Please note:

To view the Fall 2017 Academic Calendar go to http://www.sfu.ca/students/calendar/2017/fall.html

Department of Geography
School of Computing Science
Simon Fraser University Calendar | Spring 2018

Geographic Information Science Honours

Bachelor of Science

The School of Computing Science and the Department of Geography offer an honours program leading to a bachelor of science (BSc) degree.

Admission Requirements

Entry is via direct admission from high school, direct transfer from a recognized post-secondary institution, or internal transfer from within Simon Fraser University. Admission is competitive. A separate admission average for each entry route is established each term depending on available spaces and subject to the approval of the dean of applied sciences.

Admission averages and calculations for direct program admission (from high school or post-secondary) are the same as the major program. Internal transfers are assessed on the lower division requirements grade point average (see below). Only Simon Fraser University courses are used in GPA calculation. Grades from all course attempts (including repeats) are used equally to calculate the average.

Apply anytime after at least 18 Simon Fraser University lower division units (100 or 200 division courses) are completed, and all 100 division requirements (completed at either Simon Fraser University or a BC community college) have been satisfied.

Admission, continuation and graduation are contingent upon maintaining 3.00 or better on all relevant grade point averages (cumulative GPA, upper division GPA, computing science GPA, computing science upper division GPA, geography GPA, geography upper division GPA).

Program Requirements

Lower Division Requirements

Students complete a total of 51-55 lower division units including all of

CMPT 225 - Data Structures and Programming (3)

Introduction to a variety of practical and important data structures and methods for implementation and for experimental and analytical evaluation. Topics include: stacks, queues and lists; search trees; hash tables and algorithms; efficient sorting; object-oriented programming; time and space efficiency analysis; and experimental evaluation. Prerequisite: (MACM 101 and ((CMPT 125 and 127), CMPT 129 or CMPT 135)) or (ENSC 251 and ENSC 252). Quantitative.

Section Instructor Day/Time Location
D100 David Mitchell
Mo 1:30 PM – 2:20 PM
We 1:30 PM – 2:20 PM
Fr 1:30 PM – 2:20 PM
DFA 300, Burnaby
SSCB 9201, Burnaby
SSCB 9201, Burnaby
D101 David Mitchell
Mo 10:30 AM – 11:20 AM
ASB 9838, Burnaby
D102 David Mitchell
Mo 10:30 AM – 11:20 AM
ASB 9838, Burnaby
D103 David Mitchell
Mo 11:30 AM – 12:20 PM
ASB 9838, Burnaby
D104 David Mitchell
Mo 11:30 AM – 12:20 PM
ASB 9838, Burnaby
D105 David Mitchell
Fr 2:30 PM – 3:20 PM
ASB 9838, Burnaby
D106 David Mitchell
Fr 2:30 PM – 3:20 PM
ASB 9838, Burnaby
D107 David Mitchell
Fr 3:30 PM – 4:20 PM
ASB 9838, Burnaby
D108 David Mitchell
Fr 3:30 PM – 4:20 PM
ASB 9838, Burnaby
E100 Leonid Chindelevitch
Tu 5:30 PM – 8:20 PM
HCC 1900, Vancouver
CMPT 276 - Introduction to Software Engineering (3)

An overview of various techniques used for software development and software project management. Major tasks and phases in modern software development, including requirements, analysis, documentation, design, implementation, testing,and maintenance. Project management issues are also introduced. Students complete a team project using an iterative development process. Prerequisite: One W course, CMPT 225, (MACM 101 or (ENSC 251 and ENSC 252)) and (MATH 151 or MATH 150). MATH 154 or MATH 157 with at least a B+ may be substituted for MATH 151 or MATH 150. Students with credit for CMPT 275 may not take this course for further credit.

Section Instructor Day/Time Location
D200 Brian Fraser
Mo, We, Fr 10:30 AM – 11:20 AM
SUR 5140, Surrey
E100 Steve Pearce
Th 5:30 PM – 8:20 PM
WMC 3260, Burnaby
CMPT 295 - Introduction to Computer Systems (3)

The curriculum introduces students to topics in computer architecture that are considered fundamental to an understanding of the digital systems underpinnings of computer systems. Prerequisite: Either (MACM 101 and ((CMPT 125 and CMPT 127) or CMPT 135)) or (MATH 151 and CMPT 102 for students in an Applied Physics program). Students with credits for CMPT 150 or 250 may not take this course for further credit.

