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

Multimedia Computing Specialist Major

Bachelor of Science

Normal admission to the Multimedia Computing Specialist Major has been suspended effective September 1,2013. Students are still able to take the same classes, but no special certification will be available.

The school offers a specialist major program in multimedia computing leading to a bachelor of science (BSc) degree. Students must consult an advisor before commencing a specialist program, preferably early in their second year.

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.

Internal Transfer

Internal transfer allows students to transfer, within Simon Fraser University, from one faculty to another. Once you have completed our 3 qualifying courses (see below) you can apply for internal transfer into the School of Computing Science. Simon Fraser University students applying for School of Computing Science admission are selected on the basis of an admission Computing Related Grade Point Average. The CRGPA is calculated over the best three courses chosen as follows.

  • one mathematics course chosen from MACM 101, 201, MATH 150 (or 151), 152 and 240 (or 232)
  • one computing course chosen from CMPT 125 (or 126 or 128), 150, (or ENSC 150), 225, 250 and 275
  • one additional mathematics or computing science course chosen from the above lists

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

Continuation Requirements

Students who do not maintain at least a 2.40 CGPA, will be placed on the school’s probation. Courses available to probationary students may be limited. Each term, these students must consult an advisor prior to enrolment and must achieve either a term 2.40 term GPA or an improved CGPA. Reinstatement from probationary standing occurs when the CGPA improves to 2.40 or better and is maintained.

Graduation Requirements

A GPA of 2.00 must be obtained for upper division courses used to fulfill the program requirements.

Prerequisite Grade Requirement

Computing science course entry requires a grade of C- or better in each prerequisite course. A minimum 2.40 CGPA is required for 200, 300 and 400 division CMPT courses. For complete information, contact an Applied Sciences Advisor.

Program Requirements

Special Topics Courses

Relevant FPA and CMNS lower and upper division special topics courses may be applied to the following requirements with the approval of the director of undergraduate studies in the School of Computing Science.

Lower Division Requirements

Students complete all lower division requirements for the computing science major as shown below and some additional lower division requirements.

Students complete either

CMPT 126 - Introduction to Computing Science and Programming (3)

A rigorous introduction to computing science and computer programming, suitable for students who already have substantial programming background. Topics include: fundamental algorithms and problem solving; abstract data types and elementary data structures; basic object-oriented programming and software design; elements of empirical and theoretical algorithmics; computation and computability; specification and program correctness; and history of computing science. Prerequisite: CMPT 120. Students with credit for CMPT 125, 128, 130, 135 or higher may not take CMPT 126 for further credit. Quantitative/Breadth-Science.

or 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 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
D300 Mo, We, Fr 4:30 PM – 5:20 PM
AQ 3181, Burnaby
D400 Diana Cukierman
Mo, We, Fr 9:30 AM – 10:20 AM
RCB IMAGTH, Burnaby
D500 Harinder Khangura
Mo, We, Fr 8:30 AM – 9:20 AM
SRYE 1002, Surrey
D501 Mo 9:30 AM – 10:20 AM
SRYE 4024, Surrey
D502 Mo 10:30 AM – 11:20 AM
SRYE 4024, Surrey
D503 Mo 11:30 AM – 12:20 PM
SRYE 4024, Surrey
D504 Mo 12:30 PM – 1:20 PM
SRYE 4024, Surrey
D505 Mo 1:30 PM – 2:20 PM
SRYE 4024, Surrey
D506 Mo 2:30 PM – 3:20 PM
SRYE 4024, Surrey
D507 Mo 3:30 PM – 4:20 PM
SRYE 4024, Surrey
D508 Mo 4:30 PM – 5:20 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: 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 Igor Shinkar
Mo 2:30 PM – 4:20 PM
We 2:30 PM – 3:20 PM
AQ 3181, Burnaby
SSCC 9002, Burnaby

and all of

CMPT 150 - Introduction to Computer Design (3)

Digital design concepts are presented in such a way that students will learn how basic logic blocks of a simple computer are designed. Topics covered include: basic Von Neumann computer architecture; an introduction to assembly language programming; combinational logic design; and sequential logic design. Prerequisite: Strongly recommended: MACM 101 and either CMPT 120 or equivalent programming. Students with credit for ENSC 150 or CMPT 290 may not take this course for further credit. Quantitative.

