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To view the Summer 2019 Academic Calendar go to www.sfu.ca/students/calendar/2019/summer.html

School of Computing Science | Faculty of Applied Sciences Simon Fraser University Calendar | Fall 2019

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 calculated over the best three courses chosen as follows.

  • two computing courses chosen from: (CMPT 125, 129 or 135), CMPT 225, (CMPT 275 or 276), CMPT 295
  • one mathematics course chosen from: MACM 101, MACM 201

No course may be included in the average if it is a duplicate of any previous course completed at Simon Fraser University or elsewhere. All three courses must be completed prior to application.

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

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 - 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 ENSC 102, ENSC 105W, MSE 101W or SEE 101W may not take CMPT 105W for further credit. Writing.

Section Instructor Day/Time Location
D100 Steve Pearce
Mo, We, Fr 8:30 AM – 9:20 AM
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 Steve Whitmore
Mo 10:30 AM – 11:20 AM
We 10:30 AM – 11:20 AM
Fr 10:30 AM – 11:20 AM
SSCC 9002, Burnaby
AQ 3182, Burnaby
EDB 7618, 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. Corequisite: CMPT 106 or MSE 102. Students with credit for CMPT 105W, SEE 101W, ENSC 102 or ENSC 105W may not take MSE 101W for further credit. Writing.

Section Instructor Day/Time Location
D100 Maureen Hindy
Tu 2:30 PM – 4:20 PM
Th 2:30 PM – 3:20 PM
SUR 2980, Surrey
SUR 2980, Surrey
D101 Maureen Hindy
Th 3:30 PM – 4:20 PM
SUR 2980, Surrey
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 10:30 AM – 11:20 AM
Th 9:30 AM – 11:20 AM
SRYE 3016, Surrey
SRYE 3016, Surrey
D101 Vivian Neal
Mo 8:30 AM – 9:20 AM
SRYE 4016, Surrey
D102 Vivian Neal
We 8:30 AM – 9:20 AM
SRYE 4016, Surrey
D104 Vivian Neal
Th 3:30 PM – 4:20 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). 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 Bobby Chan
Mo, We, Fr 2:30 PM – 3:20 PM
SRYE 2016, Surrey
D101 Bobby Chan
Th 11:30 AM – 12:20 PM
SRYE 4024, Surrey
D102 Bobby Chan
Th 12:30 PM – 1:20 PM
SRYE 4024, Surrey
D103 Bobby Chan
Th 1:30 PM – 2:20 PM
SRYE 4024, Surrey
D104 Bobby Chan
Th 2:30 PM – 3:20 PM
SRYE 4024, Surrey
D200 Brian Fraser
Mo, We, Fr 2:30 PM – 3:20 PM
SRYE 1002, Surrey
D201 Brian Fraser
Tu 10:30 AM – 11:20 AM
SRYE 4013, Surrey
D202 Brian Fraser
Tu 11:30 AM – 12:20 PM
SRYE 4013, Surrey
D203 Brian Fraser
Tu 12:30 PM – 1:20 PM
SRYE 4013, Surrey
D204 Brian Fraser
Tu 1:30 PM – 2:20 PM
SRYE 4013, Surrey
D205 Brian Fraser
Th 3:30 PM – 4:20 PM
SRYE 4013, 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. 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: Data Structures and Programming. Students with credit for CMPT 212 cannot take this course for further credit.

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 and 127), CMPT 129 or CMPT 135)) or (ENSC 251 and ENSC 252). Quantitative.