Section Instructor Day/Time Location
D100 Brad Bart
Mo 3:30 PM – 4:20 PM
We 3:30 PM – 4:20 PM
Fr 3:30 PM – 4:20 PM
AQ 3182, Burnaby
AQ 3181, Burnaby
AQ 3181, Burnaby
D101 Brad Bart
We 10:30 AM – 11:20 AM
ASB 9838, Burnaby
D102 Brad Bart
We 10:30 AM – 11:20 AM
ASB 9838, Burnaby
D103 Brad Bart
We 11:30 AM – 12:20 PM
ASB 9838, Burnaby
D104 Brad Bart
We 12:30 PM – 1:20 PM
ASB 9838, Burnaby
D105 Brad Bart
We 1:30 PM – 2:20 PM
ASB 9838, Burnaby
D106 Brad Bart
We 2:30 PM – 3:20 PM
ASB 9838, Burnaby
D108 Brad Bart
We 2:30 PM – 3:20 PM
ASB 9838, 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-Social Sciences.

Section Instructor Day/Time Location
D100 Nicholas Blomley
Mo 10:30 AM – 12:20 PM
We 10:30 AM – 11:20 AM
RCB IMAGTH, Burnaby
SWH 10081, Burnaby
D200 Gretchen Ferguson
We 2:30 PM – 5:20 PM
SUR 5240, Surrey
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
Tu 12:30 PM – 2:20 PM
RCB IMAGTH, Burnaby
D101
Fr 8:30 AM – 10:20 AM
RCB 7108, Burnaby
D102
Tu 2:30 PM – 4:20 PM
RCB 7110, Burnaby
D103
Tu 2:30 PM – 4:20 PM
RCB 7108, Burnaby
D104
Tu 4:30 PM – 6:20 PM
RCB 7108, Burnaby
D105
Tu 4:30 PM – 6:20 PM
RCB 7110, Burnaby
D106
We 8:30 AM – 10:20 AM
RCB 7108, Burnaby
D107
We 10:30 AM – 12:20 PM
RCB 7108, Burnaby
D108
We 12:30 PM – 2:20 PM
RCB 7110, Burnaby
D109
We 2:30 PM – 4:20 PM
RCB 7110, Burnaby
D110
We 4:30 PM – 6:20 PM
RCB 7110, Burnaby
D111
Th 8:30 AM – 10:20 AM
RCB 7110, Burnaby
D112
Th 10:30 AM – 12:20 PM
RCB 7110, Burnaby
D113
Th 12:30 PM – 2:20 PM
RCB 7110, Burnaby
D114
Th 2:30 PM – 4:20 PM
RCB 7108, Burnaby
D115
Th 4:30 PM – 6:20 PM
RCB 7108, Burnaby
D116
Fr 2:30 PM – 4:20 PM
RCB 7108, Burnaby
GEOG 253 - Introduction to Remote Sensing (3)

An introduction to the theory and practice of remote sensing, including the relevant physical processes, digital image processing and information extraction, and a review of remote sensing applications. Prerequisite: GEOG 111. Quantitative/Breadth-Science.

Section Instructor Day/Time Location
D100 Andres Varhola
Fr 12:30 PM – 2:20 PM
AQ 3003, Burnaby
D101
We 10:30 AM – 12:20 PM
AQ 2109, Burnaby
D102
We 12:30 PM – 2:20 PM
AQ 2109, Burnaby
D103
Fr 10:30 AM – 12:20 PM
AQ 2109, 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 Taylor Anderson
Tu 4:30 PM – 6:20 PM
SSCC 9000, Burnaby
D101
We 2:30 PM – 4:20 PM
AQ 2111, Burnaby
D102
We 8:30 AM – 10:20 AM
AQ 2111, Burnaby
D103
We 10:30 AM – 12:20 PM
AQ 2111, Burnaby
MACM 101 - Discrete Mathematics I (3)

Introduction to counting, induction, automata theory, formal reasoning, modular arithmetic. Prerequisite: BC Math 12 (or equivalent), or any of MATH 100, 150, 151, 154, 157. Quantitative/Breadth-Science.

