Please note:

To view the Fall 2021 Academic Calendar, go to www.sfu.ca/students/calendar/2021/fall.html.

Computing Science and Linguistics Joint Major

Bachelor of Arts or Bachelor of Science

The School of Computing Science and the Department of Linguistics offer this joint major in the area of computational linguistics. Contact advisors in both departments for permission to enroll. Student enrollment, appeals and graduation processing are administered by the School of Computing Science.

In general, students are expected to meet the requirements of both the department and school with respect to admission and continuation requirements.

Admission Requirements

Linguistics Admission Requirements

An overall 2.40 cumulative GPA and a passing grade in LING 220 are required for admission to the major, all joint major programs and all minor programs.

Computing Science Admission Requirements

Entry into computing science programs is possible via

  • direct admission from high school
  • direct transfer from a recognized post secondary institution, or combined transfer units from more than one post secondary institution
  • internal transfer from within Simon Fraser University

Admission is competitive. A separate admission average for each entry route is established each term, depending on spaces available and subject to the approval of the dean of applied sciences. Admission averages are calculated over a set of courses satisfying particular breadth constraints.

Internal Transfer

Internal transfer allows students to transfer, within Simon Fraser University, from one faculty to another.

Simon Fraser University students applying for School of Computing Science admission are selected on the basis of an admission Computing Related Grade Point Average (CRGPA) and Cumulative Grade Point Average (CGPA). The CRGPA is computed from all courses the student has taken from the following: (CMPT 120, 128 or 130), (CMPT 125, 129 or 135), CMPT 225, (CMPT 275 or 276), CMPT 295, CMPT 300, CMPT 307, MACM 101, MACM 201, MACM 316. Applicants must have completed at least one MACM course and at least two CMPT courses from this list before applying. At least two courses used in the CRGPA calculation must have been taken at SFU.

No course may be included in the average if it is a duplicate of any previous course completed at Simon Fraser University or elsewhere.

The average for admission based on internal transfer is competitive and the school sets competitive averages each term.

The CRGPA minimum average is 2.67 and the CGPA minimum average is 2.40 - the competitive averages will never be below these minima.

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 2.0 GPA must be obtained for the upper division courses used to fulfil 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 CGPA is required for 200, 300 and 400 division computing courses. For complete information, contact an Applied Sciences Advisor.

Program Requirements

Lower Division Requirements

Students complete at least 48 units, including one of

MATH 150 - Calculus I with Review (4)

Designed for students specializing in mathematics, physics, chemistry, computing science and engineering. Topics as for Math 151 with a more extensive review of functions, their properties and their graphs. Recommended for students with no previous knowledge of Calculus. In addition to regularly scheduled lectures, students enrolled in this course are encouraged to come for assistance to the Calculus Workshop (Burnaby), or Math Open Lab (Surrey). Prerequisite: Pre-Calculus 12 (or equivalent) with a grade of at least B+, or MATH 100 with a grade of at least B-, or achieving a satisfactory grade on the Simon Fraser University Calculus Readiness Test. Students with credit for either MATH 151, 154 or 157 may not take MATH 150 for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Mahsa Faizrahnemoon
Mo, Tu, We, Fr 8:30 AM – 9:20 AM
AQ 3182, Burnaby
D200 Natalia Kouzniak
Mo, We, Fr 11:30 AM – 12:20 PM
We 1:30 PM – 2:20 PM
SRYC 3170, Surrey
SRYC 3170, Surrey
OP01 TBD
OP02 TBD
MATH 151 - Calculus I (3)

Designed for students specializing in mathematics, physics, chemistry, computing science and engineering. Logarithmic and exponential functions, trigonometric functions, inverse functions. Limits, continuity, and derivatives. Techniques of differentiation, including logarithmic and implicit differentiation. The Mean Value Theorem. Applications of differentiation including extrema, curve sketching, Newton's method. Introduction to modeling with differential equations. Polar coordinates, parametric curves. Prerequisite: Pre-Calculus 12 (or equivalent) with a grade of at least A, or MATH 100 with a grade of at least B, or achieving a satisfactory grade on the Simon Fraser University Calculus Readiness Test. Students with credit for either MATH 150, 154 or 157 may not take MATH 151 for further credit. Quantitative.

