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School of Computing Science | Faculty of Applied Sciences Simon Fraser University Calendar | Fall 2022

Software Systems Major

Bachelor of Science

This program provides the skills, knowledge and thought processes necessary for professional software production, while also providing a broad background of various computing systems that graduates encounter in their careers. Visit www.cs.sfu.ca for further information.

Admission Requirements

Entry into Computing Science programs is possible via

  • direct admission from high school
  • direct transfer from a recognized post-secondary institution, or combined transfer units from more than one post-secondary institution
  • internal transfer from within Simon Fraser University

Admission is competitive. A separate admission average for each entry route is established each term, depending on spaces available and subject to the approval of the Dean of Applied Sciences. Admission averages are calculated over a set of courses satisfying particular breadth constraints.

Consult an Applied Sciences advisor for requirements governing high school direct entry or direct transfer from another post-secondary institution.

Internal Transfer

Internal transfer allows students to transfer, within Simon Fraser University, from one faculty to another.

Simon Fraser University students applying for School of Computing Science admission are selected on the basis of an admission Computing Related Grade Point Average (CRGPA) and Cumulative Grade Point Average (CGPA). The CRGPA is computed from all courses the student has taken from the following: (CMPT 120, 128 or 130), (CMPT 125, 129 or 135), CMPT 225, (CMPT 275 or 276), CMPT 295, CMPT 300, CMPT 307, MACM 101, (CMPT 210 or MACM 201), MACM 316. Applicants must have completed at least one MACM course and at least two CMPT courses from this list before applying. At least two courses used in the CRGPA calculation must have been taken at SFU. 

No course may be included in the average if it is a duplicate of any previous course completed at Simon Fraser University or elsewhere.

The average for admission based on internal transfer is competitive and the school sets competitive averages each term.

The CRGPA minimum average is 2.67 and the CGPA minimum average is 2.40 - the competitive averages will never be below these minima.

Continuation Requirements

Students who do not maintain at least a 2.40 CGPA, will be placed on probation in the School. Courses available to probationary students may be limited. Each term, these students must consult an advisor prior to enrollment and must achieve either a term 2.40 term GPA or an improved CGPA. Students who fail to do so may be removed from the program.

Reinstatement from probationary standing occurs when the CGPA improves to 2.40 or better and is maintained.

Graduation Requirements

A GPA of 2.00 must be obtained for upper division courses used to fulfill the program requirements.

Prerequisite Grade Requirement

Computing Science course entry requires a grade of C- or better in each prerequisite course.

A minimum 2.40 CGPA is required for 200, 300 and 400 division CMPT courses. For complete information, contact an Applied Sciences Advisor.

Program Requirements

For specific program information and course plans consult an Applied Sciences Advisor.

Lower Division Requirements

Students must complete the courses listed below. It is suggested that students complete a recommended schedule of courses within the first two years.

Students complete one of

CMPT 105W - Social Issues and Communication Strategies in Computing Science (3)

This course teaches the fundamentals of informative and persuasive communication for professional engineers and computer scientists. A principal goal of this course is to assist students in thinking critically about various contemporary technical, social, and ethical issues. It focuses on communicating technical information clearly and concisely, managing issues of persuasion when communicating with diverse audiences, presentation skills, and teamwork. Students with credit for ENSC 102, ENSC 105W, MSE 101W or SEE 101W may not take CMPT 105W for further credit. Writing.

Section Instructor Day/Time Location
D100 Herbert Tsang
Mo 12:30 PM – 2:20 PM
We 12:30 PM – 1:20 PM
AQ 3154, Burnaby
AQ 3153, Burnaby
D200 Harinder Khangura
Mo, We, Fr 12:30 PM – 1:20 PM
SRYE 2016, Surrey
ENSC 105W - Process, Form, and Convention in Professional Genres (3)

The course teaches fundamentals of informative and persuasive communication for professional engineers and computer scientists in order to assist students in thinking critically about various contemporary technical, social, and ethical issues. It focuses on communicating technical information clearly and concisely, managing issues of persuasion when communicating with diverse audiences, presentation skills, and teamwork. Corequisite: CMPT 106, ENSC 100 or ENSC 106. Students with credit for CMPT 105W, ENSC 102, MSE 101W or SEE 101W may not take ENSC 105W for further credit. Writing.

