Please note:

To view the Summer 2024 Academic Calendar, go to www.sfu.ca/students/calendar/2024/summer.html.

Department of Mathematics | Faculty of Science Simon Fraser University Calendar | Fall 2024

Operations Research Major

Bachelor of Science

This program prepares students for careers in industry or a variety of graduate and professional programs.

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.

Program Requirements

The program requires the completion of 120 units which includes a Faculty of Science requirement of a minimum of 28 upper division units, and additional upper division units to total a minimum of 44 upper division units (excluding EDUC 401, 407).

The specific program requirements are divided into three parts: required lower division courses, required upper division courses, and completion of an interdisciplinary requirement.

In addition to the program requirements set out below, general university and Faculty of Science regulations must be met.

Computing science courses that are completed in the operations research major program will count towards the requirement that 12 units must be completed from outside of the Faculty of Science.

A minimum program 2.00 cumulative grade point average (CGPA) must be obtained on the overall major program requirements, as well as a minimum program 2.00 grade point average in the upper division major courses.

Lower Division Requirements

Students complete

both of

CMPT 120 - Introduction to Computing Science and Programming I (3)

An elementary introduction to computing science and computer programming, suitable for students with little or no programming background. Students will learn fundamental concepts and terminology of computing science, acquire elementary skills for programming in a high-level language, e.g. Python. The students will be exposed to diverse fields within, and applications of computing science. Topics will include: pseudocode; data types and control structures; fundamental algorithms; recursion; reading and writing files; measuring performance of algorithms; debugging tools; basic terminal navigation using shell commands. Treatment is informal and programming is presented as a problem-solving tool. Prerequisite: BC Math 12 or equivalent is recommended. Students with credit for CMPT 102, 128, 130 or 166 may not take this course for further credit. Students who have taken CMPT 125, 129, 130 or 135 first may not then take this course for further credit. Quantitative/Breadth-Science.

Section Instructor Day/Time Location
D100 Toby Donaldson
Sep 4 – Dec 3, 2024: Mon, 2:30–4:20 p.m.
Sep 4 – Dec 3, 2024: Wed, 2:30–3:20 p.m.
Burnaby
Burnaby
D300 Nicholas Vincent
Sep 4 – Dec 3, 2024: Mon, 2:30–3:20 p.m.
Sep 4 – Dec 3, 2024: Thu, 2:30–4:20 p.m.
Burnaby
Burnaby
D400 Brian Fraser
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 11:30 a.m.–12:20 p.m.
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
CMPT 125 - Introduction to Computing Science and Programming II (3)

A rigorous introduction to computing science and computer programming, suitable for students who already have some background in computing science and programming. Intended for students who will major in computing science or a related program. Topics include: memory management; fundamental algorithms; formally analyzing the running time of algorithms; abstract data types and elementary data structures; object-oriented programming and software design; specification and program correctness; reading and writing files; debugging tools; shell commands. Prerequisite: CMPT 120 or CMPT 130, with a minimum grade of C-. Students with credit for CMPT 126, 129, 135 or CMPT 200 or higher may not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
E100 Janice Regan
Sep 4 – Dec 3, 2024: Mon, 4:30–5:20 p.m.
Sep 4 – Dec 3, 2024: Thu, 4:30–6:20 p.m.
Burnaby
Burnaby
E101 Janice Regan
Sep 4 – Dec 3, 2024: Mon, 12:30–1:20 p.m.
Burnaby
E102 Janice Regan
Sep 4 – Dec 3, 2024: Mon, 12:30–1:20 p.m.
Burnaby
E103 Janice Regan
Sep 4 – Dec 3, 2024: Mon, 1:30–2:20 p.m.
Burnaby
E104 Janice Regan
Sep 4 – Dec 3, 2024: Mon, 1:30–2:20 p.m.
Burnaby
E105 Janice Regan
Sep 4 – Dec 3, 2024: Mon, 2:30–3:20 p.m.
Burnaby
E106 Janice Regan
Sep 4 – Dec 3, 2024: Mon, 2:30–3:20 p.m.
Burnaby
E107 Janice Regan
Sep 4 – Dec 3, 2024: Mon, 3:30–4:20 p.m.
Burnaby
E108 Janice Regan
Sep 4 – Dec 3, 2024: Mon, 3:30–4:20 p.m.
Burnaby

(Students transferring into a math program should contact the math undergraduate advisor if they have already completed equivalent courses.)

or both of

CMPT 130 - Introduction to Computer Programming I (3)