MATH 154 - Calculus I for the Biological Sciences (3) **

Designed for students specializing in the biological and medical sciences. Topics include: limits, growth rate and the derivative; elementary functions, optimization and approximation methods, and their applications; mathematical models of biological processes. Prerequisite: Pre-Calculus 12 (or equivalent) with a grade of at least B, or MATH 100 with a grade of at least C, or achieving a satisfactory grade on the Simon Fraser University Calculus Readiness Test. Students with credit for either MATH 150, 151 or 157 may not take MATH 154 for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Luis Goddyn
Mo, We, Fr 8:30 AM – 9:20 AM
SSCB 9200, Burnaby
OP01 TBD
MATH 157 - Calculus I for the Social Sciences (3) **

Designed for students specializing in business or the social sciences. Topics include: limits, growth rate and the derivative; logarithmic, exponential and trigonometric functions and their application to business, economics, optimization and approximation methods; introduction to functions of several variables with emphasis on partial derivatives and extrema. Prerequisite: Pre-Calculus 12 (or equivalent) with a grade of at least B, or MATH 100 with a grade of at least C, or achieving a satisfactory grade on the Simon Fraser University Calculus Readiness Test. Students with credit for either MATH 150, 151 or 154 may not take MATH 157 for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Stephen Choi
Mo, We, Fr 11:30 AM – 12:20 PM
SSCB 9201, Burnaby
D200 Sarah Nataj
Mo, We, Fr 12:30 PM – 1:20 PM
SRYC 3090, Surrey
OP01 TBD
OP02 TBD

and one of

MATH 152 - Calculus II (3)

Riemann sum, Fundamental Theorem of Calculus, definite, indefinite and improper integrals, approximate integration, integration techniques, applications of integration. First-order separable differential equations and growth models. Sequences and series, series tests, power series, convergence and applications of power series. Prerequisite: MATH 150 or 151, with a minimum grade of C-; or MATH 154 or 157 with a grade of at least B. Students with credit for MATH 155 or 158 may not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Nils Bruin
Mo, We, Fr 8:30 AM – 9:20 AM
SSCC 9001, Burnaby
D200 Randall Pyke
Mo, We, Fr 11:30 AM – 12:20 PM
SRYC 5280, Surrey
OP01 TBD
OP02 TBD
OP03 TBD
MATH 155 - Calculus II for the Biological Sciences (3) **

Designed for students specializing in the biological and medical sciences. Topics include: the integral, partial derivatives, differential equations, linear systems, and their applications; mathematical models of biological processes. Prerequisite: MATH 150, 151 or 154, with a minimum grade of C-; or MATH 157 with a grade of at least B. Students with credit for MATH 152 or 158 may not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Jamie Mulholland
Mo, We, Fr 8:30 AM – 9:20 AM
RCB IMAGTH, Burnaby
D200 JF Williams
Mo, We, Fr 9:30 AM – 10:20 AM
SRYC 5280, Surrey
OP01 TBD
OP02 TBD
MATH 158 - Calculus II for the Social Sciences (3) **

Designed for students specializing in business or the social sciences. Topics include: theory of integration, integration techniques, applications of integration; functions of several variables with emphasis on double and triple integrals and their applications; introduction to differential equations with emphasis on some special first-order equations and their applications; sequences and series. Prerequisite: MATH 150 or 151 or 154 or 157, with a minimum grade of C-. Students with credit for MATH 152 or 155 may not take MATH 158 for further credit. Quantitative.

Section Instructor Day/Time Location
E100 Razvan Fetecau
Mo 4:30 PM – 5:20 PM
We 4:30 PM – 6:20 PM
SWH 10081, Burnaby
SSCC 9001, Burnaby
OP01 TBD

and one of

MATH 232 - Applied Linear Algebra (3)

Linear equations, matrices, determinants. Introduction to vector spaces and linear transformations and bases. Complex numbers. Eigenvalues and eigenvectors; diagonalization. Inner products and orthogonality; least squares problems. An emphasis on applications involving matrix and vector calculations. Prerequisite: MATH 150 or 151 or MACM 101, with a minimum grade of C-; or MATH 154 or 157, both with a grade of at least B. Students with credit for MATH 240 may not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Brenda Davison
Mo, We, Fr 11:30 AM – 12:20 PM
SSCC 9001, Burnaby
D200 Randall Pyke
Mo, We, Fr 2:30 PM – 3:20 PM
SRYC 5280, Surrey
OP01 TBD
OP02 TBD
MATH 240 - Algebra I: Linear Algebra (3)