Section Instructor Day/Time Location
D100 Michael Sjoerdsma
Mo, We, Fr 12:30 PM – 1:20 PM
WMC 3520, Burnaby
MSE 101W - Process, Form, and Convention in Professional Genres (3)

The course teaches fundamentals of informative and persuasive communication for professional engineers and computer scientists in order to assist students in thinking critically about various contemporary technical, social, and ethical issues. It focuses on communicating technical information clearly and concisely, managing issues of persuasion when communicating with diverse audiences, presentation skills, and teamwork. Students with credit for CMPT 105W, SEE 101W, ENSC 102 or ENSC 105W may not take MSE 101W for further credit. Writing.

SEE 101W - Process, Form and Convention in Professional Genres (3)

Fundamentals of communicating technical information clearly and concisely for professional engineers. A focus on communicating persuasively about various contemporary technical, social, ethical and environmental issues with technical and non-technical audiences. Students will practice providing constructive feedback to peers, giving presentations and working in a team. Students with credit for CMPT 105W, ENSC 102, ENSC 105W, or MSE 101W may not take this course for further credit. Writing.

Section Instructor Day/Time Location
D100 Vivian Neal
Tu 2:30 PM – 4:20 PM
Fr 2:30 PM – 3:20 PM
SRYE 4016, Surrey
SRYE 4016, Surrey
D101 Vivian Neal
Th 10:30 AM – 11:20 AM
SRYE 4016, Surrey
D102 Vivian Neal
Th 11:30 AM – 12:20 PM
SRYE 4016, Surrey
D103 Vivian Neal
Th 4:30 PM – 5:20 PM
SRYE 4016, Surrey
D104 Vivian Neal
Th 5:30 PM – 6:20 PM
SRYE 4016, Surrey

and all 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
Mo, We, Fr 10:30 AM – 11:20 AM
SRYE 1002, Surrey
D101 Brian Fraser
We 9:30 AM – 10:20 AM
SRYE 4024, Surrey
D102 Brian Fraser
We 11:30 AM – 12:20 PM
SRYE 4024, Surrey
D103 Brian Fraser
We 11:30 AM – 12:20 PM
SRYE 3024, Surrey
D104 Brian Fraser
We 12:30 PM – 1:20 PM
SRYE 3024, Surrey
D105 Brian Fraser
We 1:30 PM – 2:20 PM
SRYE 4024, Surrey
D106 Brian Fraser
We 1:30 PM – 2:20 PM
SRYE 3024, Surrey
D107 Brian Fraser
We 2:30 PM – 3:20 PM
SRYE 4024, Surrey
D108 Brian Fraser
We 2:30 PM – 3:20 PM
SRYE 3024, 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.

CMPT 213 - Object Oriented Design in Java (3)

An introduction to object oriented design using Java. The Java programming language is introduced, with an emphasis on its advanced features. The course covers the building blocks of object oriented design including inheritance, polymorphism, interfaces and abstract classes. A number of object oriented design patterns are presented, such as observer, iterator, and singleton. The course also teaches best-practices in code construction. It includes a basic introduction to programming event driven graphical user interfaces. Prerequisite: CMPT 225 with a minimum grade of C-. Students with credit for CMPT 212 cannot take this course for further credit.

Section Instructor Day/Time Location
D100 Bobby Chan
Mo, We, Fr 8:30 AM – 9:20 AM
SRYE 1002, Surrey
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 David Mitchell
Mo, We, Fr 1:30 PM – 2:20 PM
WMC 3520, Burnaby
D101 David Mitchell
Tu 8:30 AM – 9:20 AM
ASB 9838, Burnaby
D102 David Mitchell
Tu 8:30 AM – 9:20 AM
ASB 9838, Burnaby
D103 David Mitchell
Tu 9:30 AM – 10:20 AM
ASB 9838, Burnaby
D104 David Mitchell
Tu 9:30 AM – 10:20 AM
ASB 9838, Burnaby
D105 David Mitchell
Tu 10:30 AM – 11:20 AM
ASB 9838, Burnaby
D106 David Mitchell
Tu 10:30 AM – 11:20 AM
ASB 9838, Burnaby
D107 David Mitchell
Tu 11:30 AM – 12:20 PM
ASB 9838, Burnaby
D108 David Mitchell
Tu 11:30 AM – 12:20 PM
ASB 9838, Burnaby
D200 Anne Lavergne
Tu 2:30 PM – 4:20 PM
Fr 2:30 PM – 3:20 PM
SRYE 2016, Surrey
SRYE 2016, Surrey
D201 Anne Lavergne
Mo 2:30 PM – 3:20 PM
SRYE 4024, Surrey
D202 Anne Lavergne
Mo 2:30 PM – 3:20 PM
SRYE 4013, Surrey
D203 Anne Lavergne
Mo 4:30 PM – 5:20 PM
SRYE 4024, Surrey
D204 Anne Lavergne
Mo 4:30 PM – 5:20 PM
SRYE 4013, Surrey
D205 Anne Lavergne
Mo 5:30 PM – 6:20 PM
SRYE 4024, Surrey
CMPT 276 - Introduction to Software Engineering (3)

