Please note:

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

Information Systems in Business Administration and Computing Science Joint Major

Bachelor of Business Administration or Bachelor of Science

This program is offered co-operatively by the Beedie School of Business 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.

Students may opt for a bachelor of science from the Faculty of Applied Sciences, or a bachelor of business administration from the Beedie School of Business. Faculty requirements will be governed by the faculty from which the student chooses to complete a degree.

Admission Requirements

ADMISSION REQUIREMENTS - BEEDIE SCHOOL OF BUSINESS

Internal Transfer (Category 3 or 4) applicants should apply to Beedie by submitting a supplemental application form after completing 30 units (including lower division requirements, except BUS 217W and BUS 254), meeting a minimum 2.30 overall SFU Business course grade point average, and must either already be accepted to the Computing Science portion of the Joint Major or be eligible for admission that term. The supplemental application can be found on Beedie's website. Students not accepted upon initial application may reapply. Unsuccessful applicants may appeal through the faculty admissions appeals committee.

Application Deadlines

Visit http://beedie.sfu.ca/bba/apply for application deadlines.

Grade Requirements

In addition to normal university grade point average requirements, the Beedie School of Business requires a minimum 2.30 overall SFU Business course grade point average for entry into all 300 and 400 division business administration courses.

A minimum 2.30 overall SFU Business course grade point average is required for graduation from a Business major, joint major, or double degree program.

For a course to be accepted as fulfilling a prerequisite, or for a lower division requirement, or for a core course to be accepted in a student’s program in business administration, a student must have obtained a minimum grade of C- (C minus).

Course Limit

Students with fewer than 60 units may enrol in a maximum of 16 units per term. Those with 60 or more may enrol in a maximum of 18 units.

Letters of Permission

The Beedie School of Business does not normally approve letters of permission for students already enrolled at Simon Fraser University.

Program Requirements

Lower Division Requirements

Students complete one of

BUEC 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 BUEC 232. Quantitative.

Section Instructor Day/Time Location
D100 Andrew Flostrand
Tu, Th 2:30 PM – 4:20 PM
SSCB 9201, Burnaby
E100 Andrew Flostrand
Tu, Th 5:30 PM – 7:20 PM
SSCB 9201, Burnaby
OP01
Tu 4:30 PM – 7:20 PM
WMC 2301, Burnaby
OP02
We 12:30 PM – 2:20 PM
WMC 2301, Burnaby
OP03
Th 5:30 PM – 8:20 PM
WMC 2301, Burnaby
OP04
Th 7:30 PM – 10:20 PM
WMC 2301, Burnaby
OP05
Tu 8:30 PM – 10:20 PM
WMC 2305, Burnaby
OP06
We 7:30 PM – 10:20 PM
WMC 2301, Burnaby
OP07
Mo 9:30 AM – 12:20 PM
WMC 2301, Burnaby
OP08
We 3:30 PM – 6:20 PM
WMC 2301, 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. 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 Tim Swartz
We 11:30 AM – 12:20 PM
Fr 10:30 AM – 12:20 PM
AQ 3182, Burnaby
AQ 3182, Burnaby
OP01
TBD

and either all of

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

An elementary introduction to computing science and computer programming, suitable for students with little or no programming background. Students will learn fundamental concepts and terminology of computing science, acquire elementary skills for programming in a high-level language and be exposed to diverse fields within, and applications of computing science. Topics will include: pseudocode, data types and control structures, fundamental algorithms, computability and complexity, computer architecture, and history of computing science. Treatment is informal and programming is presented as a problem-solving tool. Prerequisite: BC Math 12 or equivalent is recommended. Students with credit for CMPT 102, 128, 130 or 166 may not take this course for further credit. Students who have taken CMPT 125, 129, 130 or 135 first may not then take this course for further credit. Quantitative/Breadth-Science.

Section Instructor Day/Time Location
D100 Anne Lavergne
Mo, We, Fr 9:30 AM – 10:20 AM
AQ 3181, Burnaby
D101 Anne Lavergne
We 10:30 AM – 11:20 AM
ASB 9838, Burnaby
D102 Anne Lavergne
We 10:30 AM – 11:20 AM
ASB 9838, Burnaby
D103 Anne Lavergne
We 11:30 AM – 12:20 PM
ASB 9838, Burnaby
D104 Anne Lavergne
We 11:30 AM – 12:20 PM
ASB 9838, Burnaby
D105 Anne Lavergne
We 12:30 PM – 1:20 PM
ASB 9838, Burnaby
D106 Anne Lavergne
We 12:30 PM – 1:20 PM
ASB 9838, Burnaby
D107 Anne Lavergne
We 1:30 PM – 2:20 PM
ASB 9838, Burnaby
D108 Anne Lavergne
We 1:30 PM – 2:20 PM
ASB 9838, Burnaby
CMPT 125 - Introduction to Computing Science and Programming II (3) *

A rigorous introduction to computing science and computer programming, suitable for students who already have some background in computing science and programming. Intended for students who will major in computing science or a related program. Topics include: fundamental algorithms; elements of empirical and theoretical algorithmics; abstract data types and elementary data structures; basic object-oriented programming and software design; computation and computability; specification and program correctness; and history of computing science. Prerequisite: CMPT 120. Corequisite: CMPT 127. Students with credit for CMPT 126, 129, 135 or CMPT 200 or higher may not take for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Bobby Chan
Mo, We, Fr 9:30 AM – 10:20 AM
AQ 3182, Burnaby
CMPT 127 - Computing Laboratory (3) *

Builds on CMPT 120 to give a hands-on introduction to programming in C and C++, the basics of program design, essential algorithms and data structures. Guided labs teach the standard tools and students exploit these ideas to create software that works. To be taken in parallel with CMPT 125. Prerequisite: CMPT 120 or CMPT 128 or CMPT 130. Corequisite: CMPT 125.

Section Instructor Day/Time Location
D100 Anne Lavergne
Tu 8:30 AM – 11:20 AM
ASB 9838, Burnaby
D200 Anne Lavergne
Tu 11:30 AM – 2:20 PM
ASB 9838, Burnaby
D300 Anne Lavergne
Tu 2:30 PM – 5:20 PM
ASB 9838, Burnaby

or both of

CMPT 130 - Introduction to Computer Programming I (3) *

An introduction to computing science and computer programming, using a systems oriented language, such as C or C++. This course introduces basic computing science concepts. Topics will include: elementary data types, control structures, functions, arrays and strings, fundamental algorithms, computer organization and memory management. Prerequisite: BC Math 12 (or equivalent, or any of MATH 100, 150, 151, 154, or 157). Students with credit for CMPT 102, 120, 128 or 166 may not take this course for further credit. Students who have taken CMPT 125, 129 or 135 first may not then take this course for further credit. Quantitative/Breadth-Science.