Linear equations, matrices, determinants. Real and abstract vector spaces, subspaces and linear transformations; basis and change of basis. Complex numbers. Eigenvalues and eigenvectors; diagonalization. Inner products and orthogonality; least squares problems. Applications. Subject is presented with an abstract emphasis and includes proofs of the basic theorems. Prerequisite: MATH 150 or 151 or MACM 101, with a minimum grade of C-; or MATH 154 or 157, both with a grade of at least B. Students with credit for MATH 232 cannot take this course for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Jake Levinson
Mo, We, Fr 11:30 AM – 12:20 PM
AQ 3149, Burnaby
OL01 TBD

and one of

BUS 232 - Data and Decisions I (4)

An introduction to business statistics with a heavy emphasis on applications and the use of EXCEL. Students will be required to use statistical applications to solve business problems. Prerequisite: MATH 150, MATH 151, MATH 154, or MATH 157, with a minimum grade of C-; 15 units. MATH 150, MATH 151, MATH 154, or MATH 157 may be taken concurrently with BUS 232. Students with credit for BUEC 232 or ECON 233 may not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
D200 Andrew Flostrand
Tu, Th 8:30 AM – 10:20 AM
SRYC 5140, Surrey
E100 Mohammad Ghotboddini
Tu 6:00 PM – 9:50 PM
RCB IMAGTH, Burnaby
E200 Mohammad Ghotboddini
Th 6:00 PM – 9:50 PM
WMC 3520, Burnaby
OP06 We 4:30 PM – 8:20 PM
WMC 2301, Burnaby
STAT 270 - Introduction to Probability and Statistics (3)

Basic laws of probability, sample distributions. Introduction to statistical inference and applications. Prerequisite: or Corequisite: MATH 152 or 155 or 158, with a minimum grade of C-. Students wishing an intuitive appreciation of a broad range of statistical strategies may wish to take STAT 100 first. Quantitative.

Section Instructor Day/Time Location
D100 Derek Bingham
Mo, We, Fr 9:30 AM – 10:20 AM
WMC 3520, Burnaby
D900 Wei Lin
Mo 2:30 PM – 4:20 PM
We 2:30 PM – 3:20 PM
SRYC 3310, Surrey
SRYC 3310, Surrey
OL01 Tim Swartz
TBD
OP01 TBD
OP09 TBD

and one of

COGS 100 - Exploring the Mind (3)

This course provides a basic integrative overview of how cognitive science aspires to integrate the empirical findings, theories, and methods of psychology, neuroscience, linguistics, computing science and philosophy. Prerequisite: Open to all students. Students with credit for COGS 200 may not take COGS 100 for further credit. Breadth-Hum/Social Sci/Science.

Section Instructor Day/Time Location
D100 Endre Begby
We 1:30 PM – 2:20 PM
Fr 12:30 PM – 2:20 PM
AQ 3149, Burnaby
AQ 3159, Burnaby
D900 Jeremy Turner
Mo 2:30 PM – 4:20 PM
We 2:30 PM – 3:20 PM
SRYC 3090, Surrey
SRYC 3090, Surrey

or one course chosen from the social sciences electives list in the computing science major program's lower division requirements

** with a grade of at least B+, and with school permission

Computing Science Requirements

Students complete at least 21 units, including either both of

CMPT 120 - Introduction to Computing Science and Programming I (3)

An elementary introduction to computing science and computer programming, suitable for students with little or no programming background. Students will learn fundamental concepts and terminology of computing science, acquire elementary skills for programming in a high-level language, e.g. Python. The students will be exposed to diverse fields within, and applications of computing science. Topics will include: pseudocode; data types and control structures; fundamental algorithms; recursion; reading and writing files; measuring performance of algorithms; debugging tools; basic terminal navigation using shell commands. Treatment is informal and programming is presented as a problem-solving tool. Prerequisite: BC Math 12 or equivalent is recommended. Students with credit for CMPT 102, 128, 130 or 166 may not take this course for further credit. Students who have taken CMPT 125, 129, 130 or 135 first may not then take this course for further credit. Quantitative/Breadth-Science.

Section Instructor Day/Time Location
D100 Diana Cukierman
Mo, We 8:30 AM – 9:20 AM
Fr 8:30 AM – 9:20 AM
SWH 10081, Burnaby
SSCB 9201, Burnaby
D200 Diana Cukierman
Mo, We, Fr 1:30 PM – 2:20 PM
WMC 3520, Burnaby
D400 John Edgar
Mo, We, Fr 8:30 AM – 9:20 AM
SRYE 1002, Surrey
D401 John Edgar
Mo 9:30 AM – 10:20 AM
SRYE 4013, Surrey
D402 John Edgar
Mo 9:30 AM – 10:20 AM
SRYE 4024, Surrey
D403 John Edgar
Mo 10:30 AM – 11:20 AM
SRYE 4013, Surrey
D404 John Edgar
Mo 10:30 AM – 11:20 AM
SRYE 4024, Surrey
D405 John Edgar
Mo 1:30 PM – 2:20 PM
SRYE 4013, Surrey
D406 John Edgar
Mo 1:30 PM – 2:20 PM
SRYE 4024, Surrey
D407 John Edgar
Mo 12:30 PM – 1:20 PM
SRYE 4013, Surrey
D408 John Edgar
Mo 12:30 PM – 1:20 PM
SRYE 4024, Surrey
CMPT 125 - Introduction to Computing Science and Programming II (3)

