Please note:
To view the Fall 2021 Academic Calendar, go to www.sfu.ca/students/calendar/2021/fall.html.
Department of Mathematics  Faculty of Science Simon Fraser University Calendar  Spring 2022
Mathematics and Computing Science Joint Major
This program is offered cooperatively 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.
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
Students complete 120 units as specified below.
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. The program is subject to Faculty of Science and University regulations.
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 highlevel 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 problemsolving 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/BreadthScience.
Section  Instructor  Day/Time  Location 

D100 
Diana Cukierman 
Mo, We 8:30 AM – 9:20 AM Fr 8:30 AM – 9:20 AM 
SWH 10081, Burnaby SSCB 9201, Burnaby 
D200 
Diana Cukierman 
Mo, We, Fr 1:30 PM – 2:20 PM 
WMC 3520, Burnaby 
D400 
John Edgar 
Mo, We, Fr 8:30 AM – 9:20 AM 
SRYE 1002, Surrey 
D401 
John Edgar 
Mo 9:30 AM – 10:20 AM 
SRYE 4013, Surrey 
D402 
John Edgar 
Mo 9:30 AM – 10:20 AM 
SRYE 4024, Surrey 
D403 
John Edgar 
Mo 10:30 AM – 11:20 AM 
SRYE 4013, Surrey 
D404 
John Edgar 
Mo 10:30 AM – 11:20 AM 
SRYE 4024, Surrey 
D405 
John Edgar 
Mo 1:30 PM – 2:20 PM 
SRYE 4013, Surrey 
D406 
John Edgar 
Mo 1:30 PM – 2:20 PM 
SRYE 4024, Surrey 
D407 
John Edgar 
Mo 12:30 PM – 1:20 PM 
SRYE 4013, Surrey 
D408 
John Edgar 
Mo 12:30 PM – 1:20 PM 
SRYE 4024, 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; objectoriented 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 

D100 
Victor Cheung 
We 1:30 PM – 2:20 PM Fr 12:30 PM – 2:20 PM 
AQ 3182, Burnaby SSCB 9201, Burnaby 
D101 
Victor Cheung 
Th 9:30 AM – 10:20 AM 
ASB 9898, Burnaby 
D102 
Victor Cheung 
Th 9:30 AM – 10:20 AM 
ASB 9898, Burnaby 
D103 
Victor Cheung 
Th 10:30 AM – 11:20 AM 
ASB 9898, Burnaby 
D104 
Victor Cheung 
Th 10:30 AM – 11:20 AM 
ASB 9898, Burnaby 
D105 
Victor Cheung 
Th 11:30 AM – 12:20 PM 
ASB 9898, Burnaby 
D106 
Victor Cheung 
Th 11:30 AM – 12:20 PM 
ASB 9898, Burnaby 
D107 
Victor Cheung 
Th 12:30 PM – 1:20 PM 
ASB 9898, Burnaby 
D108 
Victor Cheung 
Th 12:30 PM – 1:20 PM 
ASB 9898, Burnaby 
D200 
Igor Shinkar 
Mo 4:30 PM – 6:20 PM We 5:30 PM – 6:20 PM 
SSCC 9001, Burnaby SSCB 9201, Burnaby 
D201 
Igor Shinkar 
Tu 9:30 AM – 10:20 AM 
ASB 9898, Burnaby 
D202 
Igor Shinkar 
Tu 9:30 AM – 10:20 AM 
ASB 9898, Burnaby 
D203 
Igor Shinkar 
Tu 10:30 AM – 11:20 AM 
ASB 9898, Burnaby 
D204 
Igor Shinkar 
Tu 10:30 AM – 11:20 AM 
ASB 9898, Burnaby 
D205 
Igor Shinkar 
Tu 11:30 AM – 12:20 PM 
ASB 9898, Burnaby 
D206 
Igor Shinkar 
Tu 11:30 AM – 12:20 PM 
ASB 9898, Burnaby 
D207 
Igor Shinkar 
Tu 12:30 PM – 1:20 PM 
ASB 9898, Burnaby 
D208 
Igor Shinkar 
Tu 12:30 PM – 1:20 PM 
ASB 9898, 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/BreadthScience.
Section  Instructor  Day/Time  Location 