CMPT 135 - Introduction to Computer Programming II (3) *

A second course in systems-oriented programming and computing science that builds upon the foundation set in CMPT 130 using a systems-oriented language such as C or C++. Topics: a review of the basic elements of programming; introduction to object-oriented programming (OOP); techniques for designing and testing programs; use and implementation of elementary data structures and algorithms; introduction to embedded systems programming. Prerequisite: CMPT 130. Students with credit for CMPT 125, 126, or 129 may not take this course for further credit. Quantitative.

and all of

BUS 217W - Critical Thinking in Business (3)

Examine and review today's global economy through critical analysis of differing perspectives. Develop and improve critical thinking and communication skills appropriate to the business environment. Prerequisite: BUS 201 and 15 units; OR 45 units and corequisite: BUS 202; OR Business Administration joint major, joint honours, or double degree students with 45 units; OR Data Science majors with 15 units. Writing.

Section Instructor Day/Time Location
D100 Leanne Smith-Barlow
We 2:30 PM – 5:20 PM
Sa 11:00 AM – 2:00 PM
WMC 2503, Burnaby
WMC 3260, Burnaby
D200 Zahra Ladha
Mo 9:30 AM – 12:20 PM
SUR 5100, Surrey
D300 Zahra Ladha
Mo 2:30 PM – 5:20 PM
WMC 2200, Burnaby
D400 Leanne Smith-Barlow
We 9:30 AM – 12:20 PM
Sa 11:00 AM – 2:00 PM
SWH 10061, Burnaby
WMC 3260, Burnaby
E100 Colleen Stevenson
Tu 5:30 PM – 8:20 PM
SWH 10061, Burnaby
E200 Marco Galvani
We 5:30 PM – 8:20 PM
WMC 2210, Burnaby
BUS 251 - Financial Accounting I (3)

An introduction to financial accounting, including accounting terminology, understanding financial statements, analysis of a business entity using financial statements. Includes also time value of money and a critical review of the conventional accounting system. Prerequisite: 12 units. Quantitative.

Section Instructor Day/Time Location
D100 Anne Macdonald
Th 10:30 AM – 12:20 PM
AQ 3182, Burnaby
D101
Th 12:30 PM – 1:20 PM
RCB 7102, Burnaby
D102
Th 12:30 PM – 1:20 PM
RCB 7101, Burnaby
D103
Th 12:30 PM – 1:20 PM
WMC 2202, Burnaby
D104
Th 1:30 PM – 2:20 PM
RCB 7102, Burnaby
D105
Th 1:30 PM – 2:20 PM
RCB 7101, Burnaby
D106
Th 1:30 PM – 2:20 PM
WMC 2202, Burnaby
D107
Th 2:30 PM – 3:20 PM
RCB 7101, Burnaby
D108
Th 2:30 PM – 3:20 PM
WMC 2202, Burnaby
D200 Anne Macdonald
Fr 10:30 AM – 12:20 PM
SUR 5140, Surrey
D201
Fr 12:30 PM – 1:20 PM
SUR 5060, Surrey
D202
Fr 12:30 PM – 1:20 PM
SUR 3120, Surrey
D203
Fr 1:30 PM – 2:20 PM
SUR 5060, Surrey
D204
Fr 1:30 PM – 2:20 PM
SUR 3120, Surrey
BUS 254 - Managerial Accounting I (3)

Theory and methods of cost compilation for managerial planning, control and decision making; the use of budgets and analysis in planning and controlling operations, establishing supervisory and departmental responsibility, and various techniques of measuring results. Prerequisite: BUS 251; 15 units. Students with credit for BUS 324, BUS 328, or COMM 324 may not take BUS 254 for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Hwee Cheng Tan
Th 12:30 PM – 2:20 PM
AQ 3181, Burnaby
D101
Th 10:30 AM – 11:20 AM
RCB 5125, Burnaby
D102
Th 10:30 AM – 11:20 AM
RCB 7102, Burnaby
D103
Th 10:30 AM – 11:20 AM
RCB 7101, Burnaby
D104
Th 11:30 AM – 12:20 PM
RCB 5125, Burnaby
D105
Th 11:30 AM – 12:20 PM
RCB 7102, Burnaby
D106
Th 11:30 AM – 12:20 PM
RCB 7101, Burnaby
D107
Th 10:30 AM – 11:20 AM
AQ 5004, Burnaby
E100 Hwee Cheng Tan
Th 4:30 PM – 6:20 PM
AQ 3153, Burnaby
E101
Th 6:30 PM – 7:20 PM
AQ 5004, Burnaby
E102
Th 6:30 PM – 7:20 PM
AQ 5009, Burnaby
E103
Th 7:30 PM – 8:20 PM
AQ 5004, Burnaby
E104
Th 7:30 PM – 8:20 PM
AQ 5009, Burnaby
BUS 272 - Behavior in Organizations (3)

Theories, concepts and issues in the field of organizational behavior with an emphasis on individual and team processes. Core topics include employee motivation and performance, stress management, communication, work perceptions and attitudes, decision-making, team dynamics, employee involvement and conflict management. Prerequisite: 12 units.

Section Instructor Day/Time Location
D100 Michael Huenefeld
Tu 12:30 PM – 2:20 PM
SSCB 9200, Burnaby
D101
Tu 2:30 PM – 3:20 PM
RCB 5125, Burnaby
D102
Tu 2:30 PM – 3:20 PM
RCB 5120, Burnaby
D103
Tu 2:30 PM – 3:20 PM
AQ 5009, Burnaby
D104
Tu 3:30 PM – 4:20 PM
RCB 5125, Burnaby
D105
Tu 3:30 PM – 4:20 PM
RCB 5120, Burnaby
D106
Tu 3:30 PM – 4:20 PM
AQ 5009, Burnaby
D107
Tu 4:30 PM – 5:20 PM
RCB 5120, Burnaby
D108
Tu 4:30 PM – 5:20 PM
AQ 5009, Burnaby
E100 Sam Thiara
We 4:30 PM – 6:20 PM
EDB 7618, Burnaby
E101
We 7:30 PM – 8:20 PM
RCB 7102, Burnaby
E102
We 7:30 PM – 8:20 PM
RCB 7101, Burnaby
E103
We 7:30 PM – 8:20 PM
WMC 3513, Burnaby
E104
We 8:30 PM – 9:20 PM
RCB 7102, Burnaby
E105
We 8:30 PM – 9:20 PM
RCB 7101, Burnaby
E106
We 8:30 PM – 9:20 PM
WMC 3513, Burnaby
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 Thomas Shermer
Mo, We, Fr 2:30 PM – 3:20 PM
AQ 3181, Burnaby
D101 Thomas Shermer
Th 10:30 AM – 11:20 AM
ASB 9838, Burnaby
D102 Thomas Shermer
Th 11:30 AM – 12:20 PM
ASB 9838, Burnaby
D103 Thomas Shermer
Th 12:30 PM – 1:20 PM
ASB 9838, Burnaby
D104 Thomas Shermer
Th 1:30 PM – 2:20 PM
ASB 9838, Burnaby
D105 Thomas Shermer
Fr 9:30 AM – 10:20 AM
ASB 9838, Burnaby
D106 Thomas Shermer
Fr 10:30 AM – 11:20 AM
ASB 9838, Burnaby
D107 Thomas Shermer
Fr 11:30 AM – 12:20 PM
ASB 9838, Burnaby
D108 Thomas Shermer
Fr 12:30 PM – 1:20 PM
ASB 9838, Burnaby
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
D100 Steve Pearce
Tu 11:30 AM – 1:20 PM
Th 11:30 AM – 12:20 PM
AQ 3005, Burnaby
SSCK 9500, Burnaby
E100 Bobby Chan
Tu 5:30 PM – 8:20 PM
AQ 3154, 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.