A rigorous introduction to computing science and computer programming, suitable for students who already have some background in computing science and programming. Intended for students who will major in computing science or a related program. Topics include: memory management; fundamental algorithms; formally analyzing the running time of algorithms; abstract data types and elementary data structures; object-oriented programming and software design; specification and program correctness; reading and writing files; debugging tools; shell commands. Prerequisite: CMPT 120 or CMPT 130, with a minimum grade of C-. Students with credit for CMPT 126, 129, 135 or CMPT 200 or higher may not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Victor Cheung
We 1:30 PM – 2:20 PM
Fr 12:30 PM – 2:20 PM
AQ 3182, Burnaby
SSCB 9201, Burnaby
D101 Victor Cheung
Th 9:30 AM – 10:20 AM
ASB 9898, Burnaby
D102 Victor Cheung
Th 9:30 AM – 10:20 AM
ASB 9898, Burnaby
D103 Victor Cheung
Th 10:30 AM – 11:20 AM
ASB 9898, Burnaby
D104 Victor Cheung
Th 10:30 AM – 11:20 AM
ASB 9898, Burnaby
D105 Victor Cheung
Th 11:30 AM – 12:20 PM
ASB 9898, Burnaby
D106 Victor Cheung
Th 11:30 AM – 12:20 PM
ASB 9898, Burnaby
D107 Victor Cheung
Th 12:30 PM – 1:20 PM
ASB 9898, Burnaby
D108 Victor Cheung
Th 12:30 PM – 1:20 PM
ASB 9898, Burnaby
D200 Igor Shinkar
Mo 4:30 PM – 6:20 PM
We 5:30 PM – 6:20 PM
SSCC 9001, Burnaby
SSCB 9201, Burnaby
D201 Igor Shinkar
Tu 9:30 AM – 10:20 AM
ASB 9898, Burnaby
D202 Igor Shinkar
Tu 9:30 AM – 10:20 AM
ASB 9898, Burnaby
D203 Igor Shinkar
Tu 10:30 AM – 11:20 AM
ASB 9898, Burnaby
D204 Igor Shinkar
Tu 10:30 AM – 11:20 AM
ASB 9898, Burnaby
D205 Igor Shinkar
Tu 11:30 AM – 12:20 PM
ASB 9898, Burnaby
D206 Igor Shinkar
Tu 11:30 AM – 12:20 PM
ASB 9898, Burnaby
D207 Igor Shinkar
Tu 12:30 PM – 1:20 PM
ASB 9898, Burnaby
D208 Igor Shinkar
Tu 12:30 PM – 1:20 PM
ASB 9898, Burnaby

or both of

CMPT 130 - Introduction to Computer Programming I (3)

An introduction to computing science and computer programming, using a systems oriented language, such as C or C++. This course introduces basic computing science concepts. Topics will include: elementary data types, control structures, functions, arrays and strings, fundamental algorithms, computer organization and memory management. Prerequisite: BC Math 12 (or equivalent, or any of MATH 100, 150, 151, 154, or 157, with a minimum grade of C-). Students with credit for CMPT 102, 120, 128 or 166 may not take this course for further credit. Students who have taken CMPT 125, 129 or 135 first may not then take this course for further credit. Quantitative/Breadth-Science.