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, We, Fr 10:30 AM – 11:20 AM
AQ 3149, Burnaby
D200 Rob Cameron
Mo 5:30 PM – 8:20 PM
AQ 3149, Burnaby
D300 Brian Fraser
Mo, We, Fr 1:30 PM – 2:20 PM
SRYE 3016, Surrey
CMPT 295 - Introduction to Computer Systems (3)

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 Alaa Alameldeen
Arrvindh Shriraman
Mo 4:30 PM – 5:20 PM
Th 4:30 PM – 6:20 PM
SSCC 9001, Burnaby
SSCC 9001, Burnaby
D101 Alaa Alameldeen
Arrvindh Shriraman
Tu 3:30 PM – 4:20 PM
ASB 9838, Burnaby
D102 Alaa Alameldeen
Arrvindh Shriraman
Tu 3:30 PM – 4:20 PM
ASB 9838, Burnaby
D103 Alaa Alameldeen
Arrvindh Shriraman
Tu 3:30 PM – 4:20 PM
ASB 9838, Burnaby
D104 Alaa Alameldeen
Arrvindh Shriraman
Tu 4:30 PM – 5:20 PM
ASB 9838, Burnaby
D105 Alaa Alameldeen
Arrvindh Shriraman
Tu 4:30 PM – 5:20 PM
ASB 9838, Burnaby
D106 Alaa Alameldeen
Arrvindh Shriraman
Tu 4:30 PM – 5:20 PM
ASB 9838, Burnaby
D107 Alaa Alameldeen
Arrvindh Shriraman
Tu 5:30 PM – 6:20 PM
ASB 9838, Burnaby
D108 Alaa Alameldeen
Arrvindh Shriraman
Tu 5:30 PM – 6:20 PM
ASB 9838, Burnaby
D109 Alaa Alameldeen
Arrvindh Shriraman
Tu 5:30 PM – 6:20 PM
ASB 9838, Burnaby
D110 Alaa Alameldeen
Arrvindh Shriraman
Tu 6:30 PM – 7:20 PM
ASB 9838, Burnaby
D111 Alaa Alameldeen
Arrvindh Shriraman
Tu 6:30 PM – 7:20 PM
ASB 9838, Burnaby
D112 Alaa Alameldeen
Arrvindh Shriraman
Tu 6:30 PM – 7:20 PM
ASB 9838, Burnaby
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
D100 Andrei Bulatov
Mo 11:30 AM – 12:20 PM
We, Fr 11:30 AM – 12:20 PM
SWH 10081, Burnaby
SSCB 9201, Burnaby
D101 Andrei Bulatov
Fr 12:30 PM – 1:20 PM
WMC 2521, Burnaby
D102 Andrei Bulatov
Fr 12:30 PM – 1:20 PM
BLU 10901, Burnaby
D103 Andrei Bulatov
Fr 1:30 PM – 2:20 PM
BLU 10901, Burnaby
D104 Andrei Bulatov
Fr 1:30 PM – 2:20 PM
WMC 2531, Burnaby
D105 Andrei Bulatov
Fr 2:30 PM – 3:20 PM
AQ 2122, Burnaby
D106 Andrei Bulatov
Fr 2:30 PM – 3:20 PM
WMC 3517, Burnaby
D107 Andrei Bulatov
Fr 3:30 PM – 4:20 PM
WMC 2531, Burnaby
D108 Andrei Bulatov
Fr 3:30 PM – 4:20 PM
AQ 5009, Burnaby
D109 Andrei Bulatov
Fr 10:30 AM – 11:20 AM
AQ 5035, Burnaby
D200 Thomas Shermer
We 3:30 PM – 4:20 PM
Fr 2:30 PM – 4:20 PM
SRYE 1002, Surrey
SRYE 1002, Surrey
D201 Thomas Shermer
Tu 2:30 PM – 3:20 PM
SRYC 3240, Surrey
D202 Thomas Shermer
Tu 2:30 PM – 3:20 PM
SRYC 3250, Surrey
D203 Thomas Shermer
Tu 3:30 PM – 4:20 PM
SRYC 3240, Surrey
D204 Thomas Shermer
Tu 3:30 PM – 4:20 PM
SRYC 3250, Surrey
D205 Thomas Shermer
Tu 4:30 PM – 5:20 PM
SRYC 3240, Surrey
D206 Thomas Shermer
Tu 4:30 PM – 5:20 PM
SRYC 5060, Surrey
D207 Thomas Shermer
Tu 5:30 PM – 6:20 PM
SRYC 5060, Surrey
D208 Thomas Shermer
Tu 5:30 PM – 6:20 PM
SRYC 3040, Surrey
MSE 110 - Mechatronics Design I (3)

