Please note:

To view the Fall 2017 Academic Calendar go to http://www.sfu.ca/students/calendar/2017/fall.html

School of Computing Science Simon Fraser University Calendar | Spring 2018

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 bachelor’s degrees – a bachelor of science from Simon Fraser University (SFU) and a bachelor of engineering from Zhejiang University.

Admission Requirements

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 enrolment 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 enrolment 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.

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

Simon Fraser University Students

Students admitted first to Simon Fraser University complete a five-year curriculum typically starting with 30 units of foundational and Mandarin courses at SFU. Students then spend two years at Zhejiang University typically completing 45-60 units including all lower division requirements. Upon returning to SFU, students typically complete their degree programs with 30-45 units of upper division computing science courses.

Zhejiang University Students

Students admitted first to Zhejiang University 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.

Program Requirements

Lower Division Requirements

Simon Fraser University Students

Students starting at Simon Fraser University complete 15 units of foundational courses plus customized Mandarin courses prior to attending Zhejiang University. Course substitutions may be approved in consultation with an advisor.

Foundational Courses

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 and be exposed to diverse fields within, and applications of computing science. Topics will include: pseudocode, data types and control structures, fundamental algorithms, computability and complexity, computer architecture, and history of computing science. 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, Fr 9:30 AM – 10:20 AM
We 9:30 AM – 10:20 AM
AQ 3181, Burnaby
AQ 3182, Burnaby
D101 Angelica Lim
Th 9:30 AM – 10:20 AM
ASB 9838, Burnaby
D102 Angelica Lim
Th 10:30 AM – 11:20 AM
ASB 9838, Burnaby
D103 Angelica Lim
Th 11:30 AM – 12:20 PM
ASB 9838, Burnaby
D104 Angelica Lim
Th 12:30 PM – 1:20 PM
ASB 9838, Burnaby
D105 Angelica Lim
Th 1:30 PM – 2:20 PM
ASB 9838, Burnaby
D106 Angelica Lim
Th 2:30 PM – 3:20 PM
ASB 9838, Burnaby
D107 Angelica Lim
Th 3:30 PM – 4:20 PM
ASB 9838, Burnaby
D108 Angelica Lim
Th 3:30 PM – 4:20 PM
ASB 9838, Burnaby
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 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; 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 Brenda Davison
Mo, We, Fr 8:30 AM – 9:20 AM
SSCC 9001, Burnaby
D200
Mo, We, Fr 11:30 AM – 12:20 PM
SUR 5280, Surrey
D300
Mo, We, Fr 8:30 AM – 9:20 AM
WMC 2810, Burnaby
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; 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
Mo, We, Fr 11:30 AM – 12:20 PM
BLU 10921, Burnaby
OP01
TBD
PHIL 120W - Moral Problems (3)

A critical examination of a range of questions and problems we confront as moral agents, such as: the nature and scope of our moral responsibilities, the source of our moral and civil rights, and the role of moral emotions, like resentment, love and forgiveness. Students with credit for PHIL 120 may not take this course for further credit. Writing/Breadth-Humanities.

Section Instructor Day/Time Location
D100 Sam Black
Mo 12:30 PM – 2:20 PM
SSCB 9200, Burnaby
D101
Mo 9:30 AM – 10:20 AM
AQ 5026, Burnaby
D102
Mo 9:30 AM – 10:20 AM
AQ 5019, Burnaby
D103
Mo 11:30 AM – 12:20 PM
AQ 5019, Burnaby
D104
Mo 2:30 PM – 3:20 PM
WMC 3515, Burnaby
D105
Mo 2:30 PM – 3:20 PM
RCB 8106, Burnaby
D106
Mo 2:30 PM – 3:20 PM
RCB 8105, Burnaby
D107
Mo 2:30 PM – 3:20 PM
RCB 8104, Burnaby
D108
Mo 3:30 PM – 4:20 PM
RCB 8105, Burnaby
D109
Mo 3:30 PM – 4:20 PM
RCB 8104, Burnaby
D110
Mo 3:30 PM – 4:20 PM
RCB 7105, Burnaby
D111
Mo 3:30 PM – 4:20 PM
RCB 6100, Burnaby
D112
Tu 9:30 AM – 10:20 AM
AQ 5026, Burnaby
D113
Tu 9:30 AM – 10:20 AM
AQ 5015, Burnaby
D114
We 12:30 PM – 1:20 PM
AQ 5029, Burnaby
D115
We 12:30 PM – 1:20 PM
AQ 5026, Burnaby
D116
Mo 9:30 AM – 10:20 AM
AQ 4125, Burnaby
D117
We 9:30 AM – 10:20 AM
AQ 5038, Burnaby

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. 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.