Section Instructor Day/Time Location
D100 Brian Fraser
Mo, We, Fr 9:30 AM – 10:20 AM
SRYE 1002, Surrey
D101 Brian Fraser
Th 10:30 AM – 11:20 AM
SRYE 4013, Surrey
D102 Brian Fraser
Th 10:30 AM – 11:20 AM
SRYE 4024, Surrey
D103 Brian Fraser
Th 11:30 AM – 12:20 PM
SRYE 4013, Surrey
D104 Brian Fraser
Th 11:30 AM – 12:20 PM
SRYE 4024, Surrey
D105 Brian Fraser
Th 12:30 PM – 1:20 PM
SRYE 4013, Surrey
D106 Brian Fraser
Th 12:30 PM – 1:20 PM
SRYE 4024, Surrey
D107 Brian Fraser
Th 1:30 PM – 2:20 PM
SRYE 4013, Surrey
D108 Brian Fraser
Th 1:30 PM – 2:20 PM
SRYE 4024, Surrey
CMPT 135 - Introduction to Computer Programming II (3)

A second course in systems-oriented programming and computing science that builds upon the foundation set in CMPT 130 using a systems-oriented language such as C or C++. Topics: a review of the basic elements of programming; introduction to object-oriented programming (OOP); techniques for designing and testing programs; use and implementation of elementary data structures and algorithms; introduction to embedded systems programming. Prerequisite: CMPT 130 with a minimum grade of C-. Students with credit for CMPT 125, 126, or 129 may not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
D200 Toby Donaldson
Mo 12:30 PM – 2:20 PM
We 12:30 PM – 1:20 PM
SRYE 1002, Surrey
SRYE 1002, Surrey
D201 Toby Donaldson
We 10:30 AM – 11:20 AM
SRYE 4024, Surrey
D202 Toby Donaldson
We 10:30 AM – 11:20 AM
SRYE 3024, Surrey
D203 Toby Donaldson
We 2:30 PM – 3:20 PM
SRYE 3024, Surrey
D204 Toby Donaldson
We 1:30 PM – 2:20 PM
SRYE 4024, Surrey
D205 Toby Donaldson
We 1:30 PM – 2:20 PM
SRYE 3024, Surrey
D206 Toby Donaldson
We 8:30 AM – 9:20 AM
SRYE 4024, Surrey
D207 Toby Donaldson
We 8:30 AM – 9:20 AM
SRYE 3024, Surrey
D208 Toby Donaldson
We 1:30 PM – 2:20 PM
SRYE 4013, Surrey

and all of

CMPT 105W - Social Issues and Communication Strategies in Computing Science (3)

This course teaches the fundamentals of informative and persuasive communication for professional engineers and computer scientists. A principal goal of this course is to assist students in thinking critically about various contemporary technical, social, and ethical issues. It focuses on communicating technical information clearly and concisely, managing issues of persuasion when communicating with diverse audiences, presentation skills, and teamwork. Students with credit for ENSC 102, ENSC 105W, MSE 101W or SEE 101W may not take CMPT 105W for further credit. Writing.

Section Instructor Day/Time Location
D100 Jacqueline Nelsen
Mo 12:30 PM – 2:20 PM
We 12:30 PM – 1:20 PM
AQ 3153, Burnaby
AQ 3005, Burnaby
D200 Milan Tofiloski
We 4:30 PM – 6:20 PM
Fr 4:30 PM – 5:20 PM
AQ 3159, Burnaby
AQ 3153, Burnaby
CMPT 225 - Data Structures and Programming (3)

Introduction to a variety of practical and important data structures and methods for implementation and for experimental and analytical evaluation. Topics include: stacks, queues and lists; search trees; hash tables and algorithms; efficient sorting; object-oriented programming; time and space efficiency analysis; and experimental evaluation. Prerequisite: (MACM 101 and (CMPT 125, CMPT 129 or CMPT 135)) or (ENSC 251 and ENSC 252), all with a minimum grade of C-. Quantitative.

Section Instructor Day/Time Location
D100 John Edgar
We 3:30 PM – 4:20 PM
Fr 2:30 PM – 4:20 PM
SRYE 1002, Surrey
SRYE 1002, Surrey
D101 John Edgar
Tu 11:30 AM – 12:20 PM
SRYE 4024, Surrey
D102 John Edgar
Tu 11:30 AM – 12:20 PM
SRYE 4013, Surrey
D103 John Edgar
Tu 12:30 PM – 1:20 PM
SRYE 4024, Surrey
D104 John Edgar
Tu 12:30 PM – 1:20 PM
SRYE 4013, Surrey
D105 John Edgar
Tu 1:30 PM – 2:20 PM
SRYE 4024, Surrey
D106 John Edgar
Tu 1:30 PM – 2:20 PM
SRYE 4013, Surrey
D107 John Edgar
Tu 2:30 PM – 3:20 PM
SRYE 4024, Surrey
D108 John Edgar
Tu 2:30 PM – 3:20 PM
SRYE 4013, Surrey
D200 Anne Lavergne
Mo, We, Fr 1:30 PM – 2:20 PM
SSCB 9200, Burnaby
D201 Anne Lavergne
Tu 1:30 PM – 2:20 PM
ASB 9898, Burnaby
D202 Anne Lavergne
Tu 1:30 PM – 2:20 PM
ASB 9898, Burnaby
D203 Anne Lavergne
Tu 2:30 PM – 3:20 PM
ASB 9898, Burnaby
D204 Anne Lavergne
Tu 2:30 PM – 3:20 PM
ASB 9898, Burnaby
D205 Anne Lavergne
Tu 3:30 PM – 4:20 PM
ASB 9898, Burnaby
D206 Anne Lavergne
Tu 3:30 PM – 4:20 PM
ASB 9898, Burnaby
D207 Anne Lavergne
Tu 4:30 PM – 5:20 PM
ASB 9898, Burnaby
D208 Anne Lavergne
Tu 4:30 PM – 5:20 PM
ASB 9898, Burnaby
CMPT 276 - Introduction to Software Engineering (3)