First year project course designed to provide students with a first exposure to the challenges of project organization. Students are responsible for designing and constructing a mechanical robot optimized to solve a particular chosen task. The engineering challenges of the project are expected to focus half on mechanical design and half on control algorithm design and implementation. Students with credit for ENSC 182 may not take MSE 110 for further credit.

Section Instructor Day/Time Location
D100 Mohammad Narimani
Mo 2:30 PM – 3:20 PM
Th 2:30 PM – 4:20 PM
SRYC 3310, Surrey
SRYC 3310, Surrey
LAB1 Mohammad Narimani
Tu 8:30 AM – 11:20 AM
SRYC 4270, Surrey
LAB2 Mohammad Narimani
Tu 8:30 AM – 11:20 AM
SRYC 4080, Surrey
LAB3 Mohammad Narimani
Tu 11:30 AM – 2:20 PM
SRYC 4270, Surrey
LAB4 Mohammad Narimani
Tu 11:30 AM – 2:20 PM
SRYC 4080, Surrey

and one of

CMPT 210 - Probability and Computing (3)

Probability has become an essential tool in modern computer science with applications in randomized algorithms, computer vision and graphics, systems, data analysis, and machine learning. The course introduces the foundational concepts in probability as required by many modern applications in computing. Prerequisite: MACM 101, MATH 152, and MATH 240, all with a minimum grade of C-.

Section Instructor Day/Time Location
D100 Andrei Bulatov
Mo, We, Fr 9:30 AM – 10:20 AM
AQ 3003, 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.

