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School of Computing Science | Faculty of Applied Sciences Simon Fraser University Calendar | Spring 2022

Computing Science Second Degree Major

Bachelor of Science or Bachelor of Arts

This program provides students who already have a bachelor degree in another discipline a way to obtain a bachelor of science (BSc) or bachelor of arts (BA) degree with a major in computing science.

Admission Requirements

This is a direct admission program and holders of a recognized bachelor's degree in another discipline may follow this program to earn a second degree.

Applicants should indicate their program interest by selecting computing science, Faculty of Applied Sciences BSc major as their first choice.

Admission is competitive and based on the upper division (third and fourth year) performance in the prior bachelor's degree and a program Computing Related GPA (CRGPA). Applicants must have completed the following courses, or courses equivalent to them: MACM 101 and (CMPT 125, 129 or 135). The CRGPA is computed based on all courses equivalent to Simon Fraser University CMPT or MACM courses. Professional experience in a relevant work environment where English was the working language may be taken into account.

Continuation Requirements

Students who do not maintain at least a 2.40 CGPA will be placed on probation within the School. Courses available to probationary students may be limited. Each term, these students must consult an advisor prior to enrollment and must achieve either a term 2.40 term GPA or an improved CGPA. Students who fail to do so may be removed from the program.

Reinstatement from probationary standing occurs when the CGPA improves to 2.40 or better and is maintained.

Graduation Requirements

A GPA of 2.00 must be obtained for upper division courses used to fulfill the program requirements.

Prerequisite Grade Requirement

Computing science course entry requires a grade of C- or better in each prerequisite course.

A minimum 2.40 cumulative grade point average is required for 200, 300 and 400 level courses. For complete information, contact an Applied Sciences Advisor.

Students must obtain permission from the department if they wish to complete, for further credit, any course that is a prerequisite for a course the student has already completed with a grade of C- or higher.

Program Requirements

Students must consult an Applied Sciences Advisor before commencing the program.

Lower Division Requirements

Students will need to apply for course waivers for the lower division prerequisites prior to starting the program. If lower division prerequisites have not been met, required courses may be taken at Simon Fraser University.

Upper Division Requirements

In accord with University regulations, this second degree program consists of the upper division requirements of the program as described below.

Students complete at least 45 upper division units including

CMPT 376W - Technical Writing and Group Dynamics (3)

Covers professional writing in computing science, including format conventions and technical reports. Attention is paid to group dynamics, including team leadership, dispute resolution, cognitive bias, professional ethics and collaborative writing. Research methods are also discussed. The use of LaTeX and various version control tools are emphasized. Prerequisite: CMPT 105W and (CMPT 275 or CMPT 276), with a minimum grade of C-. Students with credit for CMPT 376 may not take this course for further credit. Writing.

Section Instructor Day/Time Location
D100 Jacqueline Nelsen
Mo 10:30 AM – 12:20 PM
We 10:30 AM – 11:20 AM
AQ 3150, Burnaby
AQ 3003, Burnaby
D200 Dan Ridinger
Tu 2:30 PM – 4:20 PM
Fr 2:30 PM – 3:20 PM
SRYE 2016, Surrey
SRYE 2016, Surrey

Breadth Requirement

Five courses from five of the six Table I areas of concentration must be completed including both of

CMPT 300 - Operating Systems I (3)

This course aims to give the student an understanding of what a modern operating system is, and the services it provides. It also discusses some basic issues in operating systems and provides solutions. Topics include multiprogramming, process management, memory management, and file systems. Prerequisite: CMPT 225 and (CMPT 295 or ENSC 254), all with a minimum grade of C-.

Section Instructor Day/Time Location
D100 Hazra Imran
Tu 8:30 AM – 10:20 AM
Fr 8:30 AM – 9:20 AM
SWH 10081, Burnaby
SSCK 9500, Burnaby
E100 Harinder Khangura
We 4:30 PM – 5:20 PM
Fr 4:30 PM – 6:20 PM
SRYE 1002, Surrey
SRYE 1002, Surrey
CMPT 307 - Data Structures and Algorithms (3)

Design and analysis of efficient data structures and algorithms. General techniques for building and analyzing algorithms (greedy, divide & conquer, dynamic programming, network flows). Introduction to NP-completeness. Prerequisite: CMPT 225, MACM 201, (MATH 150 or MATH 151), and (MATH 232 or MATH 240), all with a minimum grade of C-. MATH 154 or MATH 157 with a grade of at least B+ may be substituted for MATH 150 or MATH 151.