Section Instructor Day/Time Location
D100 David Mitchell
Mo, Fr 10:30 AM – 11:20 AM
We 10:30 AM – 11:20 AM
AQ 3182, Burnaby
SSCB 9201, Burnaby
D101 David Mitchell
Fr 11:30 AM – 12:20 PM
ASB 9838, Burnaby
D102 David Mitchell
Fr 11:30 AM – 12:20 PM
ASB 9838, Burnaby
D103 David Mitchell
Fr 12:30 PM – 1:20 PM
ASB 9838, Burnaby
D104 David Mitchell
Fr 12:30 PM – 1:20 PM
ASB 9838, Burnaby
D105 David Mitchell
Fr 1:30 PM – 2:20 PM
ASB 9838, Burnaby
D106 David Mitchell
Fr 1:30 PM – 2:20 PM
ASB 9838, Burnaby
D107 David Mitchell
Fr 2:30 PM – 3:20 PM
ASB 9838, Burnaby
D108 David Mitchell
Fr 2:30 PM – 3:20 PM
ASB 9838, Burnaby
E100 Anne Lavergne
We 5:30 PM – 8:20 PM
HCC 1900, Vancouver
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). 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
E100 Bobby Chan
Th 5:30 PM – 8:20 PM
SSCC 9000, Burnaby
E200 Bobby Chan
Mo 5:30 PM – 8:20 PM
AQ 3153, Burnaby
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 and CMPT 127) or CMPT 135)) or (MATH 151 and CMPT 102 for students in an Applied Physics program). Students with credits for CMPT 150 or 250 may not take this course for further credit.

Section Instructor Day/Time Location
D100 Brad Bart
Mo, We, Fr 1:30 PM – 2:20 PM
SSCB 9201, Burnaby
D101 Brad Bart
Tu 9:30 AM – 10:20 AM
ASB 9838, Burnaby
D102 Brad Bart
Tu 9:30 AM – 10:20 AM
ASB 9838, Burnaby
D103 Brad Bart
Tu 10:30 AM – 11:20 AM
ASB 9838, Burnaby
D104 Brad Bart
Tu 10:30 AM – 11:20 AM
ASB 9838, Burnaby
D105 Brad Bart
Tu 11:30 AM – 12:20 PM
ASB 9838, Burnaby
D106 Brad Bart
Tu 11:30 AM – 12:20 PM
ASB 9838, Burnaby
D107 Brad Bart
Tu 12:30 PM – 1:20 PM
ASB 9838, Burnaby
D108 Brad Bart
Tu 12:30 PM – 1:20 PM
ASB 9838, Burnaby
D200 Brad Bart
Mo, We, Fr 3:30 PM – 4:20 PM
SSCB 9200, Burnaby
D201 Brad Bart
We 10:30 AM – 11:20 AM
ASB 9838, Burnaby
D202 Brad Bart
We 10:30 AM – 11:20 AM
ASB 9838, Burnaby
D203 Brad Bart
We 11:30 AM – 12:20 PM
ASB 9838, Burnaby
D204 Brad Bart
We 11:30 AM – 12:20 PM
ASB 9838, Burnaby
D205 Brad Bart
We 12:30 PM – 1:20 PM
ASB 9838, Burnaby
D206 Brad Bart
We 12:30 PM – 1:20 PM
ASB 9838, Burnaby
D207 Brad Bart
We 1:30 PM – 2:20 PM
ASB 9838, Burnaby
D208 Brad Bart
We 1:30 PM – 2:20 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 Binay Bhattacharya
Mo, We, Fr 12:30 PM – 1:20 PM
AQ 3181, Burnaby
D101 Binay Bhattacharya
We 1:30 PM – 2:20 PM
AQ 2122, Burnaby
D102 Binay Bhattacharya
We 2:30 PM – 3:20 PM
BLU 10901, Burnaby
D103 Binay Bhattacharya
We 3:30 PM – 4:20 PM
AQ 5025, Burnaby
D104 Binay Bhattacharya
We 4:30 PM – 5:20 PM
WMC 3250, Burnaby
D105 Binay Bhattacharya
Th 9:30 AM – 10:20 AM
AQ 5004, Burnaby
D106 Binay Bhattacharya
Th 10:30 AM – 11:20 AM
AQ 5035, Burnaby
D107 Binay Bhattacharya
Th 11:30 AM – 12:20 PM
AQ 5047, Burnaby
D108 Binay Bhattacharya
Th 12:30 PM – 1:20 PM
AQ 2122, Burnaby
D200 Karol Swietlicki
Mo, We, Fr 10:30 AM – 11:20 AM
WMC 3520, Burnaby
D201 Karol Swietlicki
Mo 11:30 AM – 12:20 PM
WMC 3517, Burnaby
D202 Karol Swietlicki
Mo 12:30 PM – 1:20 PM
WMC 3515, Burnaby
D203 Karol Swietlicki
Mo 1:30 PM – 2:20 PM
WMC 3511, Burnaby
D204 Karol Swietlicki
Mo 1:30 PM – 2:20 PM
WMC 3531, Burnaby
D205 Karol Swietlicki
Mo 2:30 PM – 3:20 PM
WMC 2531, Burnaby
D206 Karol Swietlicki
Mo 2:30 PM – 3:20 PM
WMC 2523, Burnaby
D207 Karol Swietlicki
Mo 3:30 PM – 4:20 PM
AQ 5037, Burnaby
D208 Karol Swietlicki
Mo 3:30 PM – 4:20 PM
AQ 5030, Burnaby
D300 Toby Donaldson
Mo, We, Fr 12:30 PM – 1:20 PM
SUR 5280, Surrey
D301 Toby Donaldson
We 1:30 PM – 2:20 PM
SUR 3120, Surrey
D302 Toby Donaldson
We 2:30 PM – 3:20 PM
SUR 3120, Surrey
D303 Toby Donaldson
We 3:30 PM – 4:20 PM
SUR 3120, Surrey
D304 Toby Donaldson
We 4:30 PM – 5:20 PM
SUR 3120, Surrey
MACM 201 - Discrete Mathematics II (3)