ECON 103 - Principles of Microeconomics (4)

The principal elements of theory concerning utility and value, price and costs, factor analysis, productivity, labor organization, competition and monopoly, and the theory of the firm. Students with credit for ECON 200 cannot take ECON 103 for further credit. Quantitative/Breadth-Soc.

Section Instructor Day/Time Location
D100 Kristin Dust
We 9:30 AM – 10:20 AM
Fr 8:30 AM – 10:20 AM
SSCB 9201, Burnaby
WMC 3520, Burnaby
D101
We 10:30 AM – 11:20 AM
SWH 10075, Burnaby
D102
We 11:30 AM – 12:20 PM
RCB 7105, Burnaby
D103
We 12:30 PM – 1:20 PM
RCB 6136, Burnaby
D104
We 1:30 PM – 2:20 PM
RCB 5100, Burnaby
D105
We 2:30 PM – 3:20 PM
RCB 7105, Burnaby
D106
We 3:30 PM – 4:20 PM
RCB 7105, Burnaby
D107
We 4:30 PM – 5:20 PM
RCB 7105, Burnaby
D108
Th 8:30 AM – 9:20 AM
WMC 3251, Burnaby
D109
Th 9:30 AM – 10:20 AM
WMC 2268, Burnaby
D110
Th 11:30 AM – 12:20 PM
WMC 3517, Burnaby
D111
Th 12:30 PM – 1:20 PM
WMC 3251, Burnaby
D112
Th 1:30 PM – 2:20 PM
WMC 2260, Burnaby
D900 Seong Choi
Tu, Th 12:30 PM – 2:20 PM
SUR 2600, Surrey
ECON 105 - Principles of Macroeconomics (4)

The principal elements of theory concerning money and income, distribution, social accounts, public finance, international trade, comparative systems, and development and growth. Students with credit for ECON 205 cannot take ECON 105 for further credit. Quantitative/Breadth-Soc.

Section Instructor Day/Time Location
D100 Junjie Liu
Tu 8:30 AM – 10:20 AM
Th 8:30 AM – 9:20 AM
AQ 3182, Burnaby
AQ 3182, Burnaby
D101
Tu 12:30 PM – 1:20 PM
BLU 10655, Burnaby
D102
Tu 3:30 PM – 4:20 PM
AQ 5017, Burnaby
D103
Tu 4:30 PM – 5:20 PM
AQ 5017, Burnaby
D104
We 8:30 AM – 9:20 AM
BLU 10901, Burnaby
D105
We 9:30 AM – 10:20 AM
BLU 11911, Burnaby
D106
We 10:30 AM – 11:20 AM
BLU 9655, Burnaby
D107
We 11:30 AM – 12:20 PM
BLU 9655, Burnaby
D108
We 12:30 PM – 1:20 PM
BLU 9655, Burnaby
D109
We 1:30 PM – 2:20 PM
BLU 9655, Burnaby
D110
We 2:30 PM – 3:20 PM
BLU 9655, Burnaby
D111
We 3:30 PM – 4:20 PM
BLU 9655, Burnaby
D112
We 4:30 PM – 5:20 PM
RCB 7102, Burnaby
D900 Seong Choi
Tu, Th 2:30 PM – 4:20 PM
SUR 2600, Surrey
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.

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.

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
C100 Distance Education
D100 Randall Pyke
Mo 1:30 PM – 2:20 PM
Tu, We, Fr 1:30 PM – 2:20 PM
EDB 7618, Burnaby
AQ 3005, Burnaby
OP01
TBD
MATH 151 - Calculus I (3)

Designed for students specializing in mathematics, physics, chemistry, computing science and engineering. Logarithmic and exponential functions, trigonometric functions, inverse functions. Limits, continuity, and derivatives. Techniques of differentiation, including logarithmic and implicit differentiation. The Mean Value Theorem. Applications of differentiation including extrema, curve sketching, Newton's method. Introduction to modeling with differential equations. Polar coordinates, parametric curves. Prerequisite: Pre-Calculus 12 (or equivalent) with a grade of at least A, or MATH 100 with a grade of at least B, or achieving a satisfactory grade on the 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.

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 Randall Pyke
Mo, We, Fr 11:30 AM – 12:20 PM
RCB IMAGTH, Burnaby
OP01
TBD

and one of

MATH 152 - Calculus II (3)

Riemann sum, Fundamental Theorem of Calculus, definite, indefinite and improper integrals, approximate integration, integration techniques, applications of integration. First-order separable differential equations and growth models. Sequences and series, series tests, power series, convergence and applications of power series. Prerequisite: MATH 150 or 151; 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 Vijay Singh
Mo, We, Fr 8:30 AM – 9:20 AM
SSCB 9200, Burnaby
OP01
TBD
MATH 158 - Calculus II for the Social Sciences (3)

Designed for students specializing in business or the social sciences. Topics include: theory of integration, integration techniques, applications of integration; functions of several variables with emphasis on double and triple integrals and their applications; introduction to differential equations with emphasis on some special first-order equations and their applications; sequences and series. Prerequisite: MATH 150 or 151 or 154 or 157. 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 Randall Pyke
Mo, We, Fr 2:30 PM – 3:20 PM
SUR 2600, Surrey
OP01
TBD
MATH 240 - Algebra I: Linear Algebra (3)

Linear equations, matrices, determinants. Real and abstract vector spaces, subspaces and linear transformations; basis and change of basis. Complex numbers. Eigenvalues and eigenvectors; diagonalization. Inner products and orthogonality; least squares problems. Applications. Subject is presented with an abstract emphasis and includes proofs of the basic theorems. Prerequisite: MATH 150 or 151; or MACM 101; 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 Ralf Wittenberg
Mo, Fr 11:30 AM – 12:20 PM
We 11:30 AM – 12:20 PM
SWH 10041, Burnaby
WMC 3260, Burnaby
OPO1
TBD

and one of**

ENGL 111W - Literary Classics in English (3)

Examines literary “classics”, variously defined, apprehending them both on their own terms and within larger critical conversations. May incorporate the comparative study of work in related artistic fields and engage relevant media trends. Includes attention to writing skills. Students with credit for ENGL 101W may not take this course for further credit. Writing/Breadth-Humanities.

