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Department of Mathematics | Faculty of Science Simon Fraser University Calendar | Fall 2024
Mathematics and Computing Science Joint Honours
This program is offered co-operatively by the Department of Mathematics and the School of Computing Science. In general, students are expected to meet the requirements of both the department and the school with respect to admission, continuation and graduation requirements.
Prerequisite Grade Requirement
To enroll in a course offered by the Department of Mathematics, a student must obtain a grade of C- or better in each prerequisite course. Some courses may require higher prerequisite grades. Check the MATH course’s Calendar description for details.
Students will not normally be permitted to enroll in any course for which a D grade or lower was obtained in any prerequisite. No student may complete, for further credit, any course offered by the Department of Mathematics which is a prerequisite for a course the student has already completed with a grade of C- or higher, without permission of the department.
Computing science course entry requires a grade of C- or better in each prerequisite course. A minimum 2.40 CGPA is required for 200, 300 and 400 division computing courses.
Program Requirements
The program is subject to Faculty of Science and University regulations. Course and prerequisite admission is subject to departmental requirements.
Faculty of Applied Sciences residency requirements apply to the computing science courses used toward the program.
Students complete at least 120 units of which at least 60 units are at the upper division level as specified below.
Lower Division Requirements
Complete 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 all of
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 |
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 |
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 |
Using a mathematical software package for doing calculations in linear algebra. Development of computer models that analyze and illustrate applications of linear algebra. All calculations and experiments will be done in the Matlab software package. Topics include: large-scale matrix calculations, experiments with cellular automata, indexing, searching and ranking pages on the internet, population models, data fitting and optimization, image analysis, and cryptography. Prerequisite: One of CMPT 102, 120, 126, 128 or 130 and one of MATH 150, 151, 154 or 157 and one of MATH 232 or 240. MATH 232 or 240 can be taken as corequisite. Students in excess of 80 units may not take MACM 203 for further credit. Quantitative.
Using a mathematical software package for doing computations from calculus. Development of computer models that analyze and illustrate applications of calculus. All calculations and experiments will be done in the Maple software package. Topics include: graphing functions and data, preparing visual aids for illustrating mathematical concepts, integration, Taylor series, numerical approximation methods, 3D visualization of curves and surfaces, multi-dimensional optimization, differential equations and disease spread models. Prerequisite: One of CMPT 102, 120, 126, 128 or 130 and MATH 251. MATH 251 can be taken as a corequisite. Students in excess of 80 units may not take MACM 204 for further credit. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
E100 |
Michael Monagan |
Sep 4 – Dec 3, 2024: Wed, 4:30–5:20 p.m.
|
Burnaby |
E101 |
Michael Monagan |
Sep 4 – Dec 3, 2024: Thu, 9:30–10:20 a.m.
|
Burnaby |
E102 |
Michael Monagan |
Sep 4 – Dec 3, 2024: Thu, 10:30–11:20 a.m.
|
Burnaby |
E103 |
Michael Monagan |
Sep 4 – Dec 3, 2024: Thu, 11:30 a.m.–12:20 p.m.
|
Burnaby |
Rectangular, cylindrical and spherical coordinates. Vectors, lines, planes, cylinders, quadric surfaces. Vector functions, curves, motion in space. Differential and integral calculus of several variables. Vector fields, line integrals, fundamental theorem for line integrals, Green's theorem. Prerequisite: MATH 152 with a minimum grade of C-; or MATH 155 or MATH 158 with a grade of at least B. Recommended: It is recommended that MATH 240 or 232 be taken before or concurrently with MATH 251. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Weiran Sun Weiran Sun |
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 |
Justin Gray |
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 |
Justin Chan |
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 8:30–9:20 a.m.
Oct 15, 2024: Tue, 8:30–9:20 a.m. |
Surrey Surrey |
OP01 | TBD | ||
OP02 | TBD |
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 |
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 |
** strongly recommended
+ The following substitutions are also permitted. They may not also be used to satisfy the upper division requirements. MACM 409 - Numerical Linear Algebra: Algorithms, Implementation and Applications (3) for MACM 203. MACM 401 - Introduction to Computer Algebra (3) for MACM 204. MACM 442 - Cryptography (3) for MACM 204.
++ with a B grade or better
Upper Division Requirements
Students complete 51 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 |
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-.
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 |
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 |
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 Cedric Chauve |
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 |
Fundamental concepts, trees and distances, matchings and factors, connectivity and paths, network flows, integral flows. Prerequisite: MACM 201 with a minimum grade of C-. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Bojan Mohar |
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 3:30–4:20 p.m.