D100 
Brian Fraser 
Mo, We, Fr 9:30 AM – 10:20 AM 
SRYE 1002, Surrey 
D101 
Brian Fraser 
Th 10:30 AM – 11:20 AM 
SRYE 4013, Surrey 
D102 
Brian Fraser 
Th 10:30 AM – 11:20 AM 
SRYE 4024, Surrey 
D103 
Brian Fraser 
Th 11:30 AM – 12:20 PM 
SRYE 4013, Surrey 
D104 
Brian Fraser 
Th 11:30 AM – 12:20 PM 
SRYE 4024, Surrey 
D105 
Brian Fraser 
Th 12:30 PM – 1:20 PM 
SRYE 4013, Surrey 
D106 
Brian Fraser 
Th 12:30 PM – 1:20 PM 
SRYE 4024, Surrey 
D107 
Brian Fraser 
Th 1:30 PM – 2:20 PM 
SRYE 4013, Surrey 
D108 
Brian Fraser 
Th 1:30 PM – 2:20 PM 
SRYE 4024, Surrey 
A second course in systemsoriented programming and computing science that builds upon the foundation set in CMPT 130 using a systemsoriented language such as C or C++. Topics: a review of the basic elements of programming; introduction to objectoriented 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.
Section  Instructor  Day/Time  Location 

D200 
Toby Donaldson 
Mo 12:30 PM – 2:20 PM We 12:30 PM – 1:20 PM 
SRYE 1002, Surrey SRYE 1002, Surrey 
D201 
Toby Donaldson 
We 10:30 AM – 11:20 AM 
SRYE 4024, Surrey 
D202 
Toby Donaldson 
We 10:30 AM – 11:20 AM 
SRYE 3024, Surrey 
D203 
Toby Donaldson 
We 2:30 PM – 3:20 PM 
SRYE 3024, Surrey 
D204 
Toby Donaldson 
We 1:30 PM – 2:20 PM 
SRYE 4024, Surrey 
D205 
Toby Donaldson 
We 1:30 PM – 2:20 PM 
SRYE 3024, Surrey 
D206 
Toby Donaldson 
We 8:30 AM – 9:20 AM 
SRYE 4024, Surrey 
D207 
Toby Donaldson 
We 8:30 AM – 9:20 AM 
SRYE 3024, Surrey 
D208 
Toby Donaldson 
We 1:30 PM – 2:20 PM 
SRYE 4013, Surrey 
and all of
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; objectoriented 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 
We 3:30 PM – 4:20 PM Fr 2:30 PM – 4:20 PM 
SRYE 1002, Surrey SRYE 1002, Surrey 
D101 
John Edgar 
Tu 11:30 AM – 12:20 PM 
SRYE 4024, Surrey 
D102 
John Edgar 
Tu 11:30 AM – 12:20 PM 
SRYE 4013, Surrey 
D103 
John Edgar 
Tu 12:30 PM – 1:20 PM 
SRYE 4024, Surrey 
D104 
John Edgar 
Tu 12:30 PM – 1:20 PM 
SRYE 4013, Surrey 
D105 
John Edgar 
Tu 1:30 PM – 2:20 PM 
SRYE 4024, Surrey 
D106 
John Edgar 
Tu 1:30 PM – 2:20 PM 
SRYE 4013, Surrey 
D107 
John Edgar 
Tu 2:30 PM – 3:20 PM 
SRYE 4024, Surrey 
D108 
John Edgar 
Tu 2:30 PM – 3:20 PM 
SRYE 4013, Surrey 
D200 
Anne Lavergne 
Mo, We, Fr 1:30 PM – 2:20 PM 
SSCB 9200, Burnaby 
D201 
Anne Lavergne 
Tu 1:30 PM – 2:20 PM 
ASB 9898, Burnaby 
D202 
Anne Lavergne 
Tu 1:30 PM – 2:20 PM 
ASB 9898, Burnaby 
D203 
Anne Lavergne 
Tu 2:30 PM – 3:20 PM 
ASB 9898, Burnaby 
D204 
Anne Lavergne 
Tu 2:30 PM – 3:20 PM 
ASB 9898, Burnaby 
D205 
Anne Lavergne 
Tu 3:30 PM – 4:20 PM 
ASB 9898, Burnaby 
D206 
Anne Lavergne 
Tu 3:30 PM – 4:20 PM 
ASB 9898, Burnaby 
D207 
Anne Lavergne 
Tu 4:30 PM – 5:20 PM 
ASB 9898, Burnaby 
D208 
Anne Lavergne 
Tu 4:30 PM – 5:20 PM 
ASB 9898, 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 
Anne Lavergne 
Mo 2:30 PM – 3:20 PM Th 2:30 PM – 4:20 PM 
SWH 10081, Burnaby AQ 3182, Burnaby 
D101 
Anne Lavergne 
We 1:30 PM – 2:20 PM 
ASB 9898, Burnaby 
D102 
Anne Lavergne 
We 1:30 PM – 2:20 PM 
ASB 9898, Burnaby 
D103 
Anne Lavergne 
We 2:30 PM – 3:20 PM 
ASB 9898, Burnaby 
D104 
Anne Lavergne 
We 2:30 PM – 3:20 PM 
ASB 9898, Burnaby 
D105 
Anne Lavergne 
We 3:30 PM – 4:20 PM 
ASB 9898, Burnaby 
D106 
Anne Lavergne 
We 3:30 PM – 4:20 PM 
ASB 9898, Burnaby 
D107 
Anne Lavergne 
We 4:30 PM – 5:20 PM 
ASB 9898, Burnaby 
D108 
Anne Lavergne 
We 4:30 PM – 5:20 PM 
ASB 9898, Burnaby 
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/BreadthScience.
Section  Instructor  Day/Time  Location 