Section Instructor Day/Time Location
D100 Antone Lanatà Minard
Mo, We 12:30 PM – 1:20 PM
BLU 9660, Burnaby
D101
Mo 1:30 PM – 2:20 PM
AQ 5015, Burnaby
D102
Mo 1:30 PM – 2:20 PM
RCB 5120, Burnaby
D103
Mo 2:30 PM – 3:20 PM
AQ 5029, Burnaby
D104
Mo 2:30 PM – 3:20 PM
AQ 5019, Burnaby
D105
Mo 3:30 PM – 4:20 PM
AQ 5029, Burnaby
ENGL 112W - Literature Now (3)

Introduces students to contemporary works of literature in English and/or contemporary approaches to interpreting literature. May focus on one or multiple genres. Includes attention to writing skills. Writing/Breadth-Humanities.

Section Instructor Day/Time Location
D100 Mary Ann Gillies
Tu, Th 9:30 AM – 10:20 AM
AQ 3005, Burnaby
D101
Th 8:30 AM – 9:20 AM
AQ 5019, Burnaby
D102
Tu 10:30 AM – 11:20 AM
AQ 5019, Burnaby
D103
Tu 10:30 AM – 11:20 AM
AQ 5015, Burnaby
D104
Tu 11:30 AM – 12:20 PM
AQ 5019, Burnaby
D105
Tu 11:30 AM – 12:20 PM
AQ 5015, Burnaby
ENGL 113W - Literature and Performance (3)

Introduces students to plays and performance works created and adapted for the stage, and/or the performative dimensions of other literary forms. May be organized historically, generically or thematically. The course may also explore the links between literary and performance theory. Includes attention to writing skills. Students with credit for ENGL 103W may not take this course for further credit. Writing/Breadth-Humanities.

Section Instructor Day/Time Location
D900 Nadine Flagel
Tu 10:30 AM – 12:20 PM
SUR 3090, Surrey
D901
Tu 12:30 PM – 1:20 PM
SUR 3010, Surrey
D902
Tu 12:30 PM – 1:20 PM
SUR 3150, Surrey
D903
Tu 2:30 PM – 3:20 PM
SUR 3010, Surrey
ENGL 114W - Language and Purpose (3)

Introduces students to the relationships between writing and purpose, between the features of texts and their meaning and effects. May focus on one or more literary or non-literary genres, including (but not limited to) essays, oratory, autobiography, poetry, and journalism. Includes attention to writing skills. Students with credit for ENGL 104W may not take this course for further credit. Writing/Breadth-Humanities.

Section Day/Time Location
C100 Distance Education
ENGL 115W - Literature and Culture (3)

An Introduction to the study of literature within the wider cultural field, with a focus on contemporary issues across genres and media. Students with credit for ENGL 105W may not take this course for further credit. Writing/Breadth-Humanities.

ENGL 199W - Writing to Persuade (3)

An introduction to reading and writing from a rhetorical perspective. The course treats reading and writing as activities that take place in particular circumstances and situations, in contrast to the traditional emphasis on decontextualized, formal features of texts. It prepares students for reading and writing challenges they are likely to encounter within and beyond the classroom. Prerequisite: 12 units. Students with credit for ENGL 199 may not take this course for further credit. Writing.

Section Day/Time Location
C100 Distance Education
PHIL 100W - Knowledge and Reality (3)

An introduction to some of the central problems of philosophy. Topics to be discussed include the different theories of reality; the nature and sources of knowledge, truth, evidence, and reason; the justification of belief and knowledge about the universe. These topics and problems will be considered as they arise in the context of issues such as: relativism versus absolutism; the existence of God; personal identity; the nature of the mind and its relation to the body; free will and determinism; the possibility of moral knowledge. Open to all students. Students with credit for PHIL 100 may not take this course for further credit. Writing/Breadth-Humanities.

Section Instructor Day/Time Location
D100 Martin Hahn
Tu 1:30 PM – 2:20 PM
Th 1:30 PM – 2:20 PM
WMC 3520, Burnaby
SSCB 9201, Burnaby
D101
Tu 9:30 AM – 10:20 AM
RCB 6122, Burnaby
D103
Tu 2:30 PM – 3:20 PM
RCB 6122, Burnaby
D104
Tu 12:30 PM – 1:20 PM
BLU 10901, Burnaby
D105
Tu 12:30 PM – 1:20 PM
RCB 6100, Burnaby
D106
Tu 2:30 PM – 3:20 PM
AQ 5019, Burnaby
D108
Th 2:30 PM – 3:20 PM
RCB 5100, Burnaby
D109
Th 11:30 AM – 12:20 PM
AQ 5015, Burnaby
D110
Th 12:30 PM – 1:20 PM
RCB 6122, Burnaby
D111
Th 12:30 PM – 1:20 PM
RCB 6100, Burnaby
D112
Th 2:30 PM – 3:20 PM
RCB 6122, Burnaby
D113
Tu 12:30 PM – 1:20 PM
RCB 6101, Burnaby
PHIL 105 - Critical Thinking (3)

An introduction to the evaluation of arguments as they are encountered in everyday life. The central aim will be to sharpen skills of reasoning and argumentation by understanding how arguments work and learning to distinguish those which actually prove what they set out to show from those which do not. Open to all students. Student with credit for PHIL XX1 may not take this course for further credit. Q/Breadth-Social Sci/Sciences.

Section Instructor Day/Time Location
D100 Lyle Crawford
Mo, We 11:30 AM – 12:20 PM
SSCC 9001, Burnaby
D101
Mo 9:30 AM – 10:20 AM
RCB 5125, Burnaby
D102
Mo 9:30 AM – 10:20 AM
AQ 5038, Burnaby
D103
Mo 9:30 AM – 10:20 AM
BLU 9655, Burnaby
D104
Mo 10:30 AM – 11:20 AM
BLU 9655, Burnaby
D105
Mo 12:30 PM – 1:20 PM
SWH 10075, Burnaby
D106
Mo 1:30 PM – 2:20 PM
RCB 5125, Burnaby
D107
We 9:30 AM – 10:20 AM
BLU 11901, Burnaby
D110
We 10:30 AM – 11:20 AM
RCB 6101, Burnaby
D111
We 12:30 PM – 1:20 PM
SWH 10075, Burnaby
D112
We 1:30 PM – 2:20 PM
AQ 5020, Burnaby
D113
Mo 10:30 AM – 11:20 AM
AQ 5038, Burnaby
D114
Mo 12:30 PM – 1:20 PM
AQ 5038, Burnaby
PHIL 120W - Moral Problems (3)

A critical examination of a range of questions and problems we confront as moral agents, such as: the nature and scope of our moral responsibilities, the source of our moral and civil rights, and the role of moral emotions, like resentment, love and forgiveness. Students with credit for PHIL 120 may not take this course for further credit. Writing/Breadth-Humanities.