Oct 15, 2024: Tue, 3:30–4:20 p.m. |
Burnaby Burnaby |
D101 |
Sep 4 – Dec 3, 2024: Thu, 2:30–3:20 p.m.
|
Burnaby |
and two of
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 |
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-.
and one of
Theoretical and computational methods for investigating the minimum of a function of several real variables with and without inequality constraints. Applications to operations research, model fitting, and economic theory. Prerequisite: MATH 232 or 240, and 251, all with a minimum grade of C-. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Benjamin Adcock |
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 |
D102 |
Sep 4 – Dec 3, 2024: Fri, 2:30–3:20 p.m.
|
Burnaby |
|
D103 |
Sep 4 – Dec 3, 2024: Fri, 3:30–4:20 p.m.
|
Burnaby |
Modelling of real-life systems as Markov chains, including transient behaviour, limiting behaviour and classification of states, and using the exponential distribution and Poisson processes. Computational topics include generating and sampling random numbers, combinatorial objects and probability functions. Applications may include queueing systems, chemical kinetics, infectious diseases, and statistical physics. Prerequisite: STAT 270 and (MATH 232 or MATH 240), all with a minimum grade of C-. Strongly Recommended: Experience with a computing platform such as R, MATLAB, or Python. Quantitative.
Key ideas and mathematical methods used in applications of mathematics to various biological, ecological, physiological, and medical problems. The course derives, interprets, solves and simulates models of biological systems. Topics could include population models, evolution from trait and genetic perspectives and qualitative analysis of ODEs. Prerequisite: MATH 260 with a minimum grade of C- OR MATH 155 with a minimum grade of A-. Strongly Recommended: Experience with a computing platform such as R, MATLAB, or Python. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Ben Ashby |
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 2:30–3:20 p.m.
Oct 15, 2024: Tue, 2:30–3:20 p.m. |
Burnaby Burnaby |
D102 |
Sep 4 – Dec 3, 2024: Thu, 3:30–4:20 p.m.
|
Burnaby |
and additional course work to total 27 upper division MATH units and 24 upper division CMPT units including core requirements. MACM courses are counted in an alternating fashion towards the MATH and CMPT requirements, starting with the first MACM course completed counting towards either MATH or CMPT. 18 units must be completed at the 400 division or higher, including at least six units each of CMPT and MATH.
Students are encouraged to take either
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.
or both of
Students will develop skills required for mathematical research. This course will focus on communication in both written and oral form. Students will write documents and prepare presentations in a variety of formats for academic and non-academic purposes. The LaTeX document preparation system will be used. Course will be given on a pass/fail basis. Corequisite: MATH 499W. Students must have an approved project prior to enrollment.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Amarpreet Rattan |
Sep 4 – Dec 3, 2024: Thu, 12:30–2:20 p.m.
|
Burnaby |
An honours research project in mathematics is an original presentation of an area or problem in mathematics. A typical project is an original synthesis of knowledge generated from students research experience. A project can contain substantive, original mathematics, but need not. The presentation consists of a written report and an oral presentation both of which must be completed before the end of the exam period. Prerequisite: 18 units of upper division MATH or MACM courses. Must be in an honours program with a GPA of at least 3.0. Corequisite: MATH 498. Students must have an approved project prior to enrollment. Writing.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 | TBD |
Other Requirements
Of the total 120 units required for honours, at least 60 must be from the upper division.
The program is subject to Faculty of Science and University regulations. Course and prerequisite admission is subject to departmental requirements. MACM major graduation is contingent upon a cumulative grade point average (CGPA) and upper division grade point average (UDGPA) of 3.00 or better. Students must also achieve a 3.00 or better CGPA and UDGPA in each of the CMPT, MACM and MATH designations.
Admission, continuation and graduation in the MACM honours is contingent upon 3.00 or better on all relevant GPAs. Faculty of Applied Sciences residency requirements appy to the computing science courses used toward the program.
Co-operative Education and Work Experience
All computing science students are strongly encouraged to explore the opportunities that Work Integrated Learning (WIL) can offer. Please contact a computing science or mathematics co-op advisor during the 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.
Visit http://www.cs.sfu.ca/undergraduate/co-op.html for more computing science information, or for mathematics, http://www.sfu.ca/coop/contact#science.
University Honours Degree Requirements
Students must also satisfy University degree requirements for degree completion.
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 a Mathematics or Computing Science advisor to plan the remaining required elective courses.