CMPT 225 - Data Structures and Programming (3)

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

Section Instructor Day/Time Location
D100 David Mitchell
Mo, Fr 10:30 AM – 11:20 AM
We 10:30 AM – 11:20 AM
AQ 3182, Burnaby
SSCB 9201, Burnaby
D101 Fr 11:30 AM – 12:20 PM
ASB 9838, Burnaby
D102 Fr 11:30 AM – 12:20 PM
ASB 9838, Burnaby
D103 Fr 12:30 PM – 1:20 PM
ASB 9838, Burnaby
D104 Fr 12:30 PM – 1:20 PM
ASB 9838, Burnaby
D105 Fr 1:30 PM – 2:20 PM
ASB 9838, Burnaby
D106 Fr 1:30 PM – 2:20 PM
ASB 9838, Burnaby
D107 Fr 2:30 PM – 3:20 PM
ASB 9838, Burnaby
D108 Fr 2:30 PM – 3:20 PM
ASB 9838, Burnaby
E100 Anne Lavergne
We 5:30 PM – 8:20 PM
HCC 1900, Vancouver
CMPT 250 - Introduction to Computer Architecture (3)

This course deals with the main concepts embodied in computer hardware architecture. In particular, the organization, design and limitations of the major building blocks in modern computers is covered in detail. Topics will include: processor organization; control logic design; memory systems; and architectural support for operating systems and programming languages. A hardware description language will be used as a tool to express and work with design concepts. Prerequisite: CMPT/ENSC 150. Students with credit for ENSC 250 may not take this course for further credit. Quantitative.

CMPT 275 - Software Engineering I (4)

Introduction to software engineering techniques used in analysis/design and in software project management. The course centres on a team project involving requirements gathering, object analysis and simple data normalization, use-case-driven user documentation and design followed by implementation and testing. Additionally, there is an introduction to project planning, metrics, quality assurance, configuration management, and people issues. 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 276 may not take this course for further credit.

Section Instructor Day/Time Location
E100 Mo 5:30 PM – 8:20 PM
AQ 3005, Burnaby
MACM 101 - Discrete Mathematics I (3)

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

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

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

Section Instructor Day/Time Location
D200 Matthew DeVos
Mo, We, Fr 12:30 PM – 1:20 PM
SSCC 9001, Burnaby
OP01 TBD
OP02 TBD

and one of

MATH 150 - Calculus I with Review (4)

Designed for students specializing in mathematics, physics, chemistry, computing science and engineering. Topics as for Math 151 with a more extensive review of functions, their properties and their graphs. Recommended for students with no previous knowledge of Calculus. In addition to regularly scheduled lectures, students enrolled in this course are encouraged to come for assistance to the Calculus Workshop (Burnaby), or Math Open Lab (Surrey). Prerequisite: Pre-Calculus 12 (or equivalent) with a grade of at least B+, or MATH 100 with a grade of at least B-, or achieving a satisfactory grade on the Simon Fraser University Calculus Readiness Test. Students with credit for either MATH 151, 154 or 157 may not take MATH 150 for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Sophie Burrill
Mo, We, Fr 8:30 AM – 9:20 AM
SSCB 9200, Burnaby
D101 Tu 8:30 AM – 9:20 AM
WMC 2220, Burnaby
D102 Tu 9:30 AM – 10:20 AM
WMC 2220, Burnaby
D103 Tu 10:30 AM – 11:20 AM
WMC 2220, Burnaby
D104 We 2:30 PM – 3:30 PM
WMC 2810, Burnaby
D105 We 3:30 PM – 4:20 PM
WMC 2810, Burnaby
D200 Veselin Jungic
Mo, We, Fr 8:30 AM – 9:20 AM
RCB IMAGTH, Burnaby
D201 Tu 8:30 AM – 9:20 AM
WMC 3535, Burnaby
D202 Tu 1:30 PM – 2:20 PM
SWH 10061, Burnaby
D203 Tu 2:30 PM – 3:20 PM
SWH 10061, Burnaby
D204 Fr 2:30 PM – 3:20 PM
WMC 2810, Burnaby
D205 Fr 3:30 PM – 4:20 PM
WMC 2810, Burnaby
D300 Natalia Kouzniak
Mo, We, Fr 9:30 AM – 10:20 AM
SRYE 1002, Surrey
D301 We 1:30 PM – 2:20 PM
,
D302 We 4:30 PM – 5:20 PM
,
D303 Th 1:30 PM – 2:20 PM
,
OP01 TBD
OP02 TBD
OP03 TBD
MATH 151 - Calculus I (3)