Section Instructor Day/Time Location
D100 Chelsea Rosenthal
Tu 11:30 AM – 12:20 PM
Th 11:30 AM – 12:20 PM
SSCC 9001, Burnaby
SSCC 9001, Burnaby
D102
Tu 9:30 AM – 10:20 AM
RCB 5100, Burnaby
D103
Tu 10:30 AM – 11:20 AM
AQ 5038, Burnaby
D104
Tu 10:30 AM – 11:20 AM
RCB 5120, Burnaby
D105
Tu 10:30 AM – 11:20 AM
AQ 5014, Burnaby
D106
Tu 12:30 PM – 1:20 PM
RCB 7105, Burnaby
D107
Tu 12:30 PM – 1:20 PM
RCB 6122, Burnaby
D108
Tu 1:30 PM – 2:20 PM
AQ 5015, Burnaby
D111
Tu 12:30 PM – 1:20 PM
RCB 5125, Burnaby
D113
Th 10:30 AM – 11:20 AM
AQ 5015, Burnaby
D114
Th 12:30 PM – 1:20 PM
AQ 5019, Burnaby
D115
Th 12:30 PM – 1:20 PM
AQ 5015, Burnaby
D116
Th 1:30 PM – 2:20 PM
AQ 5019, Burnaby
WL 101W - Writing in World Literature (3)

Explores literary texts from diverse linguistic and cultural origins while introducing students to the fundamentals of comparative literary analysis and critical writing. May examine cross-cultural interactions, or compare texts thematically. Writing/Breadth-Humanities.

WL 103W - Early World Literatures (3)

Introduces ways of comparing early world literatures across time and space. May explore fundamental themes such as love, heroism, or the underworld. Writing/Breadth-Humanities.

WL 104W - Modern World Literatures (3)

Introduces ways of comparing modern world literatures across time and space. May explore topics such as revolution, technology, or existentialism. Writing/Breadth-Humanities.

Section Instructor Day/Time Location
D100 Mark Deggan
Th 12:30 PM – 2:20 PM
SWH 10061, Burnaby
D101 Mark Deggan
Th 2:30 PM – 3:20 PM
AQ 5025, Burnaby
D102 Mark Deggan
Th 3:30 PM – 4:20 PM
AQ 5025, Burnaby

It is recommended that students complete BUS 202 - Foundations for Collaborative Work Environments (3) in order to ensure they possess the foundational skills in communication and collaboration necessary for successful completion of upper division business coursework. Students wishing to register in BUS 202 should consult with an Undergraduate Academic Advisor in the Beedie School of Business.

* To aid your choice, prior to enrollment, consult a CS advisor

** Any one of these courses may be replaced by any three unspecified transfer units in English or in ENGL-Writing at the 100-or 200-level

Upper Division Requirements

Students complete all of

BUS 312 - Introduction to Finance (4)

Role and function of financial managers, financial analysis, compound interest valuation and capital budgeting, management of current assets, introduction to financial instruments and institutions. Prerequisite: BUS 254 (or 324); 45 units. Recommended: BUS 207, ECON 201, or ECON 301. Quantitative.

Section Instructor Day/Time Location
D100 Ron Zitron
Th 8:30 AM – 12:20 PM
SSCB 9200, Burnaby
D200 Ron Zitron
Fr 9:30 AM – 1:20 PM
SUR 3090, Surrey
BUS 336 - Data and Decisions II (4)

This course is an extension of BUEC 232. It develops and applies the quantitative models that are most directly relevant to business decisions. Beginning with material on multiple regression and forecasting modeling, the course moves on to decision analysis, business simulation, quality control, and an introduction to optimization. Prerequisite: MATH 150, MATH 151, MATH 154, or 157; BUEC 232 or STAT 270; 45 units. Quantitative.

Section Instructor Day/Time Location
D100 Andrew Flostrand
Mo, We 2:30 PM – 4:20 PM
EDB 7618, Burnaby
D200 George Zhang
Tu 1:30 PM – 5:20 PM
SUR 5140, Surrey
OP01
Mo 4:30 PM – 7:20 PM
WMC 2301, Burnaby
OP02
Tu 5:30 PM – 7:20 PM
WMC 2305, Burnaby
OP03
We 5:30 PM – 7:20 PM
WMC 2301, Burnaby
OP04
Tu 5:30 PM – 7:20 PM
SUR 3300, Surrey
OP05
Th 1:30 PM – 3:20 PM
SUR 3300, Surrey
BUS 343 - Introduction to Marketing (3)

The environment of marketing; relation of social sciences to marketing; evaluation of marketing theory and research; assessment of demand, consumer behavior analysis; market institutions; method and mechanics of distribution in domestic, foreign and overseas markets; sales organization; advertising; new product development, publicity and promotion; marketing programs. Prerequisite: 45 units. Students with credit for COMM 343 may not take this course for further credit.

Section Instructor Day/Time Location
D100 Pei-Shiuan Lin
Fr 10:30 AM – 12:20 PM
WMC 3520, Burnaby
D101
Fr 12:30 PM – 1:20 PM
WMC 2501, Burnaby
D102
Fr 12:30 PM – 1:20 PM
WMC 3251, Burnaby
D103
Fr 12:30 PM – 1:20 PM
WMC 2522, Burnaby
D104
Fr 1:30 PM – 2:20 PM
WMC 2501, Burnaby
D105
Fr 1:30 PM – 2:20 PM
WMC 3251, Burnaby
D106
Fr 1:30 PM – 2:20 PM
WMC 2522, Burnaby
D107
Fr 2:30 PM – 3:20 PM
WMC 2522, Burnaby
D108
Fr 2:30 PM – 3:20 PM
WMC 3251, Burnaby
D109
Fr 2:30 PM – 3:20 PM
WMC 2268, Burnaby
D200 Pei-Shiuan Lin
Th 12:30 PM – 2:20 PM
SUR 3310, Surrey
D201
Th 2:30 PM – 3:20 PM
SUR 3260, Surrey
D202
Th 2:30 PM – 3:20 PM
SUR 3290, Surrey
D203
Th 2:30 PM – 3:20 PM
SUR 3010, Surrey
D204
Th 3:30 PM – 4:20 PM
SUR 3260, Surrey
D205
Th 3:30 PM – 4:20 PM
SUR 3290, Surrey
BUS 361 - Project Management (3)

Introduction to the hard and soft skills of project management. Management software and techniques such as work breakdown, estimation, budgeting and status reporting are used. Applies structured processes and develops team-based skills and knowledge. Assumes no prior computing or technical knowledge. Prerequisite: 45 units.

