Program Requirements
This program provides a broad introduction to the principles of computer science and covers in depth the design and development of software systems.
Students may complete this program with a maximum of 63 credits or a minimum of 60 credits if they are exempt from taking COMP 202.
Required Courses (39 credits)
* Students who have sufficient knowledge in a programming language do not need to take COMP 202.
** Students may select either COMP 310 or ECSE 427, but not both.

COMP 202 Foundations of Programming (3 credits) *
Overview
Computer Science (Sci) : Introduction to programming in a modern highlevel language, modular software design and debugging. Programming concepts are illustrated using a variety of application areas.
Terms: Fall 2015, Winter 2016, Summer 2016
Instructors: Melanie LymanAbramovitch, Daniel Pomerantz (Fall) Yang Cai, Jackie Cheung, Melanie LymanAbramovitch (Winter) Daniel Pomerantz (Summer)
3 hours
Prerequisite: a CEGEP level mathematics course
Restrictions: COMP 202 and COMP 208 cannot both be taken for credit. COMP 202 is intended as a general introductory course, while COMP 208 is intended for students interested in scientific computation. COMP 202 cannot be taken for credit with or after COMP 250

COMP 206 Introduction to Software Systems (3 credits)
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 2015, Winter 2016
Instructors: David Meger, Gregory L Dudek (Fall) Joseph P Vybihal (Winter)

COMP 250 Introduction to Computer Science (3 credits)
Overview
Computer Science (Sci) : An introduction to the design of computer algorithms, including basic data structures, analysis of algorithms, and establishing correctness of programs. Overview of topics in computer science.
Terms: Fall 2015, Winter 2016
Instructors: Mathieu Blanchette, Jérôme Waldispuhl (Fall) Claude Crepeau (Winter)

COMP 251 Algorithms and Data Structures (3 credits)
Overview
Computer Science (Sci) : Introduction to algorithm design and analysis. Graph algorithms, greedy algorithms, data structures, dynamic programming, maximum flows.
Terms: Fall 2015, Winter 2016
Instructors: Claude Crepeau (Fall) Adrian Roshan Vetta (Winter)

COMP 273 Introduction to Computer Systems (3 credits)
Overview
Computer Science (Sci) : Number representations, combinational and sequential digital circuits, MIPS instructions and architecture datapath and control, caches, virtual memory, interrupts and exceptions, pipelining.
Terms: Fall 2015, Winter 2016
Instructors: Paul Kry (Fall) Michael Langer (Winter)
3 hours
Corequisite: COMP 206.

COMP 302 Programming Languages and Paradigms (3 credits)
Overview
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 2015, Winter 2016
Instructors: Brigitte Pientka (Fall) Prakash Panangaden (Winter)
3 hours
Prerequisite: COMP 250

COMP 303 Software Development (3 credits)
Overview
Computer Science (Sci) : Principles, mechanisms, techniques, and tools for objectoriented software development: encapsulation, design patterns, unit testing, etc.
Terms: Fall 2015, Winter 2016
Instructors: Joseph P Vybihal (Fall) Martin Robillard (Winter)

COMP 310 Operating Systems (3 credits) **
Overview
Computer Science (Sci) : Control and scheduling of large information processing systems. Operating system software  resource allocation, dispatching, processors, access methods, job control languages, main storage management. Batch processing, multiprogramming, multiprocessing, time sharing.
Terms: Fall 2015, Winter 2016
Instructors: Muthucumaru Maheswaran (Fall) Muthucumaru Maheswaran (Winter)
3 hours
Prerequisite: COMP 273

COMP 361D1 Software Engineering Project (3 credits)
Overview
Computer Science (Sci) : Software development process in practice: requirement elicitation and analysis, software design, implementation, integration, test planning, and maintenance. Application of the core concepts and techniques through the realization of a large software system.
Terms: Fall 2015
Instructors: Joseph P Vybihal (Fall)
Corequisite: COMP 303
Restriction: Not open to students who have taken the 3 credit version of COMP 361.
Students must register for both COMP 361D1 and COMP 361D2
No credit will be given for this course unless both COMP 361D1 and COMP 361D2 are successfully completed in consecutive terms

COMP 361D2 Software Engineering Project (3 credits)
Overview
Computer Science (Sci) : See COMP 361D1 for course description.
Terms: Winter 2016
Instructors: Joseph P Vybihal (Winter)
Prerequisite: COMP 361D1
No credit will be given for this course unless both COMP 361D1 and COMP 361D2 are successfully completed in consecutive terms

ECSE 427 Operating Systems (3 credits) **
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 2015, Winter 2016
Instructors: Muthucumaru Maheswaran (Fall) Muthucumaru Maheswaran (Winter)

ECSE 429 Software Validation (3 credits)
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 2015
Instructors: Gunter Mussbacher (Fall)