Designed for students specializing in mathematics, physics, chemistry, computing science and engineering. Logarithmic and exponential functions, trigonometric functions, inverse functions. Limits, continuity, and derivatives. Techniques of differentiation, including logarithmic and implicit differentiation. The Mean Value Theorem. Applications of differentiation including extrema, curve sketching, Newton's method. Introduction to modeling with differential equations. Polar coordinates, parametric curves. Prerequisite: Pre-Calculus 12 (or equivalent) with a grade of at least A, or MATH 100 with a grade of at least B, or achieving a satisfactory grade on the Simon Fraser University Calculus Readiness Test. Students with credit for either MATH 150, 154 or 157 may not take MATH 151 for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Mo, We, Fr 8:30 AM – 9:20 AM
SSCB 9200, Burnaby
D200 Mo, We, Fr 8:30 AM – 9:20 AM
RCB IMAGTH, Burnaby
D300 Mo, We, Fr 9:30 AM – 10:20 AM
SRYE 1002, Surrey
OP01 TBD
MATH 154 - Calculus I for the Biological Sciences (3)

Designed for students specializing in the biological and medical sciences. Topics include: limits, growth rate and the derivative; elementary functions, optimization and approximation methods, and their applications; mathematical models of biological processes. Prerequisite: Pre-Calculus 12 (or equivalent) with a grade of at least B, or MATH 100 with a grade of at least C, or achieving a satisfactory grade on the Simon Fraser University Calculus Readiness Test. Students with credit for either MATH 150, 151 or 157 may not take MATH 154 for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Petr Lisonek
Mo, We, Fr 8:30 AM – 9:20 AM
SSCC 9001, Burnaby
D200 Mo, We, Fr 9:30 AM – 10:20 AM
,
OP01 TBD
OP02 TBD
MATH 157 - Calculus I for the Social Sciences (3)

Designed for students specializing in business or the social sciences. Topics include: limits, growth rate and the derivative; logarithmic, exponential and trigonometric functions and their application to business, economics, optimization and approximation methods; introduction to functions of several variables with emphasis on partial derivatives and extrema. Prerequisite: Pre-Calculus 12 (or equivalent) with a grade of at least B, or MATH 100 with a grade of at least C, or achieving a satisfactory grade on the Simon Fraser University Calculus Readiness Test. Students with credit for either MATH 150, 151 or 154 may not take MATH 157 for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Stephen Choi
Mo, We, Fr 11:30 AM – 12:20 PM
SSCC 9001, Burnaby
D200 Mo, We, Fr 12:30 PM – 1:20 PM
SRYE 1002, Surrey
OP01 TBD
OP02 TBD

and one of

MATH 152 - Calculus II (3)

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

Section Instructor Day/Time Location
D100 Michael Monagan
Mo, We, Fr 8:30 AM – 9:20 AM
SSCB 9201, Burnaby
OP01 TBD
MATH 155 - Calculus II for the Biological Sciences (3)

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

MATH 158 - Calculus II for the Social Sciences (3)

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

and one of

MATH 232 - Applied Linear Algebra (3)

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

Section Instructor Day/Time Location
D100 Luis Goddyn
Mo, We, Fr 11:30 AM – 12:20 PM
RCB IMAGTH, Burnaby
D200 Mo, We, Fr 3:30 PM – 4:20 PM
,
OP01 TBD
OP02 TBD
MATH 240 - Algebra I: Linear Algebra (3)

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

Section Instructor Day/Time Location
D100 Razvan Fetecau
Mo 11:30 AM – 12:20 PM
We 11:30 AM – 12:20 PM
Fr 11:30 AM – 12:20 PM
AQ 3005, Burnaby
AQ 3153, Burnaby
AQ 3159, Burnaby
OP01 TBD

and one of

STAT 270 - Introduction to Probability and Statistics (3)

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

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

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

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

and at least two of

CMNS 259 - Listening, Culture and Society (3)

An introduction to sound as a communications medium and listening as a cultural as well as perpetual practice. Designed to develop the student's perception and understanding of sound and its behaviour in the interpersonal, social, environmental, media and creative fields. Explores a variety of cultural themes related to sound and listening with special reference to acoustic design and sonic environments. Breadth-Humanities/Social Sciences.

