Please note:
To view the Summer 2024 Academic Calendar, go to www.sfu.ca/students/calendar/2024/summer.html.
School of Computing Science | Faculty of Applied Sciences Simon Fraser University Calendar | Fall 2024
Geographic Information Science Major
Admission to this program has been suspended effective Summer 2024.
The School of Computing Science and the Department of Geography offer a major leading to a bachelor of science degree.
Admission Requirements
Admission to this program has been suspended effective Summer 2024.
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 more information, contact an Applied Sciences Advisor.
Internal Transfer
Internal transfer allows students to transfer, within Simon Fraser University, from one faculty to another.
Simon Fraser University students applying for School of Computing Science admission are selected on the basis of an admission Computing Related Grade Point Average (CRGPA) and Cumulative Grade Point Average (CGPA). The CRGPA is computed from all courses the student has taken from the following: (CMPT 120, 128 or 130), (CMPT 125, 129 or 135), CMPT 225, (CMPT 275 or 276), CMPT 295, CMPT 300, CMPT 307, MACM 101, (MACM 201 or CMPT 210), 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
In addition to university minimum overall CGPA and UDGPA requirements, a minimum program CGPA and UDGPA of 2.00 must be obtained for 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
Lower Division Requirements
Students must complete all of the following
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 |
A geographical introduction to how humans shape our world, with attention also given to how it shapes us. Themes may include: culture, economic activities, environmental change, globalization, politics, population, resources, and urbanization. Breadth-Humanities/Social Sciences.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Scott Peters |
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 |
OL01 |
Leanne Roderick |
Online |
An introduction to landforms, climates, soils and vegetation; their origins, distributions, interrelationships and roles in the ecosystem. Laboratory work and field trips are included. Breadth-Science.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Andrew Perkins |
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. |
Burnaby Burnaby |
D101 |
Sep 4 – Oct 11, 2024: Tue, 12:30–2:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 12:30–2:20 p.m. |
Burnaby Burnaby |
|
D102 |
Sep 4 – Oct 11, 2024: Tue, 12:30–2:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 12:30–2:20 p.m. |
Burnaby Burnaby |
|
D103 |
Sep 4 – Oct 11, 2024: Tue, 2:30–4:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 2:30–4:20 p.m. |
Burnaby Burnaby |
|
D104 |
Sep 4 – Oct 11, 2024: Tue, 2:30–4:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 2:30–4:20 p.m. |
Burnaby Burnaby |
|
D105 |
Sep 4 – Dec 3, 2024: Wed, 10:30 a.m.–12:20 p.m.
|
Burnaby |
|
D106 |
Sep 4 – Dec 3, 2024: Wed, 12:30–2:20 p.m.
|
Burnaby |
|
D107 |
Sep 4 – Dec 3, 2024: Wed, 2:30–4:20 p.m.
|
Burnaby |
|
D108 |
Sep 4 – Dec 3, 2024: Fri, 10:30 a.m.–12:20 p.m.
|
Burnaby |
|
D109 |
Sep 4 – Dec 3, 2024: Fri, 12:30–2:20 p.m.
|
Burnaby |
An introduction to the theories and practices of remote sensing, including sensors and platforms, image collection, preliminary image analysis and interpretation, and a review of remote sensing applications in environmental monitoring and resource management. Quantitative/Breadth-Science.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Eva Snirer |
Sep 4 – Dec 3, 2024: Thu, 2:30–4:20 p.m.
|
Burnaby |
D101 |
Sep 4 – Dec 3, 2024: Thu, 4:30–6:20 p.m.
|
Burnaby |
|
D102 |
Sep 4 – Dec 3, 2024: Fri, 12:30–2:20 p.m.
|
Burnaby |
|
D103 |
Sep 4 – Dec 3, 2024: Fri, 2:30–4:20 p.m.