Section Instructor Day/Time Location
D100 Ulrich Paschen
Mo 2:30 PM – 5:20 PM
WMC 2220, Burnaby
E100 Daniel Veloso Magnino
We 6:00 PM – 8:50 PM
WMC 2200, Burnaby
BUS 468 - Managing Information Technology for Business Value (3)

Focuses both on current issues (e.g. build/buy, outsourcing, alignment) and emerging issues (e.g. social networking, utility computing, knowledge management and privacy) in obtaining value from information technology. Prerequisite: BUS 237, 360W; 90 units. Recommended: BUS 362.

Section Instructor Day/Time Location
D100 Diane Gutiw
We 2:30 PM – 5:20 PM
WMC 3510, Burnaby
E100 Richard Wong
Mo 5:30 PM – 8:20 PM
WMC 3220, Burnaby
BUS 478 - Strategy (3) ^

Integration of the various areas of business for the purpose of analysing and recommending strategies for planning and decision-making within the firm and a defined environment. Prerequisite: BUS 207 (or ECON 201 or ECON 301), BUS 312, 343, 360W and either BUS 374 or 381; 90 units.

Section Instructor Day/Time Location
D100 Edward Bukszar
Mo 9:30 AM – 12:20 PM
WMC 3510, Burnaby
D200 Edward Bukszar
Mo 2:30 PM – 5:20 PM
WMC 3510, Burnaby
D300 Anthony Chan
Tu 11:30 AM – 2:20 PM
WMC 2202, Burnaby
D400 Pek-Hooi Soh
Mo 9:30 AM – 12:20 PM
WMC 3210, Burnaby
D500 Rui Jorge Basto da Silva
Fr 9:30 AM – 12:20 PM
SUR 5380, Surrey
E100 Matthew Martell
Th 5:30 PM – 8:20 PM
WMC 2202, Burnaby
E200 Anthony Chan
Tu 5:30 PM – 8:20 PM
WMC 3533, Burnaby
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 Arrvindh Shriraman
Tu 2:30 PM – 4:20 PM
Th 2:30 PM – 3:20 PM
SSCB 9200, Burnaby
AQ 3181, Burnaby
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 Valentine Kabanets
Mo, We, Fr 3:30 PM – 4:20 PM
AQ 3181, Burnaby
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 Ouldooz Baghban Karimi
Tu 1:30 PM – 2:20 PM
Th 12:30 PM – 2:20 PM
AQ 3181, Burnaby
SSCB 9200, Burnaby

and one of

BUS 374 - Organization Theory (3)

This course will examine theories of organization which use the organization as a basic unit of analysis. It will show how the structure and internal processes of an organization are linked to and partially determined by forces in the external environment of the organization. Contextual factors such as the technology and corporate strategy of the organization will also be examined. Prerequisite: 45 units; BUS 272 (or 372).

Section Instructor Day/Time Location
D100 Rajiv Kozhikode
Fr 9:30 AM – 12:20 PM
AQ 3154, Burnaby
BUS 381 - Introduction to Human Resource Management (3)

Subjects include human resource planning, job analysis and design, recruitment, employment equity, selection and placement, performance appraisal, compensation and benefits, training and development, occupational health and safety, and industrial relations. For each subject an overview of current Canadian issues and practices is presented. Prerequisite: BUS 272 (or 372); 45 units.

Section Instructor Day/Time Location
D100 Robert Weston
Mo 2:30 PM – 5:20 PM
WMC 3260, Burnaby
E100 Robert Weston
We 5:30 PM – 8:20 PM
WMC 3260, Burnaby

and one of

BUS 466 - Web-Enabled Business (3)

Explores strategic issues and technologies in contemporary web-based business, from the evolution of business applications on the Internet through to contemporary Open Source and Web 2.0 applications. In depth exploration of new technology and business applications related to these technologies. Prerequisite: BUS 237, 360W; 60 units.

Section Instructor Day/Time Location
D100 Drew Parker
Th 11:30 AM – 2:20 PM
WMC 3250, Burnaby
D200 Drew Parker
Fr 9:30 AM – 12:20 PM
WMC 3250, Burnaby
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
E100 Ouldooz Baghban Karimi
Tu 5:30 PM – 8:20 PM
WMC 3520, Burnaby

and fifteen additional upper division CMPT units, excluding CMPT 301. At least one of the courses must be at the 400 division or above.

Students may choose to complete one or more business concentrations by meeting the concentration requirements listed on the Business Major page of the calendar.

^ to be completed at Simon Fraser University

Degree Choice

Upon successful completion of the above requirements, students will be awarded a bachelor of business administration degree, offered by the Beedie School of Business.

To be eligible for a bachelor of science degree, offered by the Faculty of Applied Sciences, students complete all of the requirements listed above and two additional courses: MACM 316 and a course from the School of Computing Science’s table I, II, or III (excluding CMPT 301).

Table I - Computing Science Concentrations

Artificial Intelligence

CMPT 310 - Artificial Intelligence Survey (3)

Provides a unified discussion of the fundamental approaches to the problems in artificial intelligence. The topics considered are: representational typology and search methods; game playing, heuristic programming; pattern recognition and classification; theorem-proving; question-answering systems; natural language understanding; computer vision. Prerequisite: CMPT 225 and (MACM 101 or ENSC 251 and ENSC 252)). Students with credit for CMPT 410 may not take this course for further credit.

Section Instructor Day/Time Location
D100 Toby Donaldson
Mo, We, Fr 10:30 AM – 11:20 AM
AQ 3181, Burnaby
CMPT 340 - Biomedical Computing (3)

The principles involved in using computers for data acquisition, real-time processing, pattern recognition and experimental control in biology and medicine will be developed. The use of large data bases and simulation will be explored. Prerequisite: Completion of 60 units including one of CMPT 125, 126, 128, 135 or (102 with a grade of B or higher).

CMPT 411 - Knowledge Representation (3)

Formal and foundational issues dealing with the representation of knowledge in artificial intelligence systems are covered. Questions of semantics, incompleteness, non-monotonicity and others will be examined. As well, particular approaches, such as procedural or semantic network, may be discussed. Prerequisite: Completion of nine units in Computing Science upper division courses or, in exceptional cases, permission of the instructor.

CMPT 412 - Computational Vision (3)

Computational approaches to image understanding will be discussed in relation to theories about the operation of the human visual system and with respect to practical applications in robotics. Topics will include edge detection, shape from shading, stereopsis, optical flow, Fourier methods, gradient space, three-dimensional object representation and constraint satisfaction. Prerequisite: MATH 152, and nine units in Computing upper division courses or permission of the instructor.

