¶¡ÏãÔ°AV

Please note:

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

| ¶¡ÏãÔ°AV Calendar | Summer 2023

Mathematics Major

Bachelor of Science

This program leads to a bachelor of science (BSc) degree.

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.

Grade Requirements

In the courses used to satisfy the upper division requirements, a grade point average (GPA) of at least 2.00 is required. In addition, University regulations require a cumulative GPA of at least 2.00 and an upper division GPA of at least 2.00. These averages are computed on all courses completed at the University. See Grade Point Averages Needed for Graduation.

Program Requirements

Students complete 120 units, as specified below.

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
Hazra Imran
May 8 – Aug 4, 2023: Mon, 8:30–10:20 a.m.
May 8 – Aug 4, 2023: Wed, 8:30–9:20 a.m.
Burnaby
Burnaby
CMPT 129 - Introduction to Computing Science and Programming for Mathematics and Statistics (3)

A second course in computing science and programming intended for students studying mathematics, statistics or actuarial science and suitable for students who already have some background in computing science and programming. Topics include: a review of the basic elements of programming: use and implementation of elementary data structures and algorithms; fundamental algorithms and problem solving; basic object-oriented programming and software design; computation and computability and specification and program correctness. Prerequisite: CMPT 102 or CMPT 120, with a minimum grade of C-. Students with credit for CMPT 125 or 135 may not take this course for further credit. Quantitative.

(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.

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

MACM 101 - Discrete Mathematics I (3)

Introduction to counting, 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
Brad Bart
May 8 – Aug 4, 2023: Mon, Wed, Fri, 11:30 a.m.–12:20 p.m.
Burnaby
D101 May 8 – Aug 4, 2023: Tue, 2:30–3:20 p.m.
Burnaby
D102 May 8 – Aug 4, 2023: Tue, 2:30–3:20 p.m.
Burnaby
D103 May 8 – Aug 4, 2023: Tue, 3:30–4:20 p.m.
Burnaby
D104 May 8 – Aug 4, 2023: Tue, 3:30–4:20 p.m.
Burnaby
D105 May 8 – Aug 4, 2023: Tue, 4:30–5:20 p.m.
Burnaby
D106 May 8 – Aug 4, 2023: Tue, 4:30–5:20 p.m.
Burnaby
D107 May 8 – Aug 4, 2023: Tue, 5:30–6:20 p.m.
Burnaby
D108 May 8 – Aug 4, 2023: Tue, 5:30–6:20 p.m.
Burnaby
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.

MACM 203 - Computing with Linear Algebra (2) +

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.

MACM 204 - Computing with Calculus (2) +

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.

MATH 242 - Introduction to Analysis I (3)

Mathematical induction. Limits of real sequences and real functions. Continuity and its consequences. The mean value theorem. The fundamental theorem of calculus. Series. Prerequisite: MATH 152 with a minimum grade of C-; or MATH 155 or 158 with a grade of B. 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
Hansol Park
May 8 – Aug 4, 2023: Mon, Wed, Fri, 1:30–2:20 p.m.
Burnaby
Justin Chan
May 8 – Aug 4, 2023: Mon, Wed, Fri, 9:30–10:20 a.m.
Surrey
OP01 TBD
OP02 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
Wei Lin
May 8 – Aug 4, 2023: Wed, 11:30 a.m.–12:20 p.m.
May 8 – Aug 4, 2023: Fri, 10:30 a.m.–12:20 p.m.
Burnaby
Burnaby
Gamage Perera
Online
OP01 TBD

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 ¶¡ÏãÔ°AV 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
MacKenzie Carr
May 8 – Aug 4, 2023: Mon, Wed, Fri, 1:30–2:20 p.m.
Burnaby
D101 May 8 – Aug 4, 2023: Tue, 8:30–9:20 a.m.
Burnaby
D102 May 8 – Aug 4, 2023: Tue, 9:30–10:20 a.m.
Burnaby
D103 May 8 – Aug 4, 2023: Tue, 10:30–11:20 a.m.
Burnaby
OP01 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 ¶¡ÏãÔ°AV Calculus Readiness Test. Students with credit for either MATH 150, 154 or 157 may not take MATH 151 for further credit. Quantitative.

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 ¶¡ÏãÔ°AV Calculus Readiness Test. Students with credit for either MATH 150, 151 or 157 may not take MATH 154 for further credit. Quantitative.

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 ¶¡ÏãÔ°AV 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
Mahsa Faizrahnemoon
May 8 – Aug 4, 2023: Mon, Wed, Fri, 11:30 a.m.–12:20 p.m.
Burnaby
OP01 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
Alexander Rutherford
May 8 – Aug 4, 2023: 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.

