Please note:

To view the Fall 2021 Academic Calendar, go to www.sfu.ca/students/calendar/2021/fall.html.

Geographic Information Science Major

Bachelor of Science

The School of Computing Science and the Department of Geography offer a major leading to a bachelor of science degree.

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. 

For more information, contact an Applied Sciences Advisor.

Internal Transfer

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

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

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

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

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

Continuation Requirements

Students who do not maintain at least a 2.40 CGPA will be placed on probation within 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

In addition to university minimum overall CGPA and UDGPA requirements, a minimum program CGPA and UDGPA of 2.00 must be obtained for courses used to fulfil 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

Lower Division Requirements

Students complete all of the following

CMPT 225 - Data Structures and Programming (3)

Introduction to a variety of practical and important data structures and methods for implementation and for experimental and analytical evaluation. Topics include: stacks, queues and lists; search trees; hash tables and algorithms; efficient sorting; object-oriented programming; time and space efficiency analysis; and experimental evaluation. Prerequisite: (MACM 101 and (CMPT 125, CMPT 129 or CMPT 135)) or (ENSC 251 and ENSC 252), all with a minimum grade of C-. Quantitative.

Section Instructor Day/Time Location
D100 John Edgar
We 3:30 PM – 4:20 PM
Fr 2:30 PM – 4:20 PM
SRYE 1002, Surrey
SRYE 1002, Surrey
D101 John Edgar
Tu 11:30 AM – 12:20 PM
SRYE 4024, Surrey
D102 John Edgar
Tu 11:30 AM – 12:20 PM
SRYE 4013, Surrey
D103 John Edgar
Tu 12:30 PM – 1:20 PM
SRYE 4024, Surrey
D104 John Edgar
Tu 12:30 PM – 1:20 PM
SRYE 4013, Surrey
D105 John Edgar
Tu 1:30 PM – 2:20 PM
SRYE 4024, Surrey
D106 John Edgar
Tu 1:30 PM – 2:20 PM
SRYE 4013, Surrey
D107 John Edgar
Tu 2:30 PM – 3:20 PM
SRYE 4024, Surrey
D108 John Edgar
Tu 2:30 PM – 3:20 PM
SRYE 4013, Surrey
D200 Anne Lavergne
Mo, We, Fr 1:30 PM – 2:20 PM
WMC 3520, Burnaby
D201 Anne Lavergne
Tu 1:30 PM – 2:20 PM
ASB 9898, Burnaby
D202 Anne Lavergne
Tu 1:30 PM – 2:20 PM
ASB 9898, Burnaby
D203 Anne Lavergne
Tu 2:30 PM – 3:20 PM
ASB 9898, Burnaby
D204 Anne Lavergne
Tu 2:30 PM – 3:20 PM
ASB 9898, Burnaby
D205 Anne Lavergne
Tu 3:30 PM – 4:20 PM
ASB 9898, Burnaby
D206 Anne Lavergne
Tu 3:30 PM – 4:20 PM
ASB 9898, Burnaby
D207 Anne Lavergne
Tu 4:30 PM – 5:20 PM
ASB 9898, Burnaby
D208 Anne Lavergne
Tu 4:30 PM – 5:20 PM
ASB 9898, Burnaby
GEOG 100 - Our World: Introducing Human Geography (3)

A geographical introduction to how humans shape our world, with attention also given to how it shapes us. Themes may include: culture, economic activities, environmental change, globalization, politics, population, resources, and urbanization. Breadth-Humanities/Social Sciences.

Section Instructor Day/Time Location
D100 Nicholas Blomley
Mo 10:30 AM – 12:20 PM
We 10:30 AM – 11:20 AM
WMC 3520, Burnaby
SSCB 9201, Burnaby
D200 Sessional
Tu 2:30 PM – 5:20 PM
REMOTE LEARNING, Burnaby
GEOG 111 - Earth Systems (3)

An introduction to landforms, climates, soils and vegetation; their origins, distributions, interrelationships and roles in the ecosystem. Laboratory work and field trips are included. Breadth-Science.

