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Program Requirements

Program credit weight: 133-136 credits

Program credit weight for Quebec CEGEP students: 108-111 credits

Program credit weight for out-of-province students: 133-136 credits

The Computer Engineering program provides students with greater depth and breadth of knowledge in the hardware and software aspects of computers. Students are exposed to both theoretical and practical issues of both hardware and software in well-equipped laboratories. Although the program is designed to meet the growing demands by industry for engineers with a strong background in modern computer technology, it also provides the underlying depth for graduate studies in all fields of Computer Engineering.

In addition to technical complementary courses, students in the program take general complementary courses in social sciences, management studies, and humanities. These courses allow students to develop specific interests in areas such as psychology, economics, management, or political science.

Required Year 0 (Freshman) Courses

25 credits

Generally, students admitted to Engineering from Quebec CEGEPs are granted transfer credit for these Year 0 (Freshman) courses and enter a 108- to 111 credit program.

For information on transfer credit for French Baccalaureate, International Baccalaureate exams, Advanced Placement exams, Advanced Levels, and Science Placement Exams, see and select your term of admission.

• CHEM 120 General Chemistry 2 (4 credits)

  Offered by: Chemistry (Faculty of Science)

  Overview

  Chemistry : A study of the fundamental principles of physical chemistry.

  Terms: Winter 2025

  Instructors: Sirjoosingh, Pallavi; Sewall, Samuel Lewis; Wiseman, Paul; Denisova, Irina (Winter)

  • Winter

  • Prerequisites/corequisites: College level mathematics and physics, or permission of instructor: CHEM 110 is not a prerequisite

  • Each lab section is limited enrolment

• MATH 133 Linear Algebra and Geometry (3 credits)

  Offered by: Mathematics and Statistics (Faculty of Science)

  Overview

  Mathematics & Statistics (Sci) : Systems of linear equations, matrices, inverses, determinants; geometric vectors in three dimensions, dot product, cross product, lines and planes; introduction to vector spaces, linear dependence and independence, bases. Linear transformations. Eigenvalues and diagonalization.

  Terms: Fall 2024, Winter 2025, Summer 2025

  Instructors: Macdonald, Jeremy; Ayala, Miguel; Branchereau, Romain; Giard, Antoine (Fall) Pinet, Théo (Winter)

  • 3 hours lecture, 1 hour tutorial

  • Prerequisite: a course in functions

  • Restriction(s): 1) Not open to students who have taken CEGEP objective 00UQ or equivalent. 2) Not open to students who have taken or are taking MATH 123, except by permission of the Department of Mathematics and Statistics.

• MATH 140 Calculus 1 (3 credits)

  Offered by: Mathematics and Statistics (Faculty of Science)

  Overview

  Mathematics & Statistics (Sci) : Review of functions and graphs. Limits, continuity, derivative. Differentiation of elementary functions. Antidifferentiation. Applications.

  Terms: Fall 2024, Winter 2025, Summer 2025

  Instructors: Sabok, Marcin; Trudeau, Sidney; Kalmykov, Artem (Fall) Huang, Peiyuan; Trudeau, Sidney (Winter)

  • 3 hours lecture, 1 hour tutorial

  • Prerequisite: High School Calculus

  • Restriction(s): 1) Not open to students who have taken MATH139 or MATH 150 or CEGEP objective 00UN or equivalent. 2) Not open to students who have taken or are taking MATH 122, except by permission of the Department of Mathematics and Statistics.

  • Each Tutorial section is enrolment limited

• MATH 141 Calculus 2 (4 credits)

  Offered by: Mathematics and Statistics (Faculty of Science)

  Overview

  Mathematics & Statistics (Sci) : The definite integral. Techniques of integration. Applications. Introduction to sequences and series.

  Terms: Fall 2024, Winter 2025, Summer 2025

  Instructors: Hassan, Hazem; Trudeau, Sidney; Zlotchevski, Andrei (Fall) Trudeau, Sidney; Poulin, Antoine; Syroka, Bartosz (Winter)

  • Prerequisites: MATH 139 or MATH 140 or MATH 150.

  • Restriction(s): Not open to students who have taken CEGEP objective 00UP or equivalent.

  • Restriction(s): Not open to students who have taken or are taking MATH 122,except by permission of the Department of Mathematics and Statistics.

  • Each Tutorial section is enrolment limited

• PHYS 131 Mechanics and Waves (4 credits)

  Offered by: Physics (Faculty of Science)

  Overview

  Physics : The basic laws and principles of Newtonian mechanics; oscillations, waves, and wave optics.

  Terms: Fall 2024

  Instructors: Ragan, Kenneth (Fall)

  • Fall

  • 3 hours lectures; 1 hour tutorial, 3 hours laboratory in alternate weeks; tutorial sessions

  • Corequisite: MATH 139 or higher level calculus course.

  • Restriction(s): Not open to students who have taken or are taking PHYS 101, or who have taken CEGEP objective 00UR or equivalent.

  • Laboratory sections have limited enrolment

• PHYS 142 Electromagnetism and Optics (4 credits)

  Offered by: Physics (Faculty of Science)

  Overview

  Physics : The basic laws of electricity and magnetism; geometrical optics.

  Terms: Winter 2025

  Instructors: Guo, Hong (Winter)

  • Winter

  • 3 hours lectures, 3 hours laboratory in alternate weeks; tutorial sessions

  • Prerequisite: PHYS 131.

  • Corequisite: MATH 141 or higher level calculus course.

  • Restriction: Not open to students who have taken or are taking PHYS 102, or who have taken CEGEP objective 00US or equivalent.

  • Laboratory sections have limited enrolment

AND 3 credits selected from the approved list of courses in Humanities and Social Sciences, Management Administrative Studies, and Law, listed below under Complementary Studies (Group B).
Note: FACC 100 (Introduction to the Engineering Profession) must be taken during the first year of study.

Required Non-Departmental Courses

26 credits

• COMP 202 Foundations of Programming (3 credits)

  Offered by: Computer Science (Faculty of Science)

  Overview

  Computer Science (Sci) : Introduction to computer programming in a high level language: variables, expressions, primitive types, methods, conditionals, loops. Introduction to algorithms, data structures (arrays, strings), modular software design, libraries, file input/output, debugging, exception handling. Selected topics.

  Terms: Fall 2024, Winter 2025, Summer 2025

  Instructors: M'hiri, Faten (Fall) M'hiri, Faten (Winter)

  • 3 hours

  • Restrictions: Not open to students who have taken or are taking COMP 204, COMP 208, or GEOG 333; not open to students who have taken or are taking COMP 206 or COMP 250.

  • COMP 202 is intended as a general introductory course, while COMP 204 is intended for students in life sciences, and COMP 208 is intended for students in physical sciences and engineering.

  • To take COMP 202, students should have a solid understanding of pre-calculus fundamentals such as polynomial, trigonometric, exponential, and logarithmic functions.

• COMP 206 Introduction to Software Systems (3 credits)

  Offered by: Computer Science (Faculty of Science)

  Overview

  Computer Science (Sci) : Comprehensive overview of programming in C, use of system calls and libraries, debugging and testing of code; use of developmental tools like make, version control systems.

  Terms: Fall 2024, Winter 2025

  Instructors: Errington, Jacob (Fall) Vybihal, Joseph P; Kopinsky, Max (Winter)

  • 3 hours

  • Prerequisite: COMP 202 or COMP 250

• COMP 251 Algorithms and Data Structures (3 credits)

  Offered by: Computer Science (Faculty of Science)

  Overview

  Computer Science (Sci) : Introduction to algorithm design and analysis. Graph algorithms, greedy algorithms, data structures, dynamic programming, maximum flows.

