Please note:
To view the Summer 2024 Academic Calendar, go to www.sfu.ca/students/calendar/2024/summer.html.
Computing Science Major
The school offers a general program leading to a bachelor of science (BSc) or bachelor of arts (BA) degree. This undergraduate degree is appropriate for many interdisciplinary areas. Visit www.cs.sfu.ca for information.
Admission Requirements
Entry into computing science programs is possible via
- direct admission from high school
- direct transfer from a recognized post-secondary institution, or combined transfer units from more than one post-secondary institution
- internal transfer from within Simon Fraser University
Admission is competitive. A separate admission average for each entry route is established each term, depending on spaces available and subject to the approval of the Dean of Applied Sciences. Admission averages are calculated over a set of courses satisfying particular breadth constraints.
For detailed university admission requirements, visit https://www.sfu.ca/students/admission/admission-requirements.html. For more detailed School of Computing Science admission information, visit https://www.sfu.ca/computing/prospective-students/undergraduate-students/admissions/advising.html, or send an email to asadvise@sfu.ca.
Internal Transfer
Internal transfer allows students to transfer, within Simon Fraser University, from one faculty to another.
Simon Fraser University students applying for School of Computing Science admission are selected on the basis of an admission Computing Related Grade Point Average (CRGPA) and Cumulative Grade Point Average (CGPA). The CRGPA is computed from all courses the student has taken from the following: (CMPT 120, 128 or 130), (CMPT 125, 129 or 135), CMPT 225, (CMPT 275 or 276), CMPT 295, CMPT 300, CMPT 307, MACM 101, (CMPT 210 or MACM 201), MACM 316. Applicants must have completed at least one MACM course and at least two CMPT courses from this list before applying. At least two courses used in the CRGPA calculation must have been taken at SFU.
No course may be included in the average if it is a duplicate of any previous course completed at Simon Fraser University or elsewhere.
The average for admission based on internal transfer is competitive and the school sets competitive averages each term.
The CRGPA minimum average is 2.67 and the CGPA minimum average is 2.40 - the competitive averages will never be below these minima.
Continuation Requirements
Students who do not maintain at least a 2.40 CGPA will be placed on probation within the School. Courses available to probationary students may be limited. Each term, these students must consult an advisor prior to enrollment and must achieve either a term 2.40 term GPA or an improved CGPA. Students who fail to do so may be removed from the program.
Reinstatement from probationary standing occurs when the CGPA improves to 2.40 or better and is maintained.
Graduation Requirements
A GPA of 2.00 must be obtained for upper division courses used to fulfil the program requirements.
Prerequisite Grade Requirement
Computing science course entry requires a grade of C- or better in each prerequisite course.
A minimum 2.40 CGPA is required for 200, 300 and 400 division CMPT courses. For complete information, contact an Applied Sciences Advisor.
Program Requirements
For specific program information and course plans consult an Applied Sciences Advisor.
Lower Division Requirements
Students must complete the courses listed below. It is suggested that students complete a recommended schedule of courses within the first two years.
Students complete all of
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 |
Harinder Khangura |
Sep 4 – Dec 3, 2024: Wed, 1:30–2:20 p.m.
Sep 4 – Dec 3, 2024: Fri, 12:30–2:20 p.m. |
Surrey Surrey |
E100 |
Cristina Eftenaru |
Sep 4 – Oct 11, 2024: Tue, 4:30–6:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 4:30–6:20 p.m. Sep 4 – Dec 3, 2024: Fri, 4:30–5:20 p.m. |
Burnaby Burnaby Burnaby |
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 |
Toby Donaldson |
Sep 4 – Dec 3, 2024: Mon, 2:30–4:20 p.m.
Oct 15, 2024: Tue, 2:30–4:20 p.m. Sep 4 – Dec 3, 2024: Wed, 2:30–3:20 p.m. |
Burnaby Burnaby Burnaby |
D300 |
Nicholas Vincent |
Sep 4 – Dec 3, 2024: Mon, 2:30–3:20 p.m.
Oct 15, 2024: Tue, 2:30–3:20 p.m. Sep 4 – Dec 3, 2024: Thu, 2:30–4:20 p.m. |
Burnaby Burnaby Burnaby |
D400 |
Brian Fraser |
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 11:30 a.m.–12:20 p.m.
Oct 15, 2024: Tue, 11:30 a.m.–12:20 p.m. |
Surrey Surrey |
D401 |
Brian Fraser |
Sep 4 – Dec 3, 2024: Wed, 2:30–3:20 p.m.
|
Surrey |
D402 |
Brian Fraser |
Sep 4 – Dec 3, 2024: Wed, 2:30–3:20 p.m.
|
Surrey |
D403 |
Brian Fraser |
Sep 4 – Dec 3, 2024: Wed, 3:30–4:20 p.m.
|
Surrey |
D404 |
Brian Fraser |
Sep 4 – Dec 3, 2024: Wed, 3:30–4:20 p.m.
|
Surrey |
D405 |
Brian Fraser |
Sep 4 – Dec 3, 2024: Wed, 4:30–5:20 p.m.
|
Surrey |
D406 |
Brian Fraser |
Sep 4 – Dec 3, 2024: Wed, 4:30–5:20 p.m.
|
Surrey |
D407 |
Brian Fraser |
Sep 4 – Dec 3, 2024: Wed, 5:30–6:20 p.m.
|
Surrey |
D408 |
Brian Fraser |
Sep 4 – Dec 3, 2024: Wed, 5:30–6:20 p.m.
|
Surrey |
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 |
---|---|---|---|
E100 |
Victor Cheung |
Sep 4 – Dec 3, 2024: Mon, 4:30–5:20 p.m.
Oct 15, 2024: Tue, 4:30–5:20 p.m. Sep 4 – Dec 3, 2024: Thu, 4:30–6:20 p.m. |
Burnaby Burnaby Burnaby |
E101 |
Victor Cheung |
Sep 4 – Dec 3, 2024: Mon, 12:30–1:20 p.m.
Oct 15, 2024: Tue, 12:30–1:20 p.m. |
Burnaby Burnaby |
E102 |
Victor Cheung |
Sep 4 – Dec 3, 2024: Mon, 12:30–1:20 p.m.
Oct 15, 2024: Tue, 12:30–1:20 p.m. |
Burnaby Burnaby |
E103 |
Victor Cheung |
Sep 4 – Dec 3, 2024: Mon, 1:30–2:20 p.m.
Oct 15, 2024: Tue, 1:30–2:20 p.m. |
Burnaby Burnaby |
E104 |
Victor Cheung |
Sep 4 – Dec 3, 2024: Mon, 1:30–2:20 p.m.
Oct 15, 2024: Tue, 1:30–2:20 p.m. |
Burnaby Burnaby |
E105 |
Victor Cheung |
Sep 4 – Dec 3, 2024: Mon, 2:30–3:20 p.m.
