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Note: This is the 2017–2018 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .
Note: This is the 2017–2018 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .
Program credit weight: 137-144 credits
Program credit weight for Quebec CEGEP students: 115-119 credits
Program credit weight for out-of-province students: 137-141 credits
This program offers students the opportunity to focus their studies on the skills needed to design and develop complex software systems. This emerging field of engineering is a major component of the growing Information Technology (IT) sector of the economy, in which the demand for qualified personnel continues to outstrip supply. Graduates of this program will have a solid foundation for careers in the software industry.
In addition to technical complementary courses, students 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.
25 credits
Generally, students admitted to Engineering from Quebec CEGEPs are granted transfer credit for these Year 0 (Freshman) courses and enter a 115- to 119-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.
Chemistry : A study of the fundamental principles of physical chemistry.
Terms: Winter 2018
Instructors: Huot, Mitchell; Sewall, Samuel Lewis; Gauthier, Jean-Marc; Siwick, Bradley; Ghoshdastidar, Avik (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
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; quadratic loci in two and three dimensions.
Terms: Fall 2017, Winter 2018, Summer 2018
Instructors: Kelome, Djivede; Dolce, Francesco; Qiu, Guohuan; Sharma, Amit (Fall) Wang, Haining (Winter) Patrias, Rebecca (Summer)
3 hours lecture, 1 hour tutorial
Prerequisite: a course in functions
Restriction A: Not open to students who have taken MATH 221 or CEGEP objective 00UQ or equivalent.
Restriction B: Not open to students who have taken or are taking MATH 123, MATH 130 or MATH 131, except by permission of the Department of Mathematics and Statistics.
Restriction C: Not open to students who are taking or have taken MATH 134.
Mathematics & Statistics (Sci) : Review of functions and graphs. Limits, continuity, derivative. Differentiation of elementary functions. Antidifferentiation. Applications.
Terms: Fall 2017, Winter 2018, Summer 2018
Instructors: Trudeau, Sidney; Meng, xianchang; Hu, Ying (Fall) Sektnan, Lars (Winter) Abdenbi, Brahim (Summer)
3 hours lecture, 1 hour tutorial
Prerequisite: High School Calculus
Restriction: Not open to students who have taken MATH 120, MATH 139 or CEGEP objective 00UN or equivalent
Restriction: Not open to students who have taken or are taking MATH 122 or MATH 130 or MATH 131, except by permission of the Department of Mathematics and Statistics
Each Tutorial section is enrolment limited
Mathematics & Statistics (Sci) : The definite integral. Techniques of integration. Applications. Introduction to sequences and series.
Terms: Fall 2017, Winter 2018, Summer 2018
Instructors: Gobin, Damien (Fall) Trudeau, Sidney; Gaster, Jonah; Fox, Thomas F (Winter) Nica, Bogdan Lucian; Causley, Broderick (Summer)
Restriction: Not open to students who have taken MATH 121 or CEGEP objective 00UP or equivalent
Restriction Note B: Not open to students who have taken or are taking MATH 122 or MATH 130 or MATH 131, except by permission of the Department of Mathematics and Statistics.
Each Tutorial section is enrolment limited
Physics : The basic laws and principles of Newtonian mechanics; oscillations, waves, and wave optics.
Terms: Fall 2017
Instructors: Ragan, Kenneth J (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
Physics : The basic laws of electricity and magnetism; geometrical optics.
Terms: Winter 2018
Instructors: Hilke, Michael (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 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.
35 credits
Communication (CCE) : 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 2017, Winter 2018, Summer 2018
Instructors: Dechief, Diane; Filion, Marianne; Sacks, Steven; Macmillan, Stuart; Popova, Emilia Marinova; Sundberg, Ross; Atallah, Bassel; Bider, Noreen Jane; Churchill, Andrew; Baskind, Alana (Fall) Dechief, Diane; Baskind, Alana; Bider, Noreen Jane; Scheer, Kodi; Filion, Marianne; Sacks, Steven; Churchill, Andrew; Abram, Zachary (Winter) Atallah, Bassel; Dechief, Diane; Bider, Noreen Jane; Churchill, Andrew; Popova, Emilia Marinova (Summer)
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 2017, Winter 2018
Instructors: Vybihal, Joseph P (Fall) Meger, David (Winter)
Computer Science (Sci) : Mathematical tools (binary numbers, induction, recurrence relations, asymptotic complexity, establishing correctness of programs), Data structures (arrays, stacks, queues, linked lists, trees, binary trees, binary search trees, heaps, hash tables), Recursive and non-recursive algorithms (searching and sorting, tree and graph traversal). Abstract data types, inheritance. Selected topics.