Section Instructor Day/Time Location
D100 Binay Bhattacharya
Mo, Fr 10:30 AM – 11:20 AM
We 10:30 AM – 11:20 AM
SWH 10081, Burnaby
SSCB 9201, Burnaby
D101 Binay Bhattacharya
Tu 9:30 AM – 10:20 AM
AQ 5008, Burnaby
D102 Binay Bhattacharya
Tu 9:30 AM – 10:20 AM
RCB 5125, Burnaby
D103 Binay Bhattacharya
Tu 2:30 PM – 3:20 PM
AQ 5035, Burnaby
D104 Binay Bhattacharya
Tu 2:30 PM – 3:20 PM
AQ 5047, Burnaby
D105 Binay Bhattacharya
Tu 3:30 PM – 4:20 PM
AQ 5014, Burnaby
D106 Binay Bhattacharya
Tu 3:30 PM – 4:20 PM
AQ 5035, Burnaby
D107 Binay Bhattacharya
Tu 4:30 PM – 5:20 PM
AQ 5020, Burnaby
D108 Binay Bhattacharya
Tu 4:30 PM – 5:20 PM
AQ 5039, Burnaby
D200 Steve Pearce
Tu 1:30 PM – 2:20 PM
Th 12:30 PM – 2:20 PM
SWH 10081, Burnaby
SSCB 9201, Burnaby
D201 Steve Pearce
We 9:30 AM – 10:20 AM
AQ 2104, Burnaby
D202 Steve Pearce
We 9:30 AM – 10:20 AM
BLU 11901, Burnaby
D203 Steve Pearce
We 2:30 PM – 3:20 PM
BLU 11911, Burnaby
D204 Steve Pearce
We 2:30 PM – 3:20 PM
WMC 2260, Burnaby
D205 Steve Pearce
We 3:30 PM – 4:20 PM
WMC 2268, Burnaby
D206 Steve Pearce
We 3:30 PM – 4:20 PM
BLU 11911, Burnaby
D207 Steve Pearce
We 4:30 PM – 5:20 PM
BLU 11911, Burnaby
D208 Steve Pearce
We 4:30 PM – 5:20 PM
WMC 2268, Burnaby
D300 Toby Donaldson
Mo, We, Fr 11:30 AM – 12:20 PM
SUR 3310, Surrey
D301 Toby Donaldson
Mo 12:30 PM – 1:20 PM
SUR 3120, Surrey
D302 Toby Donaldson
Mo 1:30 PM – 2:20 PM
SUR 3120, Surrey
D303 Toby Donaldson
Mo 2:30 PM – 3:20 PM
SUR 3120, Surrey
D304 Toby Donaldson
Mo 3:30 PM – 4:20 PM
SUR 3120, Surrey
MACM 201 - Discrete Mathematics II (3)

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

Section Instructor Day/Time Location
D100 Bojan Mohar
Mo 12:30 PM – 1:20 PM
We, Fr 12:30 PM – 1:20 PM
DFA 300, Burnaby
DFA 300, Burnaby
D200 Mahsa Faizrahnemoon
Mo, We, Fr 8:30 AM – 9:20 AM
SUR 5280, Surrey
OPO1
TBD
OP02
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 Angelica Lim
Mo, Fr 9:30 AM – 10:20 AM
We 9:30 AM – 10:20 AM
AQ 3181, Burnaby
AQ 3182, Burnaby
D101 Angelica Lim
Th 9:30 AM – 10:20 AM
ASB 9838, Burnaby
D102 Angelica Lim
Th 10:30 AM – 11:20 AM
ASB 9838, Burnaby
D103 Angelica Lim
Th 11:30 AM – 12:20 PM
ASB 9838, Burnaby
D104 Angelica Lim
Th 12:30 PM – 1:20 PM
ASB 9838, Burnaby
D105 Angelica Lim
Th 1:30 PM – 2:20 PM
ASB 9838, Burnaby
D106 Angelica Lim
Th 2:30 PM – 3:20 PM
ASB 9838, Burnaby
D107 Angelica Lim
Th 3:30 PM – 4:20 PM
ASB 9838, Burnaby
D108 Angelica Lim
Th 3:30 PM – 4:20 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 2:30 PM – 3:20 PM
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 Richard Vaughan
Tu 9:30 AM – 12:20 PM
ASB 9838, Burnaby
D200 Richard Vaughan
Tu 12:30 PM – 3:20 PM
ASB 9838, Burnaby
D300 Richard Vaughan
Tu 3:30 PM – 6:20 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.