Oct 15, 2024: Tue, 2:30–3:20 p.m. |
Burnaby Burnaby |
E106 |
Victor Cheung |
Sep 4 – Dec 3, 2024: Mon, 2:30–3:20 p.m.
Oct 15, 2024: Tue, 2:30–3:20 p.m. |
Burnaby Burnaby |
E107 |
Victor Cheung |
Sep 4 – Dec 3, 2024: Mon, 3:30–4:20 p.m.
Oct 15, 2024: Tue, 3:30–4:20 p.m. |
Burnaby Burnaby |
E108 |
Victor Cheung |
Sep 4 – Dec 3, 2024: Mon, 3:30–4:20 p.m.
Oct 15, 2024: Tue, 3:30–4:20 p.m. |
Burnaby Burnaby |
An introduction to a UNIX-like application-OS interface from a programmer's perspective. Introduces operating systems and their interfaces for user-level programs. Students learn how to programmatically interact with an OS efficiently, correctly, and securely. Topics include: command-line tools, programming with memory, processes, threads, IPC, as well as basics of OS security. Prerequisite: (CMPT 125 or CMPT 135) and MACM 101, both with a minimum grade of C-. Students who have taken CMPT 300 first may not then take this course for further credit.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Steven Ko |
Sep 4 – Oct 11, 2024: Tue, 12:30–2:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 12:30–2:20 p.m. Sep 4 – Dec 3, 2024: Thu, 12:30–2:20 p.m. |
Burnaby Burnaby Burnaby |
D101 |
Steven Ko |
Sep 4 – Dec 3, 2024: Thu, 2:30–3:20 p.m.
|
Burnaby |
D102 |
Steven Ko |
Sep 4 – Dec 3, 2024: Thu, 2:30–3:20 p.m.
|
Burnaby |
D103 |
Steven Ko |
Sep 4 – Dec 3, 2024: Thu, 3:30–4:20 p.m.
|
Burnaby |
D104 |
Steven Ko |
Sep 4 – Dec 3, 2024: Thu, 3:30–4:20 p.m.
|
Burnaby |
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, CMPT 125 or CMPT 135, and (MATH 240 or MATH 232), all with a minimum grade of C-.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Sharan Vaswani |
Sep 4 – Oct 11, 2024: Tue, 8:30–10:20 a.m.
Oct 16 – Dec 3, 2024: Tue, 8:30–10:20 a.m. Sep 4 – Dec 3, 2024: Thu, 8:30–9:20 a.m. |
Burnaby Burnaby Burnaby |
D101 |
Sharan Vaswani |
Sep 4 – Dec 3, 2024: Fri, 11:30 a.m.–12:20 p.m.
|
Burnaby |
D102 |
Sharan Vaswani |
Sep 4 – Dec 3, 2024: Fri, 11:30 a.m.–12:20 p.m.
|
Burnaby |
D103 |
Sharan Vaswani |
Sep 4 – Dec 3, 2024: Fri, 12:30–1:20 p.m.
|
Burnaby |
D104 |
Sharan Vaswani |
Sep 4 – Dec 3, 2024: Fri, 12:30–1:20 p.m.
|
Burnaby |
D200 |
Sharan Vaswani |
Sep 4 – Oct 11, 2024: Tue, 11:30 a.m.–1:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 11:30 a.m.–1:20 p.m. Sep 4 – Dec 3, 2024: Thu, 11:30 a.m.–12:20 p.m. |
Burnaby Burnaby Burnaby |
D201 |
Sharan Vaswani |
Sep 4 – Oct 11, 2024: Tue, 4:30–5:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 4:30–5:20 p.m. |
Burnaby Burnaby |
D202 |
Sharan Vaswani |
Sep 4 – Oct 11, 2024: Tue, 4:30–5:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 4:30–5:20 p.m. |
Burnaby Burnaby |
D203 |
Sharan Vaswani |
Sep 4 – Oct 11, 2024: Tue, 5:30–6:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 5:30–6:20 p.m. |
Burnaby Burnaby |
D204 |
Sharan Vaswani |
Sep 4 – Oct 11, 2024: Tue, 5:30–6:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 5:30–6:20 p.m. |
Burnaby Burnaby |
Introduction to a variety of practical and important data structures and methods for implementation and for experimental and analytical evaluation. Topics include: stacks, queues and lists; search trees; hash tables and algorithms; efficient sorting; object-oriented programming; time and space efficiency analysis; and experimental evaluation. Prerequisite: (MACM 101 and (CMPT 125, CMPT 129 or CMPT 135)) or (ENSC 251 and ENSC 252), all with a minimum grade of C-. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
John Edgar |
Sep 4 – Oct 11, 2024: Tue, 8:30–10:20 a.m.
Oct 16 – Dec 3, 2024: Tue, 8:30–10:20 a.m. Sep 4 – Dec 3, 2024: Thu, 8:30–9:20 a.m. |
Burnaby Burnaby Burnaby |
D101 |
John Edgar |
Sep 4 – Dec 3, 2024: Wed, 9:30–10:20 a.m.
|
Burnaby |
D102 |
John Edgar |
Sep 4 – Dec 3, 2024: Wed, 9:30–10:20 a.m.
|
Burnaby |
D103 |
John Edgar |
Sep 4 – Dec 3, 2024: Wed, 10:30–11:20 a.m.
|
Burnaby |
D104 |
John Edgar |
Sep 4 – Dec 3, 2024: Wed, 10:30–11:20 a.m.
|
Burnaby |
D105 |
John Edgar |
Sep 4 – Dec 3, 2024: Wed, 11:30 a.m.–12:20 p.m.
|
Burnaby |
D106 |
John Edgar |
Sep 4 – Dec 3, 2024: Wed, 11:30 a.m.–12:20 p.m.
|
Burnaby |
D107 |
John Edgar |
Sep 4 – Dec 3, 2024: Wed, 12:30–1:20 p.m.
|
Burnaby |
D108 |
John Edgar |
Sep 4 – Dec 3, 2024: Wed, 12:30–1:20 p.m.
|
Burnaby |
D200 |
David Chou |
Sep 4 – Oct 11, 2024: Tue, 2:30–4:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 2:30–4:20 p.m. Sep 4 – Dec 3, 2024: Fri, 2:30–3:20 p.m. |
Surrey Surrey Surrey |
D201 |
David Chou |
Sep 4 – Dec 3, 2024: Thu, 8:30–9:20 a.m.
|
Surrey |
D202 |
David Chou |
Sep 4 – Dec 3, 2024: Thu, 8:30–9:20 a.m.
|
Surrey |
D203 |
David Chou |
Sep 4 – Dec 3, 2024: Thu, 9:30–10:20 a.m.
|
Surrey |
D204 |
David Chou |
Sep 4 – Dec 3, 2024: Thu, 9:30–10:20 a.m.
|
Surrey |
D205 |
David Chou |
Sep 4 – Dec 3, 2024: Thu, 10:30–11:20 a.m.
|
Surrey |
D206 |
David Chou |
Sep 4 – Dec 3, 2024: Thu, 10:30–11:20 a.m.
|
Surrey |
D207 |
David Chou |
Sep 4 – Dec 3, 2024: Thu, 11:30 a.m.–12:20 p.m.
|
Surrey |
D208 |
David Chou |
Sep 4 – Dec 3, 2024: Thu, 11:30 a.m.–12:20 p.m.
|
Surrey |
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 |
Sep 4 – Dec 3, 2024: Mon, 10:30–11:20 a.m.