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.
Surrey
D101 Brian Fraser
Sep 4 – Dec 3, 2024: Wed, 9:30–10:20 a.m.
Surrey
D102 Brian Fraser
Sep 4 – Dec 3, 2024: Tue, 11:30 a.m.–12:20 p.m.
Surrey
D103 Brian Fraser
Sep 4 – Dec 3, 2024: Tue, 11:30 a.m.–12:20 p.m.
Surrey
D104 Brian Fraser
Sep 4 – Dec 3, 2024: Tue, 12:30–1:20 p.m.
Surrey
D105 Brian Fraser
Sep 4 – Dec 3, 2024: Tue, 12:30–1:20 p.m.
Surrey
D106 Brian Fraser
Sep 4 – Dec 3, 2024: Tue, 1:30–2:20 p.m.
Surrey
D107 Brian Fraser
Sep 4 – Dec 3, 2024: Tue, 1:30–2:20 p.m.
Surrey
D108 Brian Fraser
Sep 4 – Dec 3, 2024: Tue, 2:30–3:20 p.m.
Surrey
CMPT 135 - Introduction to Computer Programming II (3)

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

CMPT 225 - Data Structures and Programming (3)

Introduction to a variety of practical and important data structures and methods for implementation and for experimental and analytical evaluation. Topics include: stacks, queues and lists; search trees; hash tables and algorithms; efficient sorting; object-oriented programming; time and space efficiency analysis; and experimental evaluation. Prerequisite: (MACM 101 and (CMPT 125, CMPT 129 or CMPT 135)) or (ENSC 251 and ENSC 252), all with a minimum grade of C-. Quantitative.

Section Instructor Day/Time Location
D100 John Edgar
Sep 4 – Dec 3, 2024: Tue, 8:30–10:20 a.m.
Sep 4 – Dec 3, 2024: Thu, 8:30–9:20 a.m.
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
D201 Sep 4 – Dec 3, 2024: Thu, 8:30–9:20 a.m.
Burnaby
D202 Sep 4 – Dec 3, 2024: Thu, 8:30–9:20 a.m.
Burnaby
D203 Sep 4 – Dec 3, 2024: Thu, 9:30–10:20 a.m.
Burnaby
D204 Sep 4 – Dec 3, 2024: Thu, 9:30–10:20 a.m.
Burnaby
D205 Sep 4 – Dec 3, 2024: Thu, 10:30–11:20 a.m.
Burnaby
D206 Sep 4 – Dec 3, 2024: Thu, 10:30–11:20 a.m.
Burnaby
D207 Sep 4 – Dec 3, 2024: Thu, 11:30 a.m.–12:20 p.m.
Burnaby
D208 Sep 4 – Dec 3, 2024: Thu, 11:30 a.m.–12:20 p.m.
Burnaby
MACM 101 - Discrete Mathematics I (3)

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.
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 – Dec 3, 2024: Tue, 11:30 a.m.–12:20 p.m.
Burnaby
D202 Kay C Wiese
Sep 4 – Dec 3, 2024: Tue, 11:30 a.m.–12:20 p.m.
Burnaby
D203 Kay C Wiese
Sep 4 – Dec 3, 2024: Tue, 12:30–1:20 p.m.
Burnaby
D204 Kay C Wiese
Sep 4 – Dec 3, 2024: Tue, 12:30–1:20 p.m.
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 – Dec 3, 2024: Tue, 4:30–7:20 p.m.
Surrey
E101 Harinder Khangura
Sep 4 – Dec 3, 2024: Mon, 2:30–3:20 p.m.
Surrey
E102 Harinder Khangura
Sep 4 – Dec 3, 2024: Mon, 2:30–3:20 p.m.
Surrey
E103 Harinder Khangura
Sep 4 – Dec 3, 2024: Mon, 3:30–4:20 p.m.
Surrey
E104 Harinder Khangura
Sep 4 – Dec 3, 2024: Mon, 3:30–4:20 p.m.
Surrey
E105 Harinder Khangura
Sep 4 – Dec 3, 2024: Mon, 4:30–5:20 p.m.
Surrey
E106 Harinder Khangura
Sep 4 – Dec 3, 2024: Mon, 4:30–5:20 p.m.
Surrey
E107 Harinder Khangura
Sep 4 – Dec 3, 2024: Mon, 1:30–2:20 p.m.
Surrey
E108 Harinder Khangura
Sep 4 – Dec 3, 2024: Mon, 1:30–2:20 p.m.
Surrey
MACM 201 - Discrete Mathematics II (3)

A continuation of MACM 101. Topics covered include graph theory, trees, inclusion-exclusion, generating functions, recurrence relations, and optimization and matching. Prerequisite: MACM 101 or (ENSC 251 and one of MATH 232 or MATH 240). Quantitative.