CMPT 413 - Computational Linguistics (3)

This course examines the theoretical and applied problems of constructing and modelling systems, which aim to extract and represent the meaning of natural language sentences or of whole discourses, but drawing on contributions from the fields of linguistics, cognitive psychology, artificial intelligence and computing science. Prerequisite: Completion of nine units in Computing Science upper division courses or, in exceptional cases, permission of the instructor.

CMPT 414 - Model-Based Computer Vision (3)

This course covers various topics in computer vision with the emphasis on the model-based approach. Main subjects include 2-D and 3-D representations, matching, constraint relaxation, model-based vision systems. State-of-the-art robot vision systems will be used extensively as study cases. The solid modelling and CAD aspects of this course should also interest students of computer graphics. Prerequisite: MATH 152 and nine units in CMPT upper division courses, or permission of the instructor.

CMPT 417 - Intelligent Systems (3)

Intelligent Systems using modern constraint programming and heuristic search methods. A survey of this rapidly advancing technology as applied to scheduling, planning, design and configuration. An introduction to constraint programming, heuristic search, constructive (backtrack) search, iterative improvement (local) search, mixed-initiative systems and combinatorial optimization. Prerequisite: CMPT 225.

CMPT 419 - Special Topics in Artificial Intelligence (3)

Current topics in artificial intelligence depending on faculty and student interest.

Computer Graphics and Multimedia

CMPT 361 - Introduction to Computer Graphics (3)

This course provides an introduction to the fundamentals of computer graphics. Topics include graphics display and interaction hardware, basic algorithms for 2D primitives, anti-aliasing, 2D and 3D geometrical transformations, 3D projections/viewing, Polygonal and hierarchical models, hidden-surface removal, basic rendering techniques (color, shading, raytracing, radiosity), and interaction techniques. Prerequisite: CMPT 225 and MATH 232 or 240.

Section Instructor Day/Time Location
D100 KangKang Yin
Mo, We, Fr 11:30 AM – 12:20 PM
AQ 3150, Burnaby
CMPT 363 - User Interface Design (3)

This course provides a comprehensive study of user interface design. Topics include: goals and principles of UI design (systems engineering and human factors), historical perspective, current paradigms (widget-based, mental model, graphic design, ergonomics, metaphor, constructivist/iterative approach, and visual languages) and their evaluation, existing tools and packages (dialogue models, event-based systems, prototyping), future paradigms, and the social impact of UI. Prerequisite: CMPT 225.

Section Instructor Day/Time Location
E100 Herbert Tsang
We 4:30 PM – 7:20 PM
AQ 3003, Burnaby
CMPT 365 - Multimedia Systems (3)

Multimedia systems design, multimedia hardware and software, issues in effectively representing, processing, and retrieving multimedia data such as text, graphics, sound and music, image and video. Prerequisite: CMPT 225.

CMPT 461 - Image Synthesis (3)

Covers advanced topics and techniques in computer graphics with a focus on image synthesis. Topics include photorealistic rendering, advanced ray tracing, Monte Carlo methods, photon maps, radiosity, light fields, participating media, as well as tone reproduction. Prerequisite: CMPT 361, MACM 201 and 316. Students with credit for CMPT 451 may not take this course for further credit.

CMPT 464 - Geometric Modelling in Computer Graphics (3)

Covers advanced topics in geometric modelling and processing for computer graphics, such as Bezier and B-spline techniques, subdivision curves and surfaces, solid modelling, implicit representation, surface reconstruction, multi-resolution modelling, digital geometry processing (e.g. mesh smoothing, compression, and parameterization), point-based representation, and procedural modelling. Prerequisite: CMPT 361, MACM 316. Students with credit for CMPT 469 between 2003 and 2007 or equivalent may not take this course for further credit.

CMPT 466 - Animation (3)

Topics and techniques in animation, including: The history of animation, computers in animation, traditional animation approaches, and computer animation techniques such as geometric modelling, interpolation, camera controls, kinematics, dynamics, constraint-based animation, realistic motion, temporal aliasing, digital effects and post production. Prerequisite: CMPT 361 and MACM 316 or permission of the instructor.

CMPT 469 - Special Topics in Computer Graphics (3)

Current topics in computer graphics depending on faculty and student interest. Prerequisite: CMPT 361.

Computing Systems

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 Arrvindh Shriraman
Tu 2:30 PM – 4:20 PM
Th 2:30 PM – 3:20 PM
SSCB 9200, Burnaby
AQ 3181, Burnaby
CMPT 305 - Computer Simulation and Modelling (3)

This course is an introduction to the modelling, analysis, and computer simulation of complex systems. Topics include analytic modelling, discrete event simulation, experimental design, random number generation, and statistical analysis. Prerequisite: CMPT 225, (MACM 101 or (ENSC 251 and ENSC 252)) and STAT 270.

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
E100 Ouldooz Baghban Karimi
Tu 5:30 PM – 8:20 PM
WMC 3520, Burnaby
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.

Section Instructor Day/Time Location
D100 Anoop Sarkar
Tu 10:30 AM – 11:20 AM
Th 9:30 AM – 11:20 AM
BLU 9660, Burnaby
SSCK 9500, 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. Students with credit for CMPT 401 before September 2008 may not take this course for further credit.

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.

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 Janice Regan
Mo, We, Fr 2:30 PM – 3:20 PM
BLU 9660, Burnaby
CMPT 479 - Special Topics in Computing Systems (3)

Current topics in computing systems depending on faculty and student interest. Prerequisite: CMPT 300.

CMPT 499 - Special Topics in Computer Hardware (3)

Current topics in computer hardware depending on faculty and student interest. Prerequisite: CMPT/ENSC 250.

Information Systems

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 Ouldooz Baghban Karimi
Tu 1:30 PM – 2:20 PM
Th 12:30 PM – 2:20 PM
AQ 3181, Burnaby
SSCB 9200, Burnaby
CMPT 441 - Computational Biology (3)

This course introduces students to the computing science principles underlying computational biology. The emphasis is on the design, analysis and implementation of computational techniques. Possible topics include algorithms for sequence alignment, database searching, gene finding, phylogeny and structure analysis. Prerequisite: CMPT 307. Students with credit for CMPT 341 may not take this course for further credit.

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 1:30 PM – 2:20 PM
Th 12:30 PM – 2:20 PM
BLU 9660, Burnaby
BLU 9660, Burnaby
CMPT 456 - Information Retrieval and Web Search (3)

Introduction to the essentials of information retrieval and the applications of information retrieval in web search and web information systems. Topics include the major models of information retrieval, similarity search, text content search, link structures and web graphics, web mining and applications, crawling, search engines, and some advanced topics such as spam detection, online advertisement, and fraud detection in online auctions. Prerequisite: CMPT 354.

CMPT 459 - Special Topics in Database Systems (3)

Current topics in database and information systems depending on faculty and student interest. Prerequisite: CMPT 354.