Section Instructor Day/Time Location
D100 Matthew DeVos
Mo, We, Fr 12:30 PM – 1:20 PM
SSCC 9002, Burnaby
D200 Mo, We, Fr 12:30 PM – 1:20 PM
SWH 10081, Burnaby
OP02 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 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 Sophie Burrill
Mo, We, Fr 8:30 AM – 9:20 AM
SSCB 9201, Burnaby
D101 Tu 8:30 AM – 9:20 AM
WMC 2503, Burnaby
D102 Tu 9:30 AM – 10:20 AM
WMC 2532, Burnaby
D103 Tu 10:30 AM – 11:20 AM
WMC 2503, Burnaby
D104 We 2:30 PM – 3:20 PM
WMC 2810, Burnaby
D105 We 3:30 PM – 4:20 PM
WMC 2810, Burnaby
D200 Jamie Mulholland
Mo, We, Fr 8:30 AM – 9:20 AM
RCB IMAGTH, Burnaby
D201 Tu 8:30 AM – 9:20 AM
AQ 5039, Burnaby
D202 Tu 1:30 PM – 2:20 PM
BLU 10921, Burnaby
D203 Tu 2:30 PM – 3:20 PM
AQ 5037, Burnaby
D204 Fr 2:30 PM – 3:20 PM
RCB 5120, Burnaby
D205 Fr 3:30 PM – 4:20 PM
RCB 5120, Burnaby
D400 Natalia Kouzniak
Mo, We, Fr 9:30 AM – 10:20 AM
SRYE 1002, Surrey
D401 Natalia Kouzniak
Th 12:30 PM – 1:20 PM
SRYC 2740, Surrey
D402 Natalia Kouzniak
Th 2:30 PM – 3:20 PM
SRYC 2740, Surrey
D403 Natalia Kouzniak
Th 1:30 PM – 2:20 PM
SRYC 2740, 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 Sophie Burrill
Mo, We, Fr 8:30 AM – 9:20 AM
SSCB 9201, Burnaby
D200 Jamie Mulholland
Mo, We, Fr 8:30 AM – 9:20 AM
RCB IMAGTH, Burnaby
D400 Natalia Kouzniak
Mo, We, Fr 9:30 AM – 10:20 AM
SRYE 1002, 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 Ailene MacPherson
Mo, We, Fr 8:30 AM – 9:20 AM
SSCC 9001, Burnaby
D400 Ladislav Stacho
Mo, We, Fr 9:30 AM – 10:20 AM
SRYC 5280, 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 Imin Chen
Mo, We, Fr 11:30 AM – 12:20 PM
SSCC 9001, Burnaby
D400 Roghayeh Ebrahim Nataj
Mo, We, Fr 12:30 PM – 1:20 PM
SRYC 5280, 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 Michael Monagan
Mo, We, Fr 8:30 AM – 9:20 AM
SSCB 9200, 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 Brenda Davison
Mo, We, Fr 11:30 AM – 12:20 PM
SSCB 9200, Burnaby
D400 Randall Pyke
Mo, We, Fr 1:30 PM – 2:20 PM
SRYC 2600, Surrey
OP01 TBD
OP02 Mo, We, Fr 1:30 PM – 2:20 PM
,
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 Jake Levinson
Mo, We, Fr 11:30 AM – 12:20 PM
SWH 10041, Burnaby
OP01 TBD

and one of

BUS 232 - Business Statistics (3)

An introduction to business statistics (descriptive and inferential statistics) with a heavy emphasis on applications and the use of EXCEL. Students will be required to use statistical applications to solve business problems. Corequisite: MATH 150, MATH 151, MATH 154, or MATH 157, with a minimum grade of C-; 15 units. Students with credit for BUEC 232 or ECON 233 may not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
D100 We 2:30 PM – 5:20 PM
SSCB 9201, Burnaby
D200 Th 2:30 PM – 5:20 PM
SRYC 3090, Surrey
E100 Mohammad Ghotboddini
Mo 6:00 PM – 8:50 PM
WMC 3520, Burnaby
OP01 Mo 12:30 PM – 4:20 PM
WMC 2303, Burnaby
OP02 Tu 9:30 AM – 1:20 PM
WMC 2303, Burnaby
OP03 We 12:30 PM – 2:20 PM
WMC 2303, Burnaby
OP04 Th 12:30 PM – 2:20 PM
SRYC 3050, Surrey
OP05 Fr 2:30 PM – 4:20 PM
SRYC 3050, Surrey
OP06 Mo 4:30 PM – 5:50 PM
WMC 2303, Burnaby
OP07 Tu 4:30 PM – 6:20 PM
WMC 2303, Burnaby
OP08 We 4:30 PM – 6:20 PM
WMC 2303, Burnaby
OP09 Th 12:30 PM – 2:20 PM
WMC 2303, Burnaby
OP10 Fr 12:30 PM – 2:50 PM
WMC 2303, Burnaby
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 Sonja Isberg
Mo, We, Fr 9:30 AM – 10:20 AM
SSCB 9201, Burnaby
OL01 Distance Education
OP01 TBD
STAT 271 - Probability and Statistics for Computing Science (3)

This is an introductory course in probability and statistics that is designed for Computer Science students. Mainly covers basic probability theory and statistical methods for designing and analyzing computing algorithms and systems. Topics include continuous probability distributions, random variables, multivariate normal distributions, parameter estimation and inference theory, as well as design and analysis of statistical studies, including hypothesis testing and presentation of statistical data. Prerequisite: CMPT 210 with a minimum grade of C-.

Section Instructor Day/Time Location
D100 Gary Parker
Mo 2:30 PM – 4:20 PM
We 2:30 PM – 3:20 PM
SSCC 9000, Burnaby
SSCC 9002, Burnaby
D101 Gary Parker
Fr 11:30 AM – 12:20 PM
AQ 5039, Burnaby
D102 Gary Parker
Fr 12:30 PM – 1:20 PM
AQ 5039, Burnaby

* with a grade of at least B+ and with school permission.