An overview of various techniques used for software development and software project management. Major tasks and phases in modern software development, including requirements, analysis, documentation, design, implementation, testing,and maintenance. Project management issues are also introduced. Students complete a team project using an iterative development process. Prerequisite: One W course, CMPT 225, (MACM 101 or (ENSC 251 and ENSC 252)) and (MATH 151 or MATH 150), all with a minimum grade of C-. MATH 154 or MATH 157 with at least a B+ may be substituted for MATH 151 or MATH 150. Students with credit for CMPT 275 may not take this course for further credit.

Section Instructor Day/Time Location
D100 Saba Alimadadi Jani
Mo 8:30 AM – 9:20 AM
Th 8:30 AM – 10:20 AM
AQ 3005, Burnaby
AQ 3003, Burnaby
D200 Bobby Chan
Mo, We, Fr 10:30 AM – 11:20 AM
SRYE 2016, Surrey
CMPT 295 - Introduction to Computer Systems (3)

The curriculum introduces students to topics in computer architecture that are considered fundamental to an understanding of the digital systems underpinnings of computer systems. Prerequisite: Either (MACM 101 and (CMPT 125 or CMPT 135)) or (MATH 151 and CMPT 102 for students in an Applied Physics program), all with a minimum grade of C-.

Section Instructor Day/Time Location
D100 Anne Lavergne
Mo 2:30 PM – 3:20 PM
Th 2:30 PM – 4:20 PM
SWH 10081, Burnaby
AQ 3182, Burnaby
D101 Anne Lavergne
We 1:30 PM – 2:20 PM
ASB 9898, Burnaby
D102 Anne Lavergne
We 1:30 PM – 2:20 PM
ASB 9898, Burnaby
D103 Anne Lavergne
We 2:30 PM – 3:20 PM
ASB 9898, Burnaby
D104 Anne Lavergne
We 2:30 PM – 3:20 PM
ASB 9898, Burnaby
D105 Anne Lavergne
We 3:30 PM – 4:20 PM
ASB 9898, Burnaby
D106 Anne Lavergne
We 3:30 PM – 4:20 PM
ASB 9898, Burnaby
D107 Anne Lavergne
We 4:30 PM – 5:20 PM
ASB 9898, Burnaby
D108 Anne Lavergne
We 4:30 PM – 5:20 PM
ASB 9898, Burnaby
MACM 101 - Discrete Mathematics I (3)

Introduction to counting, induction, automata theory, formal reasoning, modular arithmetic. Prerequisite: BC Math 12 (or equivalent), or any of MATH 100, 150, 151, 154, 157. Quantitative/Breadth-Science.