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

Section Instructor Day/Time Location
D200 Matthew DeVos
Mo, We, Fr 12:30 PM – 1:20 PM
SSCC 9001, Burnaby
OP01
TBD
OP02
TBD
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
Tu 11:30 AM – 1:20 PM
Th 11:30 AM – 12:20 PM
SUR 3170, Surrey
SUR 3170, Surrey
LAB1 Mohammad Narimani
Tu 4:30 PM – 7:20 PM
SUR 4270, Surrey
LAB2 Mohammad Narimani
Tu 4:30 PM – 7:20 PM
SUR 4290, Surrey
OPL1 Mohammad Narimani
TBD
OPL2 Mohammad Narimani
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 9200, Burnaby
D101
Tu 8:30 AM – 9:20 AM
WMC 2220, Burnaby
D102
Tu 9:30 AM – 10:20 AM
WMC 2220, Burnaby
D103
Tu 10:30 AM – 11:20 AM
WMC 2220, Burnaby
D104
We 2:30 PM – 3:30 PM
WMC 2810, Burnaby
D105
We 3:30 PM – 4:20 PM
WMC 2810, Burnaby
D200 Veselin Jungic
Mo, We, Fr 8:30 AM – 9:20 AM
RCB IMAGTH, Burnaby
D201
Tu 8:30 AM – 9:20 AM
WMC 3535, Burnaby
D202
Tu 1:30 PM – 2:20 PM
SWH 10061, Burnaby
D203
Tu 2:30 PM – 3:20 PM
SWH 10061, Burnaby
D204
Fr 2:30 PM – 3:20 PM
WMC 2810, Burnaby
D205
Fr 3:30 PM – 4:20 PM
WMC 2810, Burnaby
D300 Natalia Kouzniak
Mo, We, Fr 9:30 AM – 10:20 AM
SRYE 1002, Surrey
D301
We 1:30 PM – 2:20 PM
SUR 3240, Surrey
D302
We 4:30 PM – 5:20 PM
SUR 3250, Surrey
D303
Th 1:30 PM – 2:20 PM
SUR 3250, 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 9200, Burnaby
D200 Veselin Jungic
Mo, We, Fr 8:30 AM – 9:20 AM
RCB IMAGTH, Burnaby
D300 Natalia Kouzniak
Mo, We, Fr 9:30 AM – 10:20 AM
SRYE 1002, Surrey
OP01
TBD
MATH 154 - Calculus I for the Biological Sciences (3) *

