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To view the Summer 2022 Academic Calendar, go to www.sfu.ca/students/calendar/2022/summer.html.

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

Computing Science Dual Degree Program Major

Bachelor of Science

The school offers a dual degree program (DDP) with Zhejiang University (ZJU) in China that leads to the awarding of two degrees – a bachelor of science from Simon Fraser University (SFU) and, depending on program option, a bachelor of engineering or master of finance from Zhejiang University.

Admission Requirements

BSc/BEng Option

Students are admitted to the BSc/BEng option upon recommendation of the Zhejiang University College of Computer Science and Technology.

BSc/Master of Finance Option

Students may be admitted directly upon entry to Simon Fraser University (secondary school applicants) or indirectly by transfer from another SFU program. Admission is competitive and enrollment is limited. Decisions will be made on the basis of a student's admission average in combination with the required supplemental information. Admission for secondary school applicants is a two-step process; Applicants must meet the competitive admission average calculated on specific secondary school coursework (http://www.sfu.ca/students/admission-requirements.html) and they must also submit the following materials through the DDP website (https://courses.cs.sfu.ca/forms/cmpt-ddp/): (a) a completed Statement of Interest Form (b) a resume outlining school achievements, extracurricular activities, and employment history if any, and (c) names, titles and email addresses of two referees. At least one of the referees must be from a teacher/counselor/principal who can comment on academic potential and maturity for the Dual Degree Program.

The program begins each fall term, but students may be admitted in any term.

Internal transfer applicants should seek the advice of an Applied Sciences advisor for academic and language-placement assessment.

Continuation Requirements

Students who do not maintain at least a 2.40 cumulative grade point average (CGPA), will be placed on probation. 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. Reinstatement from probationary standing occurs when the CGPA improves to 2.40 or better and is maintained.

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

Students in the BSc/Master of Finance option must maintain at least a 3.0 CGPA.

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 upper division computing courses.

Program Overview

BSc/BEng Option

Students complete a four-year curriculum starting with two years including all lower division courses required by the Dual Degree Program curriculum at Zhejiang University (typically 60-66 units). Zhejiang students then travel to Simon Fraser University to complete the remaining two years of course work (typically 54-60 units) including 39-45 units of upper division computing science courses.

BSc/Master of Finance Option

Students complete a five year curriculum starting with 3.5 years of a computing science major or honours program completing at least 102 units at SFU. Students then spend 1.5 years at Zhejiang University completing the remaining requirements of the SFU BSc within the first year and the requirements of the ZJU master of finance thereafter.

Program Requirements

Lower Division Requirements

BSc/BEng Option

After successful completion of the two-year Dual Degree program curriculum at Zhejiang University, students receive 60 units of block DDP credit on the SFU transcript plus up to six additional units of assigned upper division CMPT credit. The block DDP credit includes six units of B-Hum credit, six units of B-Soc credit, six units of B-Sci credit, six units of B-undesignated and six units of Q credit. Zhejiang students must complete six units of W credit at Simon Fraser University.

BSc/Master of Finance Option

Students complete all of

BUS 232 - Business Statistics (3)