Section Instructor Day/Time Location
D100 Milan Tofiloski
Tu 4:30 PM – 6:20 PM
Th 4:30 PM – 5:20 PM
AQ 3182, Burnaby
AQ 3182, Burnaby
D101 Milan Tofiloski
Th 3:30 PM – 4:20 PM
WMC 2523, Burnaby
D102 Milan Tofiloski
Th 3:30 PM – 4:20 PM
BLU 9655, Burnaby
D103 Milan Tofiloski
Th 1:30 PM – 2:20 PM
BLU 11901, Burnaby
D104 Milan Tofiloski
Th 1:30 PM – 2:20 PM
BLU 10901, Burnaby
D105 Milan Tofiloski
Th 2:30 PM – 3:20 PM
BLU 9655, Burnaby
D106 Milan Tofiloski
Th 2:30 PM – 3:20 PM
AQ 5009, Burnaby
D107 Milan Tofiloski
Th 5:30 PM – 6:20 PM
WMC 2533, Burnaby
D108 Milan Tofiloski
Th 5:30 PM – 6:20 PM
AQ 5047, Burnaby
D200 Harinder Khangura
Mo 2:30 PM – 4:20 PM
We 2:30 PM – 3:20 PM
SRYE 1002, Surrey
SRYE 1002, Surrey
D201 Harinder Khangura
Th 1:30 PM – 2:20 PM
SRYE 3024, Surrey
D202 Harinder Khangura
Th 2:30 PM – 3:20 PM
SRYE 3024, Surrey
D203 Harinder Khangura
Th 2:30 PM – 3:20 PM
SRYE 4013, Surrey
D204 Harinder Khangura
Th 3:30 PM – 4:20 PM
SRYE 3024, Surrey
D205 Harinder Khangura
Th 3:30 PM – 4:20 PM
SRYE 4013, Surrey
D206 Harinder Khangura
Th 3:30 PM – 4:20 PM
SRYE 4024, Surrey
D207 Harinder Khangura
Th 4:30 PM – 5:20 PM
SRYE 3024, Surrey
D208 Harinder Khangura
Th 4:30 PM – 5:20 PM
SRYE 4013, Surrey
MACM 201 - Discrete Mathematics II (3)

A continuation of MACM 101. Topics covered include graph theory, trees, inclusion-exclusion, generating functions, recurrence relations, and optimization and matching. Prerequisite: MACM 101 or (ENSC 251 and one of MATH 232 or MATH 240). Quantitative.

Section Instructor Day/Time Location
D100 Bojan Mohar
Mo, We, Fr 12:30 PM – 1:20 PM
AQ 3181, Burnaby
D200 Mahdieh Malekian
Mo, We, Fr 8:30 AM – 9:20 AM
SRYC 5280, Surrey
D300 Amarpreet Rattan
Mo, We, Fr 4:30 PM – 5:20 PM
EDB 7618, Burnaby
OP01 TBD
OP02 TBD
OP03 TBD

Linguistics Requirements

Students complete at least nine units, including both

LING 220 - Introduction to Linguistics (3)

Explores how language works. Introduces students to the systematic nature of language by exploring the patterns of sounds, words, sentences and meanings in English and other languages. Develops problem-solving and critical thinking skills through hands-on training in pattern recognition and language data analysis. Open to all students. Breadth-Social Sciences.

Section Instructor Day/Time Location
D100 Claudia Wong
TBD
D101 Wei Wah Wong
Tu 3:30 PM – 4:20 PM
WMC 3513, Burnaby
D102 We 9:30 AM – 10:20 AM
RCB 6101, Burnaby
D103 We 9:30 AM – 10:20 AM
AQ 4125, Burnaby
D104 We 10:30 AM – 11:20 AM
AQ 2122, Burnaby
D105 We 11:30 AM – 12:20 PM
AQ 5028, Burnaby
D106 Th 9:30 AM – 10:20 AM
AQ 5027, Burnaby
D107 Th 9:30 AM – 10:20 AM
AQ 4115, Burnaby
LING 282W - Writing for Linguistics (3)

Develops skills in language analysis by focusing on reading and writing of linguistic argumentation. Explores the foundations of such argumentation in the core areas of linguistics. Students read and discuss primary literature in linguistics in order to understand how to formulate hypotheses and evaluate them. They also learn how to use writing to construct their own solutions to challenging linguistic problems. Prerequisite: LING 220. Writing/Quantitative.

Section Instructor Day/Time Location
D200 Panayiotis Pappas
Mo 10:30 AM – 12:20 PM
Mo 10:30 AM – 12:20 PM
Mo 10:30 AM – 12:20 PM
Mo 10:30 AM – 12:20 PM
Mo 10:30 AM – 12:20 PM
Mo 10:30 AM – 12:20 PM
Mo 10:30 AM – 12:20 PM
Mo 10:30 AM – 12:20 PM
SWH 10051, Burnaby
SWH 10051, Burnaby
SWH 10051, Burnaby
SWH 10051, Burnaby
SWH 10051, Burnaby
SWH 10051, Burnaby
SWH 10051, Burnaby
SWH 10051, Burnaby

Upper Division Requirements

Computing Science Requirements

Students complete at least 24 units, including all 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 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 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.

and four courses chosen from four distinct concentration areas as listed in Table I. CMPT 308 and 379 are recommended.

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 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.

Linguistics Requirements

Students complete at least 21 units, including both of

LING 321 - Phonology (3)

An overview of theoretical principles in phonology. Prerequisite: LING 282W; or LING 221 and any lower division W course.