  Terms: Fall 2024, Winter 2025

  Instructors: Alberini, Giulia; Henderson, William (Fall) Becerra, David (Winter)

  • 3 hours

  • Prerequisites: COMP 250; MATH 235 or MATH 240

  • COMP 251 uses basic counting techniques (permutations and combinations) that are covered in MATH 240 but not in MATH 235. These techniques will be reviewed for the benefit of MATH 235 students.

  • Restrictions: Not open to students who have taken or are taking COMP 252.

• FACC 100 Introduction to the Engineering Profession (1 credit) *

  Offered by: Engineering - Dean's Office (Faculty of Engineering)

  Overview

  Faculty Course : Introduction to engineering practice; rights and code of conduct for students; professional conduct and ethics; engineer's duty to society and the environment; sustainable development; occupational health and safety; overview of the engineering disciplines taught at ²»Á¼Ñо¿Ëù.

  Terms: Fall 2024, Winter 2025

  Instructors: Frost, David (Fall) Chen, Lawrence (Winter)

  • (1.5-0-1.5)

• FACC 250 Responsibilities of the Professional Engineer

  Offered by: Engineering - Dean's Office (Faculty of Engineering)

  Overview

  Faculty Course : A course designed to provide all Engineering students with further training regarding their responsibilities as future Professional Engineers. Particular focus will be placed on three professional characteristics that future engineers must demonstrate: i) professionalism, ii) ethical and equitable behaviour, and iii) consideration of the impact of engineering on society and the environment.

  Terms: Fall 2024, Winter 2025

  Instructors: Razavinia, Nasim (Fall) Razavinia, Nasim (Winter)

  • Prerequisite(s): FACC 100 or BREE 205

  • Restriction(s): Open to undergraduate students registered in the Bioengineering, Bioresource Engineering, Chemical Engineering, Civil Engineering, Computer Engineering, Electrical Engineering, Materials Engineering, Mechanical Engineering, Mining Engineering, and Software Engineering (Faculty of Engineering) programs. Not open to U0 (Year 0)students.

  • (0-0-0.5)

• FACC 300 Engineering Economy (3 credits)

  Offered by: Engineering - Dean's Office (Faculty of Engineering)

  Overview

  Faculty Course : Introduction to the basic concepts required for the economic assessment of engineering projects. Topics include: accounting methods, marginal analysis, cash flow and time value of money, taxation and depreciation, discounted cash flow analysis techniques, cost of capital, inflation, sensitivity and risk analysis, analysis of R and D, ongoing as well as new investment opportunities.

  Terms: Fall 2024, Winter 2025, Summer 2025

  Instructors: Jassim, Raad (Fall) Jassim, Raad (Winter) Jassim, Raad (Summer)

  • (3-1-5)

  • Restriction: Not open to students who have taken MIME 310.

• FACC 400 Engineering Professional Practice (1 credit)

  Offered by: Engineering - Dean's Office (Faculty of Engineering)

  Overview

  Faculty Course : Laws, regulations and codes governing engineering professional practice. Responsibility and liability. Environmental legislation. Project and organization management. Relations between engineer and client. Technical practice - analysis, design, execution and operation.

  Terms: Fall 2024, Winter 2025

  Instructors: Kirk, Andrew (Fall) Ozcer, Pinar (Winter)

  • (1.5-1-0.5)

  • Prerequisites: FACC 250 and [at least 60 program credits for B.Eng./B.S.E. students in the Faculty of Engineering or 45 program credits for B.Eng.(Bioresource) students].

  • Restriction: Not open to students who have taken MIME 221.

• MATH 240 Discrete Structures (3 credits)

  Offered by: Mathematics and Statistics (Faculty of Science)

  Overview

  Mathematics & Statistics (Sci) : Introduction to discrete mathematics and applications. Logical reasoning and methods of proof. Elementary number theory and cryptography: prime numbers, modular equations, RSA encryption. Combinatorics: basic enumeration, combinatorial methods, recurrence equations. Graph theory: trees, cycles, planar graphs.

  Terms: Fall 2024, Winter 2025

  Instructors: Macdonald, Jeremy; Goh, Marcel (Fall) Fortier, Jérôme (Winter)

  • Fall and Winter

  • Corequisite: MATH 133.

  • Restriction: For students in any Computer Science, Computer Engineering, or Software Engineering programs. Others only with the instructor's permission. Not open to students who have taken or are taking MATH 235.

• MATH 262 Intermediate Calculus (3 credits)

  Offered by: Mathematics and Statistics (Faculty of Engineering)

  Overview

  Mathematics & Statistics (Sci) : Series and power series, including Taylor's theorem. Brief review of vector geometry. Vector functions and curves. Partial differentiation and differential calculus for vector valued functions. Unconstrained and constrained extremal problems. Multiple integrals including surface area and change of variables.

  Terms: Fall 2024, Winter 2025, Summer 2025

  Instructors: Bélanger-Rioux, Rosalie; Khanfir, Robin; Madou, Kodjo (Fall) Roth, Charles (Winter)

  • (3-1-5)

  • Prerequisites: MATH 141, MATH 133 or equivalent.

  • Restrictions: Open only to students in the Faculty of Engineering. Not open to students who are taking or have taken MATH 151, MATH 152, OR MATH 222.

• MATH 263 Ordinary Differential Equations for Engineers (3 credits)

  Offered by: Mathematics and Statistics (Faculty of Engineering)

  Overview

  Mathematics & Statistics (Sci) : First order ODEs. Second and higher order linear ODEs. Series solutions at ordinary and regular singular points. Laplace transforms. Linear systems of differential equations with a short review of linear algebra.

  Terms: Fall 2024, Winter 2025, Summer 2025

  Instructors: Lin, Jessica; Martine, Gabriel (Fall) Trudeau, Sidney; Bélanger-Rioux, Rosalie (Winter)

  • (3-1-5)

  • Corequisite: MATH 262.

  • Restrictions: Open only to students in the Faculty of Engineering. Not open to students who are taking or have taken MATH 315 or MATH 325.

• WCOM 206 Communication in Engineering (3 credits)

  Offered by: ²»Á¼Ñо¿Ëù Writing Centre (Faculty of Arts)

  Overview

  WCOM : Written and oral communication in Engineering (in English): strategies for generating, developing, organizing, and presenting ideas in a technical setting; problem-solving; communicating to different audiences; editing and revising; and public speaking. Course work based on academic, technical, and professional writing in engineering.

  Terms: Fall 2024, Winter 2025, Summer 2025

  Instructors: Baskind, Alana; Sundberg, Ross; Branco Cornish, Patricia; Besanger, Kendra; Sacks, Steven; Longman, Madelaine; Golish, Aaron; Babyn, André; Pathak, Kumar Sundaram; Hung, Yvonne; Valencourt, Quinn (Fall) Sundberg, Ross; Baskind, Alana; Valencourt, Quinn; Golish, Aaron; Branco Cornish, Patricia; Babyn, André; Sacks, Steven; Pathak, Kumar Sundaram (Winter) Sundberg, Ross (Summer)

  • Restriction: Not open to students who have taken CCOM 206. Only open to students in degree programs.

  • Limited enrolment.

  • Because this course uses a workshop format, attendance at first class is desirable.

* Note: FACC 100 (Introduction to the Engineering Profession) must be taken during the first year of study.