Section Instructor Day/Time Location
D100 Andrew Perkins
Mo 2:30 PM – 4:20 PM
AQ 3181, Burnaby
D101 Mo 4:30 PM – 6:20 PM
RCB 7108, Burnaby
D102 Mo 4:30 PM – 6:20 PM
RCB 7110, Burnaby
D103 Tu 8:30 AM – 10:20 AM
RCB 7110, Burnaby
D104 Tu 10:30 AM – 12:20 PM
RCB 7110, Burnaby
D105 Tu 12:30 PM – 2:20 PM
RCB 7110, Burnaby
D106 Tu 2:30 PM – 4:20 PM
RCB 7110, Burnaby
D107 We 8:30 AM – 10:20 AM
RCB 7110, Burnaby
D108 We 10:30 AM – 12:20 PM
RCB 7110, Burnaby
D109 We 12:30 PM – 2:20 PM
RCB 7110, Burnaby
D110 We 2:30 PM – 4:20 PM
RCB 7110, Burnaby
D111 Th 2:30 PM – 4:20 PM
RCB 7110, Burnaby
GEOG 253 - Introduction to Remote Sensing (3)

An introduction to the theories and practices of remote sensing, including sensors and platforms, image collection, preliminary image analysis and interpretation, and a review of remote sensing applications in environmental monitoring and resource management. Prerequisite: GEOG 111. Quantitative/Breadth-Science.

Section Instructor Day/Time Location
D100 Sessional
Th 2:30 PM – 4:20 PM
REMOTE LEARNING, Burnaby
D101 Th 4:30 PM – 6:20 PM
REMOTE LEARNING, Burnaby
D102 Fr 8:30 AM – 10:20 AM
REMOTE LEARNING, Burnaby
D103 Fr 10:30 AM – 12:20 PM
REMOTE LEARNING, Burnaby
GEOG 255 - Geographical Information Science I (3)

A basic overview of Geographical Information Systems and Science; GIS software, hardware, data structures and models; spatial data, operations and algorithms; practical applications and limitations. Prerequisite: GEOG 100 or 111 or permission of instructor. Students with credit for GEOG 354 may not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Nicholas Hedley
Mo 12:30 PM – 2:20 PM
REMOTE LEARNING, Burnaby
D101 Mo 2:30 PM – 4:20 PM
REMOTE LEARNING, Burnaby
D102 Tu 8:30 AM – 10:20 AM
REMOTE LEARNING, Burnaby
D103 Tu 10:30 AM – 12:20 PM
REMOTE LEARNING, 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 Tu 4:30 PM – 6:20 PM
Th 4:30 PM – 5:20 PM
RCB IMAGTH, Burnaby
SWH 10081, Burnaby
D101 Th 3:30 PM – 4:20 PM
WMC 2523, Burnaby
D102 Th 3:30 PM – 4:20 PM
BLU 9655, Burnaby
D103 Th 1:30 PM – 2:20 PM
BLU 11901, Burnaby
D104 Th 1:30 PM – 2:20 PM
BLU 10901, Burnaby
D105 Th 2:30 PM – 3:20 PM
BLU 9655, Burnaby
D106 Th 2:30 PM – 3:20 PM
AQ 5009, Burnaby
D107 Th 5:30 PM – 6:20 PM
WMC 2533, Burnaby
D108 Th 5:30 PM – 6:20 PM
AQ 5047, Burnaby
D200 Harinder Khangura
Mo 2:30 PM – 4:20 PM
We 2:30 PM – 3:20 PM
SRYE 1002, Surrey
SRYE 1002, Surrey
D201 Harinder Khangura
Th 1:30 PM – 2:20 PM
SRYE 3024, Surrey
D202 Harinder Khangura
Th 2:30 PM – 3:20 PM
SRYE 3024, Surrey
D203 Harinder Khangura
Th 2:30 PM – 3:20 PM
SRYE 4013, Surrey
D204 Harinder Khangura
Th 3:30 PM – 4:20 PM
SRYE 3024, Surrey
D205 Harinder Khangura
Th 3:30 PM – 4:20 PM
SRYE 4013, Surrey
D206 Harinder Khangura
Th 3:30 PM – 4:20 PM
SRYE 4024, Surrey
D207 Harinder Khangura
Th 4:30 PM – 5:20 PM
SRYE 3024, Surrey
D208 Harinder Khangura
Th 4:30 PM – 5:20 PM
SRYE 4013, Surrey
MACM 201 - Discrete Mathematics II (3)