Oct 15, 2024: Tue, 10:30–11:20 a.m. Sep 4 – Dec 3, 2024: Thu, 10:30 a.m.–12:20 p.m. |
Burnaby Burnaby Burnaby |
D200 |
Parsa Rajabi |
Sep 4 – Oct 11, 2024: Tue, 8:30–10:20 a.m.
Oct 16 – Dec 3, 2024: Tue, 8:30–10:20 a.m. Sep 4 – Dec 3, 2024: Fri, 8:30–9:20 a.m. |
Surrey Surrey Surrey |
D300 |
Steve Pearce |
Sep 4 – Dec 3, 2024: Mon, 12:30–1:20 p.m.
Oct 15, 2024: Tue, 12:30–1:20 p.m. Sep 4 – Dec 3, 2024: Wed, 12:30–2:20 p.m. |
Burnaby Burnaby Burnaby |
D400 |
Herbert Tsang |
Sep 4 – Dec 3, 2024: Mon, 4:30–7:20 p.m.
Oct 15, 2024: Tue, 4:30–7:20 p.m. |
Burnaby Burnaby |
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 |
Arrvindh Shriraman |
Sep 4 – Oct 11, 2024: Tue, 10:30 a.m.–12:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 10:30 a.m.–12:20 p.m. Sep 4 – Dec 3, 2024: Fri, 10:30–11:20 a.m. |
Burnaby Burnaby Burnaby |
D101 |
Arrvindh Shriraman |
Sep 4 – Dec 3, 2024: Wed, 1:30–2:20 p.m.
|
Burnaby |
D102 |
Arrvindh Shriraman |
Sep 4 – Dec 3, 2024: Wed, 1:30–2:20 p.m.
|
Burnaby |
D103 |
Arrvindh Shriraman |
Sep 4 – Dec 3, 2024: Wed, 2:30–3:20 p.m.
|
Burnaby |
D104 |
Arrvindh Shriraman |
Sep 4 – Dec 3, 2024: Wed, 2:30–3:20 p.m.
|
Burnaby |
Introduction to graph theory, trees, 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 |
Steve Pearce |
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 9:30–10:20 a.m.
Oct 15, 2024: Tue, 9:30–10:20 a.m. |
Burnaby Burnaby |
D101 |
Steve Pearce |
Sep 4 – Dec 3, 2024: Fri, 10:30–11:20 a.m.
|
Burnaby |
D102 |
Steve Pearce |
Sep 4 – Dec 3, 2024: Fri, 10:30–11:20 a.m.
|
Burnaby |
D103 |
Steve Pearce |
Sep 4 – Dec 3, 2024: Fri, 11:30 a.m.–12:20 p.m.
|
Burnaby |
D104 |
Steve Pearce |
Sep 4 – Dec 3, 2024: Fri, 11:30 a.m.–12:20 p.m.
|
Burnaby |
D105 |
Steve Pearce |
Sep 4 – Dec 3, 2024: Fri, 12:30–1:20 p.m.
|
Burnaby |
D106 |
Steve Pearce |
Sep 4 – Dec 3, 2024: Fri, 12:30–1:20 p.m.
|
Burnaby |
D107 |
Steve Pearce |
Sep 4 – Dec 3, 2024: Fri, 1:30–2:20 p.m.
|
Burnaby |
D108 |
Steve Pearce |
Sep 4 – Dec 3, 2024: Fri, 1:30–2:20 p.m.
|
Burnaby |
D200 |
Kay C Wiese |
Sep 4 – Dec 3, 2024: Thu, 2:30–5:20 p.m.
|
Burnaby |
D201 |
Kay C Wiese |
Sep 4 – Oct 11, 2024: Tue, 11:30 a.m.–12:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 11:30 a.m.–12:20 p.m. |
Burnaby Burnaby |
D202 |
Kay C Wiese |
Sep 4 – Oct 11, 2024: Tue, 11:30 a.m.–12:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 11:30 a.m.–12:20 p.m. |
Burnaby Burnaby |
D203 |
Kay C Wiese |
Sep 4 – Oct 11, 2024: Tue, 12:30–1:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 12:30–1:20 p.m. |
Burnaby Burnaby |
D204 |
Kay C Wiese |
Sep 4 – Oct 11, 2024: Tue, 12:30–1:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 12:30–1:20 p.m. |
Burnaby Burnaby |
D205 |
Kay C Wiese |
Sep 4 – Dec 3, 2024: Thu, 8:30–9:20 a.m.
|
Burnaby |
D206 |
Kay C Wiese |
Sep 4 – Dec 3, 2024: Thu, 8:30–9:20 a.m.
|
Burnaby |
D207 |
Kay C Wiese |
Sep 4 – Dec 3, 2024: Thu, 9:30–10:20 a.m.
|
Burnaby |
D208 |
Kay C Wiese |
Sep 4 – Dec 3, 2024: Thu, 9:30–10:20 a.m.
|
Burnaby |
E100 |
Harinder Khangura |
Sep 4 – Oct 11, 2024: Tue, 4:30–7:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 4:30–7:20 p.m. |
Surrey Surrey |
E101 |
Harinder Khangura |
Sep 4 – Dec 3, 2024: Mon, 2:30–3:20 p.m.
Oct 15, 2024: Tue, 2:30–3:20 p.m. |
Surrey Surrey |
E102 |
Harinder Khangura |
Sep 4 – Dec 3, 2024: Mon, 2:30–3:20 p.m.
Oct 15, 2024: Tue, 2:30–3:20 p.m. |
Surrey Surrey |
E103 |
Harinder Khangura |
Sep 4 – Dec 3, 2024: Mon, 3:30–4:20 p.m.
Oct 15, 2024: Tue, 3:30–4:20 p.m. |
Surrey Surrey |
E104 |
Harinder Khangura |
Sep 4 – Dec 3, 2024: Mon, 3:30–4:20 p.m.
Oct 15, 2024: Tue, 3:30–4:20 p.m. |
Surrey Surrey |
E105 |
Harinder Khangura |
Sep 4 – Dec 3, 2024: Mon, 4:30–5:20 p.m.