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

Section Instructor Day/Time Location
D100 Negar Ganjouhaghighi
We 2:30 PM – 5:20 PM
SSCB 9201, Burnaby
D200 Negar Ganjouhaghighi
Th 2:30 PM – 5:20 PM
SRYC 3090, Surrey
E100 Mohammad Ghotboddini
Mo 6:00 PM – 8:50 PM
WMC 3520, Burnaby
OP01 Mo 12:30 PM – 4:20 PM
WMC 2303, Burnaby
OP02 Tu 9:30 AM – 1:20 PM
WMC 2303, Burnaby
OP03 We 12:30 PM – 2:20 PM
WMC 2303, Burnaby
OP04 Th 12:30 PM – 2:20 PM
SRYC 3050, Surrey
OP05 Fr 2:30 PM – 4:20 PM
SRYC 3050, Surrey
OP06 Mo 4:30 PM – 5:50 PM
WMC 2303, Burnaby
OP07 Tu 4:30 PM – 6:20 PM
WMC 2303, Burnaby
OP08 We 4:30 PM – 6:20 PM
WMC 2303, Burnaby
OP09 Th 12:30 PM – 2:20 PM
WMC 2303, Burnaby
OP10 Fr 12:30 PM – 2:50 PM
WMC 2303, Burnaby
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 Herbert Tsang
Mo 12:30 PM – 2:20 PM
We 12:30 PM – 1:20 PM
AQ 3154, Burnaby
AQ 3153, Burnaby
D200 Harinder Khangura
Mo, We, Fr 12:30 PM – 1:20 PM
SRYE 2016, Surrey
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 Angelica Lim
Mo, We, Fr 9:30 AM – 10:20 AM
AQ 3181, Burnaby
D300 Diana Cukierman
Mo, We, Fr 1:30 PM – 2:20 PM
SSCB 9200, Burnaby
D400 Toby Donaldson
Mo 2:30 PM – 4:20 PM
We 2:30 PM – 3:20 PM
SRYE 1002, Surrey
SRYE 1002, Surrey
OL01 Mo, We, Fr 4:30 PM – 5:20 PM
Distance Education
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 Igor Shinkar
Mo 2:30 PM – 4:20 PM
We 2:30 PM – 3:20 PM
AQ 3182, Burnaby
AQ 3181, Burnaby
D101 Igor Shinkar
Th 10:30 AM – 11:20 AM
ASB 9838, Burnaby
D102 Igor Shinkar
Th 10:30 AM – 11:20 AM
ASB 9838, Burnaby
D103 Igor Shinkar
Th 11:30 AM – 12:20 PM
ASB 9838, Burnaby
D104 Igor Shinkar
Th 11:30 AM – 12:20 PM
ASB 9838, Burnaby
D105 Igor Shinkar
Th 12:30 PM – 1:20 PM
ASB 9838, Burnaby
D106 Igor Shinkar
Th 12:30 PM – 1:20 PM
ASB 9838, Burnaby
D107 Igor Shinkar
Th 1:30 PM – 2:20 PM
ASB 9838, Burnaby
D108 Igor Shinkar
Th 1:30 PM – 2:20 PM
ASB 9838, 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 David Mitchell
Mo, We, Fr 1:30 PM – 2:20 PM
WMC 3520, Burnaby
D101 David Mitchell
Tu 8:30 AM – 9:20 AM
ASB 9838, Burnaby
D102 David Mitchell
Tu 8:30 AM – 9:20 AM
ASB 9838, Burnaby
D103 David Mitchell
Tu 9:30 AM – 10:20 AM
ASB 9838, Burnaby
D104 David Mitchell
Tu 9:30 AM – 10:20 AM
ASB 9838, Burnaby
D105 David Mitchell
Tu 10:30 AM – 11:20 AM
ASB 9838, Burnaby
D106 David Mitchell
Tu 10:30 AM – 11:20 AM
ASB 9838, Burnaby
D107 David Mitchell
Tu 11:30 AM – 12:20 PM
ASB 9838, Burnaby
D108 David Mitchell
Tu 11:30 AM – 12:20 PM
ASB 9838, Burnaby
D200 Anne Lavergne
Tu 2:30 PM – 4:20 PM
Fr 2:30 PM – 3:20 PM
SRYE 2016, Surrey
SRYE 2016, Surrey
D201 Anne Lavergne
Mo 2:30 PM – 3:20 PM
SRYE 4024, Surrey
D202 Anne Lavergne
Mo 2:30 PM – 3:20 PM
SRYE 4013, Surrey
D203 Anne Lavergne
Mo 4:30 PM – 5:20 PM
SRYE 4024, Surrey
D204 Anne Lavergne
Mo 4:30 PM – 5:20 PM
SRYE 4013, Surrey
D205 Anne Lavergne
Mo 5:30 PM – 6:20 PM
SRYE 4024, Surrey
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, We, Fr 10:30 AM – 11:20 AM
AQ 3149, Burnaby
D200 Rob Cameron
Mo 5:30 PM – 8:20 PM
AQ 3149, Burnaby
D300 Brian Fraser
Mo, We, Fr 1:30 PM – 2:20 PM
SRYE 3016, 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 Alaa Alameldeen
Arrvindh Shriraman
Mo 4:30 PM – 5:20 PM
Th 4:30 PM – 6:20 PM
SWH 10081, Burnaby
SWH 10081, Burnaby
D101 Alaa Alameldeen
Arrvindh Shriraman
Tu 3:30 PM – 4:20 PM
ASB 9838, Burnaby
D102 Alaa Alameldeen
Arrvindh Shriraman
Tu 3:30 PM – 4:20 PM
ASB 9838, Burnaby
D103 Alaa Alameldeen
Arrvindh Shriraman
Tu 3:30 PM – 4:20 PM
ASB 9838, Burnaby
D104 Alaa Alameldeen
Arrvindh Shriraman
Tu 4:30 PM – 5:20 PM
ASB 9838, Burnaby
D105 Alaa Alameldeen
Arrvindh Shriraman
Tu 4:30 PM – 5:20 PM
ASB 9838, Burnaby
D106 Alaa Alameldeen
Arrvindh Shriraman
Tu 4:30 PM – 5:20 PM
ASB 9838, Burnaby
D107 Alaa Alameldeen
Arrvindh Shriraman
Tu 5:30 PM – 6:20 PM
ASB 9838, Burnaby
D108 Alaa Alameldeen
Arrvindh Shriraman
Tu 5:30 PM – 6:20 PM
ASB 9838, Burnaby
D109 Alaa Alameldeen
Arrvindh Shriraman
Tu 5:30 PM – 6:20 PM
ASB 9838, Burnaby
D110 Alaa Alameldeen
Arrvindh Shriraman
Tu 6:30 PM – 7:20 PM
ASB 9838, Burnaby
D111 Alaa Alameldeen
Arrvindh Shriraman
Tu 6:30 PM – 7:20 PM
ASB 9838, Burnaby
D112 Alaa Alameldeen
Arrvindh Shriraman
Tu 6:30 PM – 7:20 PM
ASB 9838, Burnaby
ECON 105 - Principles of Macroeconomics (4)