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

Section Instructor Day/Time Location
D100 Bojan Mohar
Mo, We, Fr 12:30 PM – 1:20 PM
SSCC 9001, Burnaby
D200 Mahdieh Malekian
Mo, We, Fr 8:30 AM – 9:20 AM
SRYC 5280, Surrey
OP01 TBD
OP02 TBD

and either both of

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

An elementary introduction to computing science and computer programming, suitable for students with little or no programming background. Students will learn fundamental concepts and terminology of computing science, acquire elementary skills for programming in a high-level language, e.g. Python. The students will be exposed to diverse fields within, and applications of computing science. Topics will include: pseudocode; data types and control structures; fundamental algorithms; recursion; reading and writing files; measuring performance of algorithms; debugging tools; basic terminal navigation using shell commands. Treatment is informal and programming is presented as a problem-solving tool. Prerequisite: BC Math 12 or equivalent is recommended. Students with credit for CMPT 102, 128, 130 or 166 may not take this course for further credit. Students who have taken CMPT 125, 129, 130 or 135 first may not then take this course for further credit. Quantitative/Breadth-Science.

Section Instructor Day/Time Location
D100 Diana Cukierman
Mo, We 8:30 AM – 9:20 AM
Fr 8:30 AM – 9:20 AM
SWH 10081, Burnaby
SSCB 9201, Burnaby
D200 Diana Cukierman
Mo, We, Fr 1:30 PM – 2:20 PM
SSCB 9200, Burnaby
D400 John Edgar
Mo, We, Fr 8:30 AM – 9:20 AM
SRYE 1002, Surrey
D401 John Edgar
Mo 9:30 AM – 10:20 AM
SRYE 4013, Surrey
D402 John Edgar
Mo 9:30 AM – 10:20 AM
SRYE 4024, Surrey
D403 John Edgar
Mo 10:30 AM – 11:20 AM
SRYE 4013, Surrey
D404 John Edgar
Mo 10:30 AM – 11:20 AM
SRYE 4024, Surrey
D405 John Edgar
Mo 1:30 PM – 2:20 PM
SRYE 4013, Surrey
D406 John Edgar
Mo 1:30 PM – 2:20 PM
SRYE 4024, Surrey
D407 John Edgar
Mo 12:30 PM – 1:20 PM
SRYE 4013, Surrey
D408 John Edgar
Mo 12:30 PM – 1:20 PM
SRYE 4024, Surrey
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: memory management; fundamental algorithms; formally analyzing the running time of algorithms; abstract data types and elementary data structures; object-oriented programming and software design; specification and program correctness; reading and writing files; debugging tools; shell commands. Prerequisite: CMPT 120 or CMPT 130, with a minimum grade of C-. Students with credit for CMPT 126, 129, 135 or CMPT 200 or higher may not take this course for further credit. Quantitative.