Oct 15, 2024: Tue, 4:30–5:20 p.m. |
Surrey Surrey |
E106 |
Harinder Khangura |
Sep 4 – Dec 3, 2024: Mon, 4:30–5:20 p.m.
Oct 15, 2024: Tue, 4:30–5:20 p.m. |
Surrey Surrey |
E107 |
Harinder Khangura |
Sep 4 – Dec 3, 2024: Mon, 1:30–2:20 p.m.
Oct 15, 2024: Tue, 1:30–2:20 p.m. |
Surrey Surrey |
E108 |
Harinder Khangura |
Sep 4 – Dec 3, 2024: Mon, 1:30–2:20 p.m.
Oct 15, 2024: Tue, 1:30–2:20 p.m. |
Surrey Surrey |
This is an introductory course in probability and statistics that is designed for Computer Science students. Mainly covers basic probability theory and statistical methods for designing and analyzing computing algorithms and systems. Topics include continuous probability distributions, random variables, multivariate normal distributions, parameter estimation and inference theory, as well as design and analysis of statistical studies, including hypothesis testing and presentation of statistical data. Prerequisite: CMPT 210 with a minimum grade of C-.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Gary Parker |
Sep 4 – Dec 3, 2024: Wed, 11:30 a.m.–12:20 p.m.
Sep 4 – Dec 3, 2024: Fri, 10:30 a.m.–12:20 p.m. |
Burnaby Burnaby |
D102 |
Gary Parker |
Sep 4 – Dec 3, 2024: Wed, 12:30–1:20 p.m.
|
Burnaby |
D103 |
Gary Parker |
Sep 4 – Dec 3, 2024: Wed, 1:30–2:20 p.m.
|
Burnaby |
and one of
Designed for students specializing in mathematics, physics, chemistry, computing science and engineering. Topics as for Math 151 with a more extensive review of functions, their properties and their graphs. Recommended for students with no previous knowledge of Calculus. In addition to regularly scheduled lectures, students enrolled in this course are encouraged to come for assistance to the Calculus Workshop (Burnaby), or Math Open Lab (Surrey). Prerequisite: Pre-Calculus 12 (or equivalent) with a grade of at least B+, or MATH 100 with a grade of at least B-, or achieving a satisfactory grade on the Simon Fraser University Calculus Readiness Test. Students with credit for either MATH 151, 154 or 157 may not take MATH 150 for further credit. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Jamie Mulholland |
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 8:30–9:20 a.m.
Oct 15, 2024: Tue, 8:30–9:20 a.m. |
Burnaby Burnaby |
D101 |
Sep 4 – Oct 11, 2024: Tue, 8:30–9:20 a.m.
Oct 16 – Dec 3, 2024: Tue, 8:30–9:20 a.m. |
Burnaby Burnaby |
|
D102 |
Sep 4 – Oct 11, 2024: Tue, 9:30–10:20 a.m.
Oct 16 – Dec 3, 2024: Tue, 9:30–10:20 a.m. |
Burnaby Burnaby |
|
D103 |
Sep 4 – Oct 11, 2024: Tue, 10:30–11:20 a.m.
Oct 16 – Dec 3, 2024: Tue, 10:30–11:20 a.m. |
Burnaby Burnaby |
|
D104 |
Sep 4 – Dec 3, 2024: Wed, 2:30–3:20 p.m.
|
Burnaby |
|
D105 |
Sep 4 – Dec 3, 2024: Wed, 3:30–4:20 p.m.
|
Burnaby |
|
D200 |
MacKenzie Carr |
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 8:30–9:20 a.m.
Oct 15, 2024: Tue, 8:30–9:20 a.m. |
Burnaby Burnaby |
D201 |
Sep 4 – Oct 11, 2024: Tue, 8:30–9:20 a.m.
Oct 16 – Dec 3, 2024: Tue, 8:30–9:20 a.m. |
Burnaby Burnaby |
|
D202 |
Sep 4 – Oct 11, 2024: Tue, 1:30–2:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 1:30–2:20 p.m. |
Burnaby Burnaby |
|
D203 |
Sep 4 – Oct 11, 2024: Tue, 2:30–3:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 2:30–3:20 p.m. |
Burnaby Burnaby |
|
D204 |
Sep 4 – Oct 11, 2024: Tue, 11:30 a.m.–12:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 11:30 a.m.–12:20 p.m. |
Burnaby Burnaby |
|
D206 |
Sep 4 – Oct 11, 2024: Tue, 4:30–5:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 4:30–5:20 p.m. |
Burnaby Burnaby |
|
D400 |
Natalia Kouzniak |
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 9:30–10:20 a.m.
Oct 15, 2024: Tue, 9:30–10:20 a.m. |
Surrey Surrey |
D401 |
Sep 4 – Dec 3, 2024: Thu, 12:30–1:20 p.m.
|
Surrey |
|
D402 |
Sep 4 – Dec 3, 2024: Thu, 1:30–2:20 p.m.
|
Surrey |
|
D403 |
Sep 4 – Dec 3, 2024: Thu, 2:30–3:20 p.m.
|
Surrey |
|
OP01 | TBD |
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 |
Jamie Mulholland |
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 8:30–9:20 a.m.
Oct 15, 2024: Tue, 8:30–9:20 a.m. |
Burnaby Burnaby |
D200 |
MacKenzie Carr |
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 8:30–9:20 a.m.
Oct 15, 2024: Tue, 8:30–9:20 a.m. |
Burnaby Burnaby |
D400 |
Natalia Kouzniak |
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 9:30–10:20 a.m.
Oct 15, 2024: Tue, 9:30–10:20 a.m. |
Surrey Surrey |
OP01 | TBD | ||
OP04 | TBD |
Designed for students specializing in the life sciences. Topics include: limits, growth rate and the derivative; elementary functions, optimization and approximation methods, and their applications, integration, and differential equations; mathematical models of biological processes and their implementation and analysis using software. Prerequisite: Pre-Calculus 12 (or equivalent) with a grade of at least B, or MATH 100 with a grade of at least C-, or achieving a satisfactory grade on the Simon Fraser University Calculus Readiness Test. Students with credit for either MATH 150, 151 or 157 may not take MATH 154 for further credit. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Cedric Chauve |
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 8:30–9:20 a.m.
Oct 15, 2024: Tue, 8:30–9:20 a.m. |
Burnaby Burnaby |
D400 |
Ladislav Stacho |
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 9:30–10:20 a.m.
Oct 15, 2024: Tue, 9:30–10:20 a.m. |
Surrey Surrey |
OP01 | TBD | ||
OP02 | TBD |
Designed for students specializing in business or the social sciences. Topics include: limits, growth rate and the derivative; logarithmic, exponential and trigonometric functions and their application to business, economics, optimization and approximation methods; introduction to functions of several variables with emphasis on partial derivatives and extrema. Prerequisite: Pre-Calculus 12 (or equivalent) with a grade of at least B, or MATH 100 with a grade of at least C, or achieving a satisfactory grade on the Simon Fraser University Calculus Readiness Test. Students with credit for either MATH 150, 151 or 154 may not take MATH 157 for further credit. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Katrina Honigs Katrina Honigs |
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 11:30 a.m.–12:20 p.m.