D100 
Milan Tofiloski 
Tu 4:30 PM – 6:20 PM Th 4:30 PM – 5:20 PM 
AQ 3182, Burnaby AQ 3182, Burnaby 
D101 
Milan Tofiloski 
Th 3:30 PM – 4:20 PM 
WMC 2523, Burnaby 
D102 
Milan Tofiloski 
Th 3:30 PM – 4:20 PM 
BLU 9655, Burnaby 
D103 
Milan Tofiloski 
Th 1:30 PM – 2:20 PM 
BLU 11901, Burnaby 
D104 
Milan Tofiloski 
Th 1:30 PM – 2:20 PM 
BLU 10901, Burnaby 
D105 
Milan Tofiloski 
Th 2:30 PM – 3:20 PM 
BLU 9655, Burnaby 
D106 
Milan Tofiloski 
Th 2:30 PM – 3:20 PM 
AQ 5009, Burnaby 
D107 
Milan Tofiloski 
Th 5:30 PM – 6:20 PM 
WMC 2533, Burnaby 
D108 
Milan Tofiloski 
Th 5:30 PM – 6:20 PM 
AQ 5047, Burnaby 
D200 
Harinder Khangura 
Mo 2:30 PM – 4:20 PM We 2:30 PM – 3:20 PM 
SRYE 1002, Surrey SRYE 1002, Surrey 
D201 
Harinder Khangura 
Th 1:30 PM – 2:20 PM 
SRYE 3024, Surrey 
D202 
Harinder Khangura 
Th 2:30 PM – 3:20 PM 
SRYE 3024, Surrey 
D203 
Harinder Khangura 
Th 2:30 PM – 3:20 PM 
SRYE 4013, Surrey 
D204 
Harinder Khangura 
Th 3:30 PM – 4:20 PM 
SRYE 3024, Surrey 
D205 
Harinder Khangura 
Th 3:30 PM – 4:20 PM 
SRYE 4013, Surrey 
D206 
Harinder Khangura 
Th 3:30 PM – 4:20 PM 
SRYE 4024, Surrey 
D207 
Harinder Khangura 
Th 4:30 PM – 5:20 PM 
SRYE 3024, Surrey 
D208 
Harinder Khangura 
Th 4:30 PM – 5:20 PM 
SRYE 4013, Surrey 
A continuation of MACM 101. Topics covered include graph theory, trees, inclusionexclusion, 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 
Bojan Mohar 
Mo, We, Fr 12:30 PM – 1:20 PM 
AQ 3181, Burnaby 
D200 
Mahdieh Malekian 
Mo, We, Fr 8:30 AM – 9:20 AM 
SRYC 5280, Surrey 
D300 
Amarpreet Rattan 
Mo, We, Fr 4:30 PM – 5:20 PM 
EDB 7618, Burnaby 
OP01  TBD  
OP02  TBD  
OP03  TBD 
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.
Section  Instructor  Day/Time  Location 