The principal elements of theory concerning money and income, distribution, social accounts, public finance, international trade, comparative systems, and development and growth. Students with credit for ECON 205 cannot take ECON 105 for further credit. Quantitative/Breadth-Soc.

Section Instructor Day/Time Location
D100 William Shen
Tu 10:30 AM – 12:20 PM
Fr 10:30 AM – 11:20 AM
SSCB 9201, Burnaby
SSCB 9200, Burnaby
D101 Tu 12:30 PM – 1:20 PM
BLU 10021, Burnaby
D102 Tu 12:30 PM – 1:20 PM
AQ 5039, Burnaby
D103 Tu 12:30 PM – 1:20 PM
WMC 3255, Burnaby
D104 Tu 1:30 PM – 2:20 PM
RCB 6122, Burnaby
D105 Tu 1:30 PM – 2:20 PM
RCB 5120, Burnaby
D106 Th 3:30 PM – 4:20 PM
BLU 10921, Burnaby
D108 We 2:30 PM – 3:20 PM
WMC 2531, Burnaby
D113 Fr 8:30 AM – 9:20 AM
AQ 5036, Burnaby
D114 Fr 9:30 AM – 10:20 AM
WMC 3511, Burnaby
D115 Fr 9:30 AM – 10:20 AM
WMC 3251, Burnaby
D200 Gorkem Ozdemir
Mo 12:30 PM – 2:20 PM
We 12:30 PM – 1:20 PM
AQ 3182, Burnaby
SSCC 9001, Burnaby
D201 Mo 2:30 PM – 3:20 PM
AQ 5004, Burnaby
D202 Mo 2:30 PM – 3:20 PM
BLU 11911, Burnaby
D203 Mo 2:30 PM – 3:20 PM
AQ 5014, Burnaby
D204 Mo 3:30 PM – 4:20 PM
AQ 5014, Burnaby
D205 Mo 3:30 PM – 4:20 PM
AQ 5020, Burnaby
D206 Tu 11:30 AM – 12:20 PM
WMC 2523, Burnaby
D208 Mo 4:30 PM – 5:20 PM
AQ 5014, Burnaby
D212 We 10:30 AM – 11:20 AM
AQ 5005, Burnaby
D214 We 11:30 AM – 12:20 PM
WMC 2507, Burnaby
D215 We 11:30 AM – 12:20 PM
WMC 2523, Burnaby
D900 Seong Choi
Tu 2:30 PM – 4:20 PM
Th 2:30 PM – 4:20 PM
SRYE 1002, Surrey
SRYE 1002, Surrey
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 Andrei Bulatov
Mo 11:30 AM – 12:20 PM
We, Fr 11:30 AM – 12:20 PM
SWH 10081, Burnaby
SSCB 9201, Burnaby
D101 Andrei Bulatov
Fr 12:30 PM – 1:20 PM
AQ 5030, Burnaby
D102 Andrei Bulatov
Fr 12:30 PM – 1:20 PM
BLU 10901, Burnaby
D103 Andrei Bulatov
Fr 1:30 PM – 2:20 PM
BLU 10901, Burnaby
D104 Andrei Bulatov
Fr 1:30 PM – 2:20 PM
WMC 2531, Burnaby
D105 Andrei Bulatov
Fr 2:30 PM – 3:20 PM
AQ 5006, Burnaby
D106 Andrei Bulatov
Fr 2:30 PM – 3:20 PM
WMC 3517, Burnaby
D107 Andrei Bulatov
Fr 3:30 PM – 4:20 PM
WMC 2531, Burnaby
D108 Andrei Bulatov
Fr 3:30 PM – 4:20 PM
AQ 5009, Burnaby
D109 Andrei Bulatov
Fr 10:30 AM – 11:20 AM
AQ 5035, Burnaby
D200 Thomas Shermer
We 3:30 PM – 4:20 PM
Fr 2:30 PM – 4:20 PM
SRYE 1002, Surrey
SRYE 1002, Surrey
D201 Thomas Shermer
Tu 2:30 PM – 3:20 PM
SRYC 3240, Surrey
D202 Thomas Shermer
Tu 2:30 PM – 3:20 PM
SRYC 3250, Surrey
D203 Thomas Shermer
Tu 3:30 PM – 4:20 PM
SRYC 3240, Surrey
D204 Thomas Shermer
Tu 3:30 PM – 4:20 PM
SRYC 3250, Surrey
D205 Thomas Shermer
Tu 4:30 PM – 5:20 PM
SRYC 3240, Surrey
D206 Thomas Shermer
Tu 4:30 PM – 5:20 PM
SRYC 5060, Surrey
D207 Thomas Shermer
Tu 5:30 PM – 6:20 PM
SRYC 5060, Surrey
D208 Thomas Shermer
Tu 5:30 PM – 6:20 PM
SRYC 3040, Surrey
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.