Section Instructor Day/Time Location
D100 Brad Bart
We 11:30 AM – 12:20 PM
Fr 10:30 AM – 12:20 PM
RCB IMAGTH, Burnaby
RCB IMAGTH, Burnaby
D200 Brad Bart
We 3:30 PM – 4:20 PM
Fr 2:30 PM – 4:20 PM
SSCK 9500, Burnaby
SSCC 9001, Burnaby

CMPT 354 is also recommended.

Depth Requirement

Twelve units of additional CMPT courses numbered CMPT 400 or above must be completed (excluding CMPT 415, 416 and 498, which may be included by special permission).

BSc Credential

For a BSc computing science degree, the following additional requirements must be met.

two additional courses chosen from Table I, Table II or Table III

MACM 316 - Numerical Analysis I (3)

A presentation of the problems commonly arising in numerical analysis and scientific computing and the basic methods for their solutions. Prerequisite: MATH 152 or 155 or 158, and MATH 232 or 240, and computing experience. Quantitative.

Section Instructor Day/Time Location
D100 Steven Ruuth
Mo, We 12:30 PM – 1:20 PM
Fr 12:30 PM – 1:20 PM
SSCB 9201, Burnaby
SSCC 9001, Burnaby
D101 We 2:30 PM – 3:20 PM
WMC 2830, Burnaby
D102 We 3:30 PM – 4:20 PM
WMC 2830, Burnaby
D103 We 4:30 PM – 5:20 PM
WMC 2830, Burnaby
D104 Th 9:30 AM – 10:20 AM
WMC 2830, Burnaby
D105 Th 10:30 AM – 11:20 AM
WMC 3220, Burnaby
D106 Th 11:30 AM – 12:20 PM
WMC 2830, Burnaby
D107 Th 4:30 PM – 5:20 PM
WMC 3510, Burnaby

BA Credential

For a BA computing science degree within the Faculty of Applied Sciences, the following additional requirements must be met.

one additional CMPT upper division course chosen from Table I or Table II must be completed bringing the total upper division units in CMPT courses to a minimum of 30 units.

a concentration of 15 units in a Faculty of Arts and Social Sciences discipline (department) including at least six units of upper division credit.

Areas of Concentration

The primary upper division requirements are structured according to breadth, depth and credential requirements as listed below.

As part of a major program, students may complete one or more areas of concentrations from the six areas listed in Table I. To complete a concentration, students complete the major requirements, including four courses in the corresponding area as listed in Table I, two of which must be at the 400 division. Courses used to meet the requirements of a concentration may also be used to meet other program requirements.

Table I – Computing Science Concentrations

Artificial Intelligence

CMPT 310 - Artificial Intelligence Survey (3)

Provides a unified discussion of the fundamental approaches to the problems in artificial intelligence. The topics considered are: representational typology and search methods; game playing, heuristic programming; pattern recognition and classification; theorem-proving; question-answering systems; natural language understanding; computer vision. Prerequisite: CMPT 225 and (MACM 101 or (ENSC 251 and ENSC 252)), all with a minimum grade of C-. Students with credit for CMPT 410 may not take this course for further credit.

Section Instructor Day/Time Location
E100 Hang Ma
Mo, We, Fr 4:30 PM – 5:20 PM
SSCK 9500, Burnaby
CMPT 340 - Biomedical Computing (3)

The principles involved in using computers for data acquisition, real-time processing, pattern recognition and experimental control in biology and medicine will be developed. The use of large data bases and simulation will be explored. Prerequisite: Completion of 60 units including one of CMPT 125, 126, 128, 135, with a minimum grade of C- or CMPT 102 with a grade of B or higher.

CMPT 411 - Knowledge Representation (3)

Formal and foundational issues dealing with the representation of knowledge in artificial intelligence systems are covered. Questions of semantics, incompleteness, non-monotonicity and others will be examined. As well, particular approaches, such as procedural or semantic network, may be discussed. Prerequisite: Completion of nine units in Computing Science upper division courses or, in exceptional cases, permission of the instructor.

CMPT 412 - Computational Vision (3)

Computational approaches to image understanding will be discussed in relation to theories about the operation of the human visual system and with respect to practical applications in robotics. Topics will include edge detection, shape from shading, stereopsis, optical flow, Fourier methods, gradient space, three-dimensional object representation and constraint satisfaction. Prerequisite: MATH 152 with a minimum grade of C-, and nine units in Computing upper division courses or permission of the instructor.

CMPT 413 - Computational Linguistics (3)

This course examines the theoretical and applied problems of constructing and modelling systems, which aim to extract and represent the meaning of natural language sentences or of whole discourses, but drawing on contributions from the fields of linguistics, cognitive psychology, artificial intelligence and computing science. Prerequisite: Completion of nine units in Computing Science upper division courses or, in exceptional cases, permission of the instructor.