|
Burnaby |
A basic overview of Geographical Information Systems and Science; GIS software, hardware, data structures and models; spatial data, operations and algorithms; practical applications and limitations. Students with credit for GEOG 354 may not take this course for further credit. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Shivanand Balram |
Sep 4 – Oct 11, 2024: Tue, 12:30–2:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 12:30–2:20 p.m. |
Burnaby Burnaby |
D101 |
Sep 4 – Oct 11, 2024: Tue, 4:30–6:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 4:30–6:20 p.m. |
Burnaby Burnaby |
|
D102 |
Sep 4 – Dec 3, 2024: Wed, 8:30–10:20 a.m.
|
Burnaby |
|
D103 |
Sep 4 – Dec 3, 2024: Wed, 10:30 a.m.–12:20 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 |
and one of
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 |
A continuation of MACM 101. Topics covered include graph theory, trees, inclusion-exclusion, generating functions, recurrence relations, and optimization and matching. Prerequisite: MACM 101 or (ENSC 251 and one of MATH 232 or MATH 240). Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Nils Bruin |
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 |
OP01 | TBD |
and either both of
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 |
or both of
An introduction to computing science and computer programming, using a systems oriented language, such as C or C++. This course introduces basic computing science concepts. Topics will include: elementary data types, control structures, functions, arrays and strings, fundamental algorithms, computer organization and memory management. Prerequisite: BC Math 12 (or equivalent, or any of MATH 100, 150, 151, 154, or 157, with a minimum grade of C-). Students with credit for CMPT 102, 120, 128 or 166 may not take this course for further credit. Students who have taken CMPT 125, 129 or 135 first may not then take this course for further credit. Quantitative/Breadth-Science.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Brian Fraser |
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 10:30–11:20 a.m.
Oct 15, 2024: Tue, 10:30–11:20 a.m. |
Surrey Surrey |
D101 |
Brian Fraser |
Sep 4 – Dec 3, 2024: Wed, 9:30–10:20 a.m.
|
Surrey |
D102 |
Brian Fraser |
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. |
Surrey Surrey |
D103 |
Brian Fraser |
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. |
Surrey Surrey |
D104 |
Brian Fraser |
Sep 4 – Oct 11, 2024: Tue, 12:30–1:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 12:30–1:20 p.m. |
Surrey Surrey |
D105 |
Brian Fraser |
Sep 4 – Oct 11, 2024: Tue, 12:30–1:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 12:30–1:20 p.m. |
Surrey Surrey |
D106 |
Brian Fraser |
Sep 4 – Oct 11, 2024: Tue, 1:30–2:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 1:30–2:20 p.m. |
Surrey Surrey |
D107 |
Brian Fraser |
Sep 4 – Oct 11, 2024: Tue, 1:30–2:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 1:30–2:20 p.m. |
Surrey Surrey |
D108 |
Brian Fraser |
Sep 4 – Oct 11, 2024: Tue, 2:30–3:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 2:30–3:20 p.m. |
Surrey Surrey |
A second course in systems-oriented programming and computing science that builds upon the foundation set in CMPT 130 using a systems-oriented language such as C or C++. Topics: a review of the basic elements of programming; introduction to object-oriented programming (OOP); techniques for designing and testing programs; use and implementation of elementary data structures and algorithms; introduction to embedded systems programming. Prerequisite: CMPT 130 with a minimum grade of C-. Students with credit for CMPT 125, 126, or 129 may not take this course for further credit. Quantitative.
and one of
An exploration of the processes that shape Earth's surface and the landforms that result. Prerequisite: GEOG 111 or EASC 101. Quantitative/Breadth-Science.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Jonathan Cripps |
Sep 4 – Dec 3, 2024: Thu, 12:30–2:20 p.m.
|
Burnaby |
D101 |
Sep 4 – Dec 3, 2024: Thu, 2:30–4:20 p.m.
|
Burnaby |
|
D103 |
Sep 4 – Dec 3, 2024: Fri, 10:30 a.m.–12:20 p.m.
|
Burnaby |
An examination of the basic principles and processes governing the Earth's weather and climate. Topics include: radiation, greenhouse effect, clouds, precipitation, atmospheric circulation, mid-latitude cyclones, tropical storms, climate change. Prerequisite: GEOG 111. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Kirsten Zickfeld |
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. |
Burnaby Burnaby |
D101 |
Sep 4 – Dec 3, 2024: Mon, 12:30–2:20 p.m.