Section Instructor Day/Time Location
D100 Sophie Burrill
Mo, We, Fr 8:30 AM – 9:20 AM
SSCB 9201, Burnaby
D200 Jamie Mulholland
Mo, We, Fr 8:30 AM – 9:20 AM
RCB IMAGTH, Burnaby
D400 Natalia Kouzniak
Mo, We, Fr 9:30 AM – 10:20 AM
SRYE 1002, Surrey
OP01 TBD
OP02 TBD
OP04 TBD
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 Michael Monagan
Mo, We, Fr 8:30 AM – 9:20 AM
SSCB 9200, Burnaby
OP01 TBD
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
SSCB 9200, Burnaby
D400 Randall Pyke
Mo, We, Fr 1:30 PM – 2:20 PM
SRYC 2600, Surrey
OP01 TBD
OP02 Mo, We, Fr 1:30 PM – 2:20 PM
,

and one of

CMPT 210 - Probability and Computing (3)

Probability has become an essential tool in modern computer science with applications in randomized algorithms, computer vision and graphics, systems, data analysis, and machine learning. The course introduces the foundational concepts in probability as required by many modern applications in computing. Prerequisite: MACM 101, MATH 152, and MATH 240, all with a minimum grade of C-.

Section Instructor Day/Time Location
D100 Andrei Bulatov
Mo, We, Fr 9:30 AM – 10:20 AM
AQ 3003, Burnaby
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 Matthew DeVos
Mo, We, Fr 12:30 PM – 1:20 PM
SSCC 9002, Burnaby
D200 Mahsa Faizrahnemoon
Mo, We, Fr 12:30 PM – 1:20 PM
SWH 10081, Burnaby
OP02 TBD

and one of

GA 200 - Introduction to Chinese Civilization (3)

An introduction to historical and cultural perspectives on China. Topics covered will include different aspects of traditional Chinese civilization with a view to understanding contemporary Chinese society. Prerequisite: 15 units. Students with credit for ASC 200 may not take this course for further credit. Breadth-Humanities.

Section Instructor Day/Time Location
D100 Simon Nantais
Fr 10:30 AM – 12:20 PM
WMC 2503, Burnaby
D101 Sessional
Fr 12:30 PM – 1:20 PM
WMC 2501, Burnaby
HIST 255 - China since 1800 (3)

A survey of the history of China from the end of the eighteenth century, when traditional Chinese society was arguably at its height of development, to the end of the twentieth century when the social revolutions promised by the Communist regime have clearly failed to materialize. The main objectives are to provide students with vocabularies and tools to understand and interpret the political, social and cultural transformations in modern China and to initiate them in the art and techniques of historical analysis. Breadth-Humanities.

Course substitutions consistent with those of the computing science major program are acceptable.

Mandarin Courses

Students with no previous knowledge of Chinese languages complete the following courses.