Required Computer Engineering Courses

64 credits

• ECSE 200 Electric Circuits 1 (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024, Winter 2025

  Instructors: Kanaan, Marwan (Fall) Kanaan, Marwan (Winter)

  • (4-2-3)

  • Prerequisite: PHYS 142 or CEGEP equivalent.

  • Corequisite: MATH 263

  • Tutorials assigned by instructor.

• ECSE 205 Probability and Statistics for Engineers (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024, Winter 2025

  Instructors: Radhakrishnan, Sindhu (Fall) Radhakrishnan, Sindhu (Winter)

  • Prerequisite: MATH 262

  • Not open to students who have taken ECSE 305.

  • (3-2-4)

• ECSE 206 Introduction to Signals and Systems (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024, Winter 2025

  Instructors: Chen, Lawrence (Fall) Armanfard, Narges (Winter)

  • Prerequisite(s): ECSE 200

  • (3-2-4)

• ECSE 210 Electric Circuits 2 (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024, Winter 2025

  Instructors: Bhadra, Sharmistha (Fall) Bhadra, Sharmistha (Winter)

  • (4-2-3)

  • Prerequisite: ECSE 200

• ECSE 211 Design Principles and Methods (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024, Winter 2025

  Instructors: Boulet, Benoit; Bensalem, Roufaida; Moon, AJung (Fall) Boulet, Benoit; Bensalem, Roufaida; Moon, AJung (Winter)

  • (2-6-1)

  • Prerequisite(s): ECSE 200 and (ECSE 202 or COMP 202)

• ECSE 222 Digital Logic (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024, Winter 2025

  Instructors: Bensalem, Roufaida (Fall) Bensalem, Roufaida (Winter)

  • Prerequisite(s): COMP 202 or ECSE 202

  • (3-2-4)

• ECSE 223 Model-Based Programming (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024, Winter 2025

  Instructors: Mussbacher, Gunter (Fall) Kanaan, Marwan (Winter)

  • Prerequisite(s): ECSE 250 or COMP 250

  • (3-2-4)

• ECSE 250 Fundamentals of Software Development (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  Electrical Engineering : Software development practices in the context of object-oriented programming. Elementary data structures such as lists, stacks and trees. Recursive and non-recursive algorithms: searching and sorting, tree and graph traversal. Asymptotic notation: Big O. Introduction to tools and practices employed in commercial software development.

  Terms: Fall 2024, Winter 2025

  Instructors: Lin, Hsiu-Chin (Fall) Wei, Lili (Winter)

  • Prerequisite: COMP 202

  • (3-2-4)

• ECSE 308 Introduction to Communication Systems and Networks (4 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024, Winter 2025

  Instructors: Le-Ngoc, Tho (Fall) Champagne, Benoit (Winter)

  • Prerequisite(s):ECSE 205 and ECSE 206

  • (3-4-5)

• ECSE 310 Thermodynamics of Computing (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024, Winter 2025

  Instructors: Kirk, Andrew (Fall) Zhao, Songrui (Winter)

  • Prerequisite(s): ECSE 200, ECSE 205, and ECSE 222

  • (3-2-4)

• ECSE 321 Introduction to Software Engineering (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024, Winter 2025

  Instructors: Wei, Lili (Fall) Galasso-Carbonnel, Jessie (Winter)

  • (3-2-4)

  • Prerequisites: ECSE 223 and (COMP 202 or COMP 208 or ECSE 202)

  • Tutorials assigned by instructor.

• ECSE 324 Computer Organization (4 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024, Winter 2025

  Instructors: Dubach, Christophe (Fall) Dubach, Christophe (Winter)

  • Prerequisite(s): ECSE 200, ECSE 222, and COMP 206

  • (3-4-5)

• ECSE 325 Digital Systems (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Winter 2025

  Instructors: Clark, James J (Winter)

  • Prerequisite(s): ECSE 324

  • (3-2-4)

• ECSE 331 Electronics (4 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024, Winter 2025

  Instructors: Plant, David V (Fall) Plant, David V (Winter)

  • Prerequisite(s): ECSE 210

  • (3-4-5)

• ECSE 353 Electromagnetic Fields and Waves (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024, Winter 2025

  Instructors: Szkopek, Thomas (Fall) Liboiron-Ladouceur, Odile (Winter)

  • (3-2-4)

  • Prerequisites: ECSE 210, MATH 262, MATH 263

  • Tutorials assigned by instructor.

• ECSE 425 Computer Architecture (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Winter 2025

  Instructors: Emad, Amin (Winter)

  • (3-1-5)

  • Prerequisites: ECSE 324

  • Tutorials assigned by instructor.

• ECSE 427 Operating Systems (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024, Winter 2025

  Instructors: Kopinsky, Max (Fall) Kopinsky, Max (Winter)

  • (3-1-5)

  • Prerequisite: ECSE 324 or COMP 273

  • Tutorials assigned by instructor.

• ECSE 444 Microprocessors (4 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024, Winter 2025

  Instructors: Zilic, Zeljko (Fall) Zilic, Zeljko (Winter)

  • Prerequisite(s): ECSE 324

  • (3-4-5)

• ECSE 458D1 Capstone Design Project (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024

  Instructors: Psaromiligkos, Ioannis; Kanaan, Marwan (Fall)

  • Prerequisites: ECSE 211 and ECSE 324 and (CCOM 206 OR WCOM 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

• ECSE 458D2 Capstone Design Project (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  Electrical Engineering : See ECSE 458D1 for course description.

  Terms: Winter 2025

  Instructors: Psaromiligkos, Ioannis; Kanaan, Marwan (Winter)

  • Prerequisite: ECSE 458D1

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

Note: ECSE 458N1 and ECSE 458N2 can be taken instead of ECSE 458D1 and ECSE 458D2.

Complementary Courses

15-18 credits

Technical Complementaries
9-12 credits (3 courses) must be taken, chosen as follows:

3-4 credits (1 course) from List A
6-8credits (2 courses) from List A or List B

List A

3-12 credits from the following:

• ECSE 307 Linear Systems and Control (4 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024

  Instructors: Mahajan, Aditya (Fall)

  • Prerequisite(s): ECSE 206 and ECSE 210

  • (3-4-5)

• ECSE 335 Microelectronics (4 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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

  Terms: Fall 2024

  Instructors: Roberts, Gordon W (Fall)

  • Prerequisite(s) ECSE 331

  • Restrion(s): Not open to students who have taken ECSE 334

  • (3-4-5)

• ECSE 403 Control (4 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024, Winter 2025

  Instructors: Bouffard, François (Fall) Caines, Peter Edwin (Winter)

  • Prerequisite(s): ECSE 307

  • (3-4-5)

• ECSE 408 Communication Systems (4 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Winter 2025

  Instructors: Psaromiligkos, Ioannis (Winter)

  • Prerequisite(s): ECSE 205 and ECSE 308

  • Restriction(s): Not open to students who have taken ECSE 411.

  • (3-4-5)

• ECSE 412 Discrete Time Signal Processing (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024

  Instructors: Champagne, Benoit (Fall)

  • (3-2-4)

  • Prerequisite(s): ECSE 206 or ECSE 304 or ECSE 306.

  • Tutorials assigned by instructor.

• ECSE 415 Introduction to Computer Vision (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024, Winter 2025

  Instructors: Clark, James J (Fall) Arbel, Tal (Winter)

  • Prerequisite(s):(ECSE 206 or ECSE 316) and ECSE 205.

  • (3-1-5)

• ECSE 416 Telecommunication Networks (4 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024

  Instructors: There are no professors associated with this course for the 2024-2025 academic year.