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: 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 Petr Lisonek
Mo, We, Fr 8:30 AM – 9:20 AM
SSCC 9001, Burnaby
D200 Alamgir Hossain
Mo, We, Fr 9:30 AM – 10:20 AM
SUR 2600, 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 Stephen Choi
Mo, We, Fr 11:30 AM – 12:20 PM
SSCC 9001, Burnaby
D200 Arezou Valadkhani
Mo, We, Fr 12:30 PM – 1:20 PM
SRYE 1002, 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; 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 9201, Burnaby
OP01
TBD
MATH 155 - Calculus II for the Biological Sciences (3) *

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; 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. 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; or MATH 154 or 157, both with a grade of at least B. Students with credit for MATH 240 make not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Luis Goddyn
Mo, We, Fr 11:30 AM – 12:20 PM
RCB IMAGTH, Burnaby
D200 Justin Chan
Mo, We, Fr 3:30 PM – 4:20 PM
SUR 3170, Surrey
OP01
TBD
OP02
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; 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 Razvan Fetecau
Mo 11:30 AM – 12:20 PM
We 11:30 AM – 12:20 PM
Fr 11:30 AM – 12:20 PM
AQ 3005, Burnaby
AQ 3153, Burnaby
AQ 3159, Burnaby
OP01
TBD

and one of

STAT 205 - Introduction to Statistics (3)

The collection, description, analysis and summary of data, including the concepts of frequency distribution, parameter estimation and hypothesis testing. Intended to be particularly accessible to students who are not specializing in Statistics. Prerequisite: Recommended: 30 units. Students cannot obtain credit for STAT 205 if they already have credit for - or are taking concurrently - STAT 101, 201, 203, 285, or any upper division STAT course. Quantitative.

Section Instructor Day/Time Location
D100 Jorge Rodriguez
Mo, We, Fr 9:30 AM – 10:20 AM
AQ 5030, Burnaby
OP01
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. 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
C100 Distance Education
D100 Scott Pai
Mo, We 9:30 AM – 10:20 AM
Fr 9:30 AM – 10:20 AM
SWH 10081, Burnaby
WMC 3520, Burnaby
OP01
TBD
BUS 232 - Data and Decisions I (4)

An introduction to business statistics with a heavy emphasis on applications and the use of EXCEL. Students will be required to use statistical applications to solve business problems. Prerequisite: MATH 150, MATH 151, MATH 154, or MATH 157; 15 units. MATH 150, MATH 151, MATH 154, or MATH 157 may be taken concurrently with BUS 232. Students with credit for BUEC 232 may not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Amir Azaron
Tu 2:30 PM – 4:20 PM
Th 2:30 PM – 4:20 PM
SSCB 9201, Burnaby
AQ 3182, Burnaby
D200 George Zhang
Tu, Th 8:30 AM – 10:20 AM
SUR 3310, Surrey
E100 Amir Azaron
Mo, We 4:30 PM – 6:20 PM
SSCC 9001, Burnaby
OP01
Mo 5:30 PM – 7:20 PM
WMC 2301, Burnaby
OP02
Tu 4:30 PM – 6:20 PM
WMC 2301, Burnaby
OP03
We 2:30 PM – 6:20 PM
WMC 2301, Burnaby
OP04
Th 5:30 PM – 7:20 PM
WMC 2305, Burnaby
OP05
Tu 10:30 AM – 12:20 PM
SUR 3300, Surrey
OP06
Th 10:30 AM – 12:20 PM
SUR 3300, Surrey
OP07
Mo 7:30 PM – 10:20 PM
WMC 2301, Burnaby
OP09
We 6:30 PM – 9:20 PM
WMC 2301, Burnaby
OP10
Th 4:30 PM – 6:20 PM
WMC 2301, 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)

Analysis and design of data structures for lists, sets, trees, dictionaries, and priority queues. A selection of topics chosen from sorting, memory management, graphs and graph algorithms. Prerequisite: CMPT 225, MACM 201, MATH 151 (or MATH 150), and MATH 232 or 240.