Terms: Fall 2017, Winter 2018
Instructors: Langer, Michael (Fall) Gonzalez Oliver, Carlos; Waldispuhl, Jérôme (Winter)
Computer Science (Sci) : Introduction to algorithm design and analysis. Graph algorithms, greedy algorithms, data structures, dynamic programming, maximum flows.
Terms: Fall 2017, Winter 2018
Instructors: Hatami, Hamed (Fall) Vetta, Adrian Roshan (Winter)
3 hours
Prerequisite: COMP 250
COMP 251 uses mathematical proof techniques that are taught in the corequisite course(s). If possible, students should take the corequisite course prior to COMP 251.
COMP 251 uses basic counting techniques (permutations and combinations) that are covered in MATH 240 and 363, 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.
Computer Science (Sci) : Programming language design issues and programming paradigms. Binding and scoping, parameter passing, lambda abstraction, data abstraction, type checking. Functional and logic programming.
Terms: Fall 2017, Winter 2018
Instructors: Ferreira Ruiz, Francisco; Pientka, Brigitte (Fall) Verbrugge, Clark (Winter)
3 hours
Prerequisite: COMP 250
Computer Science (Sci) : Advanced algorithm design and analysis. Linear programming, complexity and NP-completeness, advanced algorithmic techniques.
Terms: Fall 2017, Winter 2018
Instructors: Cai, Yang (Fall) Hatami, Hamed (Winter)
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 2018
Instructors: D'silva, Joseph (Winter)
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 Æ»¹ûÒùÔº.
Terms: Fall 2017, Winter 2018
Instructors: Chen, Lawrence R (Fall) Ehrlicher, Allen (Winter)
(1.5-0-1.5)
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: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
Restriction(s): Restricted 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) program.
(0-0-0.5)
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 2017, Winter 2018, Summer 2018
Instructors: Jassim, Raad (Fall) Jassim, Raad (Winter) Jassim, Raad (Summer)
(3-1-5)
Restriction: Not open to students who have taken MIME 310.
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 2017, Winter 2018
Instructors: Boulet, Benoit (Fall) Kokkolaras, Michael (Winter)
Mathematics & Statistics (Sci) : Mathematical foundations of logical thinking and reasoning. Mathematical language and proof techniques. Quantifiers. Induction. Elementary number theory. Modular arithmetic. Recurrence relations and asymptotics. Combinatorial enumeration. Functions and relations. Partially ordered sets and lattices. Introduction to graphs, digraphs and rooted trees.
Terms: Fall 2017, Winter 2018
Instructors: Decorte, Philip Evan (Fall) Seamone, Benjamin (Winter)
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 2017, Winter 2018, Summer 2018
Instructors: Trudeau, Sidney; Lu, Xinyang (Fall) Drury, Stephen W (Winter) Trudeau, Sidney (Summer)
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 2017, Winter 2018, Summer 2018
Instructors: Hurtubise, Jacques Claude; Lin, Jessica (Fall) Meng, xianchang; Jain, Rohit (Winter) McGregor, Geoffrey (Summer)
* Note: FACC 100 (Introduction to the Engineering Profession) must be taken during the first year of study.
52 credits
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 2017, Winter 2018
Instructors: Liboiron-Ladouceur, Odile (Fall) Szkopek, Thomas (Winter)
Electrical Engineering : Software development practices in the context of structured and object-oriented programming. Introduces the formalisms inherent in medium-to-large scale object-oriented programming. Introduction to tools and practices employed in commercial software development.
Terms: Fall 2017, Winter 2018
Instructors: Ferrie, Frank P (Fall) Ferrie, Frank P (Winter)
(3-2-4)
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 2017, Winter 2018
Instructors: Caines, Peter Edwin (Fall) Davis, Donald Peter; Saboune, Jamal (Winter)
Not open to students who have taken ECSE 305.
(3-2-4)
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 2017, Winter 2018
Instructors: Lowther, David Alister; Ferrie, Frank P (Fall) Lowther, David Alister; Ferrie, Frank P (Winter)
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 2017, Winter 2018
Instructors: Nowrouzezahrai, Derek (Fall) Davis, Donald Peter (Winter)
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: Winter 2018
Instructors: Mussbacher, Gunter (Winter)
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: Winter 2018
Instructors: Kirk, Andrew G (Winter)
Electrical Engineering : Introduction to the physical and software architecture of networks and the analysis and representation of signals; client-server and peer-to-peer architectures; layered design principles; network applications and socket programming; multimedia streaming, web transfer, and voice-over-IP; continuous-time and discrete-time signals; Fourier transforms and frequency domain analysis and representation of signals; filtering and sampling; flow and congestion control; solutions of linear constant-coefficient differential equations, transient and steady state response; Laplace transforms; addressing and routing for unicast, multicast, and broadcast transmission; wired and wireless access systems; multiple access protocols. Examples: Ethernet, http, TCP/IP, 802.11, OSPF, BGP.