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

or both of

CMPT 130 - Introduction to Computer Programming I (3)

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

Section Instructor Day/Time Location
D100 Brian Fraser
Mo, We, Fr 9:30 AM – 10:20 AM
SRYE 1002, Surrey
D101 Brian Fraser
Th 10:30 AM – 11:20 AM
SRYE 4013, Surrey
D102 Brian Fraser
Th 10:30 AM – 11:20 AM
SRYE 4024, Surrey
D103 Brian Fraser
Th 11:30 AM – 12:20 PM
SRYE 4013, Surrey
D104 Brian Fraser
Th 11:30 AM – 12:20 PM
SRYE 4024, Surrey
D105 Brian Fraser
Th 12:30 PM – 1:20 PM
SRYE 4013, Surrey
D106 Brian Fraser
Th 12:30 PM – 1:20 PM
SRYE 4024, Surrey
D107 Brian Fraser
Th 1:30 PM – 2:20 PM
SRYE 4013, Surrey
D108 Brian Fraser
Th 1:30 PM – 2:20 PM
SRYE 4024, Surrey
CMPT 135 - Introduction to Computer Programming II (3)

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

Section Instructor Day/Time Location
D100 Toby Donaldson
Mo 12:30 PM – 2:20 PM
We 12:30 PM – 1:20 PM
SRYE 1002, Surrey
SRYE 1002, Surrey
D101 Toby Donaldson
We 10:30 AM – 11:20 AM
SRYE 4024, Surrey
D102 Toby Donaldson
We 10:30 AM – 11:20 AM
SRYE 3024, Surrey
D103 Toby Donaldson
We 2:30 PM – 3:20 PM
SRYE 3024, Surrey
D104 Toby Donaldson
We 1:30 PM – 2:20 PM
SRYE 4024, Surrey
D105 Toby Donaldson
We 1:30 PM – 2:20 PM
SRYE 3024, Surrey
D106 Toby Donaldson
We 8:30 AM – 9:20 AM
SRYE 4024, Surrey
D107 Toby Donaldson
We 8:30 AM – 9:20 AM
SRYE 3024, Surrey
D108 Toby Donaldson
We 8:30 AM – 9:20 AM
SRYE 4013, Surrey

and one of

GEOG 213 - Introduction to Geomorphology (3)

An exploration of the processes that shape Earth's surface and the landforms that result. Prerequisite: GEOG 111 or EASC 101. Quantitative/Breadth-Science.

Section Instructor Day/Time Location
D100 Sessional
Th 12:30 PM – 2:20 PM
WMC 2202, Burnaby
D101 Th 2:30 PM – 4:20 PM
RCB 7108, Burnaby
D102 Th 4:30 PM – 6:20 PM
RCB 7108, Burnaby
D103 Fr 12:30 PM – 2:20 PM
RCB 7110, Burnaby
GEOG 214 - Weather and Climate (3)

An examination of the basic principles and processes governing the Earth's weather and climate. Topics include: radiation, greenhouse effect, clouds, precipitation, atmospheric circulation, mid-latitude cyclones, tropical storms, climate change. Prerequisite: GEOG 111. Quantitative.

Section Instructor Day/Time Location
D100 Sessional
Fr 2:30 PM – 4:20 PM
WMC 2202, Burnaby
D101 Fr 12:30 PM – 2:20 PM
AQ 2109, Burnaby
D102 We 2:30 PM – 4:20 PM
AQ 2109, Burnaby
D103 We 12:30 PM – 2:20 PM
AQ 2109, Burnaby
GEOG 215 - The Biosphere (3)

An introduction to the planetary biosphere, its living organisms, and their interactions with each other and the Earth system. Prerequisite: GEOG 111.

Section Instructor Day/Time Location
D100 Margaret Schmidt
Tu 12:30 PM – 2:20 PM
WMC 2220, Burnaby
D101 We 10:30 AM – 12:20 PM
RCB 7108, Burnaby
D102 We 12:30 PM – 2:20 PM
RCB 7108, Burnaby
D103 We 2:30 PM – 4:20 PM
RCB 7108, Burnaby
GEOG 221 - Economic Worlds (3)

The fundamentals of economics geography, the study of the forces that shape the arrangement of economic activity in the real world. Prerequisite: GEOG 100. Breadth-Social Sciences.