CHIN 180 - Intensive Mandarin Chinese for Beginners I (3)

An intensive introductory course for non-heritage students. Students are expected to master Mandarin Chinese pronunciation and acquaintance with simplified Chinese characters. Basic grammar, everyday conversation topics and Chinese communication style are introduced. Students with credit for CHIN 100 may not take this course for further credit.

CHIN 181 - Intensive Mandarin Chinese for Beginners II (3)

Acontinuation of CHIN 180. Students continue to develop skills in listening, speaking, reading and writing in Chinese at a good pace. Lessons also include on-line listening and writing exercises. Prerequisite: CHIN 180, CHIN 100 or equivalent. Corequisite: This course may be taken concurrently with CHIN 180. Students with credit for CHIN 101 may not take this course for further credit.

CHIN 280 - Intensive Mandarin Chinese for Beginners III (3)

Intensive training in vocabulary, character acquisition and essentials of grammar. Further development of conversational skills through a communicative approach. Lessons include on-line listening and writing exercises. Prerequisite: CHIN 181, CHIN 101 or equivalent. Students with credit for CHIN 200 may not take this course for further credit.

CHIN 281 - Intensive Mandarin Chinese for Beginners IV (3)

A continuation of CHIN 280. Students further develop conversational, reading and writing skills in Chinese. Lessons also include on-line listening and writing exercises. Prerequisite: CHIN 280, CHIN 200 or equivalent. Corequisite: This course may be taken concurrently with CHIN 280. Students with credit for CHIN 201 may not take this course for further credit.

Students with some previous knowledge of Chinese languages are assessed for placement by the DDP Chinese Language Instructor. Students may be required to take one or more of the following courses.

CHIN 190 - Heritage Mandarin Chinese I (3)

An introductory course for heritage language learners who have native or near native speaking ability in Chinese (Mandarin or other dialects), but limited knowledge of written Chinese. Mandarin Chinese phonetic system, basic grammar and 300 Chinese characters are introduced to improve students competences in spoken Mandarin and modern written Chinese. Prerequisite: This course is for students of Chinese origin who have native or near native speaking ability in Chinese (Mandarin or other dialects), but limited knowledge of written Chinese.

Section Instructor Day/Time Location
B100 Cynthia Xie
TBD
B101 Cynthia Xie
Tu 10:30 AM – 12:20 PM
AQ 5006, Burnaby
CHIN 191 - Heritage Mandarin Chinese II (3)

A continuation of CHIN 190. Heritage Chinese students continue to develop competence in Mandarin Chinese, with an emphasis on reading and writing skills. Prerequisite: CHIN 190 or equivalent. This course is for students of Chinese origin who have near native speaking ability in Chinese (Mandarin or other dialects), but limited knowledge of written Chinese.

CHIN 290 - Heritage Mandarin Chinese III (3)

A continuation of CHIN 191. Develops students' communicative competence in spoken Mandarin and modern written Chinese. Classes are conducted entirely in Chinese. Intermediate level materials introduce the basic core of China's culture. By the end of the course, students are expected to have an active vocabulary of approximately 1100 Chinese characters. Prerequisite: CHIN 191 or equivalent. This course is for students of Chinese origin who have near native speaking ability in Chinese (Mandarin or other dialects), but basic knowledge of written Chinese.

Section Instructor Day/Time Location
B100 Cynthia Xie
TBD
B101 Cynthia Xie
Tu 2:30 PM – 4:20 PM
SWH 10051, Burnaby
CHIN 291 - Heritage Mandarin Chinese IV (3)

A continuation of CHIN 290. Students further develop communicative competence in Chinese language, as well as a deeper understanding of Chinese culture through course materials on Chinese history, mythology and folktales. Prerequisite: CHIN 290 or equivalent. This course is for students of Chinese origin who have near native speaking ability in Chinese (Mandarin or other dialects), but basic knowledge of written Chinese.

CHIN 390 - Advanced Chinese Reading (3)

Introduces specialized vocabulary, sentence patterns, word formation and semantic nuances through popular science readings covering a broad array of subjects such as math, physics, computer science etc. Intended for students of intermediate to advanced Chinese reading, to improve their reading skills for documents with an academic focus. Prerequisite: CHIN 291 or permission of the instructor.

Section Instructor Day/Time Location
OL01 Cynthia Xie
TBD

Other Chinese language related courses may be counted toward the language requirements subject to approval by the DDP Chinese Language Instructor.

Upper Division Requirements

BSc/BEng students complete the following upper division courses or equivalent. Students should consult an advisor before commencing upper division requirements. Course substitutions may be approved in consultation with an advisor.