Section Instructor Day/Time Location
D100 Nils Bruin
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 12:30–1:20 p.m.
Burnaby
D300 Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 12:30–1:20 p.m.
Burnaby
OP01 TBD
OP02 TBD
MATH 208W - Introduction to Operations Research (3)

Introduction to methods of operations research: linear and nonlinear programming, simulation, and heuristic methods. Applications to transportation, assignment, scheduling, and game theory. Exposure to mathematical models of industry and technology. Emphasis on computation for analysis and simulation. Prerequisite: MATH 150 or 151 or 154 or 157, with a minimum grade of C-. Students with credit for MATH 208 may not take this course for further credit. Writing/Quantitative.

MATH 251 - Calculus III (3)

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.
Burnaby
D200 Justin Gray
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 8:30–9:20 a.m.
Burnaby
D400 Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 8:30–9:20 a.m.
Surrey
OP01 TBD
OP02 TBD
OP03 TBD
STAT 270 - Introduction to Probability and Statistics (3)

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.
Burnaby
OL01 Tim Swartz
Online
OP01 TBD
STAT 285 - Intermediate Probability and Statistics (3)

This course is a continuation of STAT 270. Review of probability models. Procedures for statistical inference using survey results and experimental data. Statistical model building. Elementary design of experiments. Regression methods. Introduction to categorical data analysis. Prerequisite: STAT 270 and one of MATH 152, MATH 155, or MATH 158, all with a minimum grade of C-. Quantitative.

Section Instructor Day/Time Location
D100 Liangliang Wang
Sep 4 – 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
D101 Liangliang Wang
Sep 4 – Dec 3, 2024: Thu, 3:30–4:20 p.m.
Burnaby
D102 Liangliang Wang
Sep 4 – Dec 3, 2024: Thu, 4:30–5:20 p.m.
Burnaby

and one of

MATH 150 - Calculus I with Review (4)

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.
Burnaby
D101 Sep 4 – Dec 3, 2024: Tue, 8:30–9:20 a.m.
Burnaby
D102 Sep 4 – Dec 3, 2024: Tue, 9:30–10:20 a.m.
Burnaby
D103 Sep 4 – Dec 3, 2024: Tue, 10:30–11:20 a.m.
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 Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 8:30–9:20 a.m.
Burnaby
D201 Sep 4 – Dec 3, 2024: Tue, 8:30–9:20 a.m.
Burnaby
D202 Sep 4 – Dec 3, 2024: Tue, 1:30–2:20 p.m.
Burnaby
D203 Sep 4 – Dec 3, 2024: Tue, 2:30–3:20 p.m.
Burnaby
D204 Sep 4 – Dec 3, 2024: Tue, 11:30 a.m.–12:20 p.m.
Burnaby
D205 Sep 4 – Dec 3, 2024: Tue, 4:30–5:20 p.m.
Burnaby
D400 Natalia Kouzniak
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 9:30–10:20 a.m.
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
OP02 TBD
OP03 TBD
MATH 151 - Calculus I (3)

Designed for students specializing in mathematics, physics, chemistry, computing science and engineering. Logarithmic and exponential functions, trigonometric functions, inverse functions. Limits, continuity, and derivatives. Techniques of differentiation, including logarithmic and implicit differentiation. The Mean Value Theorem. Applications of differentiation including extrema, curve sketching, Newton's method. Introduction to modeling with differential equations. Polar coordinates, parametric curves. Prerequisite: Pre-Calculus 12 (or equivalent) with a grade of at least A, or MATH 100 with a grade of at least B, or achieving a satisfactory grade on the Simon Fraser University Calculus Readiness Test. Students with credit for either MATH 150, 154 or 157 may not take MATH 151 for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Jamie Mulholland
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 8:30–9:20 a.m.
Burnaby
D200 Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 8:30–9:20 a.m.
Burnaby
D400 Natalia Kouzniak
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 9:30–10:20 a.m.
Surrey
OP01 TBD
OP02 TBD
OP04 TBD
MATH 154 - Mathematics for the Life Sciences I (3) *