Section Instructor Day/Time Location
D100 Leanne Roderick
Th 10:30 AM – 12:20 PM
WMC 2200, Burnaby
D101 Th 12:30 PM – 1:20 PM
AQ 5049, Burnaby
D102 Th 1:30 PM – 2:20 PM
AQ 5051, Burnaby
D103 Th 2:30 PM – 3:20 PM
AQ 5038, Burnaby
GEOG 241 - People, Place, Society (3)

An introduction to key concepts and contexts in contemporary geographical approaches to social practices, meanings, and struggles. Prerequisite: GEOG 100. Breadth-Social Sciences.

Section Instructor Day/Time Location
D100 Paul Kingsbury
Tu 10:30 AM – 12:20 PM
,
D101 Tu 12:30 PM – 1:20 PM
AQ 5027, Burnaby
D102 Tu 1:30 PM – 2:20 PM
AQ 5050, Burnaby
D103 Tu 2:30 PM – 3:20 PM
AQ 5038, Burnaby
GEOG 261 - Encountering the City (3)

An introduction to key concepts and themes in contemporary geographical approaches to cities and urbanization. Prerequisite: GEOG 100 or 102. Breadth-Social Sciences.

and one of

GEOG 251 - Quantitative Geography (3)

An introduction to basic quantitative techniques for the collection of geographic data. Topics include describing data, gathering samples, theoretical distributions, linking samples and populations, testing significance, and exploring spatial relationships all within practical, real-world application contexts. Prerequisite: GEOG 100 or 111. Quantitative.

Section Instructor Day/Time Location
D100 Peter Keller
Tu 2:30 PM – 4:20 PM
WMC 2202, Burnaby
D101 Tu 4:30 PM – 6:20 PM
AQ 2111, Burnaby
D102 Th 8:30 AM – 10:20 AM
AQ 2111, Burnaby
D103 Th 10:30 AM – 12:20 PM
AQ 2111, Burnaby
STAT 270 - Introduction to Probability and Statistics (3)

Basic laws of probability, sample distributions. Introduction to statistical inference and applications. Prerequisite: or Corequisite: MATH 152 or 155 or 158, with a minimum grade of C-. Students wishing an intuitive appreciation of a broad range of statistical strategies may wish to take STAT 100 first. Quantitative.

Section Instructor Day/Time Location
D100 Derek Bingham
Mo, We, Fr 9:30 AM – 10:20 AM
AQ 3182, Burnaby
D900 Wei Lin
Tu 8:30 AM – 10:20 AM
Fr 8:30 AM – 9:20 AM
SRYC 3090, Surrey
SRYC 3090, Surrey
OL01 Tim Swartz
TBD
OP01 TBD
OP09 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 Mahsa Faizrahnemoon
Mo, Tu, We, Fr 8:30 AM – 9:20 AM
AQ 3182, Burnaby
D200 Natalia Kouzniak
Mo, We, Fr 11:30 AM – 12:20 PM
SRYC 3170, Surrey
OP01 TBD
OP02 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 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 Luis Goddyn
Mo, We, Fr 8:30 AM – 9:20 AM
SSCB 9200, Burnaby
OP01 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
SSCB 9201, Burnaby
D200 Mo, We, Fr 12:30 PM – 1:20 PM
SRYC 3090, Surrey
OP01 TBD
OP02 TBD

and one of

MATH 152 - Calculus II (3)