Terms: Winter 2018
Instructors: Psaromiligkos, Ioannis (Winter)
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 2017, Winter 2018
Instructors: McIntosh, Shane (Fall) Varro, Daniel (Winter)
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 2017, Winter 2018
Instructors: Gross, Warren (Fall) Amini, Marzieh (Winter)
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.
Terms: Fall 2017
Instructors: Mussbacher, Gunter (Fall)
Prerequisite: ECSE 223
(3-2-4)
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 2017
Instructors: Giannacopoulos, Dennis (Fall)
(3-2-4)
Prerequisite: ECSE 427
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 2017, Winter 2018
Instructors: Harmouche, Rola (Fall) Harmouche, Rola (Winter)
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: Winter 2018
Instructors: Sabourin, Robert (Winter)
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 2017
Instructors: McIntosh, Shane (Fall)
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 2017, Winter 2018
Instructors: Labeau, Fabrice; Psaromiligkos, Ioannis (Fall) Labeau, Fabrice; Psaromiligkos, Ioannis (Winter)
Electrical Engineering : A design project undertaken with close mentorship by a staff member and under the supervision of the course instructor. The course is a continuation of ECSE 456.
Terms: Fall 2017, Winter 2018
Instructors: Labeau, Fabrice; Psaromiligkos, Ioannis (Fall) Labeau, Fabrice; Psaromiligkos, Ioannis (Winter)
Prerequisite: ECSE 456
21-28 credits
15-20 credits (5 courses) from the following:
Computer Science (Sci) : Computer representation of numbers, IEEE Standard for Floating Point Representation, computer arithmetic and rounding errors. Numerical stability. Matrix computations and software systems. Polynomial interpolation. Least-squares approximation. Iterative methods for solving a nonlinear equation. Discretization methods for integration and differential equations.
Terms: Fall 2017
Instructors: Chang, Xiao-Wen (Fall)
Computer Science (Sci) : Characteristics and utility of concurrent programs; formal methods for specification, verification and development of concurrent programs; communications, synchronization, resource allocation and management, coherency and integrity.
Terms: Winter 2018
Instructors: Verbrugge, Clark (Winter)
Computer Science (Sci) : This course considers issues relevant to the design of robotic and of intelligent systems. How can robots move and interact. Robotic hardware systems. Kinematics and inverse kinematics. Sensors, sensor data interpretation and sensor fusion. Path planning. Configuration spaces. Position estimation. Intelligent systems. Spatial mapping. Multi-agent systems. Applications.
Terms: Fall 2017
Instructors: Dudek, Gregory L (Fall)
Computer Science (Sci) : Introduction to search methods. Knowledge representation using logic and probability. Planning and decision making under uncertainty. Introduction to machine learning.
Terms: Winter 2018
Instructors: Cheung, Jackie (Winter)
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 2017
Instructors: Kemme, Bettina; Asad, Omar (Fall)
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 2018
Instructors: Krolik, Alexander (Winter)
Computer Science (Sci) : Genre and history of games, basic game design, storytelling and narrative analysis, game engines, design of virtual worlds, real-time 2D graphics, game physics and physical simulation, pathfinding and game AI, content generation, 3D game concerns, multiplayer and distributed games, social issues.
Terms: Fall 2017
Instructors: Verbrugge, Clark (Fall)
Computer Science (Sci) : Propositional logic - syntax and semantics, temporal logic, other modal logics, model checking, symbolic model checking, binary decision diagrams, other approaches to formal verification.
Terms: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
Computer Science (Sci) : Development, analysis, and maintenance of software architectures, with special focus on modular decomposition and reverse engineering.
Terms: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
4 hours
Prerequisite: COMP 303.
Computer Science (Sci) : Model-driven software development; requirements engineering based on use cases and scenarios; object-oriented modelling using UML and OCL to establish complete and precise analysis and design documents; mapping to Java. Introduction to meta-modelling and model transformations, use of modelling tools.