Section Instructor Day/Time Location
D100 John Alderete
Mo 12:30 PM – 2:20 PM
We 12:30 PM – 1:20 PM
WMC 2532, Burnaby
RCB 6125, Burnaby
LING 322 - Syntax (3)

Introduces theories of sentence structure. Prerequisite: LING 282W; or LING 222 and any lower division W course.

Section Instructor Day/Time Location
D100 Nancy Hedberg
Th 2:30 PM – 4:20 PM
RCB 6125, Burnaby

and one of

LING 400 - Formal Linguistics (3)

Formal systems and their relation to linguistic methods and theory. Topics include the mathematical properties of natural languages, and rigorously defined frameworks for linguistic analysis and their formal properties. Prerequisite: LING 322. Recommended: PHIL 210. Quantitative.

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.

and 12 units chosen from

LING 323 - Morphology (3)

Word structure in natural languages and its relationship to phonological and syntactic levels of grammar. Prerequisite: One of LING 301W, 309W or 482W.

Section Instructor Day/Time Location
D100 Trevor Block
Tu 8:30 AM – 11:20 AM
SWH 10061, Burnaby
LING 324 - Semantics (3)

Basic formal aspects of meaning (e.g. compositional semantics, truth conditional semantics and quantification in natural language) and how they are distinguished from pragmatic aspects of meaning. Prerequisite: LING 282W; or LING 222 and any lower division W course. Quantitative.

Section Instructor Day/Time Location
D100 Nancy Hedberg
Th 10:30 AM – 12:20 PM
RCB 6125, Burnaby
LING 330 - Phonetics (3)

A survey of methods of speech sound description and transcription. Prerequisite: LING 282W; or LING 221 and any lower division W course.

Section Instructor Day/Time Location
D100 Keith Leung
We 2:30 PM – 5:20 PM
BLU 10031, Burnaby
LING 401 - Topics in Phonetics (3)

Advanced training in speech sound description and analysis in the impressionistic and instrumental modes. Prerequisite: LING 330.

LING 480 - Topics in Linguistics I (3) *

Investigation of a selected area of linguistic research. This course may be repeated once for credit if the topic is different. Prerequisite: Requirements will vary according to the topic offered.

LING 481 - Topics in Linguistics II (3) *

Investigation of a selected area of linguistic research. This course may be repeated once for credit if the subject is different. Prerequisite: Requirements will vary according to the topic offered.

* when offered with a suitable topic

Elective Courses

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

Other Requirements

Depending on the student’s choice, either a bachelor of arts from the Faculty of Arts and Social Sciences (FASS), or a bachelor of science from the Faculty of Applied Sciences (FAS) will be awarded. Students must fulfil their chosen faculty’s distinct requirements.

Faculty of Arts and Social Sciences Degree Requirements

For all bachelor of arts (BA) programs, students complete 120 units, which includes

  • at least 60 units that must be completed at Simon Fraser University
  • at least 45 upper division units, of which at least 30 upper division units must be completed at Simon Fraser University
  • at least 60 units (including 21 upper division units) in Faculty of Arts and Social Sciences courses
  • satisfaction of the writing, quantitative, and breadth requirements
  • an overall cumulative grade point average (CGPA) and upper division CGPA of at least 2.0, and minimum CGPA and upper division CGPA of at least 2.0 across all units attempted in each subject that is a major, a joint major, a minor, or an extended minor. FASS Departments may define specific requirements for their respective programs.

Writing, Quantitative, and Breadth Requirements

Students admitted to Simon Fraser University beginning in the fall 2006 term must meet writing, quantitative and breadth requirements as part of any degree program they may undertake. See Writing, Quantitative, and Breadth Requirements for university-wide information.

WQB Graduation Requirements

A grade of C- or better is required to earn W, Q or B credit

Requirement

Units

Notes
W - Writing

6

Must include at least one upper division course, taken at Simon Fraser University within the student’s major subject
Q - Quantitative

6

Q courses may be lower or upper division
B - Breadth

18

Designated Breadth Must be outside the student’s major subject, and may be lower or upper division
6 units Social Sciences: B-Soc
6 units Humanities: B-Hum
6 units Sciences: B-Sci

6

Additional Breadth 6 units outside the student’s major subject (may or may not be B-designated courses, and will likely help fulfil individual degree program requirements)

Students choosing to complete a joint major, joint honours, double major, two extended minors, an extended minor and a minor, or two minors may satisfy the breadth requirements (designated or not designated) with courses completed in either one or both program areas.

 

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.

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.