Oct 15, 2024: Tue, 11:30 a.m.–12:20 p.m. |
Burnaby Burnaby |
D400 |
Tamon Stephen |
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 12:30–1:20 p.m.
Oct 15, 2024: Tue, 12:30–1:20 p.m. |
Surrey Surrey |
OP01 | TBD | ||
OP02 | TBD |
and one of
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 |
Lyn Ge |
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 8:30–9:20 a.m.
Oct 15, 2024: Tue, 8:30–9:20 a.m. |
Burnaby Burnaby |
OP01 | TBD |
Designed for students specializing in the life sciences. Topics include: vectors and matrices, partial derivatives, multi-dimensional integrals, systems of differential equations, compartment models, graphs and networks, and their applications to the life sciences; mathematical models of multi-component biological processes and their implementation and analysis using software. Prerequisite: MATH 150, 151 or 154, with a minimum grade of C-; or MATH 157 with a grade of at least B. Students with credit for MATH 152 or 158 may not take this course for further credit. Quantitative.
Designed for students specializing in business or the social sciences. Topics include: theory of integration, integration techniques, applications of integration; functions of several variables with emphasis on double and triple integrals and their applications; introduction to differential equations with emphasis on some special first-order equations and their applications; sequences and series. Prerequisite: MATH 150 or 151 or 154 or 157, with a minimum grade of C-. Students with credit for MATH 152 or 155 may not take MATH 158 for further credit. Quantitative.
and one of
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 |
Saieed Akbari Feyzaabaadi |
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 11:30 a.m.–12:20 p.m.
Oct 15, 2024: Tue, 11:30 a.m.–12:20 p.m. |
Burnaby Burnaby |
D400 |
Vijaykumar Singh |
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 1:30–2:20 p.m.
Oct 15, 2024: Tue, 1:30–2:20 p.m. |
Surrey Surrey |
OP01 | TBD | ||
OP02 |
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 1:30–2:20 p.m.
|
|
Linear equations, matrices, determinants. Real and abstract vector spaces, subspaces and linear transformations; basis and change of basis. Complex numbers. Eigenvalues and eigenvectors; diagonalization. Inner products and orthogonality; least squares problems. Applications. Subject is presented with an abstract emphasis and includes proofs of the basic theorems. Prerequisite: MATH 150 or 151 or MACM 101, with a minimum grade of C-; or MATH 154 or 157, both with a grade of at least B. Students with credit for MATH 232 cannot take this course for further credit. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Michael Monagan |
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 11:30 a.m.–12:20 p.m.
Oct 15, 2024: Tue, 11:30 a.m.–12:20 p.m. |
Burnaby Burnaby |
OP01 | TBD |
** with a grade of at least B+, and with school permission.
Upper Division Requirements
Students complete at least 45 upper division units including
Covers professional writing in computing science, including format conventions and technical reports. The basis for ethical decision-making and the methodology for reaching ethical decisions concerning computing matters will be studied. Students will survey and write research papers, and both individual and group work will be emphasized. Prerequisite: CMPT 105W and (CMPT 275 or CMPT 276), with a minimum grade of C-. Writing.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Angelica Lim |
Sep 4 – Dec 3, 2024: Wed, 2:30–5:20 p.m.
|
Burnaby |
E100 |
Felix Lo |
Sep 4 – Dec 3, 2024: Wed, 5:30–8:20 p.m.
|
Burnaby |
Students should consult an academic advisor before commencing upper division requirements.
Elective Courses
In addition to the courses listed above, students should consult an academic advisor to plan the remaining required elective courses.
Breadth Requirement
Five courses from five of the six Table I areas of concentration (see below) must be completed including
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 |
Andrei Bulatov |
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 12:30–1:20 p.m.
Oct 15, 2024: Tue, 12:30–1:20 p.m. |
Burnaby Burnaby |
D200 |
David Mitchell |
Sep 4 – Oct 11, 2024: Tue, 8:30–10:20 a.m.
Oct 16 – Dec 3, 2024: Tue, 8:30–10:20 a.m. Sep 4 – Dec 3, 2024: Fri, 8:30–9:20 a.m. |
Burnaby Burnaby Burnaby |
CMPT 354 is also recommended.
Depth Requirement
Twelve units of additional CMPT courses numbered CMPT 400 or above must be completed (excluding CMPT 415, 416 and 498, which may be included by special permission).
BSc Credential
For a BSc computing science degree, the following additional requirements must be met.
- two additional courses chosen from Table I, Table II or Table III
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 |
Ralf Wittenberg |
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 1:30–2:20 p.m.
Oct 15, 2024: Tue, 1:30–2:20 p.m. |
Burnaby Burnaby |
D101 |
Sep 4 – Dec 3, 2024: Wed, 2:30–3:20 p.m.
|
Burnaby |
|
D102 |
Sep 4 – Dec 3, 2024: Wed, 3:30–4:20 p.m.
|
Burnaby |
|
D103 |
Sep 4 – Dec 3, 2024: Wed, 4:30–5:20 p.m.
|
Burnaby |
|
D104 |
Sep 4 – Dec 3, 2024: Thu, 9:30–10:20 a.m.
|
Burnaby |
|
D105 |
Sep 4 – Dec 3, 2024: Thu, 10:30–11:20 a.m.
|
Burnaby |
|
D106 |
Sep 4 – Dec 3, 2024: Thu, 11:30 a.m.–12:20 p.m.
|
Burnaby |
|
D107 |
Sep 4 – Dec 3, 2024: Wed, 5:30–6:20 p.m.
|
Burnaby |
|
D108 |
Sep 4 – Dec 3, 2024: Thu, 4:30–5:20 p.m.
|
Burnaby |
BEd Credential
For a major in computing science in conjunction with a BEd program as offered by the Faculty of Education, one additional CMPT course chosen from Table I or Table II must be completed, to total at least 30 upper division units in CMPT courses.
BA Credential
For a BA computing science degree within the Faculty of Applied Sciences, the following additional requirements must be met.
one additional CMPT upper division course chosen from Table I or Table II must be completed bringing the total upper division units in CMPT courses to a minimum of 30 units.
a concentration of 15 units in a Faculty of Arts and Social Sciences discipline (department) including at least six units of upper division credit.
Areas of Concentration
The primary upper division requirements are structured according to breadth, depth and credential requirements as listed above.