Section Instructor Day/Time Location
D100 Binay Bhattacharya
Mo 9:30 AM – 10:20 AM
We, Fr 9:30 AM – 10:20 AM
SSCC 9000, Burnaby
WMC 3260, Burnaby
D200 Joseph Peters
Mo, We, Fr 12:30 PM – 1:20 PM
AQ 3003, Burnaby
CMPT 376W - Technical Writing and Group Dynamics (3)

Covers professional writing in computing science, including format conventions and technical reports. Examines group dynamics, including team leadership, dispute resolution and collaborative writing. Also covers research methods. Prerequisite: CMPT 275 or CMPT 276. Students with credit for CMPT 376 may not take this course for further credit. Writing.

Section Instructor Day/Time Location
D100 Milan Tofiloski
Mo, We, Fr 3:30 PM – 4:20 PM
AQ 3005, Burnaby

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 (MACM 101 or (ENSC 251 and ENSC 252)).

Section Instructor Day/Time Location
D100 Ryan Shea
Mo, We, Fr 10:30 AM – 11:20 AM
AQ 3181, Burnaby

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)).

Section Instructor Day/Time Location
D100 Martin Ester
Tu 10:30 AM – 11:20 AM
Th 9:30 AM – 11:20 AM
AQ 3005, Burnaby
AQ 3005, Burnaby
E100 Evgenia Ternovska
Th 5:30 PM – 8:20 PM
HCC 1700, Vancouver
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, (CMPT 150, ENSC 150 or CMPT 295) and MATH 151 (MATH 150). MATH 154 or 157 with a grade of at least B+ may be substituted for MATH 151 (MATH 150).

Section Instructor Day/Time Location
D100 Joseph Peters
Mo, We, Fr 3:30 PM – 4:20 PM
SSCK 9500, Burnaby
D200 Ouldooz Baghban Karimi
Tu 10:30 AM – 11:20 AM
Th 9:30 AM – 11:20 AM
SRYE 1002, Surrey
SRYE 1002, 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. 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
Tu 10:30 AM – 11:20 AM
Th 9:30 AM – 11:20 AM
AQ 3154, Burnaby
AQ 3149, 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 250 or CMPT 295) and CMPT 300.

Section Instructor Day/Time Location
D100 Brian Fraser
Mo, We, Fr 11:30 AM – 12:20 PM
SRYE 3016, Surrey
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.

Section Instructor Day/Time Location
D100 Tianzheng Wang
Tu 11:30 AM – 1:20 PM
Th 11:30 AM – 12:20 PM
BLU 9660, Burnaby
WMC 3260, 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.

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.

Section Instructor Day/Time Location
D100 Ouldooz Baghban Karimi
Tu 2:30 PM – 4:20 PM
Th 2:30 PM – 3:20 PM
SRYE 3016, Surrey
SRYE 3016, Surrey

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.

Section Instructor Day/Time Location
D100 Brian Fraser
Mo, We, Fr 9:30 AM – 10:20 AM
SRYE 4016, Surrey
D101 Brian Fraser
Mo 10:30 AM – 11:20 AM
SRYE 4013, Surrey
D102 Brian Fraser
Mo 11:30 AM – 12:20 PM
SRYE 4013, Surrey
D103 Brian Fraser
Mo 12:30 PM – 1:20 PM
SRYE 4013, 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) and 15 upper division CMPT units.

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, (CMPT 150, CMPT 295 or ENSC 215) and CMPT 225.

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)).

Section Instructor Day/Time Location
D100 Toby Donaldson
Mo, We, Fr 2:30 PM – 3:20 PM
SRYE 3016, Surrey
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)).

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.

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.

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.