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.

Section Instructor Day/Time Location
D100 Gregory Baker
Tu 2:30 PM – 4:20 PM
Th 2:30 PM – 3:20 PM
BLU 9660, Burnaby
BLU 9660, Burnaby
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.

Programming Languages and Software

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 213 and (CMPT 276 or 275).

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 1:30 PM – 2:20 PM
AQ 3181, 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)).

CMPT 473 - Software Quality Assurance (3)

Factors in software quality include functionality, reliability, usability, efficiency, maintainability, and portability. Techniques for assessing the quality of software with respect to such factors, and methods for improving the quality of both software products and software development processes. Prerequisite: CMPT 373.

CMPT 475 - Requirements Engineering (3)

Software succeeds when it is well-matched to its intended purpose. Requirements engineering is the process of discovering that purpose by making requirements explicit and documenting them in a form amenable to analysis, reasoning, and validation, establishing the key attributes of a system prior to its construction. Students will learn methodical approaches to requirements analysis and design specification in early systems development phases, along with best practices and common principles to cope with notoriously changing requirements. Prerequisite: CMPT 275 or 276, MACM 201 and 15 units of upper division courses. Recommended: co-op experience.

Section Instructor Day/Time Location
E100 Dan Ridinger
Th 5:30 PM – 8:20 PM
BLU 9660, Burnaby
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.

CMPT 489 - Special Topics in Programming Language (3)

Current topics in programming languages depending on faculty and student interest. Prerequisite: CMPT 383.

Theoretical Computing Science

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 Valentine Kabanets
Mo, We, Fr 3:30 PM – 4:20 PM
AQ 3181, Burnaby
CMPT 308 - Computability and Complexity (3)

This course introduces students to formal models of computations such as Turing machines and RAMs. Notions of tractability and intractability are discusses both with respect to computability and resource requirements. The relationship of these concepts to logic is also covered. Prerequisite: MACM 201.

Section Instructor Day/Time Location
D100 Valentine Kabanets
Mo, We, Fr 1:30 PM – 2:20 PM
WMC 3260, Burnaby
CMPT 404 - Cryptography and Cryptographic Protocols (3)

The main cryptographic tools and primitives, their use in cryptographic applications; security and weaknesses of the current protocols. The notion of security, standard encryption schemes, digital signatures, zero-knowledge, selected other topics. Prerequisite: MACM 201. CMPT 307 and 308 are recommended.

CMPT 405 - Design and Analysis of Computing Algorithms (3)

Models of computation, methods of algorithm design; complexity of algorithms; algorithms on graphs, NP-completeness, approximation algorithms, selected topics. Prerequisite: CMPT 307.

CMPT 407 - Computational Complexity (3)

Machine models and their equivalences, complexity classes, separation theorems, reductions, Cook's theorem, NP-completeness, the polynomial time hierarchy, boolean circuit models and parallel complexity theory, other topics of interest to the students and instructor. Prerequisite: CMPT 307.

CMPT 408 - Theory of Computing Networks/Communications (3)

Network design parameters and goals, dynamic networks and permutations, routing in direct networks, structured communication in direct networks, other topics of interest to the students and instructor. Prerequisite: CMPT 307 and 371.

CMPT 409 - Special Topics in Theoretical Computing Science (3)

Current topics in theoretical computing science depending on faculty and student interest. Prerequisite: CMPT 307.

MACM 300 - Introduction to Formal Languages and Automata with Applications (3)

Languages, grammars, automata and their applications to natural and formal language processing. Prerequisite: MACM 201. Quantitative.

Table II – Application Courses

Currently no courses.

Table III – Computing Mathematics Courses

MACM 316 - Numerical Analysis I (3)

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

Section Instructor Day/Time Location
D100 Benjamin Adcock
Mo, We, Fr 10:30 AM – 11:20 AM
RCB IMAGTH, Burnaby
D101
Mo 2:30 PM – 3:20 PM
WMC 2830, Burnaby
D102
Mo 3:30 PM – 4:20 PM
WMC 2830, Burnaby
D103
Tu 10:30 AM – 11:20 AM
WMC 2830, Burnaby
D104
Tu 11:30 AM – 12:20 PM
WMC 2830, Burnaby
D105
Tu 9:30 AM – 10:20 AM
WMC 2830, Burnaby
D106
Tu 1:30 PM – 2:20 PM
WMC 2830, Burnaby
D107
Mo 4:30 PM – 5:20 PM
WMC 2830, Burnaby
D108
Mo 5:30 PM – 6:20 PM
WMC 2830, Burnaby
D109
Mo 11:30 AM – 12:20 PM
WMC 2830, Burnaby
MACM 401 - Introduction to Computer Algebra (3)

Data structures and algorithms for mathematical objects. Topics include long integer arithmetic, computing polynomial greatest common divisors, the fast Fourier transform, Hensel's lemma and p-adic methods, differentiation and simplification of formulae, and polynomial factorization. Students will use a computer algebra system such as Maple for calculations and programming. Prerequisite: CMPT 307 or MATH 332 or MATH 340. Quantitative.

MATH 308 - Linear Optimization (3)

Linear programming modelling. The simplex method and its variants. Duality theory. Post-optimality analysis. Applications and software. Additional topics may include: game theory, network simplex algorithm, and convex sets. Prerequisite: MATH 150, 151, 154, or 157 and MATH 240 or 232. Quantitative.

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

The integers and mathematical proof. Relations and modular arithmetic. Rings and fields, polynomial rings, the Euclidean algorithm. The complex numbers and the fundamental theorem of algebra. Construction of finite fields, primitive elements in finite fields, and their application. Prerequisite: MATH 240 (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.

MATH 343 - Applied Discrete Mathematics (3)

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

MACM 442 - Cryptography (3)

An introduction to the subject of modern cryptography. Classical methods for cryptography and how to break them, the data encryption standard (DES), the advanced encryption standard (AES), the RSA and ElGammal public key cryptosystems, digital signatures, secure hash functions and pseudo-random number generation. Algorithms for computing with long integers including the use of probabilistic algorithms. Prerequisite: (CMPT 201 or 225) and one of (MATH 340 or 332 or 342); or CMPT 405. Students with credit for MACM 498 between Fall 2003 and Spring 2006 may not take this course for further credit. Quantitative.

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.

 

Business Career Passport Requirements

Business Career Passport (BCP) is a mandatory program for Bachelor of Business Administration (BBA) students to kick-start their career.

  • Students admitted to the BBA program for the Fall 2017 term onwards are required to complete the program within 12 months of the start of their program.
  • Students admitted to the BBA program from the Fall 2012 term to the Summer 2017 term are required to complete the program prior to graduation.

For more information, click here.

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 computing science students are strongly encouraged to explore the opportunities that Work Integrated Learning (WIL) can offer. Please contact a computing science 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.