As part of a major program, students may complete one or more areas of concentration from the six areas listed in Table I. To complete a concentration, students complete the major requirements, including four courses in the corresponding Area as listed in Table I, two of which must be at the 400 division. Courses used to meet the requirements of a concentration may also be used to meet other program requirements.
Table I – Computing Science Concentrations
Artificial Intelligence
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 |
Angelica Lim |
Sep 4 – Oct 11, 2024: Tue, 10:30 a.m.–12:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 10:30 a.m.–12:20 p.m. Sep 4 – Dec 3, 2024: Fri, 10:30–11:20 a.m. |
Burnaby Burnaby Burnaby |
D200 |
Ahmadreza Nezami |
Sep 4 – Dec 3, 2024: Thu, 8:30–11:20 a.m.
|
Burnaby |
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.
Section | Instructor | Day/Time | Location |
---|---|---|---|
BLS1 |
Ghassan Hamarneh |
Sep 4 – Dec 3, 2024: Wed, 1:30–2:20 p.m.
|
Burnaby |
Machine Learning (ML) is the study of computer algorithms that improve automatically through experience. This course introduces students to the theory and practice of machine learning, and covers mathematical foundations, models such as (generalized) linear models, kernel methods and neural networks, loss functions for classification and regression, and optimization methods. Prerequisite: CMPT 310 and MACM 316, both with a minimum grade of C-. Students with credit for CMPT 419 under the title "Machine Learning" may not take this course for further credit.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Steven Bergner |
Sep 4 – Oct 11, 2024: Tue, 10:30–11:20 a.m.
Oct 16 – Dec 3, 2024: Tue, 10:30–11:20 a.m. Sep 4 – Dec 3, 2024: Thu, 9:30–11:20 a.m. |
Burnaby Burnaby Burnaby |
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.
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.
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 |
Sep 4 – Dec 3, 2024: Thu, 11:30 a.m.–2:20 p.m.
|
Burnaby |
Current topics in artificial intelligence depending on faculty and student interest.
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.
Visual and Interactive Computing
Provides a unified introduction to the fundamentals of computer graphics and computer vision (visual computing). Topics include graphics pipelines, sampling and aliasing, geometric transformations, projection and camera models, meshing, texturing, color theory, image filtering and registration, shading and illumination, raytracing, rasterization, animation, optical flow, and game engines. Prerequisite: CMPT 225 and MATH 232 or 240, all with a minimum grade of C-.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Xue Bin Jason Peng Yagiz Aksoy |
Sep 4 – Dec 3, 2024: Wed, 3:30–4:20 p.m.
Sep 4 – Dec 3, 2024: Fri, 2:30–4:20 p.m. |
Burnaby Burnaby |
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 and CMPT 263, both with a minimum grade of C-.
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 |
---|---|---|---|
E100 |
Jiangchuan Liu Jiangchuan Liu |
Sep 4 – Dec 3, 2024: Mon, 4:30–5:20 p.m.
Oct 15, 2024: Tue, 4:30–5:20 p.m. Sep 4 – Dec 3, 2024: Wed, 4:30–6:20 p.m. |
Burnaby Burnaby Burnaby |
Computational approaches to image and video understanding in relation to theories, the operation of the human visual system, and practical application areas such as robotics. Topics include image classification, object detection, image segmentation based mostly on deep neural network and to some extent classical techniques, and 3D reconstruction. Also covers state-of-the-art deep neural architectures for computer vision applications, such as metric learning, generative adversarial networks, and recurrent neural networks. Prerequisite: CMPT 361 and MATH 152, both with a minimum grade of C-.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Yagiz Aksoy |
Sep 4 – Dec 3, 2024: Mon, 10:30 a.m.–12:20 p.m.
Oct 15, 2024: Tue, 10:30 a.m.–12:20 p.m. Sep 4 – Dec 3, 2024: Wed, 10:30–11:20 a.m. |
Burnaby Burnaby Burnaby |
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 intrinsic decomposition, monocular depth estimation, edit propagation, camera geometry and optics, computational apertures, advanced image filtering operations, high-dynamic range, image blending, texture synthesis and inpainting. Prerequisite: CMPT 361 with a minimum grade of C-.
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.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Richard Zhang |
Sep 4 – Dec 3, 2024: Wed, 11:30 a.m.–12:20 p.m.
Sep 4 – Dec 3, 2024: Fri, 10:30 a.m.–12:20 p.m. |
Burnaby Burnaby |
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.
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-.
Computing Systems
A course teaching the internals of modern operating systems. Topics consist of kernel components of modern OSes, such as system calls, device drivers, virtual memory, scheduling, file systems, synchronization for multi-core, and memory ordering. Prerequisite: CMPT 225, (CMPT 295 or ENSC 254), and (CMPT 201 or ENSC 351), all with a minimum grade of C-.
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 or STAT 271), all with a minimum grade of C-.
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 |
Sep 4 – Dec 3, 2024: Mon, 10:30 a.m.–12:20 p.m.
Oct 15, 2024: Tue, 10:30 a.m.–12:20 p.m. Sep 4 – Dec 3, 2024: Wed, 10:30–11:20 a.m. |
Burnaby Burnaby Burnaby |
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-.
Starting from cybersecurity principles, students will learn to protect systems from attacks on data confidentiality, integrity, system availability, and user privacy. By modeling system security, students will learn to find weaknesses in software, hardware, networks, data storage systems, and the Internet, and identify current security practices to protect these systems. Prerequisite: CMPT 300 with a minimum grade of C-.
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 |
Alaa Alameldeen |
Sep 4 – Oct 11, 2024: Tue, 10:30–11:20 a.m.
Oct 16 – Dec 3, 2024: Tue, 10:30–11:20 a.m. Sep 4 – Dec 3, 2024: Thu, 9:30–11:20 a.m. |
Burnaby Burnaby Burnaby |
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-.
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 |
Sep 4 – Oct 11, 2024: Tue, 1:30–2:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 1:30–2:20 p.m. Sep 4 – Dec 3, 2024: Thu, 12:30–2:20 p.m. |
Burnaby Burnaby Burnaby |
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 |
Saba Alimadadi Jani |
Sep 4 – Dec 3, 2024: Thu, 2:30–5:20 p.m.
|
Burnaby |
D200 |
Deepak Rout |
Sep 4 – Dec 3, 2024: Wed, 4:30–7:20 p.m.
|
Burnaby |
D300 |
Deepak Rout |
Sep 4 – Oct 11, 2024: Tue, 4:30–7:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 4:30–7:20 p.m. |
Burnaby Burnaby |
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
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 (BUS 232, STAT 201, STAT 203, STAT 205, STAT 270, STAT 271, ENSC 280, MSE 210, or SEE 241), with a minimum grade of C-.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Gregory Baker Rob Cameron |
Sep 4 – Dec 3, 2024: Mon, 2:30–4:20 p.m.