Section Instructor Day/Time Location
D100 Cynthia Xie
Tu 10:30 AM – 1:20 PM
Th 10:30 AM – 12:20 PM
Fr 12:30 PM – 3:20 PM
AQ 5015, Burnaby
RCB 7300, Burnaby
AQ 5015, Burnaby
D200 Cynthia Xie
Tu 10:30 AM – 1:20 PM
Th 10:30 AM – 12:20 PM
Fr 12:30 PM – 3:20 PM
AQ 5015, Burnaby
RCB 7300, Burnaby
AQ 5015, Burnaby
D201 Cynthia Xie
Mo 2:30 PM – 4:20 PM
RCB 7300, Burnaby
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. Students with credit for CHIN 201 may not take this course for further credit.

Section Instructor Day/Time Location
D100 Cynthia Xie
Tu 10:30 AM – 1:20 PM
Th 10:30 AM – 12:20 PM
Fr 12:30 PM – 3:20 PM
AQ 5015, Burnaby
RCB 7300, Burnaby
AQ 5015, Burnaby
D200 Cynthia Xie
Tu 10:30 AM – 1:20 PM
Th 10:30 AM – 12:20 PM
Fr 12:30 PM – 3:20 PM
AQ 5015, Burnaby
RCB 7300, Burnaby
AQ 5015, Burnaby
D201 Cynthia Xie
Mo 2:30 PM – 4:20 PM
RCB 7300, Burnaby

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.

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.

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.

Section Instructor Day/Time Location
D100 Cynthia Xie
Tu 2:30 PM – 4:20 PM
Th 2:30 PM – 4:20 PM
RCB 6206, Burnaby
RCB 7300, Burnaby

Upon completion of Mandarin courses at Simon Fraser University, students are further assessed by the DDP Chinese Language instructor. Some students may be exempted from further Mandarin studies by taking and passing the HSK level 5 Exam with a score of 180 or higher. All other students must take the Zhejiang non-credit Mandarin summer immersion program prior to commencing academic study at Zhejiang University.

Zhejiang University Course Plans

Students complete lower division requirements following one of the two-year Dual Degree course plans set by Zhejiang University. These plans may include additional Mandarin instruction dependent on language assessment. All plans meet the minimum unit residency requirements of Zhejiang University including the core computing science course work. However, some electives used to satisfy Zhejiang University requirements may not be allowed for SFU credit. The SFU DDP program advisor will have lists of Zhejiang elective courses that are pre-approved for SFU credit.

Block DDP credit will appear on the SFU transcript for course work completed at Zhejiang University. Students receive 40 units of block DDP credit for the core courses including 3 units of B-Sci credit, 6 units of Q credit and 3 units of B-Soc credit. All course plans include at least 6 required units of additional block credit including 3 units of B-Hum and 3 units of B-Soc credit.

Students required to take the additional Chinese language and culture courses receive up to 9 units of further block credit including 3 units of B-Hum and 3 units of B-Soc credit. Block credit may be assigned for additional pre-approved electives, while electives not on the approved list may be individually assessed.

Courses completed at Zhejiang University are not transfer units. They are marked as DDP units on the Simon Fraser University transcript.


Zhejiang University Students

After successful completion of the two-year Dual Degree program curriculum at Zhejiang University, Zhejiang University students receive 60 units of block DDP credit on the SFU transcript plus up to 6 additional units of assigned upper division CMPT credit. The block DDP credit includes 6 units of B-Hum credit, 6 units of B-Soc credit, 6 units of B-Sci credit, 6 units of B-undesignated and 6 units of Q credit. Zhejiang students must complete 6 units of W credit at Simon Fraser University.

Upper Division Requirements

All SFU and ZJU 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 (MACM 101 or (ENSC 251 and ENSC 252)).

Section Instructor Day/Time Location
D100 Keval Vora
Tu 8:30 AM – 10:20 AM
Th 8:30 AM – 9:20 AM
SWH 10041, Burnaby
SSCC 9002, Burnaby
D200 Harinder Khangura
Mo, We, Fr 11:30 AM – 12:20 PM
SUR 5140, Surrey
E100
Tu, Th 5:30 PM – 6:50 PM
AQ 3003, Burnaby
CMPT 307 - Data Structures and Algorithms (3)

Analysis and design of data structures for lists, sets, trees, dictionaries, and priority queues. A selection of topics chosen from sorting, memory management, graphs and graph algorithms. Prerequisite: CMPT 225, MACM 201, MATH 151 (or MATH 150), and MATH 232 or 240.