Riemann sum, Fundamental Theorem of Calculus, definite, indefinite and improper integrals, approximate integration, integration techniques, applications of integration. First-order separable differential equations and growth models. Sequences and series, series tests, power series, convergence and applications of power series. Prerequisite: MATH 150 or 151, with a minimum grade of C-; or MATH 154 or 157 with a grade of at least B. Students with credit for MATH 155 or 158 may not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Nils Bruin
Mo, We, Fr 8:30 AM – 9:20 AM
SSCC 9001, Burnaby
D200 Randall Pyke
Mo, We, Fr 11:30 AM – 12:20 PM
SRYC 5280, Surrey
D400 Mo, We, Fr 8:30 AM – 9:20 AM
AQ 5030, Burnaby
OP01 TBD
OP02 TBD
OP03 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, with a minimum grade of C-; or MATH 157 with a grade of at least B. Students with credit for MATH 152 or 158 may not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Jamie Mulholland
Mo, We, Fr 8:30 AM – 9:20 AM
RCB IMAGTH, Burnaby
D200 JF Williams
Mo, We, Fr 9:30 AM – 10:20 AM
SRYC 5280, Surrey
OP01 TBD
OP02 TBD
MATH 158 - Calculus II for the Social Sciences (3)

Designed for students specializing in business or the social sciences. Topics include: theory of integration, integration techniques, applications of integration; functions of several variables with emphasis on double and triple integrals and their applications; introduction to differential equations with emphasis on some special first-order equations and their applications; sequences and series. Prerequisite: MATH 150 or 151 or 154 or 157, with a minimum grade of C-. Students with credit for MATH 152 or 155 may not take MATH 158 for further credit. Quantitative.

Section Instructor Day/Time Location
E100 Razvan Fetecau
Mo 4:30 PM – 5:20 PM
We 4:30 PM – 6:20 PM
SWH 10081, Burnaby
SSCC 9001, Burnaby
OP01 TBD

and one of

MATH 232 - Applied Linear Algebra (3)

Linear equations, matrices, determinants. Introduction to vector spaces and linear transformations and bases. Complex numbers. Eigenvalues and eigenvectors; diagonalization. Inner products and orthogonality; least squares problems. An emphasis on applications involving matrix and vector calculations. Prerequisite: MATH 150 or 151 or MACM 101, with a minimum grade of C-; or MATH 154 or 157, both with a grade of at least B. Students with credit for MATH 240 may not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Brenda Davison
Mo, We, Fr 11:30 AM – 12:20 PM
SSCC 9001, Burnaby
D200 Randall Pyke
Mo, We, Fr 9:30 AM – 10:20 AM
,
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, with a minimum grade of C-; or MATH 154 or 157, both with a grade of at least B. Students with credit for MATH 232 cannot take this course for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Jake Levinson
Mo, We, Fr 11:30 AM – 12:20 PM
AQ 3149, Burnaby
OL01 TBD

† with a grade of B+ or better and permission of the School of Computing Science

Upper Division Requirements

Students complete a total of 45 upper division units including all of

CMPT 307 - Data Structures and Algorithms (3)

Design and analysis of efficient data structures and algorithms. General techniques for building and analyzing algorithms (greedy, divide & conquer, dynamic programming, network flows). Introduction to NP-completeness. Prerequisite: CMPT 225, MACM 201, (MATH 150 or MATH 151), and (MATH 232 or MATH 240), all with a minimum grade of C-. MATH 154 or MATH 157 with a grade of at least B+ may be substituted for MATH 150 or MATH 151.

Section Instructor Day/Time Location
D100 Brad Bart
We 11:30 AM – 12:20 PM
Fr 10:30 AM – 12:20 PM
RCB IMAGTH, Burnaby
RCB IMAGTH, Burnaby
D200 Brad Bart
We 3:30 PM – 4:20 PM
Fr 2:30 PM – 4:20 PM
SSCK 9500, Burnaby
SSCC 9001, Burnaby
CMPT 354 - Database Systems I (3)

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

Section Instructor Day/Time Location
D100 Jiannan Wang
Mo 10:30 AM – 12:20 PM
We 10:30 AM – 11:20 AM
SWH 10041, Burnaby
EDB 7618, Burnaby
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, all with a minimum grade of C-.