Upper Division Requirements

Students should consult an academic advisor before commencing upper division requirements.

Students complete at least 45 upper division units including

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 David Mitchell
Mo, We, Fr 9:30 AM – 10:20 AM
EDB 7618, Burnaby
CMPT 376W - Technical Writing and Group Dynamics (3)

Covers professional writing in computing science, including format conventions and technical reports. Attention is paid to group dynamics, including team leadership, dispute resolution, cognitive bias, professional ethics and collaborative writing. Research methods are also discussed. The use of LaTeX and various version control tools are emphasized. Prerequisite: CMPT 105W and (CMPT 275 or CMPT 276), with a minimum grade of C-. Students with credit for CMPT 376 may not take this course for further credit. Writing.

Section Instructor Day/Time Location
D100 John Edgar
Mo, We, Fr 9:30 AM – 10:20 AM
SRYE 2016, Surrey

Systems Requirements

Students complete at least 12 upper division units, including

CMPT 300 - Operating Systems I (3)

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
Mo 8:30 AM – 9:20 AM
Th 8:30 AM – 10:20 AM
AQ 3182, Burnaby
SSCK 9500, Burnaby
D200 Harinder Khangura
We 9:30 AM – 10:20 AM
Fr 8:30 AM – 10:20 AM
SRYE 3016, Surrey
SRYE 3016, Surrey

and three of

CMPT 354 - Database Systems I (3)

Logical representations of data records. Data models. Studies of some popular file and database systems. Document retrieval. Other related issues such as database administration, data dictionary and security. Prerequisite: CMPT 225 and (MACM 101 or (ENSC 251 and ENSC 252)), all with a minimum grade of C-.

Section Instructor Day/Time Location
D100 Ke Wang
Mo 4:30 PM – 6:20 PM
We 5:30 PM – 6:20 PM
AQ 3182, Burnaby
AQ 3181, Burnaby
D200 John Edgar
Mo, We, Fr 1:30 PM – 2:20 PM
SRYE 1002, Surrey
CMPT 371 - Data Communications and Networking (3)

Data communication fundamentals (data types, rates, and transmission media). Network architectures for local and wide areas. Communications protocols suitable for various architectures. ISO protocols and internetworking. Performance analysis under various loadings and channel error rates. Prerequisite: CMPT 225 and (MATH 151 or MATH 150), with a minimum grade of C-. MATH 154 or MATH 157 with a grade of at least B+ may be substituted for MATH 151 (MATH 150).

Section Instructor Day/Time Location
D100 Ouldooz Baghban Karimi
Mo 2:30 PM – 4:20 PM
We 2:30 PM – 3:20 PM
SWH 10081, Burnaby
SWH 10041, Burnaby
CMPT 431 - Distributed Systems (3)

An introduction to distributed systems: systems consisting of multiple physical components connected over a network. Architectures of such systems, ranging from client-server to peer-to-peer. Distributed systems are analyzed via case studies of real network file systems, replicated systems, sensor networks and peer-to-peer systems. Hands-on experience designing and implementing a complex distributed system. Prerequisite: CMPT 300, 371, both with a minimum grade of C-. Students with credit for CMPT 401 before September 2008 may not take this course for further credit.

Section Instructor Day/Time Location
D100 Keval Vora
Mo, We 3:30 PM – 4:50 PM
SWH 10041, Burnaby
CMPT 433 - Embedded Systems (3)

The basics of embedded system organization, hardware-software co-design, and programmable chip technologies are studied. Formal models and specification languages for capturing and analyzing the behavior of embedded systems. The design and use of tools for system partitioning and hardware/software co-design implementation, validation, and verification are also studied. Prerequisite: CMPT 295 and CMPT 300, with a minimum grade of C-.

CMPT 454 - Database Systems II (3)

An advanced course on database systems which covers crash recovery, concurrency control, transaction processing, distributed database systems as the core material and a set of selected topics based on the new developments and research interests, such as object-oriented data models and systems, extended relational systems, deductive database systems, and security and integrity. Prerequisite: CMPT 300 and 354, with a minimum grade of C-.