Section Instructor Day/Time Location
D100 Valentine Kabanets
Mo 10:30 AM – 11:20 AM
We, Fr 10:30 AM – 11:20 AM
WMC 3260, Burnaby
AQ 3005, Burnaby
D300 Valentine Kabanets
Mo 2:30 PM – 3:20 PM
We 2:30 PM – 3:20 PM
Fr 2:30 PM – 3:20 PM
AQ 3159, Burnaby
SSCC 9002, Burnaby
SSCK 9500, 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, (CMPT 150, ENSC 150 or CMPT 295) and MATH 151 (MATH 150). MATH 154 or 157 with a grade of at least B+ may be substituted for MATH 151 (MATH 150).

Section Instructor Day/Time Location
D100 Ryan Shea
Mo 10:30 AM – 12:20 PM
We 10:30 AM – 11:20 AM
AQ 3159, Burnaby
AQ 3159, Burnaby
D200 Balbir Gill
Mo, We, Fr 4:30 PM – 5:20 PM
BLU 9660, 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)).

Section Instructor Day/Time Location
D100 Martin Ester
Tu 2:30 PM – 4:20 PM
Th 2:30 PM – 3:20 PM
AQ 3159, Burnaby
WMC 3260, Burnaby
E100 Evgenia Ternovska
Th 5:30 PM – 8:20 PM
HCC 1800, Vancouver

Depth Requirement

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

Additional Requirements

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

Covers professional writing in computing science, including format conventions and technical reports. Examines group dynamics, including team leadership, dispute resolution and collaborative writing. Also covers research methods. Prerequisite: CMPT 275 or CMPT 276. Students with credit for CMPT 376 may not take this course for further credit. Writing.

Section Instructor Day/Time Location
D100 Milan Tofiloski
Mo 1:30 PM – 2:20 PM
We 1:30 PM – 2:20 PM
Fr 1:30 PM – 2:20 PM
AQ 3181, Burnaby
SSCC 9002, Burnaby
AQ 3181, Burnaby
D200 Milan Tofiloski
Mo, Fr 3:30 PM – 4:20 PM
We 3:30 PM – 4:20 PM
BLU 9660, Burnaby
SSCK 9500, Burnaby
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 3182, Burnaby
D101
We 2:30 PM – 3:20 PM
AQ 5016, Burnaby
D102
We 3:30 PM – 4:20 PM
AQ 5016, Burnaby
D103
We 4:30 PM – 5:20 PM
AQ 5016, Burnaby
D104
Th 9:30 AM – 10:20 AM
AQ 5018, Burnaby
D105
Th 10:30 AM – 11:20 AM
AQ 5030, Burnaby
D106
Th 11:30 AM – 12:20 PM
RCB 6125, Burnaby
D107
We 5:30 PM – 6:20 PM
AQ 5016, 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.

* CMPT 497 can be replaced by two approved CMPT 400 level courses (6 units)

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)). Students with credit for CMPT 410 may not take this course for further credit.

Section Instructor Day/Time Location
D100 James Delgrande
Mo 11:30 AM – 12:20 PM
We 11:30 AM – 12:20 PM
Fr 11:30 AM – 12:20 PM
AQ 3003, Burnaby
AQ 3159, Burnaby
AQ 3159, Burnaby
D200 Oliver Schulte
Mo, Fr 2:30 PM – 3:20 PM
We 2:30 PM – 3:20 PM
BLU 9660, Burnaby
AQ 3159, 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 or (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.

Section Instructor Day/Time Location
D100 James Delgrande
Mo 3:30 PM – 4:20 PM
We, Fr 3:30 PM – 4:20 PM
AQ 3005, Burnaby
RCB 8100, Burnaby
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, 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 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.

CMPT 419 - Special Topics in Artificial Intelligence (3)

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

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.

Section Instructor Day/Time Location
D100 Richard Zhang
Mo 3:30 PM – 4:20 PM
We 3:30 PM – 4:20 PM
Fr 3:30 PM – 4:20 PM
AQ 3159, Burnaby
AQ 3005, Burnaby
SWH 10041, 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.