Section Instructor Day/Time Location
D100 Yagiz Aksoy
Manolis Savva
Mo 2:30 PM – 3:20 PM
Th 2:30 PM – 4:20 PM
SSCK 9500, Burnaby
SSCB 9201, Burnaby

and one of

CMPT 300 - Operating Systems I (3)

This course aims to give the student an understanding of what a modern operating system is, and the services it provides. It also discusses some basic issues in operating systems and provides solutions. Topics include multiprogramming, process management, memory management, and file systems. Prerequisite: CMPT 225 and (CMPT 295 or ENSC 254), all with a minimum grade of C-.

Section Instructor Day/Time Location
D100 Hazra Imran
Tu 8:30 AM – 10:20 AM
Fr 8:30 AM – 9:20 AM
SWH 10081, Burnaby
SSCK 9500, Burnaby
E100 Harinder Khangura
We 4:30 PM – 5:20 PM
Fr 4:30 PM – 6:20 PM
SRYE 1002, Surrey
SRYE 1002, Surrey
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 with a minimum grade of C-.

Section Instructor Day/Time Location
D100 Victor Cheung
Mo 10:30 AM – 11:20 AM
Th 10:30 AM – 12:20 PM
SRYE 3016, Surrey
SRYE 3016, Surrey
D200 Paul Hibbitts
Tu 2:30 PM – 4:20 PM
Fr 2:30 PM – 3:20 PM
REMOTE LEARNING, Burnaby
REMOTE LEARNING, 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 and (MATH 151 or MATH 150), with a minimum grade of C-. MATH 154 or MATH 157 with a grade of at least B+ may be substituted for MATH 151 (MATH 150).

Section Instructor Day/Time Location
D100 Janice Regan
Mo, We, Fr 12:30 PM – 1:20 PM
SWH 10041, Burnaby
CMPT 384 - Symbolic Computing (3)

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

and three of

GEOG 351 - Multimedia Cartography (4)

Elements of cartographic analysis, design and visualization, with an emphasis on digital mapping, animation techniques, cartographic software and internet mapping. Prerequisite: GEOG 255. Quantitative.

GEOG 352 - Spatial Analysis (4)

Advanced quantitative techniques for spatial analysis of geographic data and patterns. Topics include geostatistics, spatial interpolation, autocorrelation, kriging, and their use in geographic problem solving with spatial analysis software. Prerequisite: GEOG 251 or one of STAT 201, 203 (formerly 103), 205, or 270. Quantitative.

Section Instructor Day/Time Location
D100 Sessional
Tu 8:30 AM – 10:20 AM
REMOTE LEARNING, Burnaby
D101 Tu 10:30 AM – 12:20 PM
REMOTE LEARNING, Burnaby
D102 Tu 12:30 PM – 2:20 PM
REMOTE LEARNING, Burnaby
D103 Tu 2:30 PM – 4:20 PM
REMOTE LEARNING, Burnaby
GEOG 353 - Advanced Remote Sensing (4)

Advanced remote sensing principles and data processing techniques, including image correction and enhancement, advanced image analysis and information extraction, land cover classification and change detection, and integration of remote sensing and GIS. Prerequisite: GEOG 253. Quantitative.

Section Instructor Day/Time Location
D100 Bing Lu
Th 2:30 PM – 4:20 PM
AQ 3154, Burnaby
D101 We 2:30 PM – 4:20 PM
AQ 2111, Burnaby
D102 We 4:30 PM – 6:20 PM
AQ 2111, Burnaby
D103 Th 12:30 PM – 2:20 PM
AQ 2111, Burnaby
GEOG 355 - Geographical Information Science II (4)

An examination of technical components of GIS. Topics include spatial representations, generalization and data management; computational algebra and set theory; digital surfaces and terrain models. Prerequisite: GEOG 255. Quantitative.

GEOG 356 - 3D GIScience (4)

Introduction to 3D spatial data, 3D analysis, and 3D visualization for spatial problems. Students will gain skills in 3D aspects of GIScience concepts; data generation and use; analysis and simulation; visualization and its use for interpretation and communication. Prerequisite: GEOG 255.