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.
Burnaby
D400 Ladislav Stacho
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 9:30–10:20 a.m.
Surrey
OP01 TBD
OP02 TBD
MATH 157 - Calculus I for the Social Sciences (3) *

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.
Burnaby
D400 Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 12:30–1:20 p.m.
Surrey
OP01 TBD
OP02 TBD

and one of

MATH 152 - Calculus II (3)

Riemann sum, Fundamental Theorem of Calculus, definite, indefinite and improper integrals, approximate integration, integration techniques, applications of integration. First-order separable differential equations and growth models. Sequences and series, series tests, power series, convergence and applications of power series. Prerequisite: MATH 150 or 151, with a minimum grade of C-; or MATH 154 or 157 with a grade of at least B. Students with credit for MATH 155 or 158 may not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 8:30–9:20 a.m.
Burnaby
OP01 TBD
MATH 155 - Mathematics for the Life Sciences II (3) *

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.

MATH 158 - Calculus II for the Social Sciences (3) *

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

MATH 232 - Applied Linear Algebra (3) *

Linear equations, matrices, determinants. Introduction to vector spaces and linear transformations and bases. Complex numbers. Eigenvalues and eigenvectors; diagonalization. Inner products and orthogonality; least squares problems. An emphasis on applications involving matrix and vector calculations. Prerequisite: MATH 150 or 151 or MACM 101, with a minimum grade of C-; or MATH 154 or 157, both with a grade of at least B. Students with credit for MATH 240 may not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 11:30 a.m.–12:20 p.m.
Burnaby
D400 Tamon Stephen
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 1:30–2:20 p.m.
Surrey
OP01 TBD
OP02 Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 1:30–2:20 p.m.

MATH 240 - Algebra I: Linear Algebra (3)

Linear equations, matrices, determinants. Real and abstract vector spaces, subspaces and linear transformations; basis and change of basis. Complex numbers. Eigenvalues and eigenvectors; diagonalization. Inner products and orthogonality; least squares problems. Applications. Subject is presented with an abstract emphasis and includes proofs of the basic theorems. Prerequisite: MATH 150 or 151 or MACM 101, 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.
Burnaby
OP01 TBD

* with a B grade or better

Upper Division Requirements

Students complete all of

MATH 308 - Linear Optimization (3)

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.

MATH 348 - Stochastic Modelling and Simulation (3)

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.

MATH 402W - Operations Research Clinic (4)

Problems from operations research will be presented and discussed in class. Students will also work on a problem of their choice and present their solution in report form as well as a presentation. Prerequisite: MATH 308 with a minimum grade of C-. Writing/Quantitative.

and four of

MATH 309 - Continuous Optimization (3)

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 – 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
D101 Sep 4 – Dec 3, 2024: Fri, 1:30–2:20 p.m.
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
MATH 408 - Discrete Optimization (3)

Model building using integer variables, computer solution, relaxations and lower bounds, heuristics and upper bounds, branch and bound algorithms, cutting plane algorithms, valid inequalities and facets, branch and cut algorithms, Lagrangian duality, column generation of algorithms, heuristics algorithms and analysis. Prerequisite: MATH 308 with a minimum grade of C-. Quantitative.

Section Instructor Day/Time Location
D100 Tamon Stephen
Sep 4 – Dec 3, 2024: Mon, 2:30–4:20 p.m.
Sep 4 – Dec 3, 2024: Wed, 2:30–3:20 p.m.
Surrey
Surrey
MATH 448 - Network Flows (3)

Applications of network flow models; flow decomposition; polynomial algorithms for shortest paths, maximum flows and minimum costs flows; convex cost flows; generalized flows, multi-commodity flows. Prerequisite: MATH 308 with a minimum grade of C-. Recommended: MATH 345. Quantitative.

STAT 350 - Linear Models in Applied Statistics (3)

Theory and application of linear regression. Normal distribution theory. Hypothesis tests and confidence intervals. Model selection. Model diagnostics. Introduction to weighted least squares and generalized linear models. Prerequisite: STAT 260 and one of STAT 285, MATH 251, and one of MATH 232 or MATH 240, all with a minimum grade of C-. Quantitative.

