution. Coordination de la protection, défaillance des équipements. Continuité de service, normes, étendue et durée des pannes. Architectures de réseau. Production distribuée, études d'intégration au réseau protection. Qualité de l'onde, exigences de raccordement, harmoniques, creux de tension papillotement. Logiciels d'analyse des réseaux de distribution, écoulement de puissance déséquilibré, régime perturbé.

Offered by: Electrical & Computer Engr

• (3-0-6)
• Prerequisite(s): ECSE 361 or ECSE 362

• Terms
  • Winter 2023
• Instructors
  • François Bouffard

Electrical Engineering: Introduction: classification des phénomènes, structure d'un réseau électrique. Modélisation des composants: lignes, transformateurs, machines électriques, charges. Systèmes d'excitation des machines. Régime permanent. Stabilité de transitoire, de tension, des petits signaux. Méthodes de compensation: stabilisateurs, compensation série et shunt. Oscillations sous synchrones. Phénomènes électromagnétiques transitoires. Méthodes et outils de simulation numérique.

Offered by: Electrical & Computer Engr

• (3-0-6)
• Prerequisite: ECSE 464.
• Note: Taught in French. This course is offered by the Power Engineering Institute.

• Terms
  • Winter 2023
• Instructors
  • François Bouffard

Electrical Engineering: Structure des réseaux électriques industriels. Niveau de tension. Installations électriques, codes et normes. Court-circuits, protection et coordination. Mise à la terre. Qualité de l'onde. Facteur de puissance, tarification et gestion de l'énergie électrique.

Offered by: Electrical & Computer Engr

• (3-2-4)
• Prerequisite: ECSE 361 or ECSE 362
• This course is offered by the Power Engineering Institute.
• Taught in French.

• Terms
  • Winter 2023
• Instructors
  • François Bouffard

Electrical Engineering: Généralités sur les systèmes de protection. Calculs de défauts symétriques et asymétriques. Transformateurs de mesure. Système de mise à la terre. Types de relais de protection. Protection de transformateur, de barres, de ligne de transport : philosophie et application. Conception des systèmes de protection. Homologation et essais de relais.

Offered by: Electrical & Computer Engr

• (3-0-6)
• Prerequisite: ECSE 464.
• Note: Taught in French. This course is offered by the Power Engineering Institute.

• Terms
  • Winter 2023
• Instructors
  • François Bouffard

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-0-6).
• Restriction(s): Not open to students who are taking or have taken ECSE 597.
• Prerequisites: ECSE 206 and ECSE 331

• Terms
  • Fall 2022
• Instructors
  • Marwan Kanaan

Electrical Engineering: A research project undertaken with close mentorship by a staff member and under the supervision of the course instructor. The thesis consists of defining an engineering problem, reviewing relevant background, acquiring/analyzing data, and seeking design solutions using appropriate simulation/analysis tools and experimental investigations.

Offered by: Electrical & Computer Engr

• Prerequisite: CCOM 206 and at least 42 Departmental credits
• Students must register for both ECSE 478D1 and ECSE 478D2
• No credit will be given for this course unless both ECSE 478D1 and ECSE 478D2 are successfully completed in consecutive terms

• Terms
  • Fall 2022
• Instructors
  • Ioannis Psaromiligkos, Marwan Kanaan

Electrical Engineering: See ECSE 478D1 for description.

Offered by: Electrical & Computer Engr

• Prerequisite: ECSE 478D1
• No credit will be given for this course unless both ECSE 478D1 and ECSE 478D2 are successfully completed in consecutive terms

• Terms
  • Winter 2023
• Instructors
  • Ioannis Psaromiligkos, Marwan Kanaan

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-0-6)
• Restriction: Open only to graduate students within the Faculty of Engineering.

• Terms
  • Fall 2022
• Instructors
  • Hannah Michalska

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-0-6)
• Corequisite: ECSE 500 or permission of instructor

• Terms
  • Fall 2022
• Instructors
  • Benoit Boulet

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-0-6)
• Prerequisites: ECSE 509

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-0-6)
• Prerequisites: ECSE 443 or ECSE 543 or ECSE 501 or COMP 540 or permission of instructor

• Terms
  • Winter 2023
• Instructors
  • Hannah Michalska

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-0-6)
• Prerequisite(s): ECSE 305 or ECSE 205 or equivalent.