CMPT 414 - Model-Based Computer Vision (3)

This course covers various topics in computer vision with the emphasis on the model-based approach. Main subjects include 2-D and 3-D representations, matching, constraint relaxation, model-based vision systems. State-of-the-art robot vision systems will be used extensively as study cases. The solid modelling and CAD aspects of this course should also interest students of computer graphics. Prerequisite: MATH 152 with a minimum grade of C- and nine units in CMPT upper division courses, or permission of the instructor.

CMPT 417 - Intelligent Systems (3)

Intelligent Systems using modern constraint programming and heuristic search methods. A survey of this rapidly advancing technology as applied to scheduling, planning, design and configuration. An introduction to constraint programming, heuristic search, constructive (backtrack) search, iterative improvement (local) search, mixed-initiative systems and combinatorial optimization. Prerequisite: CMPT 225 with a minimum grade of C-.

CMPT 419 - Special Topics in Artificial Intelligence (3)

Current topics in artificial intelligence depending on faculty and student interest.

Section Instructor Day/Time Location
D100 Ke Li
We 5:30 PM – 7:20 PM
Fr 5:30 PM – 6:20 PM
SWH 10041, Burnaby
SWH 10041, Burnaby
D200 Angelica Lim
Mo 2:30 PM – 4:20 PM
We 2:30 PM – 3:20 PM
AQ 3153, Burnaby
AQ 3153, Burnaby

Computer Graphics and Multimedia

CMPT 361 - Introduction to Computer Graphics (3)

This course provides an introduction to the fundamentals of computer graphics. Topics include graphics display and interaction hardware, basic algorithms for 2D primitives, anti-aliasing, 2D and 3D geometrical transformations, 3D projections/viewing, Polygonal and hierarchical models, hidden-surface removal, basic rendering techniques (color, shading, raytracing, radiosity), and interaction techniques. Prerequisite: CMPT 225 and MATH 232 or 240, all with a minimum grade of C-.

Section Instructor Day/Time Location
D100 Yagiz Aksoy
Manolis Savva
Mo 2:30 PM – 3:20 PM
Th 2:30 PM – 4:20 PM
REMOTE LEARNING, Burnaby
REMOTE LEARNING, Burnaby
CMPT 363 - User Interface Design (3)

This course provides a comprehensive study of user interface design. Topics include: goals and principles of UI design (systems engineering and human factors), historical perspective, current paradigms (widget-based, mental model, graphic design, ergonomics, metaphor, constructivist/iterative approach, and visual languages) and their evaluation, existing tools and packages (dialogue models, event-based systems, prototyping), future paradigms, and the social impact of UI. Prerequisite: CMPT 225 with a minimum grade of C-.

Section Instructor Day/Time Location
D100 Victor Cheung
Mo 10:30 AM – 11:20 AM
Th 10:30 AM – 12:20 PM
SRYE 3016, Surrey
SRYE 3016, Surrey
D200 Paul Hibbitts
Tu 2:30 PM – 4:20 PM
Fr 2:30 PM – 3:20 PM
REMOTE LEARNING, Burnaby
REMOTE LEARNING, Burnaby
CMPT 365 - Multimedia Systems (3)

Multimedia systems design, multimedia hardware and software, issues in effectively representing, processing, and retrieving multimedia data such as text, graphics, sound and music, image and video. Prerequisite: CMPT 225 with a minimum grade of C-.

Section Instructor Day/Time Location
D100 Jiangchuan Liu
Mo, We, Fr 9:30 AM – 10:20 AM
SSCC 9002, Burnaby
CMPT 461 - Computational Photography and Image Manipulation (3)

Computational Photography is concerned with overcoming the limitations of traditional photography with computation: in optics, sensors, and geometry; and even in composition, style, and human interfaces. The course covers computational techniques to improve the way we process, manipulate, and interact with visual media. The covered topics include image-based lighting and rendering, camera geometry and optics, computational apertures, advanced image filtering operations, high-dynamic range, image blending, texture synthesis and inpainting. Prerequisite: CMPT 361, MACM 201 and 316, all with a minimum grade of C-. Students with credit for CMPT 451 may not take this course for further credit.

