Please note:
To view the Spring 2020 Academic Calendar go to www.sfu.ca/students/calendar/2020/spring.html
Department of Geography  Faculty of Environment Simon Fraser University Calendar  Summer 2020
Geographic Information Science Major
The School of Computing Science and the Department of Geography offer a major leading to a bachelor of science degree.
Admission Requirements
Entry is via direct admission from high school, direct transfer from a recognized postsecondary 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 postsecondary) 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.
Prerequisite Grade Requirement
Computing Science course entry requires a grade of C or better in each prerequisite course. Computing Science courses available to students who do not maintain at least a 2.40 CGPA may be limited. Each term, these students must consult an advisor prior to enrollment. Geography course entry requires a pass in each prerequisite course.
Program Requirements
Lower Division Requirements
Students complete all of the following
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; objectoriented 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 
John Edgar 
Mo, We, Fr 9:30 AM – 10:20 AM 
SSCB 9201, Burnaby 
D101 
John Edgar 
We 10:30 AM – 11:20 AM 
ASB 9838, Burnaby 
D102 
John Edgar 
We 10:30 AM – 11:20 AM 
ASB 9838, Burnaby 
D103 
John Edgar 
We 11:30 AM – 12:20 PM 
ASB 9838, Burnaby 
D104 
John Edgar 
We 11:30 AM – 12:20 PM 
ASB 9838, Burnaby 
D105 
John Edgar 
We 12:30 PM – 1:20 PM 
ASB 9838, Burnaby 
D106 
John Edgar 
We 12:30 PM – 1:20 PM 
ASB 9838, Burnaby 
D107 
John Edgar 
We 1:30 PM – 2:20 PM 
ASB 9838, Burnaby 
D108 
John Edgar 
We 1:30 PM – 2:20 PM 
ASB 9838, Burnaby 
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. BreadthHumanities/Social Sciences.
Section  Instructor  Day/Time  Location 

C100  Distance Education  
D100 
Jason Young 
We 2:30 PM – 5:20 PM 
WMC 3260, Burnaby 
An introduction to landforms, climates, soils and vegetation; their origins, distributions, interrelationships and roles in the ecosystem. Laboratory work and field trips are included. BreadthScience.
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/BreadthScience.
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 
Shivanand Balram 
Tu, Th 2:30 PM – 4:20 PM 
RCB 8100, Burnaby 
D101 
We, Fr 8:30 AM – 10:20 AM 
AQ 3148.2, Burnaby 

D102 
We, Fr 12:30 PM – 2:20 PM 
AQ 3148.2, Burnaby 

D103 
We, Fr 2:30 PM – 4:20 PM 
AQ 3148.1, Burnaby 
and either all of
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 highlevel 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 problemsolving 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/BreadthScience.
Section  Instructor  Day/Time  Location 

D100 
Hazra Imran 
Mo, We, Fr 3:30 PM – 4:20 PM 
SSCB 9200, Burnaby 
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 objectoriented 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 
Toby Donaldson 
Mo 12:30 PM – 1:20 PM We, Fr 12:30 PM – 1:20 PM 
EDB 7618, Burnaby AQ 3181, Burnaby 
Builds on CMPT 120 to give a handson 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
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/BreadthScience.
A second course in systemsoriented programming and computing science that builds upon the foundation set in CMPT 130 using a systemsoriented language such as C or C++. Topics: a review of the basic elements of programming; introduction to objectoriented 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 one of
An examination of the basic principles and processes governing the Earth's weather and climate. Topics include: radiation, greenhouse effect, clouds, precipitation, atmospheric circulation, midlatitude cyclones, tropical storms, climate change. Prerequisite: GEOG 111. Quantitative.
An introduction to the planetary biosphere, its living organisms, and their interactions with each other and the Earth system. Prerequisite: GEOG 111.
An introduction to key concepts and contexts in contemporary geographical approaches to social practices, meanings, and struggles. Prerequisite: GEOG 100. BreadthSocial Sciences.
and one of
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, realworld application contexts. Prerequisite: GEOG 100 or 111. Quantitative.
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 

C900 
Tim Swartz 
Distance Education  
D100 
Rachel Altman 
We 11:30 AM – 12:20 PM Fr 10:30 AM – 12:20 PM 
SSCB 9201, Burnaby AQ 3182, Burnaby 
OP01  TBD 
and one of
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: PreCalculus 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 
Justin Chan 
Mo, We, Fr 1:30 PM – 2:20 PM 
AQ 3003, Burnaby 
D101 
Tu 2:30 PM – 3:20 PM 
WMC 2202, Burnaby 