• Terms
  • Winter 2023
• Instructors
  • Aditya Mahajan

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-1-5)
• Prerequisites: (ECSE 304 or ECSE 206 or ECSE 316) and (ECSE 305 or ECSE 205)

• Terms
  • Fall 2022
• Instructors
  • Aditya Mahajan

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-0-6)
• Prerequisites: ECSE 500 and ECSE 509 or equivalent.

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (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.

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-2-4)
• Prerequisites: (ECSE 304 or ECSE 206 or ECSE 316) and (ECSE 305 or ECSE 205)

• Terms
  • Fall 2022
• Instructors
  • Benoit Champagne

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-0-6)
• Prerequisites: ECSE 500 and (ECSE 304 or ECSE 206 or ECSE 316)

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-1-5)
• Prerequisites: ECSE 571 and (ECSE 304 or ECSE 308 or ECSE 316) and (ECSE 305 or ECSE 205)

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• Prerequisites: ECSE 500 and ECSE 501 or equivalent

• Terms
  • Winter 2023
• Instructors
  • Peter Edwin Caines

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• 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

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• 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

• Terms
  • Winter 2023
• Instructors
  • Mark J Coates

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• Prerequisites: ECSE 354 and (ECSE 433 or ECSE 533)

• Terms
  • Fall 2022
• Instructors
  • Songrui Zhao

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-0-6)
• Prerequisite: ECSE 408
• Corequisite: ECSE 509

• Terms
  • Fall 2022
• Instructors
  • Tho Le-Ngoc

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-0-9)
• Prerequisite(s): ECSE 361 or ECSE 362, MATH 263, ECSE 307

• Terms
  • Winter 2023
• Instructors
  • Xiaozhe Wang

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-0-6)
• Prerequisite: ECSE 412 or ECSE 512

• Terms
  • Winter 2023
• Instructors
  • Douglas O'Shaughnessy

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-0-6)
• Prerequisites: (ECSE 334 or ECSE 335) and (ECSE 352 or ECSE 353 or ECSE 354)

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-0-6)
• Prerequisite: ECSE 322 or ECSE 324
• Restriction: Not open to students who have taken or are taking COMP 424.

• Terms
  • Fall 2022
• Instructors
  • Jeremy Cooperstock

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-0-9)
• Prerequisite: ECSE 352 or ECSE 354

• Terms
  • Winter 2023
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-0-9)
• Prerequisite: ECSE 324

• Terms
  • Fall 2022
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-0-6)
• Prerequisites: PHYS 271 and (ECSE 330 or ECSE 331) and (ECSE 251 or ECSE 351)

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-0-6)
• Prerequisite: ECSE 334 or ECSE 335

• Terms
  • Fall 2022
• Instructors
  • Gordon W Roberts

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-0-6)
• Prerequisites: PHYS 271 and (ECSE 352 or ECSE 354)

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-3-3)
• Prerequisite: ECSE 334 or ECSE 335
• Restriction: Instructor's permission required.

• Terms
  • Winter 2023
• Instructors
  • Mourad N El-Gamal

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-3-3)
• Prerequisites: (ECSE 323 or ECSE 325) and (ECSE 334 or ECSE 335)
• Restriction: Undergraduate: Restricted to Honours Electrical Engineering students

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• Prerequisite(s): COMP 303 or ECSE 321 or permission of instructor.
• (3-2-7)

• Terms
  • Winter 2023
• Instructors
  • Gunter Mussbacher

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• Prerequisite(s): ECSE 352 or ECSE 354
• (3-0-6)

• Terms
  • Fall 2022
• Instructors
  • Odile Liboiron-Ladouceur

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-0-6)
• Corequisites: ECSE 420 or ECSE 421 or ECSE 425 or ECSE 444

• Terms
  • Fall 2022
• Instructors
  • Brett Meyer

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-0-9).
• Prerequisite(s): ECSE 322 or ECSE 324 or (COMP 251 and COMP 273) or equivalent.