Terms: Fall 2017
Instructors: Kienzle, Jorg Andreas (Fall)
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 2017, Winter 2018
Instructors: Pineau, Joelle (Fall) Chandar, Sarath; Lowe, Ryan; Van Hoof, Herke (Winter)
Computer Science (Sci) : 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: Winter 2018
Instructors: Kry, Paul (Winter)
Computer Science (Sci) : Study of a collection of algorithms that are basic to the world of concurrent programming. Discussion of algorithms from the following areas: termination detection, deadlock detection, global snapshots, clock synchronization, fault tolerance (byzantine and self-stabilizing systems). Students will implement algorithms on the BBN butterfly and will present papers on topics in these areas.
Terms: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
3 hours
Prerequisite: COMP 310
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 2018
Instructors: Clark, James J (Winter)
Prerequisite(s): ECSE 324
(3-2-4)
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 2017
Instructors: Arbel, Tal (Fall)
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: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
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 2018
Instructors: Cooperstock, Jeremy (Winter)
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 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 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.
Terms: Fall 2017
Instructors: Cooperstock, Jeremy (Fall)
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 2018
Instructors: Mellah, Hakim (Winter)
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: Fall 2017
Instructors: Mussbacher, Gunter (Fall)
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: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
3-6 credits
Students from CEGEP must complete 6 credits of Natural Science complementary courses; all other students must complete 3 credits of courses.
Natural Science complementary courses must be chosen from courses at the 200-level or higher from the following science departments, approved by the Undergraduate Programs Office in the Department of Electrical and Computer Engineering.
Atmospheric and Oceanic Sciences (ATOC)
Biology (BIOL)
Chemistry (CHEM)
Earth and Planetary Sciences (EPSC)
Earth System Science (ESYS)
Physics (PHYS)
6 credits
3 credits from the following:
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 2018, Summer 2018
Instructors: Paquet, Pierre-Alexandre (Winter) Fox, Graham (Summer)
Winter
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 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
Restriction: U3 and over.
Civil Engineering : Infrastructure systems, historical background and socio-economic impact; planning, organization, communication and decision support systems; budgeting and management; operations, maintenance, rehabilitation and replacement issues; public and private sectors, privatization and governments; infrastructure crisis and new technologies; legal, environmental, socio-economic and political aspects of infrastructure issues; professional ethics and responsibilities; case studies.
Terms: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
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 2017
Instructors: Galiana, Isabel (Fall)
Restriction: Not open to students who have taken 154-325 or 154-425
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: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
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 2017
Instructors: Manaugh, Kevin; Badami, Madhav Govind; Cardille, Jeffrey; Garver, Geoffrey (Fall)
Fall
Section 001: Downtown Campus
Section 051: Macdonald Campus
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: Fall 2017
Instructors: Meredith, Thomas C (Fall)
Fall
3 hours
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 2017
Instructors: Moore, Timothy R; Chmura, Gail L (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.
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 2018
Instructors: Chmura, Gail L; MacDonald, Graham (Winter)
Winter
3 hours
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 2017
Instructors: Meredith, Thomas C (Fall)
3 hours
Prerequisite: Any 200-level course in Geography or MSE or BIOL 308 or permission of instructor.
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 2017, Winter 2018
Instructors: Etzion, Dror (Fall) Robitaille, Jad (Winter)
Restriction: Open to U2, U3 students only
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 2017
Instructors: Hirose, Iwao (Fall)
Religious Studies : Environmental potential of various religious traditions and secular perspectives, including animal rights, ecofeminism, and deep ecology.
Terms: Winter 2018
Instructors: Goodin, David (Winter)
Fall: Macdonald Campus (Ste-Anne-de-Bellevue). Winter: Downtown Campus.
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: Fall 2017
Instructors: Smith, Michael R (Fall)
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: Fall 2017
Instructors: Eidlin, Carl (Fall)
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 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
(3-1-5)
* Note: Management courses have limited enrolment and registration dates. See Important Dates at .
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:
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: This course is not scheduled for the 2017-2018 academic year.
Instructors: There are no professors associated with this course for the 2017-2018 academic year.
(2-0-7)
Prerequisite: ARCH 251 or permission of instructor
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 2017, Winter 2018
Instructors: Younkin, Peter (Fall) Avedesian, Michael M (Winter)
Classics : A survey of the myths and legends of Ancient Greece.