Section Instructor Day/Time Location
Vijaykumar Singh
May 8 – Aug 4, 2023: Mon, Wed, Fri, 8:30–9:20 a.m.
Burnaby
OPO1 TBD
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
Navpreet Kaur
May 8 – Aug 4, 2023: Mon, Wed, Fri, 1:30–2:20 p.m.
Surrey
OP01 TBD
MATH 240 - Algebra I: Linear Algebra (3) *

Linear equations, matrices, determinants. Real and abstract vector spaces, subspaces and linear transformations; basis and change of basis. Complex numbers. Eigenvalues and eigenvectors; diagonalization. Inner products and orthogonality; least squares problems. Applications. Subject is presented with an abstract emphasis and includes proofs of the basic theorems. Prerequisite: MATH 150 or 151 or MACM 101, 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
Jonathan Jedwab
May 8 – Aug 4, 2023: Mon, Wed, Fri, 11:30 a.m.–12:20 p.m.
Burnaby
D101 May 8 – Aug 4, 2023: Thu, 9:30–10:20 a.m.
Burnaby
D102 May 8 – Aug 4, 2023: Thu, 2:30–3:20 p.m.
Burnaby
D103 May 8 – Aug 4, 2023: Thu, 3:30–4:20 p.m.
Burnaby

and an additional six units from the Faculty of Science outside of the departments of Mathematics and Statistics and Actuarial Science and excluding PHYS 100, BISC 100 and CHEM 110/111.

+ The following substitutions are also permitted. They may not also be used to satisfy the upper division requirements below.

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.

* strongly recommended

** with a B grade or better

Upper Division Requirements

Students complete a minimum of 30 program units, including the 15 outlined below.

MATH 340 - Algebra II: Rings and Fields (3)

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.

and one of

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 grade of at least B-). Recommended: knowledge of a programming language. Quantitative.

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 grade of at least B-). Quantitative.

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.

MATH 443 - Combinatorial Theory (3)

Design theory: Steiner triple systems, balanced incomplete block designs, latin squares, finite geometries. Enumeration: generating functions. Burnside's Lemma, Polya counting. Prerequisite: MATH 340 or 332, with a minimum grade of C- and MACM 201 with a grade of at least B-. Quantitative.

MATH 447 - Coding Theory (3)

An introduction to the theory and practice of error-correcting codes. Topics will include finite fields, polynomial rings, linear and non-linear codes, BCH codes, convolutional codes, majority logic decoding, weight distribution of codes, and bounds on the size of codes. Prerequisite: MATH 340 or 332, with a minimum grade of C-. Quantitative.

and one of

MATH 320 - Introduction to Analysis II (3)

Sequences and series of functions, topology of sets in Euclidean space, introduction to metric spaces, functions of several variables. Prerequisite: MATH 242 and 251, with a minimum grade of C-. Quantitative.

MATH 322 - Complex Variables (3)

Functions of a complex variable, differentiability, contour integrals, Cauchy's theorem, Taylor and Laurent expansions, method of residues. Prerequisite: MATH 251 with a minimum grade of C-. Students with credit for MATH 424 may not take this course for further credit. Quantitative.

and one of

MATH 338 - Advanced Linear Algebra (3)

Linear Algebra. Vector space and matrix theory. Prerequisite: MATH 340 or 332, with a minimum grade of C- or permission of the instructor. Students with credit for MATH 438 may not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
Imin Chen
Jaskaran Kaur
May 8 – Aug 4, 2023: Wed, 3:30–4:20 p.m.
May 8 – Aug 4, 2023: Fri, 2:30–4:20 p.m.
Burnaby
Burnaby
D102 May 8 – Aug 4, 2023: Wed, 12:30–1:20 p.m.
Burnaby
MATH 341 - Algebra III: Groups (3)

Finite groups and subgroups. Cyclic groups and permutation groups. Cosets, normal subgroups and factor groups. Homomorphisms and isomorphisms. Fundamental theorem of finite abelian groups. Sylow theorems. Prerequisite: MATH 340 or 342 or 332, with a minimum grade of C-. Students with credit for MATH 339 may not take this course for further credit.

MATH 342 - Elementary Number Theory (3)

The prime numbers, unique factorization, congruences and quadratic reciprocity. Topics include the RSA public key cryptosystem and the prime number theorem. Prerequisite: MATH 240 or 232, with a minimum grade of C-, and one additional 200-level MATH or MACM course. Quantitative.