• Terms
  • Fall 2022
• Instructors
  • Jeremy Cooperstock

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-2-4)
• Prerequisites: (ECSE 322 or ECSE 324), (ECSE 330 or ECSE 331) and (ECSE 351 or ECSE 251)

• Terms
  • Fall 2022
• Instructors
  • Dennis D Giannacopoulos

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-0-9)
• Prerequisites: ECSE 205 and ECSE 206

• Terms
  • Winter 2023
• Instructors
  • James J Clark

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (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.

• Terms
  • Fall 2022
• Instructors
  • Derek Nowrouzezahrai

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-0-6)
• Prerequisites: (ECSE 323 or ECSE 325) and (ECSE 361 or ECSE 362)

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• Corequisite: ECSE 443 or ECSE 543 or MATH 247
• Prerequisite(s): COMP 250 and ECSE 205 or MATH 323
• Restrictions: Not Open to students who have taken COMP 551

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • Narges Armanfard
  • Narges Armanfard

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• Prerequisite: ECSE 551 or COMP 551

• Terms
  • Winter 2023
• Instructors
  • Amin Emad

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• Prerequisite: ECSE 321

• Terms
  • Winter 2023
• Instructors
  • Daniel Varro

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• 3-0-9
• Restrictions: Permission of Instructor.

• Terms
  • Fall 2022
• Instructors
  • Amin Emad

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-1-5)
• Corequisite: COMP 451 or COMP 551 or ECSE 551 or permission of the instructor
• Prerequisite: (ECSE 202 or COMP 250) and (ECSE 205 or MATH 323) or permission of the instructor

• Terms
  • Winter 2023
• Instructors
  • AJung Moon

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-0-6)
• Prerequisite: ECSE 361 or ECSE 362

• Terms
  • Fall 2022
• Instructors
  • François Bouffard

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-0-6)
• Prerequisite: (ECSE 334 or ECSE 335) and (ECSE 361 or ECSE 362)

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-0-6)
• Prerequisites: (ECSE 305 or ECSE 205) and (ECSE 322 or ECSE 324)

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-0-6)
• Prerequisite: ECSE 352 or ECSE 354
• Corequisite: ECSE 533

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-0-6)
• Prerequisite: ECSE 352 or ECSE 354

• Terms
  • Fall 2022
• Instructors
  • Martin Rochette

Electrical Engineering: CMOS sensor microsystems, fundamentals of microfabrication, micromachining technology, recognition elements, CMOS signal detection components, and sensor system integration and packaging.

Offered by: Electrical & Computer Engr

• (3-0-6)
• Prerequisite: ECSE 485

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-0-6)
• Prerequisites: (ECSE 303 or ECSE 206) and (ECSE 352 or ECSE 354)

• Terms
  • Fall 2022
• Instructors
  • Milica Popovich

Electrical Engineering: 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.).

Offered by: Electrical & Computer Engr

• (3-0-6)
• Prerequisite: ECSE 352 or ECSE 354

• Terms
  • Winter 2023
• Instructors
  • Odile Liboiron-Ladouceur

Electrical Engineering: 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.

Offered by: Electrical & Computer Engr

• (3-0-9)
• Prerequisites: (ECSE 303 or ECSE 306 or ECSE 206) and (ECSE 330 or ECSE 331) and (ECSE 351 or ECSE 251)

• Terms
  • Fall 2022
• Instructors
  • Roni Khazaka

Electrical Engineering: An overview of state-of-the-art algorithms used in machine learning, including theoretical properties and practical applications of these algorithms.

Offered by: Electrical & Computer Engr

• (3-0-9)
• Prerequisites: COMP 424, COMP 526 or ECSE 514, COMP 360, MATH 323 or ECSE 305.
• Restriction: Not open to students who have taken COMP 652.

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: Design of custom computer architectures for high-performance computing. Reconfigurable computing elements and systems. Mapping algorithms to hardware. High-level synthesis and CAD algorithms. Applications to computing problems in physics, chemistry, and biology.

Offered by: Electrical & Computer Engr

• (3-0-9)
• Prerequisites: ECSE 425 or ECSE 525, and ECSE 487 or ECSE 431.

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: An introduction to the theory and technology of wireless communications systems networks. Topics include channel modelling, wireless transmission, multiple-access techniques, wireless networks, radio resource management, service technologies, evolution and standardization.