Oct 15, 2024: Tue, 2:30–4:20 p.m. Sep 4 – Dec 3, 2024: Wed, 2:30–3:20 p.m. |
Burnaby Burnaby Burnaby |
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 |
---|---|---|---|
E100 |
Martin Ester |
Sep 4 – Dec 3, 2024: Mon, 4:30–5:20 p.m.
Oct 15, 2024: Tue, 4:30–6:20 p.m. Sep 4 – Dec 3, 2024: Thu, 4:30–6:20 p.m. |
Burnaby Burnaby Burnaby |
Teaches students how to design and implement smartphone applications. Topics include development environment, phone emulator, key programming paradigms, UI design including views, fragments, and activities, data persistence, threads, services, embedded sensors, and location based services (e.g., Google Maps). Concepts are reinforced through programming assignments and group projects. Prerequisite: CMPT 225 with a minimum grade of C-. Students with credit for IAT 359 may not take this course for further credit.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Xingdong Yang |
Sep 4 – Dec 3, 2024: Fri, 2:30–5:20 p.m.
|
Burnaby |
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.
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.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Kay C Wiese |
Sep 4 – Dec 3, 2024: Mon, Wed, 3:30–4:50 p.m.
Oct 15, 2024: Tue, 3:30–4:50 p.m. |
Burnaby Burnaby |
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 |
---|---|---|---|
E100 |
Ke Wang |
Sep 4 – Oct 11, 2024: Tue, 4:30–7:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 4:30–7:20 p.m. |
Burnaby Burnaby |
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-.
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
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 |
Sep 4 – Dec 3, 2024: Mon, 10:30 a.m.–12:20 p.m.
Oct 15, 2024: Tue, 10:30 a.m.–12:20 p.m. Sep 4 – Dec 3, 2024: Wed, 10:30–11:20 a.m. |
Surrey Surrey Surrey |
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 |
Sep 4 – Oct 11, 2024: Tue, 1:30–2:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 1:30–2:20 p.m. Sep 4 – Dec 3, 2024: Thu, 12:30–2:20 p.m. |
Burnaby Burnaby Burnaby |
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-.
Methods for software quality assurance focusing on reliability and security. Test coverage and test data adequacy including combinatorial testing. MC/DC testing, and mutation testing. Security engineering techniques for vulnerability discovery and mitigation including fuzz testing. Testing techniques will be applied to the assessment of external open source software. Prerequisite: (CMPT 275 or CMPT 276) with a minimum grade of C- and 15 upper division CMPT units.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
William Sumner |
Sep 4 – Dec 3, 2024: Mon, 12:30–2:20 p.m.
Oct 15, 2024: Tue, 12:30–2:20 p.m. Sep 4 – Dec 3, 2024: Wed, 12:30–1:20 p.m. |
Surrey Surrey Surrey |
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 |
---|---|---|---|
E100 |
Dan Ridinger |
Sep 4 – Dec 3, 2024: Wed, 4:30–7:20 p.m.
|
Burnaby |
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 |
Sep 4 – Dec 3, 2024: Mon, 8:30–10:20 a.m.
Oct 15, 2024: Tue, 8:30–10:20 a.m. Sep 4 – Dec 3, 2024: Wed, 8:30–9:20 a.m. |
Burnaby Burnaby Burnaby |
Theoretical Computing Science
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 |
Andrei Bulatov |
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 12:30–1:20 p.m.
Oct 15, 2024: Tue, 12:30–1:20 p.m. |
Burnaby Burnaby |
D200 |
David Mitchell |
Sep 4 – Oct 11, 2024: Tue, 8:30–10:20 a.m.
Oct 16 – Dec 3, 2024: Tue, 8:30–10:20 a.m. Sep 4 – Dec 3, 2024: Fri, 8:30–9:20 a.m. |
Burnaby Burnaby Burnaby |
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-.
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.
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 |
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 1:30–2:20 p.m.
Oct 15, 2024: Tue, 1:30–2:20 p.m. |
Burnaby Burnaby |
Mathematical preliminaries; convex hull algorithms; intersection problems; closest-point problems and their applications. Prerequisite: CMPT 307 with a minimum grade of C-.
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.
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 |
Sharan Vaswani |
Sep 4 – Oct 11, 2024: Tue, 1:30–2:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 1:30–2:20 p.m. Sep 4 – Dec 3, 2024: Thu, 12:30–2:20 p.m. |
Burnaby Burnaby Burnaby |
An introductory treatment of quantum computing with an emphasis on quantum algorithms. Topics include the gate model of quantum computation focusing on the design and implementation of quantum algorithms. Basic knowledge of algorithms and complexity will be an asset, but not required. No prior knowledge of physics or quantum mechanics is necessary, only a solid background in linear algebra. Prerequisite: MATH 232 or MATH 240, with a minimum grade of C-. Students who have taken CMPT 409 in Summer 2020 and 2021 under the title "Intro to Quantum Computing" may not take this course for further credit.
Languages, grammars, automata and their applications to natural and formal language processing. Prerequisite: MACM 201. Quantitative.
Table II – Application Courses
Currently no courses.
Table III – Computing Mathematics Courses
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 |
Ralf Wittenberg |
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 1:30–2:20 p.m.
Oct 15, 2024: Tue, 1:30–2:20 p.m. |
Burnaby Burnaby |
D101 |
Sep 4 – Dec 3, 2024: Wed, 2:30–3:20 p.m.
|
Burnaby |
|
D102 |
Sep 4 – Dec 3, 2024: Wed, 3:30–4:20 p.m.
|
Burnaby |
|
D103 |
Sep 4 – Dec 3, 2024: Wed, 4:30–5:20 p.m.
|
Burnaby |
|
D104 |
Sep 4 – Dec 3, 2024: Thu, 9:30–10:20 a.m.
|
Burnaby |
|
D105 |
Sep 4 – Dec 3, 2024: Thu, 10:30–11:20 a.m.
|
Burnaby |
|
D106 |
Sep 4 – Dec 3, 2024: Thu, 11:30 a.m.–12:20 p.m.
|
Burnaby |
|
D107 |
Sep 4 – Dec 3, 2024: Wed, 5:30–6:20 p.m.
|
Burnaby |
|
D108 |
Sep 4 – Dec 3, 2024: Thu, 4:30–5:20 p.m.
|
Burnaby |
Data structures and algorithms for mathematical objects. Topics include long integer arithmetic, computing polynomial greatest common divisors, the fast Fourier transform, Hensel's lemma and p-adic methods, differentiation and simplification of formulae, and polynomial factorization. Students will use a computer algebra system such as Maple for calculations and programming. Prerequisite: CMPT 307 or ((MATH 340 or MATH 342) and (CMPT 225 or MACM 204)). Quantitative.