Section Instructor Day/Time Location
Imin Chen
Jonathan Jedwab
May 8 – Aug 4, 2023: Mon, 2:30–4:20 p.m.
May 8 – Aug 4, 2023: Wed, 2:30–3:20 p.m.
Burnaby
Burnaby
D101 May 8 – Aug 4, 2023: Wed, 10:30–11:20 a.m.
Burnaby
D102 May 8 – Aug 4, 2023: Wed, 11:30 a.m.–12:20 p.m.
Burnaby
D103 May 8 – Aug 4, 2023: Wed, 9:30–10:20 a.m.
Burnaby

and one of

MACM 316 - Numerical Analysis I (3)

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

Section Instructor Day/Time Location
Jane MacDonald
May 8 – Aug 4, 2023: Mon, Wed, Fri, 10:30–11:20 a.m.
Burnaby
D101 May 8 – Aug 4, 2023: Wed, 2:30–3:20 p.m.
Burnaby
D102 May 8 – Aug 4, 2023: Wed, 3:30–4:20 p.m.
Burnaby
D103 May 8 – Aug 4, 2023: Wed, 4:30–5:20 p.m.
Burnaby
D104 May 8 – Aug 4, 2023: Thu, 9:30–10:20 a.m.
Burnaby
D105 May 8 – Aug 4, 2023: Thu, 10:30–11:20 a.m.
Burnaby
D106 May 8 – Aug 4, 2023: Thu, 11:30 a.m.–12:20 p.m.
Burnaby
D107 May 8 – Aug 4, 2023: Wed, 4:30–5:20 p.m.
Burnaby
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.

MATH 348 - Introduction to Probabilistic Models (3)

Review of the basics of probability, including sample space, random variables, expectation and conditioning. Applications of Markov chains, the exponential distribution and the Poisson process from science and industry. Applications may include inventory theory, queuing, forecasting, scheduling and simulation. Prerequisite: STAT 270 and (MATH 232 or MATH 240), all with a minimum grade of C-. Quantitative.

MATH 360 - Modeling with Ordinary Differential Equations (3)

Formulation, analysis and simulation of continuous mathematical models. Applications may be selected from topics in physics, biology, engineering and economics. Prerequisite: MATH 251 and MATH 260, with a minimum grade of C-. Students with credit for MATH 461 or MATH 761 may not complete this course for further credit. Quantitative.

The remaining 15 units can be chosen from any upper division MATH or MACM course. Up to six of the 15 units can be chosen from the list below.

PHIL 345W - Philosophy of Mathematics (3)

Examines central philosophical issues related to mathematics. Topics may include the metaphysical status of mathematical entities, mathematical knowledge, set theory and others. Prerequisite: One of PHIL 110, 210, 314, 315 or MACM 101. Writing.

PHYS 413 - Advanced Mechanics (3)

Central forces, rigid body motion, small oscillations. Lagrangian and Hamiltonian formulations of mechanics. Prerequisite: PHYS 384 or permission of the department. Non-physics majors may enter with MATH 252; MATH 260 or MATH 310; PHYS 211. All prerequisite courses require a minimum grade of C-. Quantitative.

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

Within the 30 program units, students must complete nine units of 400 level course work, as outlined below (excluding directed studies, job practicum, or honours essay courses):

  • six units of MATH or MACM courses
  • three units of courses from the list of PHYS and STAT courses above (within the six allowed units) or three units of any other MATH or MACM course.

NOTE: ¶¡ÏãÔ°AV 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: /gradstudies/apply/programs/accelerated-masters.html.

Elective Courses

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

University Degree Requirements

Students must also satisfy University degree requirements for degree completion.

Writing, Quantitative, and Breadth Requirements

Students admitted to ¶¡ÏãÔ°AV 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 ¶¡ÏãÔ°AV within the student’s major subject
Q - Quantitative

6

Q courses may be lower or upper division
B - Breadth

18

Designated Breadth Must be outside the student’s major subject, and may be lower or upper division
6 units Social Sciences: B-Soc
6 units Humanities: B-Hum
6 units Sciences: B-Sci

6

Additional Breadth 6 units outside the student’s major subject (may or may not be B-designated courses, and will likely help fulfil individual degree program requirements)

Students choosing to complete a joint major, joint honours, double major, two extended minors, an extended minor and a minor, or two minors may satisfy the breadth requirements (designated or not designated) with courses completed in either one or both program areas.

Ìý

Residency Requirements and Transfer Credit

  • At least half of the program's total units must be earned through ¶¡ÏãÔ°AV study.
  • At least two thirds of the program's total upper division units must be earned through ¶¡ÏãÔ°AV study.