Offered by: Electrical & Computer Engr

• (3-0-9)
• Prerequisite: ECSE 511

• Terms
  • Winter 2023
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: The application of analytics (i.e., the discovery and communication of meaningful patterns in data) to software development and release processes. Students will study, discuss, and critique research papers appearing in the current literature. This course involves a project.

Offered by: Electrical & Computer Engr

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: Theory and practice in multi-user communications. Multi-user information theory: multiple access channel, broadcast channel, relay channel, cognitive channel, interference channel, network capacity scaling law. Multi-user resource allocation techniques. Cooperative and cognitive communications, use of side information. Trends in multi-user network communications and contemporary research issues.

Offered by: Electrical & Computer Engr

• Prerequisite: ECSE 509

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: Filter banks, multi-rate signal processing, multi-resolution analysis and wavelets, transform coding. Second-order stochastic processes: Wold decomposition, spectral analysis, power spectral estimation and polyspectra, optimum filtering and linear prediction, adaptive filtering, LMS filters, recursive least-square and transform domain techniques.

Offered by: Electrical & Computer Engr

• (3-0-9)
• Prerequisites: ECSE 509 and ECSE 512

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: Study of touch as relevant to technological systems. Applications. Elements of anatomy, neuroanatomy, physiology, and behaviour. Technology of tactile transducers. Computational synthesis of tactile signals: Elements of contact mechanics, deformation theory and inelasticity, and computational methods to simulate those for realtime synthesis.

Offered by: Electrical & Computer Engr

• (3-0-9)
• Prerequisite: Permission of instructor.

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: Point-to-point communications: source and channel models, lossless source coding (prefix codes, Ziv-Lempel algorithm), performance limits for channel codes, source coding subject to a fidelity criterion, end-to-end performance limits. Approaching the limits: convolutional codes, linear codes. The multi-access problem: achievable rate regions, TDMA, CDMA. Secure communications.

Offered by: Electrical & Computer Engr

• (3-0-9)
• Prerequisites: ECSE 411 or ECSE 511, and ECSE 510

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: Statistical detection and estimation lies at the intersection of telecommunications, signal processing and mathematical statistics. Subjects include: hypothesis testing (Neyman-Pearson, Bayes, minimax, nuisance parameters, composite hypotheses, generalized likelihood), estimation theory (maximum-likelihood, maximum aposteriory probability, linear estimation, Cramer-Rao bounds).

Offered by: Electrical & Computer Engr

• (3-0-9)
• Prerequisites: ECSE 411 or ECSE 511, ECSE 510

• Terms
  • Winter 2023
• Instructors
  • Harry Leib

Electrical Engineering: Transmission over fading channels: channel characterization and models, time and frequency selectivity, diversity and receiver techniques, outage, channel information and adaptive, opportunistic transmission strategies. Multi-carrier transmission techniques: OFDM and spread-spectrum. Multi-dimensional transmission techniques: MIMO, diversity and multiplexing trade-off, space-time codes. Cooperative communications. Iterative decoding, turbo coding/decoding, LPDC codes, graph-based codes.

Offered by: Electrical & Computer Engr

• (3-0-9)
• Prerequisites: ECSE 510, ECSE 521

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: An overview of statistical techniques as applied to computer vision and image processing. Topics include regularization, Kalman filtering, Markov-Chain Monte Carlo methods, importance sampling and particle filtering, Markov Random fields, parameter estimation, mean-field techniques, stochastic and deterministic annealing, principal and independent components analysis.

Offered by: Electrical & Computer Engr

• (3-0-9)
• Prerequisites: ECSE 205 and (ECSE 415 or ECSE 529), or equivalent.

• Terms
  • Fall 2022
• Instructors
  • Tal Arbel

Electrical Engineering: Analog signal processing techniques for monolithic implementation. Filter approximation theory; filter realization methods; integrated filter technologies; active-RC, MOSFET-capacitor, transconductance-capacitor, switched-capacitor, switched-current; filter tuning methods. Phase-locked loops; signal conversion techniques.