D100 
Nathan Ilten 
Mo, We, Fr 1:30 PM – 2:20 PM 
AQ 3003, Burnaby 
D101 
Th 2:30 PM – 3:20 PM 
AQ 5030, Burnaby 

D102 
Th 3:30 PM – 4:20 PM 
AQ 5030, Burnaby 

D103 
Th 4:30 PM – 5:20 PM 
AQ 5007, 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 
Veselin Jungic 
Mo 8:30 AM – 9:20 AM We, Fr 8:30 AM – 9:20 AM 
SSCB 9201, Burnaby AQ 3181, Burnaby 
OP01  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 
Derek Bingham 
Mo, We, Fr 9:30 AM – 10:20 AM 
WMC 3520, Burnaby 
D900 
Wei Lin 
Mo 2:30 PM – 4:20 PM We 2:30 PM – 3:20 PM 
SRYC 3310, Surrey SRYC 3310, Surrey 
OL01 
Tim Swartz 
TBD  
OP01  TBD  
OP09  TBD 
and either
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 
Mo 8:30 AM – 9:20 AM Th 8:30 AM – 10:20 AM 
AQ 3005, Burnaby AQ 3003, Burnaby 
D200 
Bobby Chan 
Mo, We, Fr 10:30 AM – 11:20 AM 
SRYE 2016, Surrey 
or both of
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: largescale 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.
Section  Instructor  Day/Time  Location 

D100 
Petr Lisonek 
Tu 2:30 PM – 3:20 PM 
BLU 10011, Burnaby 
D101 
We 2:30 PM – 3:20 PM 
AQ 3148.2, Burnaby 

D102 
We 3:30 PM – 4:20 PM 
AQ 3148.2, Burnaby 
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, multidimensional 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.
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: PreCalculus 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 
Mahsa Faizrahnemoon 
Mo, Tu, We, Fr 8:30 AM – 9:20 AM 
AQ 3182, Burnaby 
D200 
Natalia Kouzniak 
Mo, We, Fr 11:30 AM – 12:20 PM We 1:30 PM – 2:20 PM 
SRYC 3170, Surrey SRYC 3170, Surrey 
OP01  TBD  
OP02  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: PreCalculus 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.
Designed for students specializing in the biological and medical sciences. Topics include: limits, growth rate and the derivative; elementary functions, optimization and approximation methods, and their applications; mathematical models of biological processes. Prerequisite: PreCalculus 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 
Luis Goddyn 
Mo, We, Fr 8:30 AM – 9:20 AM 
SSCB 9200, Burnaby 
OP01  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: PreCalculus 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 
Stephen Choi 
Mo, We, Fr 11:30 AM – 12:20 PM 
SSCB 9201, Burnaby 
D200 
Sarah Nataj 
Mo, We, Fr 12:30 PM – 1:20 PM 
SRYC 3090, 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. Firstorder 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 
Nils Bruin 
Mo, We, Fr 8:30 AM – 9:20 AM 
SSCC 9001, Burnaby 
D200 
Randall Pyke 
Mo, We, Fr 11:30 AM – 12:20 PM 
SRYC 5280, Surrey 
OP01  TBD  
OP02  TBD  
OP03  TBD 
Designed for students specializing in the biological and medical sciences. Topics include: the integral, partial derivatives, differential equations, linear systems, and their applications; mathematical models of biological processes. 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 

D100 
Jamie Mulholland 
Mo, We, Fr 8:30 AM – 9:20 AM 
RCB IMAGTH, Burnaby 
D200 
JF Williams 
Mo, We, Fr 9:30 AM – 10:20 AM 
SRYC 5280, Surrey 
OP01  TBD  
OP02  TBD 
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 firstorder 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.
Section  Instructor  Day/Time  Location 