  • 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)

• ECSE 420 Parallel Computing (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024, Winter 2025

  Instructors: Giannacopoulos, Dennis (Fall) Zilic, Zeljko (Winter)

  • (3-2-4)

  • Prerequisite: ECSE 427

• ECSE 428 Software Engineering Practice (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024, Winter 2025

  Instructors: Sabourin, Robert (Fall) Sabourin, Robert (Winter)

  • (3-1-5)

  • Students meet with the instructor and/or teaching assistant for one hour each week to discuss their project.

  • Prerequisite: ECSE 321

• ECSE 435 Mixed-Signal Test Techniques (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Winter 2025

  Instructors: Roberts, Gordon W (Winter)

  • (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.

• ECSE 439 Software Language Engineering (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Winter 2025

  Instructors: Mussbacher, Gunter (Winter)

  • (3-2-4)

  • Prerequisites: ECSE 321 or COMP 303.

  • Restricted to Software Engineering students.

• ECSE 508 Multi-Agent Systems (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Winter 2025

  Instructors: Mahajan, Aditya (Winter)

  • (3-0-6)

  • Prerequisite(s): ECSE 205 or equivalent.

• ECSE 510 Filtering and Prediction for Stochastic Systems (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: This course is not scheduled for the 2024-2025 academic year.

  Instructors: There are no professors associated with this course for the 2024-2025 academic year.

  • (3-0-6)

  • Prerequisites: ECSE 500 and ECSE 509 or equivalent.

• ECSE 544 Computational Photography (4 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Winter 2025

  Instructors: Clark, James J (Winter)

  • (3-0-9)

  • Prerequisite(s): ECSE 205 and (ECSE 206 or ECSE 316)

List B

0-12 credits from the following:

• COMP 307 Principles of Web Development (3 credits)

  Offered by: Computer Science (Faculty of Science)

  Overview

  Computer Science (Sci) : The course discusses the major principles, algorithms, languages and technologies that underlie web development. Students receive practical hands-on experience through a project.

  Terms: Fall 2024

  Instructors: Vybihal, Joseph P (Fall)

  • Prerequisite(s): COMP 206

  • Corequisite(s): COMP 303

• COMP 370 Introduction to Data Science (3 credits)

  Offered by: Computer Science (Faculty of Science)

  Overview

  Computer Science (Sci) : Comprehensive introduction to the data science process. Orientation to the use and configuration of core data science toolkits, data collection and annotation fundamentals, principles of responsible data science, the use of quantitative tools in data science, and presentation of data science findings.

  Terms: Fall 2024

  Instructors: Ruths, Derek (Fall)

  • Prerequisites: COMP 206 and COMP 250

  • Restrictions: Not open to students who have taken COMP 598 when the topic was "Introduction to Data Science" or "Data Science".

• COMP 421 Database Systems (3 credits)

  Offered by: Computer Science (Faculty of Science)

  Overview

  Computer Science (Sci) : Database Design: conceptual design of databases (e.g., entity-relationship model), relational data model, functional dependencies. Database Manipulation: relational algebra, SQL, database application programming, triggers, access control. Database Implementation: transactions, concurrency control, recovery, query execution and query optimization.

  Terms: Winter 2025

  Instructors: Kemme, Bettina; Elsaadawy, Mona (Winter)

  • 3 hours

  • Prerequisites: COMP 206, COMP 251, COMP 302

• COMP 424 Artificial Intelligence (3 credits) **

  Offered by: Computer Science (Faculty of Science)

  Overview

  Computer Science (Sci) : Introduction to search methods. Knowledge representation using logic and probability. Planning and decision making under uncertainty. Introduction to machine learning.

  Terms: Fall 2024

  Instructors: Meger, David; Farnadi, Golnoosh (Fall)

  • 3 hours

  • Prerequisites: (COMP 206 or ECSE 321), MATH 323 or equivalent and COMP 251.

  • Restriction: Not open to students who have taken or are taking ECSE 526.

• COMP 445 Computational Linguistics (3 credits)

  Offered by: Computer Science (Faculty of Science)

  Overview

  Computer Science (Sci) : Introduction to foundational ideas in computational linguistics and natural language processing. Topics include formal language theory, probability theory, estimation and inference, and recursively defined models of language structure. Emphasis on both the mathematical foundations of the field as well as how to use these tools to understand human language.

  Terms: This course is not scheduled for the 2024-2025 academic year.

  Instructors: There are no professors associated with this course for the 2024-2025 academic year.

  • Prerequisite(s): COMP 250 and MATH 240, or permission of instructor.

  • Restriction: Not open to students who have taken or are taking LING 445.

  • Students who are taking or have taken both COMP 330 and COMP 424 are advised to take COMP 550 in place of COMP 445/LING 445.

  • This is a double-prefix course and is identical in content with LING 445.

  • Some background in linguistics at the level of LING 201 is desirable, though not critical.

• COMP 512 Distributed Systems (4 credits)

  Offered by: Computer Science (Faculty of Science)

  Overview

  Computer Science (Sci) : Models and Architectures. Application-oriented communication paradigms (e.g. remote method invocation, group communication). Naming services. Synchronization (e.g. mutual exclusion, concurrency control). Fault-tolerance (e.g. process and replication, agreement protocols). Distributed file systems. Security. Examples of distributed systems (e.g. Web, CORBA). Advanced Topics.

  Terms: Fall 2024

  Instructors: Kemme, Bettina (Fall)

  • 4 hours

  • Prerequisites: COMP 310, COMP 251 or equivalent.

• COMP 520 Compiler Design (4 credits)

  Offered by: Computer Science (Faculty of Science)

  Overview

  Computer Science (Sci) : The structure of a compiler. Lexical analysis. Parsing techniques. Syntax directed translation. Run-time implementation of various programming language constructs. Introduction to code generation for an idealized machine. Students will implement parts of a compiler.

  Terms: Winter 2025

  Instructors: Dubach, Christophe (Winter)

  • 3 hours, 1 hour consultation

  • Prerequisites: COMP 273 and COMP 302

• COMP 549 Brain-Inspired Artificial Intelligence (3 credits)

  Offered by: Computer Science (Faculty of Science)

  Overview

  Computer Science (Sci) : Overview of the influence of neuroscience and psychology on Artificial Intelligence (AI). Historical topics: perceptrons, the PDP framework, Hopfield nets, Boltzmann and Helmholtz machines, and the behaviourist origins of reinforcement learning. Modern topics: deep learning, attention, memory and consciousness. Emphasis on understanding the interdisciplinary foundations of modern AI.

  Terms: Winter 2025

  Instructors: Richards, Blake (Winter)

  • Prerequisites: MATH 222, MATH 223, and MATH 323; or equivalents.

  • Restrictions: Not open to students who have taken COMP 596 when the topic was "Brain-Inspired Artificial Intelligence".

• COMP 550 Natural Language Processing (3 credits)

  Offered by: Computer Science (Faculty of Science)

  Overview

  Computer Science (Sci) : An introduction to the computational modelling of natural language, including algorithms, formalisms, and applications. Computational morphology, language modelling, syntactic parsing, lexical and compositional semantics, and discourse analysis. Selected applications such as automatic summarization, machine translation, and speech processing. Machine learning techniques for natural language processing.

  Terms: Fall 2024

  Instructors: Cheung, Jackie; Adelani, David Ifeoluwa (Fall)

  • Prerequisite(s): MATH 323 or ECSE 305, COMP 251 or COMP 252

  • Restriction(s): Not open to students who have taken COMP 599 in 201509 or 201609.