Section Instructor Day/Time Location
D100 Rachel Altman
Sep 4 – 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
D101 Rachel Altman
Sep 4 – Dec 3, 2024: Tue, 9:30–10:20 a.m.
Burnaby
D102 Rachel Altman
Sep 4 – Dec 3, 2024: Fri, 9:30–10:20 a.m.
Burnaby
D103 Rachel Altman
Sep 4 – Dec 3, 2024: Fri, 10:30–11:20 a.m.
Burnaby
STAT 380 - Introduction to Stochastic Processes (3)

Review of discrete and continuous probability models and relationships between them. Exploration of conditioning and conditional expectation. Markov chains. Random walks. Continuous time processes. Poisson process. Markov processes. Gaussian processes. Prerequisite: STAT 330, or all of: STAT 285, MATH 208W, and MATH 251, all with a minimum grade of C-. Quantitative.

and at least one of

CMPT 305 - Computer Simulation and Modelling (3)

An introduction to the modelling, analysis, and computer simulation of complex systems. Topics include analytic modelling, discrete event simulation, experimental design, random number generation, and statistical analysis. Prerequisite: CMPT 225, (MACM 101 or (ENSC 251 and ENSC 252)) and (STAT 270 or STAT 271), all with a minimum grade of C-.

CMPT 307 - Data Structures and Algorithms (3)

Design and analysis of efficient data structures and algorithms. General techniques for building and analyzing algorithms (greedy, divide & conquer, dynamic programming, network flows). Introduction to NP-completeness. Prerequisite: CMPT 225, (MACM 201 or CMPT 210), (MATH 150 or MATH 151), and (MATH 232 or MATH 240), all with a minimum grade of C-. MATH 154 or MATH 157 with a grade of at least B+ may be substituted for MATH 150 or MATH 151.

Section Instructor Day/Time Location
D100 Andrei Bulatov
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 12:30–1:20 p.m.
Burnaby
D200 David Mitchell
Sep 4 – Dec 3, 2024: Tue, 8:30–10:20 a.m.
Sep 4 – Dec 3, 2024: Fri, 8:30–9:20 a.m.
Burnaby
Burnaby
MACM 316 - Numerical Analysis I (3)

A presentation of the problems commonly arising in numerical analysis and scientific computing and the basic methods for their solutions. Prerequisite: MATH 152 or 155 or 158, and MATH 232 or 240, and computing experience. Quantitative.

MATH 343 - Applied Discrete Mathematics (3)

Structures and algorithms, generating elementary combinatorial objects, counting (integer partitions, set partitions, Catalan families), backtracking algorithms, branch and bound, heuristic search algorithms. Prerequisite: MACM 201 with a minimum grade of C-. Recommended: Knowledge of a programming language. Quantitative.

Section Instructor Day/Time Location
D100 Luis Goddyn
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 9:30–10:20 a.m.
Burnaby
D101 Sep 4 – Dec 3, 2024: Tue, 12:30–1:20 p.m.
Burnaby
MATH 345 - Introduction to Graph Theory (3)

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 Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 3:30–4:20 p.m.
Burnaby
D101 Sep 4 – Dec 3, 2024: Thu, 2:30–3:20 p.m.
Burnaby

and at least 6 additional units from the following list

ECON 435 - Econometric Methods (5)

The application of econometric techniques to the empirical investigation of economic issues. Prerequisite: ECON 201 and ECON (or BUEC) 333, all with a minimum grade of C-. Entry into this course requires a minimum CGPA of 3.0 or permission of the department. Quantitative.

Section Instructor Day/Time Location
D100 Dongwoo Kim
Sep 4 – Dec 3, 2024: Wed, 9:30 a.m.–12:20 p.m.
Burnaby

Any upper division STAT course except for STAT 302, STAT 305, STAT 310, STAT 311, STAT 320, and STAT 403.

NOTE: SFU students accepted in the accelerated master’s within the Department of Mathematics may apply a maximum of 10 graduate course units, taken while completing the bachelor's degree, towards the upper division electives of the bachelor's program and the requirements of the master's degree. For more information go to: https://www.sfu.ca/gradstudies/apply/programs/accelerated-masters.html.

Interdisciplinary Requirement

With advisor approval, students also complete at least 15 units from application areas. Application courses are chosen from ACMA, BUEC, BUS, ECON, MACM, MATH, REM and STAT courses. Courses used to fulfil upper division requirements cannot be used to fulfil this requirement. If the operations research major is completed as part of a second bachelor's degree, then the interdisciplinary requirement may be waived if the previous degree contains an approved major. Approvals are given individually. Those majors that are approved will not be limited to the disciplines listed above.

University 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
Two courses (total six units or more) Humanities: B-Hum
Two courses (total six units or more) Sciences: B-Sci

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.

Elective Courses

In addition to the courses listed above, students should consult an academic advisor to plan the remaining required elective courses.