Section Instructor Day/Time Location
D100 Parmit Kaur Chilana
Tu 2:30 PM – 4:20 PM
Th 2:30 PM – 3:20 PM
BLU 10021, Burnaby
BLU 10021, 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.

Section Instructor Day/Time Location
D100 Mark Drew
Mo, We, Fr 9:30 AM – 10:20 AM
AQ 3159, Burnaby
CMPT 461 - Image Synthesis (3)

Covers advanced topics and techniques in computer graphics with a focus on image synthesis. Topics include photorealistic rendering, advanced ray tracing, Monte Carlo methods, photon maps, radiosity, light fields, participating media, as well as tone reproduction. Prerequisite: CMPT 361, MACM 201 and 316. 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. 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 or permission of the instructor.

Section Instructor Day/Time Location
D100 KangKang Yin
Mo, We, Fr 11:30 AM – 12:20 PM
SECB 1011, Burnaby
CMPT 469 - Special Topics in Computer Graphics (3)

Current topics in computer graphics depending on faculty and student interest. Prerequisite: CMPT 361.

Section Instructor Day/Time Location
D100 Yasutaka Furukawa
Tu 1:30 PM – 2:20 PM
Th 12:30 PM – 2:20 PM
RCB 8100, Burnaby
BLU 10011, 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 (MACM 101 or (ENSC 251 and ENSC 252)).

Section Instructor Day/Time Location
D100 Keval Vora
Tu 8:30 AM – 10:20 AM
Th 8:30 AM – 9:20 AM
SWH 10041, Burnaby
SSCC 9002, Burnaby
D200 Harinder Khangura
Mo, We, Fr 11:30 AM – 12:20 PM
SUR 5140, Surrey
E100
Tu, Th 5:30 PM – 6:50 PM
AQ 3003, Burnaby
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.

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, (CMPT 150, ENSC 150 or CMPT 295) and MATH 151 (MATH 150). MATH 154 or 157 with a grade of at least B+ may be substituted for MATH 151 (MATH 150).

Section Instructor Day/Time Location
D100 Ryan Shea
Mo 10:30 AM – 12:20 PM
We 10:30 AM – 11:20 AM
AQ 3159, Burnaby
AQ 3159, Burnaby
D200 Balbir Gill
Mo, We, Fr 4:30 PM – 5:20 PM
BLU 9660, 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 150, CMPT 295 or ENSC 215) and CMPT 225.

Section Instructor Day/Time Location
D100 Thomas Shermer
Tu 11:30 AM – 1:20 PM
Th 11:30 AM – 12:20 PM
BLU 9660, Burnaby
BLU 9660, Burnaby
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. Students with credit for CMPT 401 before September 2008 may not take this course for further credit.

Section Instructor Day/Time Location
D100 Arrvindh Shriraman
We 1:30 PM – 2:20 PM
Fr 12:30 PM – 2:20 PM
SUR 3240, Surrey
SUR 3240, Surrey
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 250 or CMPT 295) and CMPT 300.

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.

Section Instructor Day/Time Location
D100 Qianping Gu
Mo, We 2:30 PM – 3:20 PM
Fr 2:30 PM – 3:20 PM
ASB 10900, Burnaby
RCB 8100, Burnaby
CMPT 479 - Special Topics in Computing Systems (3)

Current topics in computing systems depending on faculty and student interest. Prerequisite: CMPT 300.

Section Instructor Day/Time Location
D100 Keval Vora
Tu 12:30 PM – 1:20 PM
Th 12:30 PM – 2:20 PM
SWH 10051, Burnaby
AQ 4140, Burnaby
CMPT 499 - Special Topics in Computer Hardware (3)

Current topics in computer hardware depending on faculty and student interest. Prerequisite: CMPT/ENSC 250.

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)).

Section Instructor Day/Time Location
D100 Martin Ester
Tu 2:30 PM – 4:20 PM
Th 2:30 PM – 3:20 PM
AQ 3159, Burnaby
WMC 3260, Burnaby
E100 Evgenia Ternovska
Th 5:30 PM – 8:20 PM
HCC 1800, Vancouver
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. 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.

Section Instructor Day/Time Location
E100 Ke Wang
We 5:30 PM – 8:20 PM
HCC 1900, Vancouver
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.

CMPT 459 - Special Topics in Database Systems (3)

Current topics in database and information systems depending on faculty and student interest. Prerequisite: CMPT 354.

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.

Section Instructor Day/Time Location
E100 Lisa Tang
Th 5:30 PM – 8:20 PM
HCC 1700, Vancouver
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.