• COMP 551 Applied Machine Learning (4 credits) *

  Offered by: Computer Science (Faculty of Science)

  Overview

  Computer Science (Sci) : Selected topics in machine learning and data mining, including clustering, neural networks, support vector machines, decision trees. Methods include feature selection and dimensionality reduction, error estimation and empirical validation, algorithm design and parallelization, and handling of large data sets. Emphasis on good methods and practices for deployment of real systems.

  Terms: Fall 2024, Winter 2025

  Instructors: Prémont-Schwarz, Isabeau; Rabbany, Reihaneh (Fall) Li, Yue (Winter)

  • Prerequisite(s): MATH 323 or ECSE 205, COMP 202, MATH 133, MATH 222 (or their equivalents).

  • Restriction(s): Not open to students who have taken or are taking COMP 451, ECSE 551, MATH 462, or PSYC 560.

  • Some background in Artificial Intelligence is recommended, e.g. COMP-424 or ECSE-526, but not required.

• COMP 559 Fundamentals of Computer Animation (4 credits)

  Offered by: Computer Science (Faculty of Science)

  Overview

  Computer Science (Sci) : Fundamental mathematical and computational issues in computer animation with a focus on physics based simulation: overview of numerical integration methods, accuracy and absolute stability, stiff systems and constraints, rigid body motion, collision detection and response, friction, deformation, stable fluid simulation, use of motion capture, and other selected topics.

  Terms: This course is not scheduled for the 2024-2025 academic year.

  Instructors: There are no professors associated with this course for the 2024-2025 academic year.

  • Prerequisite(s): MATH 222, MATH 223, COMP 206, COMP 250

• COMP 562 Theory of Machine Learning (4 credits)

  Offered by: Computer Science (Faculty of Science)

  Overview

  Computer Science (Sci) : Concentration inequalities, PAC model, VC dimension, Rademacher complexity, convex optimization, gradient descent, boosting, kernels, support vector machines, regression and learning bounds. Further topics selected from: Gaussian processes, online learning, regret bounds, basic neural network theory.

  Terms: This course is not scheduled for the 2024-2025 academic year.

  Instructors: There are no professors associated with this course for the 2024-2025 academic year.

  • Prerequisites: MATH 462 or COMP 451 or (COMP 551, MATH 222, MATH 223 and MATH 324) or ECSE 551.

  • Restrictions: Not open to students who have taken or are taking MATH 562. Not open to students who have taken COMP 599 when the topic was "Statistical Learning Theory" or "Mathematical Topics for Machine Learning". Not open to students who have taken COMP 598 when the topic was "Mathematical Foundations of Machine Learning".

• COMP 579 Reinforcement Learning (4 credits)

  Offered by: Computer Science (Faculty of Science)

  Overview

  Computer Science (Sci) : Bandit algorithms, finite Markov decision processes, dynamic programming, Monte-Carlo Methods, temporal-difference learning, bootstrapping, planning, approximation methods, on versus off policy learning, policy gradient methods temporal abstraction and inverse reinforcement learning.

  Terms: Winter 2025

  Instructors: Precup, Doina; Prémont-Schwarz, Isabeau (Winter)

  • Prerequisite: A university level course in machine learning such as COMP 451 or COMP 551. Background in calculus, linear algebra, probability at the level of MATH 222, MATH 223, MATH 323, respectively.

• COMP 588 Probabilistic Graphical Models (4 credits)

  Offered by: Computer Science (Faculty of Science)

  Overview

  Computer Science (Sci) : Representation, inference and learning with graphical models; directed and undirected graphical models; exact inference; approximate inference using deterministic optimization based methods, stochastic sampling based methods; learning with complete and partial observations.

  Terms: Winter 2025

  Instructors: Ravanbakhsh, Siamak (Winter)

  • Prerequisites: COMP 251, MATH 323, MATH 324; or equivalents.

  • Restrictions: Not open to students who have taken COMP 766 or COMP 767 when the topic was "Probabilistic Graphical Models".

  • A background in AI (COMP 424) and machine learning (COMP 451 or COMP 551) is highly recommended.

• ECSE 343 Numerical Methods in Engineering (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Winter 2025

  Instructors: Khazaka, Roni (Winter)

  • (3-2-4)

  • Prerequisites: ECSE 205, MATH 263 and (ECSE 250 or COMP 250)

• ECSE 421 Embedded Systems (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Winter 2025

  Instructors: Cooperstock, Jeremy (Winter)

  • (3-1-5)

  • Prerequisites: ECSE 324

• ECSE 422 Fault Tolerant Computing (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: This course is not scheduled for the 2024-2025 academic year.

  Instructors: There are no professors associated with this course for the 2024-2025 academic year.

  • (3-1-5)

  • Prerequisites: ECSE 324 and (ECSE 250 or COMP 250)

• ECSE 424 Human-Computer Interaction (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024

  Instructors: Cooperstock, Jeremy (Fall)

  • (3-4-2)

  • Prerequisites: (ECSE 324 and ECSE 250) or (ECSE 324 and COMP 250) or (COMP 251 and COMP 273)

• ECSE 429 Software Validation (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024, Winter 2025

  Instructors: Sabourin, Robert (Fall) Sabourin, Robert (Winter)

  • (3-2-4)

  • Prerequisite: ECSE 321 or COMP 303

• ECSE 437 Software Delivery (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

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

  Terms: Fall 2024

  Instructors: Bensalem, Roufaida (Fall)

  • (3-2-4)

  • Prerequisite(s): ECSE 321 or COMP 303

• ECSE 446 Realistic Image Synthesis (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024

  Instructors: Nowrouzezahrai, Derek (Fall)

  • (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.

• ECSE 472 Fundamentals of Circuit Simulation and Modelling (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024

  Instructors: Kanaan, Marwan (Fall)

  • (3-0-6).

  • Restriction(s): Not open to students who are taking or have taken ECSE 597.

  • Prerequisites: ECSE 206 and ECSE 331

• ECSE 500 Mathematical Foundations of Systems (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024

  Instructors: Côté, François (Fall)

  • (3-0-6)

  • Restriction: Open only to graduate students within the Faculty of Engineering.

• ECSE 501 Linear Systems (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024

  Instructors: Caines, Peter Edwin (Fall)

  • (3-0-6)

  • Corequisite: ECSE 500 or permission of instructor

• ECSE 507 Optimization and Optimal Control (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Winter 2025

  Instructors: Radhakrishnan, Sindhu (Winter)

  • (3-0-6)

  • Prerequisite(s): ECSE 343 or ECSE 543 or ECSE501 or COMP 540 or MATH 247 or permission of the instructor.

• ECSE 509 Probability and Random Signals 2 (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024

  Instructors: Mahajan, Aditya (Fall)

  • (3-1-5)

  • Prerequisites: (ECSE 206 or ECSE 316) and ECSE 205.

• ECSE 516 Nonlinear and Hybrid Control Systems (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: This course is not scheduled for the 2024-2025 academic year.

  Instructors: There are no professors associated with this course for the 2024-2025 academic year.

  • Prerequisites: ECSE 500 and ECSE 501 or equivalent

• ECSE 521 Digital Communications 1 (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024

  Instructors: Le-Ngoc, Tho (Fall)

  • (3-0-6)

  • Prerequisite: ECSE 408

  • Corequisite: ECSE 509

• ECSE 525 Satellite Navigation Systems (4 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  Electrical Engineering : Fundamentals of satellite navigation. Overview of existing systems. Augmentation systems. Signal processing techniques, and receiver structures. Kalman Filtering techniques in satellite navigation. Selected applications of satellite navigation.

  Terms: This course is not scheduled for the 2024-2025 academic year.