Breadth Requirement

Seven courses from five of the six Table 1 areas of concentration must be completed including

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
Mo 8:30 AM – 9:20 AM
Th 8:30 AM – 10:20 AM
AQ 3182, Burnaby
SSCK 9500, Burnaby
D200 Harinder Khangura
We 9:30 AM – 10:20 AM
Fr 8:30 AM – 10:20 AM
SRYE 3016, Surrey
SRYE 3016, 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 or CMPT 210), (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 David Mitchell
Mo, We, Fr 9:30 AM – 10:20 AM
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 Ouldooz Baghban Karimi
Mo 2:30 PM – 4:20 PM
We 2:30 PM – 3:20 PM
SWH 10081, Burnaby
SWH 10041, Burnaby
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 Ke Wang
Mo 4:30 PM – 6:20 PM
We 5:30 PM – 6:20 PM
AQ 3182, Burnaby
AQ 3181, Burnaby
D200 John Edgar
Mo, We, Fr 1:30 PM – 2:20 PM
SRYE 1002, Surrey

Depth Requirement

12 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).

Additional Requirements

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 John Edgar
Mo, We, Fr 9:30 AM – 10:20 AM
SRYE 2016, Surrey
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 Brenda Davison
Mo, We, Fr 12:30 PM – 1:20 PM
AQ 3181, 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 2830, Burnaby
D106 Th 11:30 AM – 12:20 PM
WMC 2830, Burnaby
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 Rob Cameron
TBD

* CMPT 497 can be replaced by two approved CMPT 400 level courses (six units)

Table I – Computing Science Concentrations

Artificial Intelligence

CMPT 310 - Introduction to Artificial Intelligence (3)

A survey of modern approaches for artificial intelligence (AI). Provides an introduction to a variety of AI topics and prepares students for upper-level courses. Topics include: problem solving with search; adversarial game playing; probability and Bayesian networks; machine learning; and applications such as robotics, visual computing and natural language. 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 Hazra Imran
Mo 10:30 AM – 11:20 AM
Th 10:30 AM – 12:20 PM
AQ 3181, Burnaby
SWH 10081, 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.

Section Instructor Day/Time Location
D100 Angel Chang
Mo 2:30 PM – 5:20 PM
AQ 3159, Burnaby
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-.

Section Instructor Day/Time Location
D100 Hang Ma
We 3:30 PM – 4:20 PM
Fr 2:30 PM – 4:20 PM
AQ 3153, Burnaby
AQ 3153, Burnaby
CMPT 419 - Special Topics in Artificial Intelligence (3)

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

CMPT 420 - Deep Learning (3)

In machine learning, many recent successes have been achieved using neural networks with several layers, so-called deep neural networks. Convolutional neural nets, autoencoders, recurrent neural nets, long-short term memory networks, and generative adversarial networks will be presented. Students will look at techniques for training them from data, and applications. Prerequisite: CMPT 410 or CMPT 419 (Machine Learning), with a minimum grade of C-. Students with credit for CMPT 728 may not take this course for further credit.

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
Xue Bin Jason Peng
We 11:30 AM – 12:20 PM
Fr 10:30 AM – 12:20 PM
WMC 3520, Burnaby
EDB 7618, 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
Tu 2:30 PM – 4:20 PM
Fr 2:30 PM – 3:20 PM
AQ 3153, Burnaby
AQ 3003, Burnaby
D200 Victor Cheung
Mo 10:30 AM – 12:20 PM
We 10:30 AM – 11:20 AM
SRYE 2016, Surrey
SRYE 2016, Surrey
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
We 1:30 PM – 2:20 PM
Fr 12:30 PM – 2:20 PM
SWH 10041, Burnaby
SWH 10041, 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 or CMPT 210), and MACM 316, all with a minimum grade of C-. Students with credit for CMPT 451 may not take this course for further credit.

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.

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-.

Section Instructor Day/Time Location
D100 Sheelagh Carpendale
Tu 8:30 AM – 11:20 AM
SWH 10051, Burnaby

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
Mo 8:30 AM – 9:20 AM
Th 8:30 AM – 10:20 AM
AQ 3182, Burnaby
SSCK 9500, Burnaby
D200 Harinder Khangura
We 9:30 AM – 10:20 AM
Fr 8:30 AM – 10:20 AM
SRYE 3016, Surrey
SRYE 3016, 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-.