MATH 223 Linear Algebra (3 credits)
Overview
Mathematics & Statistics (Sci) : Review of matrix algebra, determinants and systems of linear equations. Vector spaces, linear operators and their matrix representations, orthogonality. Eigenvalues and eigenvectors, diagonalization of Hermitian matrices. Applications.
Terms: Fall 2015, Winter 2016
Instructors: Thomas F Fox (Fall) Michael Pichot (Winter)

MATH 240 Discrete Structures 1 (3 credits)
Overview
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 2015
Instructors: Adrian Roshan Vetta (Fall)
Complementary Courses (24 credits)
At least 9 credits selected from groups A and B, with at least 3 credits selected from each:
Group A:

MATH 222 Calculus 3 (3 credits)
Overview
Mathematics & Statistics (Sci) : Taylor series, Taylor's theorem in one and several variables. Review of vector geometry. Partial differentiation, directional derivative. Extreme of functions of 2 or 3 variables. Parametric curves and arc length. Polar and spherical coordinates. Multiple integrals.
Terms: Fall 2015, Winter 2016, Summer 2016
Instructors: Stephen W Drury, Jingyin Huang (Fall) Stephen W Drury (Winter) Geoffrey McGregor (Summer)

MATH 323 Probability (3 credits)
Overview
Mathematics & Statistics (Sci) : Sample space, events, conditional probability, independence of events, Bayes' Theorem. Basic combinatorial probability, random variables, discrete and continuous univariate and multivariate distributions. Independence of random variables. Inequalities, weak law of large numbers, central limit theorem.
Terms: Fall 2015, Winter 2016, Summer 2016
Instructors: William J Anderson (Fall) Irene Vrbik (Winter) Djivede Kelome (Summer)

MATH 324 Statistics (3 credits)
Overview
Mathematics & Statistics (Sci) : Sampling distributions, point and interval estimation, hypothesis testing, analysis of variance, contingency tables, nonparametric inference, regression, Bayesian inference.
Terms: Fall 2015, Winter 2016
Instructors: Johanna Neslehova (Fall) Christian Genest (Winter)
Fall and Winter
Prerequisite: MATH 323 or equivalent
Restriction: Not open to students who have taken or are taking MATH 357
You may not be able to receive credit for this course and other statistic courses. Be sure to check the Course Overlap section under Faculty Degree Requirements in the Arts or Science section of the Calendar.
Group B:
 COMP 330 Theory of Computation (3 credits)

COMP 360 Algorithm Design (3 credits)
Overview
Computer Science (Sci) : Advanced algorithm design and analysis. Linear programming, complexity and NPcompleteness, advanced algorithmic techniques.
Terms: Fall 2015, Winter 2016
Instructors: Hamed Hatami (Fall) Hamed Hatami (Winter)
At least 15 credits selected from the following, with at least 6 credits selected from Software Engineering Specializations, and at least 6 credits selected from Applications Specialties.
Software Engineering Specializations
* Students may select either COMP 409 or ECSE 420, but not both.

COMP 409 Concurrent Programming (3 credits) *
Overview
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: This course is not scheduled for the 20152016 academic year.
Instructors: There are no professors associated with this course for the 20152016 academic year.

COMP 523 Languagebased Security (3 credits)
Overview
Computer Science (Sci) : Stateoftheart languagebased techniques for enforcing security policies in distributed computing environments. Static techniques (such as type and proofchecking technology), verification of security policies and applications such as proofcarrying code, certifying compilers, and proofcarrying authentication.
Terms: This course is not scheduled for the 20152016 academic year.
Instructors: There are no professors associated with this course for the 20152016 academic year.

COMP 525 Formal Verification (3 credits)
Overview
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 20152016 academic year.
Instructors: There are no professors associated with this course for the 20152016 academic year.

COMP 529 Software Architecture (4 credits)
Overview
Computer Science (Sci) : Development, analysis, and maintenance of software architectures, with special focus on modular decomposition and reverse engineering.
Terms: Fall 2015
Instructors: Martin Robillard (Fall)
4 hours
Prerequisite: COMP 303.

COMP 533 ModelDriven Software Development (3 credits)
Overview
Computer Science (Sci) : Modeldriven software development; requirements engineering based on use cases and scenarios; objectoriented modelling using UML and OCL to establish complete and precise analysis and design documents; mapping to Java. Introduction to metamodelling and model transformations, use of modelling tools.
Terms: This course is not scheduled for the 20152016 academic year.
Instructors: There are no professors associated with this course for the 20152016 academic year.

ECSE 420 Parallel Computing (3 credits) *
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 2015
Instructors: Zeljko Zilic (Fall)
(324)
Prerequisite: ECSE 427

ECSE 539 Software Language Engineering (3 credits)
Overview
Electrical Engineering : Practical and theoretical knowledge for developing software languages and models; foundations for modelbased software development; topics include principles of modeldriven engineering; concerndriven development; intentional, structural, and behavioral models as well as configuration models; constraints; language engineering; domainspecific languages; metamodelling; model transformations; models of computation; model analyses; and modeling tools.
Terms: Fall 2015
Instructors: Gunter Mussbacher (Fall)
Application Specialties
* Students may select either COMP 557 or ECSE 532, but not both.