  Instructors: There are no professors associated with this course for the 2024-2025 academic year.

  • (3-0-9)

  • Prerequisites: (ECSE 205 or equivalent) and (ECSE 206 or ECSE 316 or equivalent)

• ECSE 526 Artificial Intelligence (3 credits) **

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024

  Instructors: Cooperstock, Jeremy (Fall)

  • (3-0-6)

  • Prerequisite: ECSE 324

  • Restriction: Not open to students who have taken or are taking COMP 424.

• ECSE 532 Computer Graphics (4 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024

  Instructors: Kry, Paul (Fall)

  • (3-0-9)

  • Prerequisite: ECSE 324

• ECSE 551 Machine Learning for Engineers (4 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024, Winter 2025

  Instructors: Armanfard, Narges (Fall) Armanfard, Narges (Winter)

  • 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.

• ECSE 552 Deep Learning (4 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Winter 2025

  Instructors: Emad, Amin (Winter)

  • Prerequisite: ECSE 551 or COMP 551

• ECSE 554 Applied Robotics (4 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  Electrical Engineering : 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.

  Terms: Fall 2024

  Instructors: Lin, Hsiu-Chin (Fall)

  • 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.

• ECSE 556 Machine Learning in Network Biology (4 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024

  Instructors: Emad, Amin (Fall)

  • 3-0-9

  • Restrictions: Permission of Instructor.

• ECSE 557 Introduction to Ethics of Intelligent Systems (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  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.

  Terms: Fall 2024

  Instructors: Moon, AJung (Fall)

  • (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.

• ECSE 561 Automated Program Analysis and Testing (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  Electrical Engineering : Introduction to automated software analysis and testing techniques. Foundations of program analysis, software fault models, and test coverage models. Development and design of automated program analysis and test generation techniques.

  Terms: This course is not scheduled for the 2024-2025 academic year.

  Instructors: There are no professors associated with this course for the 2024-2025 academic year.

  • (3-0-6)

  • Prerequisites: ECSE 321 or COMP 303 or permission of the instructor

• ECSE 575 Heterogeneous Integration Systems (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  Electrical Engineering : 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).

  Terms: This course is not scheduled for the 2024-2025 academic year.

  Instructors: There are no professors associated with this course for the 2024-2025 academic year.

  • Prerequisites: ECSE 335 or permission of instructor.

• MATH 247 Honours Applied Linear Algebra (3 credits)

  Offered by: Mathematics and Statistics (Faculty of Science)

  Overview

  Mathematics & Statistics (Sci) : Matrix algebra, determinants, systems of linear equations. Abstract vector spaces, inner product spaces, Fourier series. Linear transformations and their matrix representations. Eigenvalues and eigenvectors, diagonalizable and defective matrices, positive definite and semidefinite matrices. Quadratic and Hermitian forms, generalized eigenvalue problems, simultaneous reduction of quadratic forms. Applications.

  Terms: Winter 2025

  Instructors: Hoheisel, Tim (Winter)

  • Winter

  • Prerequisite: MATH 133 or equivalent.

  • Restriction: Intended for Honours Physics and Engineering students

  • Restriction: Not open to students who have taken or are taking MATH 236, MATH 223 or MATH 251

* ECSE 551 and COMP 551 cannot both be taken.
** COMP 424 and ECSE 526 cannot both be taken.

Complementary Studies

Group A - Impact of Technology on Society

3 credits from the following:

• ANTH 212 Anthropology of Development (3 credits)

  Offered by: Anthropology (Faculty of Arts)

  Overview

  Anthropology : Processes of developmental change, as they affect small communities in the Third World and in unindustrialized parts of developed countries. Problems of technological change, political integration, population growth, industrialization, urban growth, social services, infrastructure and economic dependency.

  Terms: Winter 2025

  Instructors: Kraichati, Cyntia (Winter)

  • Winter

• BTEC 502 Biotechnology Ethics and Society (3 credits)

  Offered by: Parasitology (Agricultural & Environmental Sciences)

  Overview

  Biotechnology : Examination of particular social and ethical challenges posed by modern biotechnology such as benefit sharing, informed consent in the research setting, access to medical care worldwide, environmental safety and biodiversity and the ethical challenges posed by patenting life.

  Terms: This course is not scheduled for the 2024-2025 academic year.

  Instructors: There are no professors associated with this course for the 2024-2025 academic year.

  • Restriction: U3 and over.

• ECON 225 Economics of the Environment (3 credits)

  Offered by: Economics (Faculty of Arts)

  Overview

  Economics (Arts) : A study of the application of economic theory to questions of environmental policy. Particular attention will be given to the measurement and regulation of pollution, congestion and waste and other environmental aspects of specific economies.

  Terms: Fall 2024

  Instructors: Horner, Hervé Robert (Fall)

  • Restriction: Not open to students who have taken 154-325 or 154-425

• ECON 347 Economics of Climate Change (3 credits)

  Offered by: Economics (Faculty of Arts)

  Overview

  Economics (Arts) : The course focuses on the economic implications of, and problems posed by, predictions of global warming due to anthropogenic emissions of greenhouse gases. Attention is given to economic policies such as carbon taxes and tradeable emission permits and to the problems of displacing fossil fuels with new energy technologies.

  Terms: Winter 2025

  Instructors: Cairns, Robert D (Winter)

  • Prerequisites: ECON 208 and ECON 209 or those listed under Prerequisites above

• ENVR 201 Society, Environment and Sustainability (3 credits)

  Offered by: Bieler School of Environment (School of Environment)

  Administered by: Faculty of Science

  Overview

  Environment : This course deals with how scientific-technological, socio-economic, political-institutional and behavioural factors mediate society-environment interactions. Issues discussed include population and resources; consumption, impacts and institutions; integrating environmental values in societal decision-making; and the challenges associated with, and strategies for, promoting sustainability. Case studies in various sectors and contexts are used.

  Terms: Fall 2024

  Instructors: Badami, Madhav Govind; Cardille, Jeffrey; Garver, Geoffrey (Fall)

  • Fall

  • Section 001: Downtown Campus

  • Section 051: Macdonald Campus

• GEOG 200 Geographical Perspectives: World Environmental Problems (3 credits)

  Offered by: Geography (Faculty of Science)

  Overview

  Geography : Introduction to geography as the study of nature and human beings in a spatial context. An integrated approach to environmental systems and the human organization of them from the viewpoint of spatial relationships and processes. Special attention to environmental problems as a constraint upon Third World development.

  Terms: This course is not scheduled for the 2024-2025 academic year.

  Instructors: There are no professors associated with this course for the 2024-2025 academic year.

  • Fall

  • 3 hours

• GEOG 203 Environmental Systems (3 credits)

  Offered by: Geography (Faculty of Science)

  Overview

  Geography : An introduction to system-level interactions among climate, hydrology, soils and vegetation at the scale of drainage basins, including the study of the global geographical variability in these land-surface systems. The knowledge acquired is used to study the impact on the environment of various human activities such as deforestation and urbanisation.

  Terms: Fall 2024

  Instructors: Chmura, Gail L; MacDonald, Graham; Knox, Sara (Fall)

  • Fall

  • 3 hours

  • Restriction: Because of quantitative science content of course, not recommended for B.A. and B.Ed. students in their U0 year.

• GEOG 205 Global Change: Past, Present and Future (3 credits)

  Offered by: Geography (Faculty of Science)

  Overview

  Geography : An examination of global change, from the Quaternary Period to the present day involving changes in the physical geography of specific areas. Issues such as climatic change and land degradation will be discussed, with speculations on future environments.