Offered by: Electrical & Computer Engr

• (3-0-9)
• Prerequisites: ECSE 334, ECSE 303 or equivalent

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: A project course with the opportunity to apply the knowledge acquired in 548 to the design of a complete digital IC of medium complexity. Completed designs will be submitted for fabrication to the Implementation Centre of the Canadian Microelectronics Corporation. The course includes lectures on advanced topics in VLSI design.

Offered by: Electrical & Computer Engr

• (1-5-3)
• Prerequisite: ECSE 548
• Limited enrolment

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: Independent work under the general direction of a full-time staff member on research leading to a comprehensive report.

Offered by: Electrical & Computer Engr

• (0-0-3)

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: Independent work under the general direction of a full-time staff member on research leading to a comprehensive report.

Offered by: Electrical & Computer Engr

• (0-0-6)

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: Independent work under the general direction of a full-time staff member on research leading to a comprehensive report.

Offered by: Electrical & Computer Engr

• (0-0-9)

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: Independent work under the general direction of a full-time staff member on research leading to a comprehensive report.

Offered by: Electrical & Computer Engr

• (0-0-12)

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: Independent work under the general direction of a full-time staff member on research leading to a comprehensive report.

Offered by: Electrical & Computer Engr

• (0-0-12)

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: Independent work under the general direction of a full-time staff member on research leading to a comprehensive report.

Offered by: Electrical & Computer Engr

• (0-0-12)

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: Discussion of topics in semiconductor electronics and electronic properties of materials in areas of current research to the Department.

Offered by: Electrical & Computer Engr

• (3-0-9)
• Prerequisite: ECSE 432

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: Special topics in photonics.

Offered by: Electrical & Computer Engr

• (3-0-9)

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: Directed reading, seminar and discussion course in various subjects of current interest in electrical engineering research.

Offered by: Electrical & Computer Engr

• Terms
  • Fall 2022
• Instructors
  • AJung Moon

Electrical Engineering: Special topics in computers and circuits.

Offered by: Electrical & Computer Engr

• (3-0-9)

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • Zeljko Zilic
  • Boris Vaisband

Electrical Engineering: Special topics in vision and robotics.

Offered by: Electrical & Computer Engr

• (3-0-9)

• Terms
  • Winter 2023
• Instructors
  • Hsiu-Chin Lin

Electrical Engineering: Special topics in communications systems.

Offered by: Electrical & Computer Engr

• (3-0-9)

• Terms
  • This course is not scheduled for the 2022 academic year
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: Course content suited to the area of specialization of the lecture.

Offered by: Electrical & Computer Engr

• (3-0-9)
• This course is basically following a MTWR schedule pattern. However, during the second week, there won’t be any class on Thursday, May 15. During the third week, there won’t be any class on Monday, May 19 due to a statutory holiday, but there will be a class on Friday, May 23 to replace the Monday class. During the fourth week, there won’t be any class on Monday, May 26. During the fifth and sixth (last) week, there will be again classes from Monday through Thursday.

• Terms
  • Winter 2023
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: Course content suited to the area of specialization of the lecturer.

Offered by: Electrical & Computer Engr

• (3-0-9)

• Terms
  • Winter 2023
• Instructors
  • Christophe Dubach

Electrical Engineering: Independent research work under the direction of the Thesis Supervisor.

Offered by: Electrical & Computer Engr

• (3-0-6)

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: Independent research work under the direction of the Thesis Supervisor.

Offered by: Electrical & Computer Engr

• (3-0-9)

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: Independent research work under the direction of the Thesis Supervisor.

Offered by: Electrical & Computer Engr

• (3-0-9)

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: Independent research work under the direction of the Thesis Supervisor.

Offered by: Electrical & Computer Engr

• (3-0-9)

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: Independent research work under the direction of the Thesis Supervisor.

Offered by: Electrical & Computer Engr

• (3-0-9)

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: Independent research work under the direction of the Thesis Supervisor.

Offered by: Electrical & Computer Engr

• (3-0-9)

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • There are no professors associated with this course for the 2022 academic year

Electrical Engineering: Independent research work under the direction of the Thesis Supervisor.

Offered by: Electrical & Computer Engr

• (3-0-9)

• Terms
  • Fall 2022
  • Winter 2023
• Instructors
  • There are no professors associated with this course for the 2022 academic year