COMP 350 Numerical Computing (3 credits)
Overview
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. Leastsquares approximation. Iterative methods for solving a nonlinear equation. Discretization methods for integration and differential equations.
Terms: Fall 2015
Instructors: XiaoWen Chang (Fall)

COMP 417 Introduction Robotics and Intelligent Systems (3 credits)
Overview
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. Multiagent systems. Applications.
Terms: Winter 2016
Instructors: Gregory L Dudek, David Meger (Winter)

COMP 421 Database Systems (3 credits)
Overview
Computer Science (Sci) : Database Design: conceptual design of databases (e.g., entityrelationship 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 2016
Instructors: Bettina Kemme (Winter)

COMP 424 Artificial Intelligence (3 credits)
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: Winter 2016
Instructors: Joelle Pineau (Winter)

COMP 512 Distributed Systems (4 credits)
Overview
Computer Science (Sci) : Models and Architectures. Applicationoriented communication paradigms (e.g. remote method invocation, group communication). Naming services. Synchronization (e.g. mutual exclusion, concurrency control). Faulttolerance (e.g. process and replication, agreement protocols). Distributed file systems. Security. Examples of distributed systems (e.g. Web, CORBA). Advanced Topics.
Terms: Fall 2015
Instructors: Bettina Kemme (Fall)

COMP 520 Compiler Design (4 credits)
Overview
Computer Science (Sci) : The structure of a compiler. Lexical analysis. Parsing techniques. Syntax directed translation. Runtime implementation of various programming language constructs. Introduction to code generation for an idealized machine. Students will implement parts of a compiler.
Terms: Winter 2016
Instructors: Laurie Hendren (Winter)

COMP 521 Modern Computer Games (4 credits)
Overview
Computer Science (Sci) : Genre and history of games, basic game design, storytelling and narrative analysis, game engines, design of virtual worlds, realtime 2D graphics, game physics and physical simulation, pathfinding and game AI, content generation, 3D game concerns, multiplayer and distributed games, social issues.
Terms: This course is not scheduled for the 20152016 academic year.
Instructors: There are no professors associated with this course for the 20152016 academic year.

COMP 522 Modelling and Simulation (4 credits)
Overview
Computer Science (Sci) : Simulation and modelling processes, state automata, Petri Nets, state charts, discrete event systems, continuoustime models, hybrid models, system dynamics and objectoriented modelling.
Terms: This course is not scheduled for the 20152016 academic year.
Instructors: There are no professors associated with this course for the 20152016 academic year.

COMP 535 Computer Networks 1 (3 credits)
Overview
Computer Science (Sci) : Exposition of the first four layers of the ISO model for computer network protocols, i.e., the physical, data, network, and transport layers. Basic hardware and software issues with examples drawn from existing networks, notably SNA, DECnet, and ARPAnet.
Terms: Fall 2015
Instructors: Xue Liu (Fall)

COMP 557 Fundamentals of Computer Graphics (3 credits) *
Overview
Computer Science (Sci) : The study of fundamental mathematical, algorithmic and representational issues in computer graphics. The topics to be covered are: overview of graphics process, projective geometry, homogeneous coordinates, projective transformations, quadrics and tensors, linedrawing, surface modelling and object modelling reflectance models and rendering, texture mapping, polyhedral representations, procedural modelling, and animation.
Terms: Fall 2015
Instructors: Paul Kry (Fall)

COMP 558 Fundamentals of Computer Vision (3 credits)
Overview
Computer Science (Sci) : Biological vision, edge detection, projective geometry and camera modelling, shape from shading and texture, stereo vision, optical flow, motion analysis, object representation, object recognition, graph theoretic methods, high level vision, applications.
Terms: This course is not scheduled for the 20152016 academic year.
Instructors: There are no professors associated with this course for the 20152016 academic year.

ECSE 424 HumanComputer Interaction (3 credits)
Overview
Electrical Engineering : The course highlights humancomputer interaction strategies from an engineering perspective. Topics include user interfaces, novel paradigms in humancomputer interaction, affordances, ecological interface design, ubiquitous computing and computersupported cooperative work. Attention will be paid to issues of safety, usability, and performance.
Terms: Fall 2015
Instructors: Jeremy Cooperstock (Fall)

ECSE 532 Computer Graphics (3 credits) *
Overview
Electrical Engineering : Introduction to computer graphics systems and display devices: raster scan, scan conversion, graphical input and interactive techniques  window environments; display files: graphics languages and data structures: 2D transformations; 3D computer graphics, hidden line removal and shading; graphics system design; applications. Laboratory project involving the preparation and running of graphics programs.
Terms: This course is not scheduled for the 20152016 academic year.
Instructors: There are no professors associated with this course for the 20152016 academic year.
(306)
Prerequisite: ECSE 322