  Terms: Winter 2025

  Instructors: Chmura, Gail L (Winter)

  • Winter

  • 3 hours

• GEOG 302 Environmental Management 1 (3 credits)

  Offered by: Geography (Faculty of Science)

  Overview

  Geography : An ecological analysis of the physical and biotic components of natural resource systems. Emphasis on scientific, technological and institutional aspects of environmental management. Study of the use of biological resources and of the impact of individual processes.

  Terms: Fall 2024

  Instructors: Harris, Sarah (Fall)

  • 3 hours

  • Prerequisite: Any 200-level course in Geography or MSE or BIOL 308 or permission of instructor.

• MGPO 440 Strategies for Sustainability (3 credits) *

  Offered by: Management (Desautels Faculty of Management)

  Overview

  Management Policy : This course explores the relationship between economic activity, management, and the natural environment. Using readings, discussions and cases, the course will explore the challenges that the goal of sustainable development poses for our existing notions of economic goals, production and consumption practices and the management of organizations.

  Terms: Fall 2024, Winter 2025

  Instructors: Melville, Donald (Fall) Robitaille, Jad (Winter)

  • Restriction: Open to U2, U3 students only

• PHIL 343 Biomedical Ethics (3 credits)

  Offered by: Philosophy (Faculty of Arts)

  Overview

  Philosophy : An investigation of ethical issues as they arise in the practice of medicine (informed consent, e.g.) or in the application of medical technology (in vitro fertilization, euthanasia, e.g.)

  Terms: Fall 2024

  Instructors: Hirose, Iwao (Fall)

• RELG 270 Religious Ethics and the Environment (3 credits)

  Offered by: Religious Studies (Faculty of Arts)

  Overview

  Religious Studies : Environmental potential of various religious traditions and secular perspectives, including animal rights, ecofeminism, and deep ecology.

  Terms: Winter 2025

  Instructors: Chandler, Katie; Newing, Gregory (Winter)

• SOCI 235 Technology and Society (3 credits)

  Offered by: Sociology (Faculty of Arts)

  Overview

  Sociology (Arts) : An examination of the extent to which technological developments impose constraints on ways of arranging social relationships in bureaucratic organizations and in the wider society: the compatibility of current social structures with the effective utilization of technology.

  Terms: Winter 2025

  Instructors: Wang, Skyler (Winter)

• SOCI 312 Sociology of Work and Industry (3 credits)

  Offered by: Sociology (Faculty of Arts)

  Overview

  Sociology (Arts) : The development of the world of work from the rise of industrial capitalism to the postindustrial age. Responses of workers and managers to changing organizational, technological and economic realities. Interrelations between changing demands in the workplace and the functioning of the labour market. Canadian materials in comparative perspective.

  Terms: Winter 2025

  Instructors: Eidlin, Barry (Winter)

• URBP 201 Planning the 21st Century City (3 credits)

  Offered by: Urban Planning (Faculty of Engineering)

  Overview

  Urban Planning : The study of how urban planners respond to the challenges posed by contemporary cities world-wide. Urban problems related to the environment, shelter, transport, human health, livelihoods and governance are addressed; innovative plans to improve cities and city life are analyzed.

  Terms: This course is not scheduled for the 2024-2025 academic year.

  Instructors: There are no professors associated with this course for the 2024-2025 academic year.

  • (3-1-5)

* Note: Management courses have limited enrolment and registration dates. See Important Dates at .

Group B - Humanities and Social Sciences, Management Studies, and Law

3 credits at the 200 level or higher from the following departments:

Anthropology (ANTH)

Economics (any 200- or 300-level course excluding ECON 227 and ECON 337)

History (HIST)

Philosophy (excluding PHIL 210 and PHIL 310)

Political Science (POLI)

Psychology (excluding PSYC 204 and PSYC 305, but including PSYC 100)

Religious Studies (RELG) (excluding courses that principally impart language skills, such as Sanskrit, Tibetan, Tamil, New Testament Greek, and Biblical Hebrew) ***

School of Social Work (SWRK)

Sociology (excluding SOCI 350)

OR 3 credits from the following:

• ARCH 528 History of Housing (3 credits)

  Offered by: Architecture (Faculty of Engineering)

  Overview

  Architecture : Indigenous housing both transient and permanent, from the standpoint of individual structure and pattern of settlements. The principal historic examples of houses including housing in the age of industrial revolution and contemporary housing.

  Terms: Fall 2024

  Instructors: Adams, Annmarie (Fall)

  • (2-0-7)

  • Prerequisite: ARCH 251 or permission of instructor

• BUSA 465 Technological Entrepreneurship (3 credits) *

  Offered by: Management (Desautels Faculty of Management)

  Overview

  Business Admin : Concentrating on entrepreneurship and enterprise development, particular attention is given to the start-up, purchasing and management of small to medium-sized industrial firms. The focal point is in understanding the dilemmas faced by entrepreneurs, resolving them, developing a business plan and the maximum utilization of the financial, marketing and human resources that make for a successful operation.

  Terms: Fall 2024, Winter 2025

  Instructors: An, Kwangjun (Fall) An, Kwangjun (Winter)

  • Prerequisite(s): FACC 300 or MGCR 341 or INTG 201

• CLAS 203 Greek Mythology (3 credits)

  Offered by: History and Classical Studies (Faculty of Arts)

  Overview

  Classics : A survey of the myths and legends of Ancient Greece.

  Terms: Winter 2025

  Instructors: Kozak, Lynn (Winter)

• ENVR 203 Knowledge, Ethics and Environment (3 credits)

  Offered by: Bieler School of Environment (School of Environment)

  Administered by: Faculty of Science

  Overview

  Environment : Introduction to cultural perspectives on the environment: the influence of culture and cognition on perceptions of the natural world; conflicts in orders of knowledge (models, taxonomies, paradigms, theories, cosmologies), ethics (moral values, frameworks, dilemmas), and law (formal and customary, rights and obligations) regarding political dimensions of critical environments, resource use, and technologies.

  Terms: Fall 2024, Winter 2025

  Instructors: Kosoy, Nicolas; Freeman, Julia (Fall) Hirose, Iwao; Janzwood, Amy (Winter)

  • Fall - Macdonald Campus; Winter - Downtown

  • Section 001: Downtown Campus

  • Section 051: Macdonald Campus

• ENVR 400 Environmental Thought (3 credits)

  Offered by: Bieler School of Environment (School of Environment)

  Administered by: Faculty of Science

  Overview

  Environment : Students work in interdisciplinary seminar groups on challenging philosophical, ethical, scientific and practical issues. They will explore cutting-edge ideas and grapple with the reconciliation of environmental imperatives and social, political and economic pragmatics. Activities include meeting practitioners, attending guest lectures, following directed readings, and organizing, leading and participating in seminars.

  Terms: Fall 2024, Winter 2025

  Instructors: Kosoy, Nicolas; Freeman, Julia (Fall) Sieber, Renee; Horner, Hervé Robert; Janzwood, Amy (Winter)

  • Fall - Macdonald Campus; Winter - Downtown

  • Section 001: Downtown Campus

  • Section 051: Macdonald Campus

  • Prerequisite: ENVR 203

  • Restriction: Open only to U3 students, or permission of instructor

• FACC 220 Law for Architects and Engineers (3 credits)

  Offered by: Engineering - Dean's Office (Faculty of Engineering)

  Overview

  Faculty Course : Aspects of the law which affect architects and engineers. Definition and branches of law; Federal and Provincial jurisdiction, civil and criminal law and civil and common law; relevance of statutes; partnerships and companies; agreements; types of property, rights of ownership; successions and wills; expropriation; responsibility for negligence; servitudes/easements, privileges/liens, hypothecs/ mortgages; statutes of limitations; strict liability of architect, engineer and builder; patents, trade marks, industrial design and copyright; bankruptcy; labour law; general and expert evidence; court procedure and arbitration.