Section Instructor Day/Time Location
D100 Yagiz Aksoy
Mo 4:30 PM – 6:20 PM
We 4:30 PM – 5:20 PM
REMOTE LEARNING, Burnaby
REMOTE LEARNING, Burnaby
CMPT 464 - Geometric Modelling in Computer Graphics (3)

Covers advanced topics in geometric modelling and processing for computer graphics, such as Bezier and B-spline techniques, subdivision curves and surfaces, solid modelling, implicit representation, surface reconstruction, multi-resolution modelling, digital geometry processing (e.g. mesh smoothing, compression, and parameterization), point-based representation, and procedural modelling. Prerequisite: CMPT 361, MACM 316, both with a minimum grade of C-. Students with credit for CMPT 469 between 2003 and 2007 or equivalent may not take this course for further credit.

CMPT 466 - Animation (3)

Topics and techniques in animation, including: The history of animation, computers in animation, traditional animation approaches, and computer animation techniques such as geometric modelling, interpolation, camera controls, kinematics, dynamics, constraint-based animation, realistic motion, temporal aliasing, digital effects and post production. Prerequisite: CMPT 361 and MACM 316, with a minimum grade of C- or permission of the instructor.

Section Instructor Day/Time Location
D100 KangKang Yin
Mo 10:30 AM – 11:20 AM
We 10:30 AM – 11:20 AM
Fr 10:30 AM – 11:20 AM
AQ 3159, Burnaby
AQ 3159, Burnaby
AQ 3153, Burnaby
CMPT 467 - Visualization (3)

Presents advanced topics in the field of scientific and information visualization. Topics include an introduction to visualization (importance, basic approaches, and existing tools), abstract visualization concepts, human perception, visualization methodology, data representation, 2D and 3D display, interactive visualization, and their use in medical, scientific, and business applications. Prerequisite: CMPT 361, MACM 316, both with a minimum grade of C-.

CMPT 469 - Special Topics in Computer Graphics (3)

Current topics in computer graphics depending on faculty and student interest. Prerequisite: CMPT 361 with a minimum grade of C-.

Computing Systems

CMPT 300 - Operating Systems I (3)

This course aims to give the student an understanding of what a modern operating system is, and the services it provides. It also discusses some basic issues in operating systems and provides solutions. Topics include multiprogramming, process management, memory management, and file systems. Prerequisite: CMPT 225 and (CMPT 295 or ENSC 254), all with a minimum grade of C-.

Section Instructor Day/Time Location
D100 Hazra Imran
Tu 8:30 AM – 10:20 AM
Fr 8:30 AM – 9:20 AM
SWH 10081, Burnaby
SSCK 9500, Burnaby
E100 Harinder Khangura
We 4:30 PM – 5:20 PM
Fr 4:30 PM – 6:20 PM
SRYE 1002, Surrey
SRYE 1002, Surrey
CMPT 305 - Computer Simulation and Modelling (3)

This course is an introduction to the modelling, analysis, and computer simulation of complex systems. Topics include analytic modelling, discrete event simulation, experimental design, random number generation, and statistical analysis. Prerequisite: CMPT 225, (MACM 101 or (ENSC 251 and ENSC 252)) and STAT 270, all with a minimum grade of C-.

Section Instructor Day/Time Location
D100 Alaa Alameldeen
Tu 10:30 AM – 12:20 PM
Fr 10:30 AM – 11:20 AM
SSCC 9002, Burnaby
EDB 7618, Burnaby
CMPT 371 - Data Communications and Networking (3)

Data communication fundamentals (data types, rates, and transmission media). Network architectures for local and wide areas. Communications protocols suitable for various architectures. ISO protocols and internetworking. Performance analysis under various loadings and channel error rates. Prerequisite: CMPT 225 and (MATH 151 or MATH 150), with a minimum grade of C-. MATH 154 or MATH 157 with a grade of at least B+ may be substituted for MATH 151 (MATH 150).

Section Instructor Day/Time Location
D100 Janice Regan
Mo, We, Fr 12:30 PM – 1:20 PM
SWH 10041, Burnaby
CMPT 379 - Principles of Compiler Design (3)

This course covers the key components of a compiler for a high level programming language. Topics include lexical analysis, parsing, type checking, code generation and optimization. Students will work in teams to design and implement an actual compiler making use of tools such as lex and yacc. Prerequisite: MACM 201, (CMPT 295 or ENSC 215) and CMPT 225, all with a minimum grade of C-.

CMPT 431 - Distributed Systems (3)

An introduction to distributed systems: systems consisting of multiple physical components connected over a network. Architectures of such systems, ranging from client-server to peer-to-peer. Distributed systems are analyzed via case studies of real network file systems, replicated systems, sensor networks and peer-to-peer systems. Hands-on experience designing and implementing a complex distributed system. Prerequisite: CMPT 300, 371, both with a minimum grade of C-. Students with credit for CMPT 401 before September 2008 may not take this course for further credit.