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 213 and (CMPT 276 or 275).

Section Instructor Day/Time Location
D100 Nick Sumner
Mo 12:30 PM – 2:20 PM
We 12:30 PM – 1:20 PM
SUR 5360, Surrey
SUR 5360, Surrey
D101 William Sumner
We 1:30 PM – 2:20 PM
SUR 5060, Surrey
D102 William Sumner
We 3:30 PM – 4:20 PM
SUR 5060, 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)).

Section Instructor Day/Time Location
D100 Thomas Shermer
Tu 4:30 PM – 5:20 PM
Th 3:30 PM – 5:20 PM
AQ 3003, Burnaby
WMC 3260, Burnaby
D200 Toby Donaldson
Mo, We, Fr 9:30 AM – 10:20 AM
SUR 5140, Surrey
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)).

Section Instructor Day/Time Location
D100 Rob Cameron
Mo, We, Fr 1:30 PM – 2:20 PM
BLU 9660, Burnaby
CMPT 473 - Software Quality Assurance (3)

Factors in software quality include functionality, reliability, usability, efficiency, maintainability, and portability. Techniques for assessing the quality of software with respect to such factors, and methods for improving the quality of both software products and software development processes. Prerequisite: CMPT 373.

Section Instructor Day/Time Location
D100 Nick Sumner
Mo 2:30 PM – 4:20 PM
We 2:30 PM – 3:20 PM
SUR 5140, Surrey
SUR 5140, 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 276, MACM 201 and 15 units of upper division courses. Recommended: co-op experience.

Section Instructor Day/Time Location
E100 Dan Ridinger
Tu 5:30 PM – 8:20 PM
AQ 3159, 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.

CMPT 489 - Special Topics in Programming Language (3)

Current topics in programming languages depending on faculty and student interest. Prerequisite: CMPT 383.

Section Instructor Day/Time Location
D100 Rob Cameron
Mo, We, Fr 9:30 AM – 10:20 AM
ASB 10900, Burnaby

Theoretical Computing Science

CMPT 307 - Data Structures and Algorithms (3)

Analysis and design of data structures for lists, sets, trees, dictionaries, and priority queues. A selection of topics chosen from sorting, memory management, graphs and graph algorithms. Prerequisite: CMPT 225, MACM 201, MATH 151 (or MATH 150), and MATH 232 or 240.

Section Instructor Day/Time Location
D100 Valentine Kabanets
Mo 10:30 AM – 11:20 AM
We, Fr 10:30 AM – 11:20 AM
WMC 3260, Burnaby
AQ 3005, Burnaby
D300 Valentine Kabanets
Mo 2:30 PM – 3:20 PM
We 2:30 PM – 3:20 PM
Fr 2:30 PM – 3:20 PM
AQ 3159, Burnaby
SSCC 9002, Burnaby
SSCK 9500, Burnaby
CMPT 308 - Computability and Complexity (3)

This course introduces students to formal models of computations such as Turing machines and RAMs. Notions of tractability and intractability are discusses both with respect to computability and resource requirements. The relationship of these concepts to logic is also covered. Prerequisite: MACM 201.

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. CMPT 307 and 308 are recommended.

Section Instructor Day/Time Location
D100 Andrei Bulatov
Mo 10:30 AM – 11:20 AM
We 10:30 AM – 11:20 AM
Fr 10:30 AM – 11:20 AM
AQ 3003, Burnaby
EDB 7618, Burnaby
AQ 3159, Burnaby
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.

CMPT 407 - Computational Complexity (3)

Machine models and their equivalences, complexity classes, separation theorems, reductions, Cook's theorem, NP-completeness, the polynomial time hierarchy, boolean circuit models and parallel complexity theory, other topics of interest to the students and instructor. Prerequisite: CMPT 307.

CMPT 408 - Theory of Computing Networks/Communications (3)

Network design parameters and goals, dynamic networks and permutations, routing in direct networks, structured communication in direct networks, other topics of interest to the students and instructor. Prerequisite: CMPT 307 and 371.

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

Current topics in theoretical computing science depending on faculty and student interest. Prerequisite: CMPT 307.

Section Instructor Day/Time Location
D100 Binay Bhattacharya
Mo 1:30 PM – 2:20 PM
We 1:30 PM – 2:20 PM
Fr 1:30 PM – 2:20 PM
WMC 3260, Burnaby
AQ 3003, Burnaby
EDB 7618, 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.

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.