Section Instructor Day/Time Location
D100 Milena Droumeva
Th 2:30 PM – 4:20 PM
HCC 2510, Vancouver
D101 Th 4:30 PM – 6:20 PM
HCC 2925, Vancouver
D102 Th 6:30 PM – 8:20 PM
HCC 2925, Vancouver
CA 247 - Electroacoustic Music I (3)

The theory and practice of electroacoustic music technology and composition. The course will examine through lecture and studio work the following topics: analog and digital synthesis, microcomputer use, the multi-track studio, signal processing, communication protocols such as MIDI and sampling techniques. Prerequisite: CA (or FPA) 149. Students with credit for FPA 247 may not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Mauricio Pauly
Mo, We 12:30 PM – 2:20 PM
GCA 2345, GOLDCORP
CA 289 - Selected Topics in the Fine and Performing Arts (3)

A specific topic in fine and performing arts which is not otherwise covered in depth in regular courses and which is not appropriately placed within a single arts discipline. The work will be practical, theoretical, or a combination of the two, depending on the particular topic in a given term. May be of particular interest to students in other departments. May repeat for credit. Prerequisite: 15 CA (or FPA) units.

Upper Division Requirements

Students complete at least 39 units of computing science upper division courses, which should include CMPT courses in the following required and elective courses. Students must consult an advisor before commencing upper division requirements.

Students complete 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 Ryan Shea
Mo, We, Fr 10:30 AM – 11:20 AM
AQ 3181, Burnaby
CMPT 307 - Data Structures and Algorithms (3)

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

Section Instructor Day/Time Location
D100 Binay Bhattacharya
Mo 9:30 AM – 10:20 AM
We, Fr 9:30 AM – 10:20 AM
SSCC 9000, Burnaby
WMC 3260, Burnaby
D200 Joseph Peters
Mo, We, Fr 12:30 PM – 1:20 PM
AQ 3003, Burnaby
CMPT 320 - Social Implications - Computerized Society (3)

An examination of social processes that are being automated and implications for good and evil, that may be entailed in the automation of procedures by which goods and services are allocated. Examination of what are dehumanizing and humanizing parts of systems and how systems can be designed to have a humanizing effect. Prerequisite: A CMPT course and 45 units. Breadth-Science.

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 Thomas Shermer
Tu 1:30 PM – 2:20 PM
Th 12:30 PM – 2:20 PM
BLU 9660, Burnaby
SSCK 9500, Burnaby
CMPT 363 - User Interface Design (3)

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

Section Instructor Day/Time Location
E100 Tu 5:30 PM – 8:20 PM
HCC 1900, Vancouver
CMPT 365 - Multimedia Systems (3)

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

Section Instructor Day/Time Location
D100 Mo, We, Fr 9:30 AM – 10:20 AM
SWH 10041, Burnaby
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 Vijaykumar Singh
Mo, We, Fr 12:30 PM – 1:20 PM
WMC 3520, Burnaby
D101 We 2:30 PM – 3:20 PM
WMC 2830, Burnaby
D102 We 3:30 PM – 4:20 PM
WMC 2830, Burnaby
D103 We 4:30 PM – 5:20 PM
WMC 2830, Burnaby
D104 Th 9:30 AM – 10:20 AM
WMC 2830, Burnaby
D105 Th 10:30 AM – 11:20 AM
WMC 2830, Burnaby
D106 Th 11:30 AM – 12:20 PM
WMC 2830, Burnaby

At least six of the following are required, three of which must be 400 division, three must be designated CMPT and two must be non-CMPT courses.

CMNS 358 - Sound Recording: Theory and Design (4)

An intermediate level studio workshop to develop the student's skills in sound production with an understanding of the communicational implications of sound design. Audio theory and its applications in both the digital and analog formats will be presented, along with practical studio techniques for stereo and multi-channel sound production. Prerequisite: CMNS 258 (or equivalent) with a grade of B or higher, and approval of instructor.

Section Instructor Day/Time Location
D100 David Murphy
Mo 10:30 AM – 12:20 PM
SSCK 7651, Burnaby
D101 Mo 1:30 PM – 4:20 PM
SSCK 7651, Burnaby
CMNS 359 - The Culture and Politics of Sound (4)

What do spectrograms, WWII and bird science have in common? What happens when we listen to sound and music? This seminar and lab course is designed to support active, applied upper level project work in the field of cultural sound studies using communications approaches, media analysis, audio production, and reflexive ethnography. Topics include but are not limited to: cultural aspects of listening, auditory perception, systems for measurement and evaluation of sound, soundwalking and urban sound design, race and gender dimensions of sound, audio techniques and formats in music production, sound design, soundmapping, and data sonification. Prerequisite: 45 units. Recommended: CMNS 259.