Section Instructor Day/Time Location
E100 Alaa Alameldeen
Tu 4:30 PM – 6:20 PM
Fr 4:30 PM – 5:20 PM
WMC 3260, Burnaby
WMC 3260, Burnaby
CMPT 433 - Embedded Systems (3)

The basics of embedded system organization, hardware-software co-design, and programmable chip technologies are studied. Formal models and specification languages for capturing and analyzing the behavior of embedded systems. The design and use of tools for system partitioning and hardware/software co-design implementation, validation, and verification are also studied. Prerequisite: CMPT 295 and CMPT 300, with a minimum grade of C-.

Section Instructor Day/Time Location
D100 Brian Fraser
Mo, We, Fr 12:30 PM – 1:20 PM
SRYE 3016, Surrey
CMPT 471 - Networking II (3)

This course covers the fundamentals of higher level network functionality such as remote procedure/object calls, name/address resolution, network file systems, network security and high speed connectivity/bridging/switching. Prerequisite: CMPT 300 and 371, with a minimum grade of C-.

CMPT 479 - Special Topics in Computing Systems (3)

Current topics in computing systems depending on faculty and student interest. Prerequisite: CMPT 300 with a minimum grade of C-.

CMPT 499 - Special Topics in Computer Hardware (3)

Current topics in computer hardware depending on faculty and student interest. Prerequisite: CMPT 250 or ENSC 250, with a minimum grade of C-.

Information Systems

CMPT 353 - Computational Data Science (3)

Basic concepts and programming tools for handling and processing data. Includes data acquisition, cleaning data sources, application of machine learning techniques and data analysis techniques, large-scale computation on a computing cluster. Prerequisite: CMPT 225 and (STAT 101, STAT 270, ENSC 280, or MSE 210), with a minimum grade of C-.

Section Instructor Day/Time Location
D100 Steven Bergner
Mo 10:30 AM – 12:20 PM
We 10:30 AM – 11:20 AM
SRYE 1002, Surrey
SRYE 1002, Surrey
CMPT 354 - Database Systems I (3)

Logical representations of data records. Data models. Studies of some popular file and database systems. Document retrieval. Other related issues such as database administration, data dictionary and security. Prerequisite: CMPT 225 and (MACM 101 or (ENSC 251 and ENSC 252)), all with a minimum grade of C-.

Section Instructor Day/Time Location
D100 Jiannan Wang
Mo 10:30 AM – 12:20 PM
We 10:30 AM – 11:20 AM
SWH 10041, Burnaby
EDB 7618, Burnaby
CMPT 441 - Computational Biology (3)

This course introduces students to the computing science principles underlying computational biology. The emphasis is on the design, analysis and implementation of computational techniques. Possible topics include algorithms for sequence alignment, database searching, gene finding, phylogeny and structure analysis. Prerequisite: CMPT 307 with a minimum grade of C-. Students with credit for CMPT 341 may not take this course for further credit.

CMPT 454 - Database Systems II (3)

An advanced course on database systems which covers crash recovery, concurrency control, transaction processing, distributed database systems as the core material and a set of selected topics based on the new developments and research interests, such as object-oriented data models and systems, extended relational systems, deductive database systems, and security and integrity. Prerequisite: CMPT 300 and 354, with a minimum grade of C-.

Section Instructor Day/Time Location
D100 Ke Wang
Mo 12:30 PM – 2:20 PM
We 12:30 PM – 1:20 PM
SSCK 9500, Burnaby
SSCK 9500, Burnaby
CMPT 456 - Information Retrieval and Web Search (3)

Introduction to the essentials of information retrieval and the applications of information retrieval in web search and web information systems. Topics include the major models of information retrieval, similarity search, text content search, link structures and web graphics, web mining and applications, crawling, search engines, and some advanced topics such as spam detection, online advertisement, and fraud detection in online auctions. Prerequisite: CMPT 354 with a minimum grade of C-.

CMPT 459 - Special Topics in Database Systems (3)

Current topics in database and information systems depending on faculty and student interest. Prerequisite: CMPT 354 with a minimum grade of C-.

Section Instructor Day/Time Location
D100 Martin Ester
Tu 10:30 AM – 12:20 PM
Fr 10:30 AM – 11:20 AM
SSCK 9500, Burnaby
SWH 10041, Burnaby
D200 Keval Vora
Fr 2:30 PM – 5:20 PM
SWH 10041, Burnaby
CMPT 470 - Web-based Information Systems (3)

This course examines: two-tier/multi-tier client/server architectures; the architecture of a Web-based information system; web servers/browser; programming/scripting tools for clients and servers; database access; transport of programming objects; messaging systems; security; and applications (such as e-commerce and on-line learning). Prerequisite: (CMPT 275 or CMPT 276) and CMPT 354, with a minimum grade of C-.