Section Instructor Day/Time Location
D100 John Edgar
We 1:30 PM – 2:20 PM
Fr 12:30 PM – 2:20 PM
SUR 3310, Surrey
SUR 3310, Surrey
D101 John Edgar
We 2:30 PM – 3:20 PM
SUR 4080, Surrey
D102 John Edgar
We 3:30 PM – 4:20 PM
SUR 4080, Surrey
D103 John Edgar
We 4:30 PM – 5:20 PM
SUR 4080, Surrey
D104 John Edgar
We 12:30 PM – 1:20 PM
SUR 4080, Surrey

and one of

GEOG 213 - Introduction to Geomorphology (3)

An examination of landforms, processes, laws, and theories of development; types and distributions. Prerequisite: GEOG 111 or EASC 101. Quantitative/Breadth-Science.

Section Instructor Day/Time Location
D100 Christina Neudorf
Tu 10:30 AM – 12:20 PM
SECB 1013, Burnaby
D101
Th 2:30 PM – 4:20 PM
RCB 7110, Burnaby
D102
Th 4:30 PM – 6:20 PM
RCB 7110, Burnaby
D103
Tu 12:30 PM – 2:20 PM
RCB 7108, 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 Kirsten Zickfeld
Tu 2:30 PM – 4:20 PM
AQ 5037, Burnaby
D101
Tu 4:30 PM – 6:20 PM
AQ 2111, Burnaby
D102
Th 10:30 AM – 12:20 PM
AQ 2109, Burnaby
D103
Th 12:30 PM – 2:20 PM
AQ 2109, Burnaby
GEOG 215 - Biogeography (3)

An examination of the abiotic and biotic factors that control the distribution and development of plant communities, including climatic and geological change. Prerequisite: GEOG 111. Students with credit for BISC 204 may not take this course for further credit.

Section Instructor Day/Time Location
D100 Sarah Thomsen
Mo 12:30 PM – 2:20 PM
WMC 2202, Burnaby
D101
Mo 2:30 PM – 4:20 PM
RCB 7108, Burnaby
D102
Tu 8:30 AM – 10:20 AM
RCB 7108, Burnaby
D103
Tu 10:30 AM – 12:20 PM
RCB 7108, Burnaby

and one of

GEOG 221 - Economic Geography (3)

The basic concepts of economic geography, involving consideration of the spatial organization and development of economic and resource based systems. Prerequisite: GEOG 100. Breadth-Social Sciences.

Section Instructor Day/Time Location
D100 Rosemary-Claire Collard
Mo 10:30 AM – 12:20 PM
SECB 1014, Burnaby
D101
Mo 12:30 PM – 1:20 PM
AQ 5036, Burnaby
D102
We 12:30 PM – 1:20 PM
AQ 5050, Burnaby
D103
We 1:30 PM – 2:20 PM
AQ 5027, Burnaby
GEOG 241 - Social Geography (3)

Systematic consideration of the spatial and environmental bases of societies, in historical and cultural perspective. Prerequisite: GEOG 100. Breadth-Social Sciences.

Section Instructor Day/Time Location
D100 Jason Young
Th 12:30 PM – 2:20 PM
AQ 5018, Burnaby
D101
Th 2:30 PM – 3:20 PM
AQ 5025, Burnaby
D102
Th 3:30 PM – 4:20 PM
AQ 5025, Burnaby
D103
Fr 1:30 PM – 2:20 PM
AQ 5050, Burnaby
GEOG 261 - Introduction to Urban Geography (3)