Section Instructor Day/Time Location
D100 Tianzheng Wang
Mo 10:30 AM – 12:20 PM
We 10:30 AM – 11:20 AM
AQ 3159, Burnaby
BLU 9660, Burnaby
CMPT 470 - Web-based Information Systems (3)

This course examines: two-tier/multi-tier client/server architectures; the architecture of a Web-based information system; web servers/browser; programming/scripting tools for clients and servers; database access; transport of programming objects; messaging systems; security; and applications (such as e-commerce and on-line learning). Prerequisite: (CMPT 275 or CMPT 276) and CMPT 354, with a minimum grade of C-.

CMPT 471 - Networking II (3)

This course covers the fundamentals of higher level network functionality such as remote procedure/object calls, name/address resolution, network file systems, network security and high speed connectivity/bridging/switching. Prerequisite: CMPT 300 and 371, with a minimum grade of C-.

Section Instructor Day/Time Location
D100 Khaled Diab
Mohamed Hefeeda
We 11:30 AM – 12:20 PM
Fr 10:30 AM – 12:20 PM
EDB 7618, Burnaby
SSCK 9500, Burnaby

Software Engineering Requirements

Students complete at least 12 upper division units including all of

CMPT 373 - Software Development Methods (3)

Survey of modern software development methodology. Several software development process models will be examined, as will the general principles behind such models. Provides experience with different programming paradigms and their advantages and disadvantages during software development. Prerequisite: CMPT 276 or 275, with a minimum grade of C-.

Section Instructor Day/Time Location
D100 William Sumner
Mo 2:30 PM – 3:20 PM
Th 2:30 PM – 4:20 PM
SRYE 3016, Surrey
SRYE 3016, Surrey
CMPT 473 - Software Testing, Reliability and Security (3)

Methods for software quality assurance focusing on reliability and security. Test coverage and test data adequacy including combinatorial testing. MC/DC testing, and mutation testing. Security engineering techniques for vulnerability discovery and mitigation including fuzz testing. Testing techniques will be applied to the assessment of external open source software. Prerequisite: (CMPT 275 or CMPT 276) with a minimum grade of C- and 15 upper division CMPT units.

Section Instructor Day/Time Location
E100 William Sumner
Mo 4:30 PM – 6:20 PM
Th 5:30 PM – 6:20 PM
SRYE 1002, Surrey
SRYE 1002, Surrey

and at least two of

CMPT 379 - Principles of Compiler Design (3)

This course covers the key components of a compiler for a high level programming language. Topics include lexical analysis, parsing, type checking, code generation and optimization. Students will work in teams to design and implement an actual compiler making use of tools such as lex and yacc. Prerequisite: (MACM 201 or CMPT 210), (CMPT 295 or ENSC 215) and CMPT 225, all with a minimum grade of C-.

Section Instructor Day/Time Location
D100 Thomas Shermer
We 11:30 AM – 12:20 PM
Fr 10:30 AM – 12:20 PM
SRYE 2016, Surrey
SRYE 2016, Surrey
CMPT 383 - Comparative Programming Languages (3)

Various concepts and principles underlying the design and use of modern programming languages are considered in the context of procedural, object-oriented, functional and logic programming languages. Topics include data and control structuring constructs, facilities for modularity and data abstraction, polymorphism, syntax, and formal semantics. Prerequisite: CMPT 225 and (MACM 101 or (ENSC 251 and ENSC 252)), all with a minimum grade of C-.

Section Instructor Day/Time Location
D100 Tu 8:30 AM – 10:20 AM
Fr 8:30 AM – 9:20 AM
BLU 9660, Burnaby
SWH 10041, Burnaby
CMPT 384 - Symbolic Computing (3)

This course considers modelling and programming techniques appropriate for symbolic data domains such as mathematical expressions, logical formulas, grammars and programming languages. Topics include recursive and functional programming style, grammar-based data abstraction, simplification and reduction transformations, conversions to canonical form, environment data structures and interpreters, metaprogramming, pattern matching and theorem proving. Prerequisite: CMPT 225 and (MACM 101 or (ENSC 251 and ENSC 252)), all with a minimum grade of C-.

CMPT 474 - Web Systems Architecture (3)

Web service based systems are fundamentally different from traditional software systems. The conceptual and methodological differences between a standard software development process and the development of a web service based information system. The technology involved during the construction of their own web service based application in an extensive project. Prerequisite: CMPT 371 with a minimum grade of C-.