CMPT 474 - Web Systems Architecture (3)

Web service based systems are fundamentally different from traditional software systems. The conceptual and methodological differences between a standard software development process and the development of a web service based information system. The technology involved during the construction of their own web service based application in an extensive project. Prerequisite: CMPT 371 with a minimum grade of C-.

Programming Languages and Software

CMPT 373 - Software Development Methods (3)

Survey of modern software development methodology. Several software development process models will be examined, as will the general principles behind such models. Provides experience with different programming paradigms and their advantages and disadvantages during software development. Prerequisite: CMPT 276 or 275, with a minimum grade of C-.

CMPT 383 - Comparative Programming Languages (3)

Various concepts and principles underlying the design and use of modern programming languages are considered in the context of procedural, object-oriented, functional and logic programming languages. Topics include data and control structuring constructs, facilities for modularity and data abstraction, polymorphism, syntax, and formal semantics. Prerequisite: CMPT 225 and (MACM 101 or (ENSC 251 and ENSC 252)), all with a minimum grade of C-.

Section Instructor Day/Time Location
D100 Yuepeng Wang
Tu 12:30 PM – 2:20 PM
Fr 12:30 PM – 1:20 PM
SSCK 9500, Burnaby
SSCK 9500, Burnaby
CMPT 384 - Symbolic Computing (3)

This course considers modelling and programming techniques appropriate for symbolic data domains such as mathematical expressions, logical formulas, grammars and programming languages. Topics include recursive and functional programming style, grammar-based data abstraction, simplification and reduction transformations, conversions to canonical form, environment data structures and interpreters, metaprogramming, pattern matching and theorem proving. Prerequisite: CMPT 225 and (MACM 101 or (ENSC 251 and ENSC 252)), all with a minimum grade of C-.

CMPT 473 - Software Testing, Reliability and Security (3)

Methods for software quality assurance focusing on reliability and security. Test coverage and test data adequacy including combinatorial testing. MC/DC testing, and mutation testing. Security engineering techniques for vulnerability discovery and mitigation including fuzz testing. Testing techniques will be applied to the assessment of external open source software. Prerequisite: (CMPT 275 or CMPT 276) with a minimum grade of C- and 15 upper division CMPT units.

Section Instructor Day/Time Location
D100 Steven Ko
Th 11:30 AM – 2:20 PM
BLU 9660, Burnaby
CMPT 475 - Requirements Engineering (3)

Software succeeds when it is well-matched to its intended purpose. Requirements engineering is the process of discovering that purpose by making requirements explicit and documenting them in a form amenable to analysis, reasoning, and validation, establishing the key attributes of a system prior to its construction. Students will learn methodical approaches to requirements analysis and design specification in early systems development phases, along with best practices and common principles to cope with notoriously changing requirements. Prerequisite: CMPT 275 or 276, MACM 201, all with a minimum grade of C- and 15 units of upper division courses. Recommended: Co-op experience.

Section Instructor Day/Time Location
D100 Shervin Shirmohammadi
Tu 8:30 AM – 10:20 AM
Fr 8:30 AM – 9:20 AM
REMOTE LEARNING, Burnaby
REMOTE LEARNING, Burnaby
CMPT 477 - Introduction to Formal Verification (3)

Introduces, at an accessible level, a formal framework for symbolic model checking, one of the most important verification methods. The techniques are illustrated with examples of verification of reactive systems and communication protocols. Students learn to work with a model checking tool. Prerequisite: CMPT 275 or 276, with a minimum grade of C-.

CMPT 489 - Special Topics in Programming Languages (3)

Current topics in programming languages depending on faculty and student interest. Prerequisite: CMPT 383 with a minimum grade of C-.

Theoretical Computing Science

CMPT 307 - Data Structures and Algorithms (3)

Design and analysis of efficient data structures and algorithms. General techniques for building and analyzing algorithms (greedy, divide & conquer, dynamic programming, network flows). Introduction to NP-completeness. Prerequisite: CMPT 225, MACM 201, (MATH 150 or MATH 151), and (MATH 232 or MATH 240), all with a minimum grade of C-. MATH 154 or MATH 157 with a grade of at least B+ may be substituted for MATH 150 or MATH 151.