This course will introduce basic concepts in the study of urban geography by systematically identifying and examining major components of urban structure. Prerequisite: GEOG 100 or 102 or 30 units. 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 Shivanand Balram
Th 2:30 PM – 4:20 PM
SECB 1012, Burnaby
D101
Fr 8:30 AM – 10:20 AM
AQ 2109, Burnaby
D102
Fr 12:30 PM – 2:20 PM
AQ 2109, Burnaby
D103
Fr 2:30 PM – 4:20 PM
AQ 2109, 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 Boxin Tang
Mo 9:30 AM – 10:20 AM
We, Fr 9:30 AM – 10:20 AM
EDB 7618, Burnaby
SWH 10081, Burnaby
D900 Maryam DehghaniEstarki
Tu 8:30 AM – 10:20 AM
Th 8:30 AM – 9:20 AM
SUR 3170, Surrey
SUR 3170, Surrey
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
C100 Distance Education
D100
Mo, Tu, We, Fr 8:30 AM – 9:20 AM
WMC 3520, Burnaby
D200 Justine Gauthier
Mo, We, Fr 11:30 AM – 12:20 PM
We 1:30 PM – 2:20 PM
SUR 2750, Surrey
SUR 2750, 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 Ladislav Stacho
Mo 8:30 AM – 9:20 AM
We, Fr 8:30 AM – 9:20 AM
SSCB 9200, Burnaby
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; functions of several variables. 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 Luis Goddyn
Mo, Fr 11:30 AM – 12:20 PM
We 11:30 AM – 12:20 PM
SWH 10081, Burnaby
DFA 300, Burnaby
D200 Natalia Kouzniak
Mo, We, Fr 12:30 PM – 1:20 PM
SUR 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; 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 Brenda Davison
Mo, We, Fr 8:30 AM – 9:20 AM
SSCC 9001, Burnaby
D200
Mo, We, Fr 11:30 AM – 12:20 PM
SUR 5280, Surrey
D300 Jamie Mulholland
Mo, We, Fr 8:30 AM – 9:20 AM
WMC 2810, Burnaby
OP01
TBD
OP02
TBD
MATH 155 - Calculus II for the Biological Sciences (3)

Designed for students specializing in the biological and medical sciences. Topics include: the integral, partial derivatives, differential equations, linear systems, and their applications; mathematical models of biological processes. Prerequisite: MATH 150, 151 or 154; or MATH 157 with a grade of at least B. Students with credit for MATH 152 or 158 may not take this course for further credit. Quantitative.

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

Theory of integration and its applications; introduction to multivariable calculus with emphasis on partial derivatives and their applications; introduction to differential equations with emphasis on some special first-order equations and their applications to economics and social sciences; continuous probability models; 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.

Section Instructor Day/Time Location
E100 Michael Monagan
Mo 4:30 PM – 5:20 PM
We 4:30 PM – 6:20 PM
SSCC 9001, 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; 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 Cedric Chauve
Mo, We, Fr 11:30 AM – 12:20 PM
SSCC 9001, Burnaby
D200 Randall Pyke
Mo, We, Fr 2:30 PM – 3:20 PM
SUR 3090, Surrey
OP01
TBD
OP02
TBD
MATH 240 - Algebra I: Linear Algebra (3)

Linear equations, matrices, determinants. Real and abstract vector spaces, subspaces and linear transformations; basis and change of basis. Complex numbers. Eigenvalues and eigenvectors; diagonalization. Inner products and orthogonality; least squares problems. Applications. Subject is presented with an abstract emphasis and includes proofs of the basic theorems. Prerequisite: MATH 150 or 151; or MACM 101; or MATH 154 or 157, both with a grade of at least B. Students with credit for MATH 232 cannot take this course for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Simone Brugiapaglia
Mo, We, Fr 11:30 AM – 12:20 PM
BLU 10921, Burnaby
OP01
TBD

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

Upper Division Requirements

Students complete a total of 55 upper division units including all 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 (MACM 101 or (ENSC 251 and ENSC 252)).