  Terms: Fall 2024

  Instructors: Crowe, Joshua (Fall)

  • (3-0-6)

• FACC 500 Technology Business Plan Design (3 credits)

  Offered by: Engineering - Dean's Office (Faculty of Engineering)

  Overview

  Faculty Course : This course combines several management functional areas such as marketing, financial, operations and strategy with the skills of creativity, engineering innovation, leadership and communications. Students learn how to design an effective and winning business plan around a technology or engineering project in small, medium or large enterprises.

  Terms: Fall 2024

  Instructors: Wong, Derrick (Fall)

  • (3-0-6)

  • Prerequisite: FACC 300 or permission of instructor.

  • Recommended to be taken in combination with FACC 501.

• FACC 501 Technology Business Plan Project (3 credits)

  Offered by: Engineering - Dean's Office (Faculty of Engineering)

  Overview

  Faculty Course : Students work in teams to develop a comprehensive business plan project based on a technological or engineering innovation while utilizing site visits.

  Terms: Winter 2025

  Instructors: Wong, Derrick (Winter)

  • (1-0-8)

  • Prerequisite: FACC 300 or permission of instructor

  • Restrictions: Not open to students who have taken FACC 480.

  • Recommended to be taken in combination with FACC 500.

• HISP 225 Hispanic Civilization 1 (3 credits)

  Offered by: Languages,Literatures,Cultures (Faculty of Arts)

  Overview

  Hispanic Studies (Arts) : A survey of historical and cultural elements which constitute the background of the Hispanic world up to the 18th century; a survey of the pre-Columbian indigenous civilizations (Aztec, Maya and Inca) and the conquest of America.

  Terms: Fall 2024

  Instructors: Jouve-Martin, Jose (Fall)

  • Fall

  • Taught in English

• HISP 226 Hispanic Civilization 2 (3 credits)

  Offered by: Languages,Literatures,Cultures (Faculty of Arts)

  Overview

  Hispanic Studies (Arts) : A survey of the constitution of the ideological and political structures of the Spanish Empire in both Europe and America until the Wars of Independence; a survey of the culture and history of the Hispanic people from the early 19th Century to the present.

  Terms: Winter 2025

  Instructors: Jouve-Martin, Jose (Winter)

  • Winter

  • Taught in English

• INDR 294 Introduction to Labour-Management Relations (3 credits) *

  Offered by: Management (Desautels Faculty of Management)

  Overview

  Industrial Relations : An introduction to labour-management relations, the structure, function and government of labour unions, labour legislation, the collective bargaining process, and the public interest in industrial relations.

  Terms: Fall 2024

  Instructors: Westgate, Chantal (Fall)

• INTG 215 Entrepreneurship Essentials for Non-Management Students (3 credits) **

  Offered by: Management (Desautels Faculty of Management)

  Overview

  INTG : Fundamental concepts, theories, and practices of entrepreneurship. Focus on identifying opportunities, developing business ideas, and understanding key components of starting and managing a business.

  Terms: Fall 2024, Winter 2025

  Instructors: Aronovitch, Aviva (Fall) Aronovitch, Aviva (Winter)

  • Restrictions: Open to U1, U2, U3 non-Management students. Not open to students in the Desautels Faculty of Management.

  • Limited enrolment; priority registration for students in Minors in Entrepreneurship. Note: this course is not part of the Desautels Minor in Management for Non-Management students.

• MATH 338 History and Philosophy of Mathematics (3 credits)

  Offered by: Mathematics and Statistics (Faculty of Science)

  Overview

  Mathematics & Statistics (Sci) : Egyptian, Babylonian, Greek, Indian and Arab contributions to mathematics are studied together with some modern developments they give rise to, for example, the problem of trisecting the angle. European mathematics from the Renaissance to the 18th century is discussed, culminating in the discovery of the infinitesimal and integral calculus by Newton and Leibnitz. Demonstration of how mathematics was done in past centuries, and involves the practice of mathematics, including detailed calculations, arguments based on geometric reasoning, and proofs.

  Terms: Fall 2024

  Instructors: Fortier, Jérôme (Fall)

  • Fall

  • Prerequisites: MATH 133, MATH 141.

• MGCR 222 Introduction to Organizational Behaviour (3 credits) *

  Offered by: Management (Desautels Faculty of Management)

  Overview

  Management Core : Individual motivation and communication style; group dynamics as related to problem solving and decision making, leadership style, work structuring and the larger environment. Interdependence of individual, group and organization task and structure.

  Terms: Fall 2024, Winter 2025, Summer 2025

  Instructors: Gordon, Sarah; Ody, Amandine; Blanchette, Simon (Fall) Mackey, Jeraul; Dakhlallah, Diana; Galperin, Roman; Findlay, Sylvia Miriyam (Winter)

• MGCR 352 Principles of Marketing (3 credits) *

  Offered by: Management (Desautels Faculty of Management)

  Overview

  Management Core : Introduction to marketing principles, focusing on problem solving and decision making. Topics include: the marketing concept; marketing strategies; buyer behaviour; Canadian demographics; internal and external constraints; product; promotion; distribution; price. Lectures, text material and case studies.

  Terms: Fall 2024, Winter 2025, Summer 2025

  Instructors: Etemad, Hamid; Aronovitch, Aviva; Cyrius, Fabienne; Blanchette, Simon (Fall) Doré, Bruce; Zhao, Clarice (Winter)

• ORGB 321 Leadership (3 credits) *

  Offered by: Management (Desautels Faculty of Management)

  Overview

  Organizational Behaviour : Leadership theories provide students with opportunities to assess and work on improving their leadership skills. Topics include: the ability to know oneself as a leader, to formulate a vision, to have the courage to lead, to lead creatively, and to lead effectively with others.

  Terms: Fall 2024, Summer 2025

  Instructors: Westgate, Chantal (Fall) Westgate, Chantal (Summer)

  • Prerequisite: MGCR 222 or permission of Instructor and approval of the BCom Program Office.

  • Restrictions: Restricted to U2 and U3 students.

• ORGB 423 Human Resources Management (3 credits) *

  Offered by: Management (Desautels Faculty of Management)

  Overview

  Organizational Behaviour : Issues involved in personnel administration. Topics include: human resource planning, job analysis, recruitment and selection, training and development, performance appraisal, organization development and change, issues in compensation and benefits, and labour-management relations.

  Terms: Fall 2024

  Instructors: Gauvin, Tatiana (Fall)

  • Prerequisite: MGCR 222 or permission of the instructor and approval of the B.Com. Office.

  • Requirement for the Institute of Internal Auditors

* Note: Management courses have limited enrolment and registration dates. See Important Dates at .

** INTG 215 is not open to students who have taken INTG 201 and INTG 202.

*** If you are uncertain whether or not a course principally imparts language skills, please see an adviser in the ²»Á¼Ñо¿Ëù Engineering Student Centre (Frank Dawson Adams Building, Room 22) or email an adviser.

Note regarding language courses: Language courses are not accepted to satisfy the Complementary Studies Group B requirement, effective for students who entered the program as of Fall 2017.

Elective Course (3 credits)

One 3-credit course at the 200-level or higher from any department at ²»Á¼Ñо¿Ëù, approved by the Undergraduate Programs Office in the Department of Electrical and Computer Engineering.