Section Instructor Day/Time Location
D100 Brad Bart
We 11:30 AM – 12:20 PM
Fr 10:30 AM – 12:20 PM
RCB IMAGTH, Burnaby
RCB IMAGTH, Burnaby
D200 Brad Bart
We 3:30 PM – 4:20 PM
Fr 2:30 PM – 4:20 PM
SSCK 9500, Burnaby
SSCC 9001, Burnaby
CMPT 308 - Computability and Complexity (3)

Formal models of computation such as automata and Turing machines. Decidability and undecidability. Recursion Theorem. Connections between computability and logic (Gödel’s Incompleteness). Time and space complexity classes. NP-completeness. Prerequisite: MACM 201 with a minimum grade of C-.

CMPT 404 - Cryptography and Cryptographic Protocols (3)

The main cryptographic tools and primitives, their use in cryptographic applications; security and weaknesses of the current protocols. The notion of security, standard encryption schemes, digital signatures, zero-knowledge, selected other topics. Prerequisite: MACM 201 with a minimum grade of C-. CMPT 307 and 308 are recommended.

CMPT 405 - Design and Analysis of Computing Algorithms (3)

Models of computation, methods of algorithm design; complexity of algorithms; algorithms on graphs, NP-completeness, approximation algorithms, selected topics. Prerequisite: CMPT 307 with a minimum grade of C-.

Section Instructor Day/Time Location
D100 Igor Shinkar
Mo 12:30 PM – 2:20 PM
We 12:30 PM – 1:20 PM
AQ 3159, Burnaby
AQ 3159, Burnaby
CMPT 407 - Computational Complexity (3)

Study of what is, and is not, efficiently computable with limited resources (time, space, randomness, parallelism, nondeterminism, interaction, and quantum). Complexity classes and connections among them. Interplay between complexity and algorithm design. Prerequisite: CMPT 307 with a minimum grade of C-. CMPT 308 is recommended.

CMPT 409 - Special Topics in Theoretical Computing Science (3)

Current topics in theoretical computing science depending on faculty and student interest. Prerequisite: CMPT 307 with a minimum grade of C-.

MACM 300 - Introduction to Formal Languages and Automata with Applications (3)

Languages, grammars, automata and their applications to natural and formal language processing. Prerequisite: MACM 201. Quantitative.

Table II – Application Courses

Currently no courses.

Table III – Computing Mathematics Courses

MACM 316 - Numerical Analysis I (3)

A presentation of the problems commonly arising in numerical analysis and scientific computing and the basic methods for their solutions. Prerequisite: MATH 152 or 155 or 158, and MATH 232 or 240, and computing experience. Quantitative.

Section Instructor Day/Time Location
D100 Steven Ruuth
Mo, We 12:30 PM – 1:20 PM
Fr 12:30 PM – 1:20 PM
SSCB 9201, Burnaby
SSCC 9001, Burnaby
D101 We 2:30 PM – 3:20 PM
WMC 2830, Burnaby
D102 We 3:30 PM – 4:20 PM
WMC 2830, Burnaby
D103 We 4:30 PM – 5:20 PM
WMC 2830, Burnaby
D104 Th 9:30 AM – 10:20 AM
WMC 2830, Burnaby
D105 Th 10:30 AM – 11:20 AM
WMC 3220, Burnaby
D106 Th 11:30 AM – 12:20 PM
WMC 2830, Burnaby
D107 Th 4:30 PM – 5:20 PM
WMC 3510, Burnaby
MACM 401 - Introduction to Computer Algebra (3)

Data structures and algorithms for mathematical objects. Topics include long integer arithmetic, computing polynomial greatest common divisors, the fast Fourier transform, Hensel's lemma and p-adic methods, differentiation and simplification of formulae, and polynomial factorization. Students will use a computer algebra system such as Maple for calculations and programming. Prerequisite: CMPT 307 or ((MATH 340 or MATH 342) and (CMPT 225 or MACM 204)). Quantitative.

MACM 442 - Cryptography (3)

An introduction to the subject of modern cryptography. Classical methods for cryptography and how to break them, the data encryption standard (DES), the advanced encryption standard (AES), the RSA and ElGammal public key cryptosystems, digital signatures, secure hash functions and pseudo-random number generation. Algorithms for computing with long integers including the use of probabilistic algorithms. Prerequisite: (CMPT 201 or 225) and one of (MATH 340 or 332 or 342); or CMPT 405. Students with credit for MACM 498 between Fall 2003 and Spring 2006 may not take this course for further credit. Quantitative.

MATH 308 - Linear Optimization (3)

Linear programming modelling. The simplex method and its variants. Duality theory. Post-optimality analysis. Applications and software. Additional topics may include: game theory, network simplex algorithm, and convex sets. Prerequisite: MATH 150, 151, 154, or 157 and MATH 240 or 232, all with a minimum grade of C-. Quantitative.