Section Instructor Day/Time Location
D100 Keval Vora
Tu 8:30 AM – 10:20 AM
Th 8:30 AM – 9:20 AM
SWH 10041, Burnaby
SSCC 9002, Burnaby
D200 Harinder Khangura
Mo, We, Fr 11:30 AM – 12:20 PM
SUR 5140, Surrey
E100
Tu, Th 5:30 PM – 6:50 PM
AQ 3003, 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 10:30 AM – 11:20 AM
We, Fr 10:30 AM – 11:20 AM
WMC 3260, Burnaby
AQ 3005, Burnaby
D300 Valentine Kabanets
Mo 2:30 PM – 3:20 PM
We 2:30 PM – 3:20 PM
Fr 2:30 PM – 3:20 PM
AQ 3159, Burnaby
SSCC 9002, Burnaby
SSCK 9500, 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 Martin Ester
Tu 2:30 PM – 4:20 PM
Th 2:30 PM – 3:20 PM
AQ 3159, Burnaby
WMC 3260, Burnaby
E100 Evgenia Ternovska
Th 5:30 PM – 8:20 PM
HCC 1800, Vancouver
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 Richard Zhang
Mo 3:30 PM – 4:20 PM
We 3:30 PM – 4:20 PM
Fr 3:30 PM – 4:20 PM
AQ 3159, Burnaby
AQ 3005, Burnaby
SWH 10041, Burnaby
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
E100 Ke Wang
We 5:30 PM – 8:20 PM
HCC 1900, Vancouver
GEOG 491 - Honours Essay (4)

All candidates for honours will be required to submit a major paper on a geographical topic to be selected in consultation with the department. Prerequisite: 105 units and consent of supervisor. See a departmental academic advisor for details.

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 Brenda Davison
Mo, We, Fr 12:30 PM – 1:20 PM
AQ 3182, Burnaby
D101
We 2:30 PM – 3:20 PM
AQ 5016, Burnaby
D102
We 3:30 PM – 4:20 PM
AQ 5016, Burnaby
D103
We 4:30 PM – 5:20 PM
AQ 5016, Burnaby
D104
Th 9:30 AM – 10:20 AM
AQ 5018, Burnaby
D105
Th 10:30 AM – 11:20 AM
AQ 5030, Burnaby
D106
Th 11:30 AM – 12:20 PM
RCB 6125, Burnaby
D107
We 5:30 PM – 6:20 PM
AQ 5016, Burnaby

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.

Section Instructor Day/Time Location
D100 Suzana Dragicevic
Th 10:30 AM – 12:20 PM
BLU 10011, Burnaby
D101
Fr 8:30 AM – 10:20 AM
AQ 2111, Burnaby
D102
Fr 10:30 AM – 12:20 PM
AQ 2111, Burnaby
D103
Fr 2:30 PM – 4:20 PM
AQ 2111, Burnaby
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 101, 201, 203 (formerly 103), or 270. Quantitative.

GEOG 353 - Advanced Remote Sensing (4)

Advanced remote sensing principles and techniques, including physics-based modeling, advanced classifiers, automated data processing, and integration of ancillary data products. Prerequisite: GEOG 253. Quantitative.

Section Instructor Day/Time Location
D100 Andres Varhola
Tu 2:30 PM – 4:20 PM
AQ 5018, Burnaby
D101
Tu 10:30 AM – 12:20 PM
AQ 2109, Burnaby
D102
Tu 12:30 PM – 2:20 PM
AQ 2109, 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 Geovisualization (4)

3D geovisualization methods, concepts and theory. Bridges conventional geographic visualization with emerging 3D methods. Emphasizes user-centered design and cognitive implications. Prerequisite: GEOG 255.

and three of

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
D100 Parmit Kaur Chilana
Tu 2:30 PM – 4:20 PM
Th 2:30 PM – 3:20 PM
BLU 10021, Burnaby
BLU 10021, 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
D100 Ryan Shea
Mo 10:30 AM – 12:20 PM
We 10:30 AM – 11:20 AM
AQ 3159, Burnaby
AQ 3159, Burnaby
D200 Balbir Gill
Mo, We, Fr 4:30 PM – 5:20 PM
BLU 9660, 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)).

Section Instructor Day/Time Location
D100 Rob Cameron
Mo, We, Fr 1:30 PM – 2:20 PM
BLU 9660, Burnaby
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 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 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
E100 Lisa Tang
Th 5:30 PM – 8:20 PM
HCC 1700, Vancouver

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 101, 201, 203 (formerly 103), 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 geography program advisor when choosing these units.

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.