CMPT 310 - Artificial Intelligence Survey (3)

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

Section Instructor Day/Time Location
D100 Maxwell Libbrecht
Mo, We, Fr 11:30 AM – 12:20 PM
AQ 3181, Burnaby
CMPT 354 - Database Systems I (3)

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

Section Instructor Day/Time Location
D100 Martin Ester
Tu 10:30 AM – 11:20 AM
Th 9:30 AM – 11:20 AM
AQ 3005, Burnaby
AQ 3005, Burnaby
E100 Evgenia Ternovska
Th 5:30 PM – 8:20 PM
HCC 1700, Vancouver
CMPT 371 - Data Communications and Networking (3)

Data communication fundamentals (data types, rates, and transmission media). Network architectures for local and wide areas. Communications protocols suitable for various architectures. ISO protocols and internetworking. Performance analysis under various loadings and channel error rates. Prerequisite: CMPT 225, (CMPT 150, ENSC 150 or CMPT 295) and MATH 151 (MATH 150). MATH 154 or 157 with a grade of at least B+ may be substituted for MATH 151 (MATH 150).

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

Section Instructor Day/Time Location
D100 Yasutaka Furukawa
Tu 2:30 PM – 4:20 PM
Th 2:30 PM – 3:20 PM
SSCK 9500, Burnaby
SSCK 9500, Burnaby
CMPT 414 - Model-Based Computer Vision (3)

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

CMPT 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 466 - Animation (3)

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

Section Instructor Day/Time Location
D100 KangKang Yin
We 1:30 PM – 2:20 PM
Fr 12:30 PM – 2:20 PM
WMC 3210, Burnaby
WMC 3210, Burnaby
CMPT 469 - Special Topics in Computer Graphics (3)

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

Section Instructor Day/Time Location
D100 Tu 1:30 PM – 2:20 PM
Th 12:30 PM – 2:20 PM
RCB 8100, Burnaby
BLU 10011, Burnaby
CA 353 - BlackBox Performance (4)

Students continue playmaking research through the creation of an ensemble-generated series of public presentations. Integrates and implements the techniques acquired in studio courses. May repeat for credit. Prerequisite: CA (or FPA 253), or prior approval.

CA 390 - Filmmaking IV (4)

This course includes a series of technical workshops, screenings and seminars along with the completion of creative student projects. A laboratory fee is required. Project costs may require personal funding over and above the lab fee. Prerequisite: CA (or FPA) 231 or approval of instructor. Students with credit for FPA 390 may not take this course for further credit.

Section Instructor Day/Time Location
D100 Skye Hopinka
Tu 2:30 PM – 5:20 PM
GCA 4955, GOLDCORP
D101 Th 2:30 PM – 5:20 PM
GCA 3750, GOLDCORP

Writing, Quantitative, and Breadth Requirements

Students admitted to Simon Fraser University beginning in the fall 2006 term must meet writing, quantitative and breadth requirements as part of any degree program they may undertake. See Writing, Quantitative, and Breadth Requirements for university-wide information.

WQB Graduation Requirements

A grade of C- or better is required to earn W, Q or B credit

Requirement

Units

Notes
W - Writing

6

Must include at least one upper division course, taken at Simon Fraser University within the student’s major subject
Q - Quantitative

6

Q courses may be lower or upper division
B - Breadth

18

Designated Breadth Must be outside the student’s major subject, and may be lower or upper division
6 units Social Sciences: B-Soc
6 units Humanities: B-Hum
6 units Sciences: B-Sci

6

Additional Breadth 6 units outside the student’s major subject (may or may not be B-designated courses, and will likely help fulfil individual degree program requirements)

Students choosing to complete a joint major, joint honours, double major, two extended minors, an extended minor and a minor, or two minors may satisfy the breadth requirements (designated or not designated) with courses completed in either one or both program areas.

 

Residency Requirements and Transfer Credit

  • At least half of the program's total units must be earned through Simon Fraser University study.
  • At least two thirds of the program's total upper division units must be earned through Simon Fraser University study.

Please see Faculty of Applied Sciences Residency Requirements for further information.

Elective Courses

In addition to the courses listed above, students should consult an academic advisor to plan the remaining required elective courses.

Co-operative Education and Work Experience

All computing science students are strongly encouraged to explore the opportunities that Work Integrated Learning (WIL) can offer them. Please contact a computing Science co-op advisor during your first year of studies to ensure that you have all of the necessary courses and information to help plan for a successful co-op experience.