Oct 15, 2024: Tue, 12:30–2:20 p.m. |
Burnaby Burnaby |
|
D102 |
Sep 4 – Dec 3, 2024: Mon, 2:30–4:20 p.m.
Oct 15, 2024: Tue, 2:30–4:20 p.m. |
Burnaby Burnaby |
An introduction to the planetary biosphere, its living organisms, and their interactions with each other and the Earth system. Prerequisite: GEOG 111.
The fundamentals of economics geography, the study of the forces that shape the arrangement of economic activity in the real world. Prerequisite: GEOG 100. Breadth-Social Sciences.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Rosemary-Claire Collard |
Sep 4 – Oct 11, 2024: Tue, 2:30–4:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 2:30–4:20 p.m. |
Burnaby Burnaby |
D101 |
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 |
|
D103 |
Sep 4 – Dec 3, 2024: Wed, 12:30–1:20 p.m.
|
Burnaby |
An introduction to key concepts and themes in contemporary geographical approaches to cities and urbanization. Prerequisite: GEOG 100 or 102. Breadth-Social Sciences.
and one of
An introduction to basic quantitative techniques for the collection of geographic data. Topics include describing data, gathering samples, theoretical distributions, linking samples and populations, testing significance, and exploring spatial relationships all within practical, real-world application contexts. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Shivanand Balram |
Sep 4 – Dec 3, 2024: Thu, 10:30 a.m.–12:20 p.m.
|
Burnaby |
D101 |
Sep 4 – Dec 3, 2024: Thu, 12:30–2:20 p.m.
|
Burnaby |
|
D102 |
Sep 4 – Dec 3, 2024: Thu, 2:30–4:20 p.m.
|
Burnaby |
|
D103 |
Sep 4 – Dec 3, 2024: Fri, 10:30 a.m.–12:20 p.m.
|
Burnaby |
Basic laws of probability, sample distributions. Introduction to statistical inference and applications. Prerequisite: or Corequisite: MATH 152 or 155 or 158, with a minimum grade of C-. Students wishing an intuitive appreciation of a broad range of statistical strategies may wish to take STAT 100 first. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Lloyd Elliott |
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 |
OL01 |
Tim Swartz |
Online | |
OP01 | TBD |
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 B+ or better and permission of the School of Computing Science
Upper Division Requirements
Students complete a total of 45 upper division units including all of
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 |
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 |
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 |
and one of
This course aims to give the student an understanding of what a modern operating system is, and the services it provides. It also discusses some basic issues in operating systems and provides solutions. Topics include multiprogramming, process management, memory management, and file systems. Prerequisite: CMPT 225 and (CMPT 295 or ENSC 254), all with a minimum grade of C-.
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-.
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 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-.
and three of
Elements of cartographic analysis, design and visualization, with an emphasis on digital mapping, animation techniques, cartographic software and internet mapping. Prerequisite: GEOG 255. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Suzana Dragicevic |
Sep 4 – Oct 11, 2024: Tue, 2:30–4:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 2:30–4:20 p.m. |
Burnaby Burnaby |
D101 |
Sep 4 – Dec 3, 2024: Wed, 10:30 a.m.–12:20 p.m.
|
Burnaby |
|
D102 |
Sep 4 – Dec 3, 2024: Wed, 12:30–2:20 p.m.
|
Burnaby |
|
D103 |
Sep 4 – Dec 3, 2024: Wed, 4:30–6:20 p.m.
|
Burnaby |
Advanced quantitative techniques for spatial analysis of geographic data and patterns. Topics include geostatistics, spatial interpolation, autocorrelation, kriging, and their use in geographic problem solving with spatial analysis software. Prerequisite: GEOG 251 or one of STAT 201, 203 (formerly 103), 205, or 270. Quantitative.