E100 
Razvan Fetecau 
Mo 4:30 PM – 5:20 PM We 4:30 PM – 6:20 PM 
SWH 10081, Burnaby SSCC 9001, Burnaby 
OP01  TBD 
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 
Brenda Davison 
Mo, We, Fr 11:30 AM – 12:20 PM 
SSCC 9001, Burnaby 
D200 
Randall Pyke 
Mo, We, Fr 2:30 PM – 3:20 PM 
SRYC 5280, Surrey 
OP01  TBD  
OP02  TBD 
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 
Jake Levinson 
Mo, We, Fr 11:30 AM – 12:20 PM 
AQ 3149, Burnaby 
OL01  TBD 
* strongly recommended
** with a B grade or better
+ 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 Application (3) for MACM 203. MACM 401  Introduction to Computer Algebra (3) for MACM 204. MACM 442  Cryptography (3) for MACM 204.
Upper Division Requirements
Students complete at least 45 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 NPcompleteness. Prerequisite: CMPT 225, MACM 201, (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 
Brad Bart 
We 11:30 AM – 12:20 PM Fr 10:30 AM – 12:20 PM 
RCB IMAGTH, Burnaby RCB IMAGTH, Burnaby 
D200 
Brad Bart 
We 3:30 PM – 4:20 PM Fr 2:30 PM – 4:20 PM 
SSCK 9500, Burnaby SSCC 9001, 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 
Steven Ruuth 
Mo, We 12:30 PM – 1:20 PM Fr 12:30 PM – 1:20 PM 
SSCB 9201, Burnaby SSCC 9001, Burnaby 
D101 
We 2:30 PM – 3:20 PM 
WMC 2830, Burnaby 

D102 
We 3:30 PM – 4:20 PM 
WMC 2830, Burnaby 

D103 
We 4:30 PM – 5:20 PM 
WMC 2830, Burnaby 

D104 
Th 9:30 AM – 10:20 AM 
WMC 2830, Burnaby 

D105 
Th 10:30 AM – 11:20 AM 
WMC 3220, Burnaby 

D106 
Th 11:30 AM – 12:20 PM 
WMC 2830, Burnaby 

D107 
Th 4:30 PM – 5:20 PM 
WMC 3510, 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.
and one of
This course aims to give the student an understanding of what a modern operating system is, and the services it provides. It also discusses some basic issues in operating systems and provides solutions. Topics include multiprogramming, process management, memory management, and file systems. Prerequisite: CMPT 225 and (CMPT 295 or ENSC 254), all with a minimum grade of C.
Section  Instructor  Day/Time  Location 

D100 
Hazra Imran 
Tu 8:30 AM – 10:20 AM Fr 8:30 AM – 9:20 AM 
SWH 10081, Burnaby SSCK 9500, Burnaby 
E100 
Harinder Khangura 
We 4:30 PM – 5:20 PM Fr 4:30 PM – 6:20 PM 
SRYE 1002, Surrey SRYE 1002, Surrey 
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 
Janice Regan 
Mo, We, Fr 12:30 PM – 1:20 PM 
SWH 10041, 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, (CMPT 295 or ENSC 215) and CMPT 225, all with a minimum grade of C.
and one of
Linear programming modelling. The simplex method and its variants. Duality theory. Postoptimality 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 
Mo, We, Fr 2:30 PM – 3:20 PM 
AQ 3150, Burnaby 
D101 
Tu 2:30 PM – 3:20 PM 
WMC 2830, Burnaby 

D102 
Tu 3:30 PM – 4:20 PM 
WMC 2830, Burnaby 

D103 
Tu 4:30 PM – 5:20 PM 
WMC 2830, Burnaby 
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.
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.
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.
and additional work is required to total 21 upper division MATH and 24 upper division CMPT units. MACM are counted in an alternating fashion toward the MATH and CMPT requirements, starting with the first MACM course completed, counting toward either MATH or CMPT. 12 units must be at the 400 division or higher, including at least three units each of CMPT and MATH.
Other Requirements
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 2.00 or better. Students must also achieve a 2.00 or better CGPA and UDGPA in each of the CMPT, MACM and MATH designations. Faculty of Applied Sciences residency requirements apply to the computing science courses used toward the program.
Cooperative 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 coop 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 coop experience.
Visit http://www.sfu.ca/computing/prospectivestudents/undergraduatestudents/cooperativeeducation.html for more computing science information, or for mathematics, http://www.sfu.ca/coop/contact#science.
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 universitywide 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  
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: BSoc 6 units Humanities: BHum 6 units Sciences: BSci 
6 
Additional Breadth  6 units outside the student’s major subject (may or may not be Bdesignated 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.