CMPT 477 - Introduction to Formal Verification (3)

Introduces, at an accessible level, a formal framework for symbolic model checking, one of the most important verification methods. The techniques are illustrated with examples of verification of reactive systems and communication protocols. Students learn to work with a model checking tool. Prerequisite: CMPT 275 or 276, with a minimum grade of C-.

Section Instructor Day/Time Location
D100 Yuepeng Wang
Tu 8:30 AM – 10:20 AM
Fr 8:30 AM – 9:20 AM
SSCK 9500, Burnaby
BLU 9660, Burnaby

Capstone Project Requirement

Students complete EITHER

CMPT 494 - Software Systems Program Capstone Project I (3)

This course is the first in a series of two 3 unit courses for the Software Systems Capstone Project. Students will work in teams on a closely supervised software systems project. Projects can be research based or have a significant software application, potentially based on a real customer application specification, as their basis. Students will be required to write a full project report and present their project during the Capstone Project Day Presentations. Prerequisite: Students must have completed at least 15 units of upper division CMPT courses. Successful Capstone Project Proposal.

Section Instructor Day/Time Location
D100 TBD
D200 TBD
D300 TBD
and CMPT 495 - Software Systems Capstone Project II (3)

This course is the second in a series of two 3 unit courses for the Software Systems Capstone Project. Students will work in teams or a closely supervised software systems project. Projects can be research based or have a significant software application, potentially based on a real customer specification. Students will be required to write a final project report at the end of the term and do a project presentation during the Capstone Presentation Day. Prerequisite: CMPT 494 with a minimum grade of C-. CMPT 495 must be taken in the term immediately following the successful completion of CMPT 494 and must be for the same project and faculty supervisor.

Section Instructor Day/Time Location
D100 TBD
D200 TBD
D300 TBD

OR two of

CMPT 379 - Principles of Compiler Design (3)

This course covers the key components of a compiler for a high level programming language. Topics include lexical analysis, parsing, type checking, code generation and optimization. Students will work in teams to design and implement an actual compiler making use of tools such as lex and yacc. Prerequisite: (MACM 201 or CMPT 210), (CMPT 295 or ENSC 215) and CMPT 225, all with a minimum grade of C-.

Section Instructor Day/Time Location
D100 Thomas Shermer
We 11:30 AM – 12:20 PM
Fr 10:30 AM – 12:20 PM
SRYE 2016, Surrey
SRYE 2016, Surrey
CMPT 431 - Distributed Systems (3)

An introduction to distributed systems: systems consisting of multiple physical components connected over a network. Architectures of such systems, ranging from client-server to peer-to-peer. Distributed systems are analyzed via case studies of real network file systems, replicated systems, sensor networks and peer-to-peer systems. Hands-on experience designing and implementing a complex distributed system. Prerequisite: CMPT 300, 371, both with a minimum grade of C-. Students with credit for CMPT 401 before September 2008 may not take this course for further credit.

Section Instructor Day/Time Location
D100 Keval Vora
Mo, We 3:30 PM – 4:50 PM
SWH 10041, Burnaby
CMPT 433 - Embedded Systems (3)

The basics of embedded system organization, hardware-software co-design, and programmable chip technologies are studied. Formal models and specification languages for capturing and analyzing the behavior of embedded systems. The design and use of tools for system partitioning and hardware/software co-design implementation, validation, and verification are also studied. Prerequisite: CMPT 295 and CMPT 300, with a minimum grade of C-.

Depth Requirement

Students must complete six additional CMPT or MACM units at the 300 or 400 level. In order to meet their program requirements, students must have completed at least nine CMPT or MACM units at the 400 level. CMPT 415, 416 and 498 may only be included with permission of the School.

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
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.

 

Residency Requirements and Transfer Credit

  • At least half of the program's total units must be earned through Simon Fraser University study.
  • At least two thirds of the program's total upper division units must be earned through Simon Fraser University study.

Please see Faculty of Applied Sciences Residency Requirements for further information.

Elective Courses

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

Co-operative Education and Work Experience

All software systems students are strongly encouraged to explore the opportunities that Work Integrated Learning (WIL) can offer. Please contact a Software Systems co-op advisor during your first year of studies to ensure that you have all of the necessary courses and information to help plan for a successful co-op experience. For more information, visit http://www.sfu.ca/coop/programs/cmpt/home.html.