Section Instructor Day/Time Location
D100 Nicholas Hedley
Mo 10:30 AM – 12:20 PM
WMC 3210, Burnaby
D101 Mo 12:30 PM – 2:20 PM
AQ 2109, Burnaby
D102 We 8:30 AM – 10:20 AM
AQ 2109, Burnaby
D103 We 10:30 AM – 12:20 PM
AQ 2109, Burnaby

and two of

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 with a minimum grade of C-, and nine units in Computing upper division courses or permission of the instructor.

CMPT 419 - Special Topics in Artificial Intelligence (3)

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

Section Instructor Day/Time Location
D100 Ke Li
Tu 2:30 PM – 4:20 PM
Fr 2:30 PM – 3:20 PM
AQ 3181, Burnaby
RCB IMAGTH, Burnaby
D200 Angelica Lim
Mo 2:30 PM – 4:20 PM
We 2:30 PM – 3:20 PM
,
,
CMPT 454 - Database Systems II (3)

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

Section Instructor Day/Time Location
D100 Ke Wang
Mo 12:30 PM – 2:20 PM
We 12:30 PM – 1:20 PM
SSCK 9500, Burnaby
SSCK 9500, Burnaby
CMPT 461 - Computational Photography and Image Manipulation (3)

Computational Photography is concerned with overcoming the limitations of traditional photography with computation: in optics, sensors, and geometry; and even in composition, style, and human interfaces. The course covers computational techniques to improve the way we process, manipulate, and interact with visual media. The covered topics include image-based lighting and rendering, camera geometry and optics, computational apertures, advanced image filtering operations, high-dynamic range, image blending, texture synthesis and inpainting. Prerequisite: CMPT 361, MACM 201 and 316, all with a minimum grade of C-. Students with credit for CMPT 451 may not take this course for further credit.

Section Instructor Day/Time Location
D100 Yagiz Aksoy
Mo 10:30 AM – 11:20 AM
Th 10:30 AM – 12:20 PM
AQ 3154, Burnaby
AQ 3153, Burnaby
CMPT 470 - Web-based Information Systems (3)

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

and two of

GEOG 451 - Spatial Modeling (4)

Spatial models for the representation and simulation of physical, human and environmental processes. GIS and spatial analysis software are used in the laboratory for model development, from problem definition and solution to visualization. Prerequisite: GEOG 251 or one of STAT 201, 203 (formerly 103), 205, or 270; one of GEOG 351, 352, 353, 355 or 356. Quantitative.

GEOG 453 - Theoretical and Applied Remote Sensing (4)

Examination of advanced topics in remote sensing, including calibration /validation, spatial scale, data fusion, and the role of remote sensing in a spatial world. Students will work on independent projects applying remote sensing in their area of interest. Prerequisite: GEOG 353. Recommended: One of GEOG 351, 352, 355 or 356. Students with credit for GEOG 453W may not repeat this course for further credit. Quantitative.

GEOG 455 - Theoretical and Applied GIS (4)

A critical examination of advanced topics in GIS, such as: boundary definition, expert systems and artificial intelligence, error and uncertainty, and scale in a digital context. Examines social applications and the roles of GIS in society. Students will design original projects, including data acquisition, analysis, and web site development. Prerequisite: GEOG 355. Students with credit for GEOG 452 or GEOG 455W may not take this course for further credit. Quantitative.

GEOG 457 - Geovisualization Interfaces (4)

The concepts, theories, and technology behind interactive and immersive interface technologies used for geospatial visualization. Applications and implications for GIScience and spatial knowledge acquisition. Combines GIScience, spatial cognition, and virtual environments/interface research perspectives. Prerequisite: GEOG 356. Students with credit for GEOG 457 (STT) Geospatial Virtual Environments in fall 2005 or fall 2006 may not take this course for further credit.

and four additional upper division units in physical or human geography. Students should consult with the program advisor when choosing these units

and three additional upper division units in CMPT or MACM courses.

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.