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 Ouldooz Baghban Karimi
Mo 2:30 PM – 4:20 PM
We 2:30 PM – 3:20 PM
SWH 10081, Burnaby
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 or CMPT 210), (CMPT 295 or ENSC 215) and CMPT 225, all with a minimum grade of C-.

Section Instructor Day/Time Location
D100 Thomas Shermer
We 11:30 AM – 12:20 PM
Fr 10:30 AM – 12:20 PM
SRYE 2016, Surrey
SRYE 2016, Surrey
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
D100 Keval Vora
Mo, We 3:30 PM – 4:50 PM
SWH 10041, 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-.

CMPT 450 - Computer Architecture (3)

Principles of the architecture of computing systems. Topics include: superscalar processor micro-architecture, speculative execution, cache and memory hierarchy, multiprocessors, cache coherence, memory consistency, implications of technology on architecture, parallel architectures (multi-threading, GPUs, vector processors). Prerequisite: CMPT 295 with a minimum grade of C-.

Section Instructor Day/Time Location
D100 Alaa Alameldeen
Arrvindh Shriraman
Mo 12:30 PM – 2:20 PM
We 12:30 PM – 1:20 PM
AQ 3150, Burnaby
AQ 3149, Burnaby
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-.

Section Instructor Day/Time Location
D100 Khaled Diab
Mohamed Hefeeda
We 11:30 AM – 12:20 PM
Fr 10:30 AM – 12:20 PM
EDB 7618, Burnaby
SSCK 9500, Burnaby
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-.

Section Instructor Day/Time Location
D100 Steven Ko
Th 11:30 AM – 2:20 PM
AQ 5037, Burnaby
E100 Keval Vora
Mo, We 5:30 PM – 6:50 PM
SSCK 9500, Burnaby
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 Gregory Baker
Tu 8:30 AM – 10:20 AM
Fr 8:30 AM – 9:20 AM
EDB 7618, Burnaby
AQ 3181, Burnaby
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 Ke Wang
Mo 4:30 PM – 6:20 PM
We 5:30 PM – 6:20 PM
AQ 3182, Burnaby
AQ 3181, Burnaby
D200 John Edgar
Mo, We, Fr 1:30 PM – 2:20 PM
SRYE 1002, Surrey
CMPT 372 - Web II - Server-side Development (3)

Introduces students to the fundamentals of server-side web development. Students will gain experience working with backend web frameworks, designing and implementing web APIs, and deploying web systems. Students will be introduced to popular back-end frameworks. The course will focus on the design, creating, implementation, and deployment of backend systems, including APIs. Prerequisite: CMPT 272 and CMPT 225, both with a minimum grade of C-. Students with credit for CMPT 470 may not take this course for further credit.

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 Tianzheng Wang
Mo 10:30 AM – 12:20 PM
We 10:30 AM – 11:20 AM
AQ 3159, Burnaby
BLU 9660, 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 2:30 PM – 4:20 PM
Fr 2:30 PM – 3:20 PM
AQ 3159, Burnaby
AQ 3150, Burnaby
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-.

Section Instructor Day/Time Location
D100 William Sumner
Mo 2:30 PM – 3:20 PM
Th 2:30 PM – 4:20 PM
SRYE 3016, Surrey
SRYE 3016, Surrey
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 Anders Miltner
Tu 8:30 AM – 10:20 AM
Fr 8:30 AM – 9:20 AM
BLU 9660, Burnaby
SWH 10041, 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
E100 William Sumner
Mo 4:30 PM – 6:20 PM
Th 5:30 PM – 6:20 PM
SRYE 1002, Surrey
SRYE 1002, Surrey
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 CMPT 276, (MACM 201 or CMPT 210) , all with a minimum grade of C- and 15 units of upper division courses. Recommended: Co-op experience.

Section Instructor Day/Time Location
D100 Dan Ridinger
We 9:30 AM – 10:20 AM
Fr 8:30 AM – 10:20 AM
WMC 3260, Burnaby
SSCK 9500, 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-.

Section Instructor Day/Time Location
D100 Yuepeng Wang
Tu 8:30 AM – 10:20 AM
Fr 8:30 AM – 9:20 AM
SSCK 9500, Burnaby
BLU 9660, Burnaby
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 or CMPT 210), (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 David Mitchell
Mo, We, Fr 9:30 AM – 10:20 AM
EDB 7618, 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 or CMPT 210) with a minimum grade of C-.

Section Instructor Day/Time Location
D100 Valentine Kabanets
Mo 12:30 PM – 1:20 PM
Th 12:30 PM – 2:20 PM
SSCK 9500, Burnaby
SSCK 9500, Burnaby
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 or CMPT 210) 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 Qianping Gu
Mo 8:30 AM – 10:20 AM
We 8:30 AM – 9:20 AM
WMC 3260, Burnaby
SWH 10041, 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-.