Advanced remote sensing principles and data processing techniques, including image correction and enhancement, advanced image analysis and information extraction, land cover classification and change detection, and integration of remote sensing and GIS. Prerequisite: GEOG 253. Quantitative.
An examination of technical components of GIS. Topics include spatial representations, generalization and data management; computational algebra and set theory; digital surfaces and terrain models. Prerequisite: GEOG 255. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Nadine Schuurman |
Sep 4 – Dec 3, 2024: Fri, 12:30–2:20 p.m.
|
Burnaby |
D101 |
Sep 4 – Dec 3, 2024: Thu, 10:30 a.m.–12:20 p.m.
|
Burnaby |
|
D102 |
Sep 4 – Dec 3, 2024: Thu, 12:30–2:20 p.m.
|
Burnaby |
|
D103 |
Sep 4 – Dec 3, 2024: Thu, 2:30–4:20 p.m.
|
Burnaby |
|
D104 |
Sep 4 – Dec 3, 2024: Fri, 10:30 a.m.–12:20 p.m.
|
Burnaby |
Introduction to 3D spatial data, 3D analysis, and 3D visualization for spatial problems. Students will gain skills in 3D aspects of GIScience concepts; data generation and use; analysis and simulation; visualization and its use for interpretation and communication. Prerequisite: GEOG 255.
and two of
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.
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 |
Current topics in artificial intelligence depending on faculty and student interest.
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 |
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-.
and two of
Spatial models for the representation and simulation of physical, human and environmental processes. GIS and spatial analysis software are used in the laboratory for model development, from problem definition and solution to visualization. Prerequisite: GEOG 251 or one of STAT 201, 203 (formerly 103), 205, or 270; one of GEOG 351, 352, 353, 355 or 356. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Suzana Dragicevic |
Sep 4 – Dec 3, 2024: Thu, 2:30–4:20 p.m.
|
Burnaby |
D101 |
Sep 4 – Dec 3, 2024: Thu, 4:30–6:20 p.m.
|
Burnaby |
Students will work in teams on real-world remote sensing projects in their area of interest. Each team will complete the project independently from literature review to project presentation. Cutting-edge remote sensing technologies and research that are related to the projects will also be introduced. Prerequisite: GEOG 353. Recommended: One of GEOG 351, 352, 355 or 356. Students with credit for GEOG 453W may not repeat this course for further credit. Quantitative.
A critical examination of advanced topics in GIS, such as: boundary definition, expert systems and artificial intelligence, error and uncertainty, and scale in a digital context. Examines social applications and the roles of GIS in society. Students will design original projects, including data acquisition, analysis, and web site development. Prerequisite: GEOG 355. Students with credit for GEOG 452 or GEOG 455W may not take this course for further credit. Quantitative.
A critical examination of advanced topics in GIS, such as: boundary definition, expert systems and artificial intelligence, error and uncertainty, and scale in a digital context. Examines social applications and the roles of GIS in society. Students will design original projects, including data acquisition, analysis, and web site development. Prerequisite: GEOG 355. Students with credit for GEOG 452 or GEOG 455 may not take this course for further credit. Writing/Quantitative.
The concepts, theories, and technology behind interactive and immersive interface technologies used for geospatial visualization. Applications and implications for GIScience and spatial knowledge acquisition. Combines GIScience, spatial cognition, and virtual environments/interface research perspectives. Prerequisite: GEOG 356. Students with credit for GEOG 457 (STT) Geospatial Virtual Environments in fall 2005 or fall 2006 may not take this course for further credit.
and four additional upper division units in physical or human geography. Students should consult with the program advisor when choosing these units
and three additional upper division units in CMPT or MACM courses.
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.
Elective Courses
In addition to the courses listed above, students should consult an academic advisor to plan the remaining required elective courses.