Section Instructor Day/Time Location
D100 Luis Goddyn
Mo, We, Fr 2:30 PM – 3:20 PM
AQ 3150, Burnaby
D101 Tu 2:30 PM – 3:20 PM
WMC 2830, Burnaby
D102 Tu 3:30 PM – 4:20 PM
WMC 2830, Burnaby
D103 Tu 4:30 PM – 5:20 PM
WMC 2830, Burnaby
MATH 340 - Algebra II: Rings and Fields (3)

The integers, fundamental theorem of arithmetic. Equivalence relations, modular arithmetic. Univariate polynomials, unique factorization. Rings and fields. Units, zero divisors, integral domains. Ideals, ring homomorphisms. Quotient rings, the ring isomorphism theorem. Chinese remainder theorem. Euclidean, principal ideal, and unique factorization domains. Field extensions, minimal polynomials. Classification of finite fields. Prerequisite: MATH 240 with a minimum grade of C- or MATH 232 with a grade of at least B. Students with credit for MATH 332 may not take this course for further credit. Quantitative.

MATH 343 - Applied Discrete Mathematics (3)

Structures and algorithms, generating elementary combinatorial objects, counting (integer partitions, set partitions, Catalan families), backtracking algorithms, branch and bound, heuristic search algorithms. Prerequisite: MACM 201 (with a grade of at least B-). Recommended: knowledge of a programming language. Quantitative.

Other Courses Per Department Approval

The following courses may be counted in one of the above tables with permission of the school.

CMPT 318 - Special Topics in Computing Science (3)

Special topics in computing science at the 300 level. Topics that are of current interest or are not covered in regular curriculum will be offered from time to time depending on availability of faculty and student interest. Prerequisite: CMPT 225 with a minimum grade of C-. Additional prerequisites to be determined by the instructor subject to approval by the undergraduate program chair.

Section Instructor Day/Time Location
D100 Uwe Glaesser
Tu 2:30 PM – 4:20 PM
Fr 2:30 PM – 3:20 PM
BLU 9660, Burnaby
EDB 7618, Burnaby
CMPT 415 - Special Research Projects (3)

To be individually arranged. Prerequisite: Permission of Instructor and School.

Section Instructor Day/Time Location
D100 John Edgar
TBD
CMPT 416 - Special Research Projects (3)

To be individually arranged. Prerequisite: Permission of the department.

Section Instructor Day/Time Location
D100 John Edgar
TBD
CMPT 496 - Directed Studies (3)

Independent study in topics selected in consultation with the supervising instructor(s) that are not covered by existing course offerings. Students must submit a proposal to the undergraduate chair, including the name and signature of the supervising faculty member(s). The proposal must include details of the material to be covered and the work to be submitted. Prerequisite: Students must have completed 90 units, including 15 units of upper division CMPT courses, and have a GPA of at least 3.00. The proposal must be submitted to the undergraduate chair at least 15 days in advance of the term. The proposal must be signed by the supervisor(s) and the undergraduate chair.

CMPT 497 - Dual Degree Program Capstone Project (6)

Students will select one project to be completed in their final year of study. Each student must complete a project report and make a project presentation. The project may include: a research survey, a project implementation, a research paper/report. Prerequisite: Submission of a satisfactory capstone project proposal.

Section Instructor Day/Time Location
D100 TBD
CMPT 498 - Honours Research Project (6)

Students must submit a proposal to the Undergraduate Chair, including the name and signature of the supervising faculty member(s). Students must complete a project report and make a project presentation. This course can satisfy the research project requirements for Computing Science honours students. Prerequisite: Students must have completed 90 units, including 15 units of upper division CMPT courses, and have a GPA of at least 3.00. The proposal must be submitted to the Undergraduate Chair at least 15 days in advance of the term. The proposal must be signed by the supervisor(s) and the undergraduate chair.

Section Instructor Day/Time Location
D100 Steve Pearce
TBD
D200 Mo Chen
TBD
D300 TBD

Residency Requirements and Transfer Credit

  • At least half of the program's total units must be earned through Simon Fraser University study.
  • At least two thirds of the program's total upper division units must be earned through Simon Fraser University study.

Please see Faculty of Applied Sciences Residency Requirements for further information.

Elective Courses

In addition to the courses listed above, students should consult an academic advisor to plan the remaining required elective courses.

Co-operative Education and Work Experience

All computing science students are strongly encouraged to explore the opportunities that Work Integrated Learning (WIL) can offer them. Please contact a computing science co-op advisor during your first year of studies to ensure that you have all of the necessary courses and information to help plan for a successful co-op experience.