Terms: Fall 2017, Summer 2018
Instructors: Kaloudis, Naomi (Fall) Gauthier, François (Summer)
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 2017, Winter 2018
Instructors: Mikkelson, Gregory Matthew; Freeman, Julia (Fall) Hirose, Iwao; Vaccaro, Ismael (Winter)
Fall - Macdonald Campus; Winter - Downtown
Section 001: Downtown Campus
Section 051: Macdonald Campus
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 2017, Winter 2018
Instructors: Freeman, Julia; van der Ven, Hamish (Fall) Mikkelson, Gregory Matthew; Lovejoy, Shaun MacDonald; Barney, Darin (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
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 2017
Instructors: Bédard, Eric; Dobrota, Bogdan (Fall)
(3-0-6)
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 2017
Instructors: Avedesian, Michael M (Fall)
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 2018
Instructors: Avedesian, Michael M (Winter)
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 2017
Instructors: Ceia, Vanessa (Fall)
Fall
Taught in English
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 2018
Instructors: Jouve-Martin, Jose (Winter)
Winter
Taught in English
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 2017, Winter 2018, Summer 2018
Instructors: Westgate, Chantal; Guerin, Richard (Fall) Westgate, Chantal (Winter) Westgate, Chantal (Summer)
INTG : Essentials of management using an integrated approach. Three modules (managing money, managing people and managing information) cover fundamentals of accounting, finance, organizational behaviour and information systems; and illustrate how the effective management of human, financial and technological resources contributes to the success of an organization. Emphasizes an integrated approach to management, highlighting how organizations function as a whole and the importance of being able to work across functional and organizational boundaries.
Terms: Fall 2017
Instructors: Tsang, Desmond; Madan, Sujata; Westgate, Chantal; Bassellier, Genevieve; Schumacher, David (Fall)
Only open to U1, U2, U3 non-Management students. Not open to students in the Desautels Faculty of Management or students who have taken two or more of courses MGCR 211, MGCR 222 or MGCR 341.
Limited enrolment; priority registration to students in Minors in Entrepreneurship. Note: this course is not part of the Desautels Minors in Management, Finance, Marketing or Operations Management (for non-Management students).
INTG : Essentials of management using an integrated approach. Four modules (managing customer relationships, managing processes, managing digital innovation and managing the enterprise) cover fundamentals of marketing, strategy, operations and information systems; and illustrate how this knowledge is harnessed in an organization to create value for customers and other stakeholders. Emphasizes an integrated approach to management, highlighting how organizations function as a whole and the importance of being able to work across functional and organizational boundaries.
Terms: Winter 2018
Instructors: Donovan, Richard George; Bassellier, Genevieve; Mishra, Saurabh; Gumus, Mehmet; Phelps, Corey (Winter)
Restriction(s): Only open to U1, U2, U3 students. Not open to students in the Desautels Faculty of Management or students who have taken two or more of courses MGCR 331, MGCR 352, MGCR 423 or MGCR 472.
Limited enrolment; priority registration to students in Minors in Entrepreneurship. It is suggested that students take INTG 201 prior to INTG 202, but is not required. Note: this course is not part of the Desautels Minors in Management, Finance, Marketing or Operations Management (for non-Management Students).
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 in some detail.
Terms: Fall 2017
Instructors: Fox, Thomas F (Fall)
Fall
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 2017, Winter 2018, Summer 2018
Instructors: Westgate, Chantal; Jaeger, Alfred M; Sepinwall, Sharyn; Sharma, Maya; Sylvain, Nathalie-Michele (Fall) Westgate, Chantal; Sharma, Maya; Malo, Katherine; Al Hajj, Raghid; Banerjee, Mallika (Winter) Banerjee, Mallika; Westgate, Chantal (Summer)
Continuing Studies: requirement for CMA, CGA, the EA of AACI, and the Institute of Internal Auditors
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 2017, Winter 2018, Summer 2018
Instructors: Etemad, Hamid; Dotzel, Thomas; Han, DaHee; Dellar, Mary; Kim, Hee Ryung (Fall) Lu, Yi; Yang, Nathan; Royce, Charles; Soroka, Robert H S (Winter) Dellar, Mary; Lee, June Soo (Summer)
Continuing Studies: requirement for the Institute of Internal Auditors, and the Canadian Institute of Management
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 2017, Winter 2018
Instructors: Hewlin, Patricia (Fall) Gagnon, Suzanne (Winter)
Prerequisite: MGCR 222 or permission of Instructor and approval of the BCom Program Office.
Restrictions: Restricted to U2 and U3 students.
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 2017, Winter 2018, Summer 2018
Instructors: Daoud, Maha (Fall) Daoud, Maha; Ruel, Stefanie (Winter) Westgate, Chantal (Summer)
Prerequisite: MGCR 222
Requirement for the Institute of Internal Auditors
* Note: Management courses have limited enrolment and registration dates. See Important Dates at .
** Note: INTG 201 and INTG 202 are not open to students who have taken certain Management courses. Please see the INTG 201 and INTG 202 course information for a list of these courses.
*** If you are uncertain whether or not a course principally imparts language skills, please see an adviser in the Æ»¹ûÒùÔº 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.