Note: This is the 2013–2014 edition of the eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or click here to jump to the newest eCalendar.
Program Requirements
The Major Concentration Software Engineering focuses on the techniques and methodology required to design and develop complex software systems and covers the subject commonly known as "Software Engineering."
MATH 133, MATH 140, and MATH 141 (or their equivalents) must be completed prior to taking courses in this program.
Note: This program does not lead to certification as a Professional Engineer.
Required Courses (30 credits)
* Students who have sufficient knowledge in a programming language do not need to take COMP 202 and can replace it with additional computer science complementary course credits.
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COMP 202 Foundations of Programming (3 credits) *
Overview
Computer Science (Sci) : Introduction to programming in a modern high-level language, modular software design and debugging. Programming concepts are illustrated using a variety of application areas.
Terms: Fall 2013, Winter 2014, Summer 2014
Instructors: Pomerantz, Daniel; Tremblay, Jonathan (Fall) Tremblay, Jonathan; Kemme, Bettina; Ada, Anil (Winter) Ada, Anil (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
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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 2013, Winter 2014
Instructors: Vybihal, Joseph P (Fall) Vybihal, Joseph P (Winter)
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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 2013, Winter 2014
Instructors: Blanchette, Mathieu (Fall) Precup, Doina; Blanchette, Mathieu (Winter)
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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 2013, Winter 2014
Instructors: Panangaden, Prakash; Comanici, Gheorghe (Fall) Langer, Michael (Winter)
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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 2013, Winter 2014
Instructors: Vybihal, Joseph P (Fall) Kry, Paul (Winter)
3 hours
Corequisite: COMP 206.
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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 2013, Winter 2014
Instructors: Pientka, Brigitte (Fall) Panangaden, Prakash (Winter)
3 hours
Prerequisite: COMP 250
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COMP 303 Software Development (3 credits)
Overview
Computer Science (Sci) : Principles, mechanisms, techniques, and tools for object-oriented software development: encapsulation, design patterns, unit testing, etc.
Terms: Fall 2013
Instructors: Robillard, Martin (Fall)
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COMP 421 Database Systems (3 credits)
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 2014
Instructors: Kemme, Bettina (Winter)
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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 2013, Winter 2014
Instructors: Cavendish, William (Fall) Cavendish, William (Winter)
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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 2013
Instructors: Addario-Berry, Dana Louis (Fall)
Complementary Courses (7 credits)
6-7 credits from:
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COMP 322 Introduction to C++ (1 credit)
Overview
Computer Science (Sci) : Basics and advanced features of the C++ language. Syntax, memory management, class structure, method and operator overloading, multiple inheritance, access control, stream I/O, templates, exception handling.
Terms: Winter 2014
Instructors: Comanici, Gheorghe (Winter)
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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 2013
Instructors: Kienzle, Jorg Andreas (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
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COMP 361D2 Software Engineering Project (3 credits)
Overview
Computer Science (Sci) : See COMP 361D1 for course description.
Terms: Winter 2014
Instructors: Kienzle, Jorg Andreas (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
- COMP 529 Software Architecture (4 credits)
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COMP 533 Model-Driven Software Development (3 credits)
Overview
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 2013
Instructors: Kienzle, Jorg Andreas (Fall)
or any computer science course at the 300 level or above, excluding COMP 364, COMP 396, and COMP 400.
Bachelor of Arts & Science—2013-2014 (last updated Aug. 21, 2013) (disclaimer)