An introduction to the subject of modern cryptography. Classical methods for cryptography and how to break them, the data encryption standard (DES), the advanced encryption standard (AES), the RSA and ElGammal public key cryptosystems, digital signatures, secure hash functions and pseudo-random number generation. Algorithms for computing with long integers including the use of probabilistic algorithms. Prerequisite: (CMPT 201 or 225) and one of (MATH 340 or 332 or 342); or CMPT 405. Students with credit for MACM 498 between Fall 2003 and Spring 2006 may not take this course for further credit. Quantitative.
Linear programming modelling. The simplex method and its variants. Duality theory. Post-optimality analysis. Applications and software. Additional topics may include: game theory, network simplex algorithm, and convex sets. Prerequisite: MATH 150, 151, 154, or 157 and MATH 240 or 232, all with a minimum grade of C-. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Luis Goddyn |
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 1:30–2:20 p.m.
Oct 15, 2024: Tue, 1:30–2:20 p.m. |
Burnaby Burnaby |
D101 |
Sep 4 – Oct 11, 2024: Tue, 2:30–3:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 2:30–3:20 p.m. |
Burnaby Burnaby |
|
D102 |
Sep 4 – Oct 11, 2024: Tue, 3:30–4:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 3:30–4:20 p.m. |
Burnaby Burnaby |
|
D103 |
Sep 4 – Oct 11, 2024: Tue, 4:30–5:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 4:30–5:20 p.m. |
Burnaby Burnaby |
The integers, fundamental theorem of arithmetic. Equivalence relations, modular arithmetic. Univariate polynomials, unique factorization. Rings and fields. Units, zero divisors, integral domains. Ideals, ring homomorphisms. Quotient rings, the ring isomorphism theorem. Chinese remainder theorem. Euclidean, principal ideal, and unique factorization domains. Field extensions, minimal polynomials. Classification of finite fields. Prerequisite: MATH 240 with a minimum grade of C- or MATH 232 with a grade of at least B. Students with credit for MATH 332 may not take this course for further credit. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Nathan Ilten |
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 11:30 a.m.–12:20 p.m.
Oct 15, 2024: Tue, 11:30 a.m.–12:20 p.m. |
Burnaby Burnaby |
D102 |
Sep 4 – Oct 11, 2024: Tue, 3:30–4:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 3:30–4:20 p.m. |
Burnaby Burnaby |
|
D103 |
Sep 4 – Oct 11, 2024: Tue, 4:30–5:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 4:30–5:20 p.m. |
Burnaby Burnaby |
|
D104 |
Sep 4 – Oct 11, 2024: Tue, 5:30–6:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 5:30–6:20 p.m. |
Burnaby Burnaby |
Structures and algorithms, generating elementary combinatorial objects, counting (integer partitions, set partitions, Catalan families), backtracking algorithms, branch and bound, heuristic search algorithms. Prerequisite: MACM 201 with a minimum grade of C-. Recommended: Knowledge of a programming language. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Luis Goddyn |
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 9:30–10:20 a.m.
Oct 15, 2024: Tue, 9:30–10:20 a.m. |
Burnaby Burnaby |
D101 |
Sep 4 – Oct 11, 2024: Tue, 12:30–1:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 12:30–1:20 p.m. |
Burnaby Burnaby |
|
D102 |
Sep 4 – Oct 11, 2024: Tue, 1:30–2:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 1:30–2:20 p.m. |
Burnaby Burnaby |
Other Courses Per Department Approval
The following courses may be counted in one of the above tables with permission of the school.
Special topics in computing science at the 300 level. Topics that are of current interest or are not covered in regular curriculum will be offered from time to time depending on availability of faculty and student interest. Prerequisite: CMPT 225 with a minimum grade of C-. Additional prerequisites to be determined by the instructor subject to approval by the undergraduate program chair.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Uwe Glaesser |
Sep 4 – Dec 3, 2024: Mon, 2:30–3:20 p.m.
Oct 15, 2024: Tue, 2:30–3:20 p.m. Sep 4 – Dec 3, 2024: Thu, 2:30–4:20 p.m. |
Burnaby Burnaby Burnaby |
To be individually arranged. Prerequisite: Permission of Instructor and School.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Nicholas Vincent |
TBD | |
D200 |
Mo Chen |
TBD | |
D300 |
Anders Miltner |
TBD | |
D400 |
Brian Fraser |
TBD | |
D500 |
Parmit Kaur Chilana |
TBD | |
D600 |
Steven Ko |
TBD | |
D700 |
Bobby Chan |
TBD | |
D800 |
Martin Ester |
TBD | |
D900 |
Ouldooz Baghban Karimi |
TBD |
Independent study in topics selected in consultation with the supervising instructor(s) that are not covered by existing course offerings. Students must submit a proposal to the undergraduate chair, including the name and signature of the supervising faculty member(s). The proposal must include details of the material to be covered and the work to be submitted. Prerequisite: Students must have completed 90 units, including 15 units of upper division CMPT courses, and have a GPA of at least 3.00. The proposal must be submitted to the undergraduate chair at least 15 days in advance of the term. The proposal must be signed by the supervisor(s) and the undergraduate chair.
Students will select one project to be completed in their final year of study. Each student must complete a project report and make a project presentation. The project may include: a research survey, a project implementation, a research paper/report. Prerequisite: Submission of a satisfactory capstone project proposal.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 | TBD |
Students must submit a proposal to the Undergraduate Chair, including the name and signature of the supervising faculty member(s). Students must complete a project report and make a project presentation. This course can satisfy the research project requirements for Computing Science honours students. Prerequisite: Students must have completed 90 units, including 15 units of upper division CMPT courses, and have a GPA of at least 3.00. The proposal must be submitted to the Undergraduate Chair at least 15 days in advance of the term. The proposal must be signed by the supervisor(s) and the undergraduate chair.
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; two courses (minimum three units each) |
|
Q - Quantitative |
6 |
Q courses may be lower or upper division; two courses (total six units or more) | |
B - Breadth |
18 |
Designated Breadth |
Must be outside the student's major subject, and may be lower or upper division: Two courses (total six units or more) Social Sciences: B-Soc |
6 |
Additional Breadth |
Two courses (total six units or more) outside the student's major subject (may or may not be B-designated courses, and will likely help fulfil individual degree program requirements). Students choosing to complete a joint major, joint honours, double major, two extended minors, an extended minor and a minor, or two minors may satisfy the breadth requirements (designated or not designated) with courses completed in either one or both program areas. |
Residency Requirements and Transfer Credit
- At least half of the program's total units must be earned through Simon Fraser University study.
- At least two thirds of the program's total upper division units must be earned through Simon Fraser University study.
Please see Faculty of Applied Sciences Residency Requirements for further information.
Co-operative Education and Work Experience
All computing science students are strongly encouraged to explore the opportunities that Work Integrated Learning (WIL) can offer them. Please contact a computing science co-op advisor during your first year of studies to ensure that you have all of the necessary courses and information to help plan for a successful co-op experience.