Section Instructor Day/Time Location
D100 Matthew Amy
Tu 12:30 PM – 2:20 PM
Fr 12:30 PM – 1:20 PM
AQ 5018, Burnaby
BLU 10011, Burnaby
D200 Sharan Vaswani
Mo 2:30 PM – 3:20 PM
Th 2:30 PM – 4:20 PM
WMC 2200, Burnaby
AQ 5037, Burnaby
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.

Minimum Unit and Residency Requirement

Students must complete a minimum of 120 SFU equivalent units overall including at least 45 upper division units. Students must complete at least 54 ZJU units at Zhejiang University including at least 34 computing science core course units. Students must also complete at least 54 units at Simon Fraser University including at least 30 upper division computing science course units.

BSc/Master of Finance Students

By default, the SFU credential awarded by completion of the requirements outlined below is bachelor of science with major in computing science. However, students may choose instead to apply the ZIBS credit towards any other major, joint major, honours or joint honours program offered by the School of Computing Science, provided that the requirements of the chosen program are fully met.

Breadth Requirement

Students complete 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
Mo 8:30 AM – 9:20 AM
Th 8:30 AM – 10:20 AM
AQ 3182, Burnaby
SSCK 9500, Burnaby
D200 Harinder Khangura
We 9:30 AM – 10:20 AM
Fr 8:30 AM – 10:20 AM
SRYE 3016, Surrey
SRYE 3016, 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 or CMPT 210), (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 David Mitchell
Mo, We, Fr 9:30 AM – 10:20 AM
EDB 7618, Burnaby
CMPT 310 - Introduction to Artificial Intelligence (3)

A survey of modern approaches for artificial intelligence (AI). Provides an introduction to a variety of AI topics and prepares students for upper-level courses. Topics include: problem solving with search; adversarial game playing; probability and Bayesian networks; machine learning; and applications such as robotics, visual computing and natural language. 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 Hazra Imran
Mo 10:30 AM – 11:20 AM
Th 10:30 AM – 12:20 PM
AQ 3181, Burnaby
SWH 10081, Burnaby
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 Ke Wang
Mo 4:30 PM – 6:20 PM
We 5:30 PM – 6:20 PM
AQ 3182, Burnaby
AQ 3181, Burnaby
D200 John Edgar
Mo, We, Fr 1:30 PM – 2:20 PM
SRYE 1002, Surrey
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 Ouldooz Baghban Karimi
Mo 2:30 PM – 4:20 PM
We 2:30 PM – 3:20 PM
SWH 10081, Burnaby
SWH 10041, Burnaby
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 John Edgar
Mo, We, Fr 9:30 AM – 10:20 AM
SRYE 2016, Surrey

Dept Requirement

Students complete 24 additional upper division CMPT units, including at least nine units at the CMPT 400 level or above.

The following ZIBS courses may be counted for two units of CMPT 4XX credit each, up to a maximum of six units.

Blockchain and Digital Currency (2)

Distributed Ledger Technology (2)

Cloud Computing and Biometrics (2)

Quantitative Trading and Algorithmic Trading (2)

Study at ZIBS

Students apply by May 30 to begin studies at Zhejiang University in either the following fall term (September start) or spring term (February start - accelerated program).

Students must complete at least 102 units of SFU degree requirements with a cumulative grade point average of at least 3.0 prior to beginning study of Zhejiang University. Students starting in September complete the ZIBS program in two years, students starting in February complete the ZIBS program in 1.5 years.

SFU students will be given advanced credit toward ZIBS requirements based on specific SFU coursework completed. Each year, an updated list of recognized SFU courses that may be counted towards ZIBS requirements will be available from the program advisor.

Credit for ZIBS Course Work

Students will be awarded 18 units of upper division block transfer credit for completion of the first 18 units of course work at ZIBS. This block credit may be counted towards three units of B-Soc breadth requirements as well as six units of undesignated breadth requirements. Depending on the specific ZIBS course taken, up to six units may be counted towards CMPT 4XX requirements as noted above.

Students must complete this ZIBS coursework and all other SFU degree requirements for the BSc within one year of beginning studies at Zhejiang University. Completion of the SFU bachelor’s degree is required before application for the master of finance degree from Zhejiang University.

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.

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.

 

Tuition and Program Fee

See the Undergraduate Tuition page for more information.