D102 
Tu 3:30 PM – 4:20 PM 
WMC 2202, Burnaby 

D103 
We 2:30 PM – 3:20 PM 
AQ 5009, Burnaby 

OP01  TBD 
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: PreCalculus 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.
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: PreCalculus 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.
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: PreCalculus 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 
Justin Chan 
Mo, We, Fr 11:30 AM – 12:20 PM 
SSCB 9200, Burnaby 
OP01  TBD 
and one of
Riemann sum, Fundamental Theorem of Calculus, definite, indefinite and improper integrals, approximate integration, integration techniques, applications of integration. Firstorder 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 
Ralf Wittenberg 
Mo, We, Fr 8:30 AM – 9:20 AM 
SSCB 9201, Burnaby 
OP01  TBD 
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 
Mahdieh Malekian 
Mo, We, Fr 8:30 AM – 9:20 AM 
AQ 3182, Burnaby 
OPO1  TBD 
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 firstorder 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
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 

D200 
Randall Pyke 
Mo, We, Fr 2:30 PM – 3:20 PM 
SRYC 2600, Surrey 
OP01  TBD 
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 
Manfred Trummer 
Mo, We, Fr 11:30 AM – 12:20 PM 
SWH 10041, Burnaby 
D101 
Th 9:30 AM – 10:20 AM 
WMC 2522, Burnaby 

D102 
Th 2:30 PM – 3:20 PM 
WMC 3535, Burnaby 

D103 
Th 3:30 PM – 4:20 PM 
WMC 3535, Burnaby 
† 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
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 
Thomas Shermer 
Mo, We, Fr 2:30 PM – 3:20 PM 
SSCB 9201, Burnaby 
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 
Bobby Chan 
Tu 10:30 AM – 11:20 AM Th 9:30 AM – 11:20 AM 
EDB 7618, Burnaby AQ 3182, Burnaby 
This course provides an introduction to the fundamentals of computer graphics. Topics include graphics display and interaction hardware, basic algorithms for 2D primitives, antialiasing, 2D and 3D geometrical transformations, 3D projections/viewing, Polygonal and hierarchical models, hiddensurface removal, basic rendering techniques (color, shading, raytracing, radiosity), and interaction techniques. Prerequisite: CMPT 225 and MATH 232 or 240.
and one of
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 
Harinder Khangura 
Tu 1:30 PM – 2:20 PM Th 12:30 PM – 2:20 PM 
AQ 3181, Burnaby SSCB 9201, Burnaby 
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 (widgetbased, mental model, graphic design, ergonomics, metaphor, constructivist/iterative approach, and visual languages) and their evaluation, existing tools and packages (dialogue models, eventbased systems, prototyping), future paradigms, and the social impact of UI. Prerequisite: CMPT 225.
Section  Instructor  Day/Time  Location 

E100 
Victor Cheung 
Tu 5:30 PM – 8:20 PM 
AQ 3154, Burnaby 
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 
Janice Regan 
Mo, We, Fr 12:30 PM – 1:20 PM 
AQ 3003, Burnaby 
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, grammarbased 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)).
and three of
Elements of cartographic analysis, design and visualization, with an emphasis on digital mapping, animation techniques, cartographic software and internet mapping. Prerequisite: GEOG 255. Quantitative.
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.
Advanced remote sensing principles and techniques, including physicsbased modeling, advanced classifiers, automated data processing, and integration of ancillary data products. Prerequisite: GEOG 253. Quantitative.
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.
3D geovisualization methods, concepts and theory. Bridges conventional geographic visualization with emerging 3D methods. Emphasizes usercentered design and cognitive implications. Prerequisite: GEOG 255.
and two of
Mathematical preliminaries; convex hull algorithms; intersection problems; closestpoint problems and their applications. Prerequisite: CMPT 307.
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, threedimensional object representation and constraint satisfaction. Prerequisite: MATH 152, and nine units in Computing upper division courses or permission of the instructor.
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 objectoriented 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 
John Edgar 
Mo, We, Fr 1:30 PM – 2:20 PM 
EDB 7618, Burnaby 
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.
This course examines: twotier/multitier client/server architectures; the architecture of a Webbased 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 ecommerce and online learning). Prerequisite: (CMPT 275 or CMPT 276) and CMPT 354.
Section  Instructor  Day/Time  Location 

E100 
Gregory Baker 
We 5:30 PM – 8:20 PM 
WMC 3260, Burnaby 
and two of
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.
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.
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.
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 universitywide 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: BSoc 6 units Humanities: BHum 6 units Sciences: BSci 
6 
Additional Breadth  6 units outside the student’s major subject (may or may not be Bdesignated 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.