Ά‘ΟγΤ°AV

Please note:

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

| Ά‘ΟγΤ°AV Calendar | Summer 2023

Computing Science Honours

Bachelor of Science or Bachelor of Arts

The school offers an honours program leading to a bachelor of science (BSc) or a bachelor of arts (BA) degree. This undergraduate degree is appropriate for many interdisciplinary areas. Visit for further information.

Ά‘ΟγΤ°AV 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 Ά‘ΟγΤ°AV

Ά‘ΟγΤ°AV 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. Ά‘ΟγΤ°AV averages are calculated over a set of courses satisfying particular breadth constraints.

Internal Transfer

Internal transfer allows students to transfer, within Ά‘ΟγΤ°AV, from one faculty to another.

Ά‘ΟγΤ°AV students applying for School of Computing Science admission are selected on the basis of an admission Computing Related Grade Point Average (CRGPA) and Cumulative Grade Point Average (CGPA). The CRGPA is computed from all courses the student has taken from the following: (CMPT 120, 128 or 130), (CMPT 125, 129 or 135), CMPT 225, (CMPT 275 or 276), CMPT 295, CMPT 300, CMPT 307, MACM 101, (CMPT 210 or MACM 201), MACM 316. Applicants must have completed at least one MACM course and at least two CMPT courses from this list before applying. At least two courses used in the CRGPA calculation must have been taken at Ά‘ΟγΤ°AV.

No course may be included in the average if it is a duplicate of any previous course completed at Ά‘ΟγΤ°AV or elsewhere.

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

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

Continuation Requirements

Students should maintain a CGPA and a UDGPA of 3.00 in order to continue in the Computing Science honours program.

Program Requirements

Students complete the following, with at least 50 units within the minimum of 60 upper division units, as specified below with a minimum graduation GPA of 3.00. For specific program information, course plans, schedules, etc., consult an  

Lower Division Requirements

Students must complete the following curriculum. It is suggested that students complete a recommended schedule of courses within the first two years.

Students complete all of

CMPT 105W - Social Issues and Communication Strategies in Computing Science (3)

This course teaches the fundamentals of informative and persuasive communication for professional engineers and computer scientists. A principal goal of this course is to assist students in thinking critically about various contemporary technical, social, and ethical issues. It focuses on communicating technical information clearly and concisely, managing issues of persuasion when communicating with diverse audiences, presentation skills, and teamwork. Students with credit for ENSC 102, ENSC 105W, MSE 101W or SEE 101W may not take CMPT 105W for further credit. Writing.

Section Instructor Day/Time Location
May 8 – Aug 4, 2023: Tue, 8:30–10:20 a.m.
May 8 – Aug 4, 2023: Fri, 8:30–9:20 a.m.
Burnaby
Burnaby
May 8 – Aug 4, 2023: Mon, 12:30–1:20 p.m.
May 8 – Aug 4, 2023: Thu, 12:30–2:20 p.m.
Burnaby
Burnaby
CMPT 120 - Introduction to Computing Science and Programming I (3)

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

Section Instructor Day/Time Location
Hazra Imran
May 8 – Aug 4, 2023: Mon, 8:30–10:20 a.m.
May 8 – Aug 4, 2023: Wed, 8:30–9:20 a.m.
Burnaby
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: memory management; fundamental algorithms; formally analyzing the running time of algorithms; abstract data types and elementary data structures; object-oriented programming and software design; specification and program correctness; reading and writing files; debugging tools; shell commands. Prerequisite: CMPT 120 or CMPT 130, with a minimum grade of C-. Students with credit for CMPT 126, 129, 135 or CMPT 200 or higher may not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
Janice Regan
May 8 – Aug 4, 2023: Wed, 3:30–4:20 p.m.
May 8 – Aug 4, 2023: Fri, 2:30–4:20 p.m.
Burnaby
Burnaby
D101 May 8 – Aug 4, 2023: Tue, 10:30–11:20 a.m.
Burnaby
D102 May 8 – Aug 4, 2023: Tue, 10:30–11:20 a.m.
Burnaby
D103 May 8 – Aug 4, 2023: Tue, 11:30 a.m.–12:20 p.m.
Burnaby
D104 May 8 – Aug 4, 2023: Tue, 11:30 a.m.–12:20 p.m.
Burnaby
D105 May 8 – Aug 4, 2023: Tue, 12:30–1:20 p.m.
Burnaby
D106 May 8 – Aug 4, 2023: Tue, 12:30–1:20 p.m.
Burnaby
D107 May 8 – Aug 4, 2023: Tue, 1:30–2:20 p.m.
Burnaby
D108 May 8 – Aug 4, 2023: Tue, 1:30–2:20 p.m.
Burnaby
CMPT 225 - Data Structures and Programming (3)

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

Section Instructor Day/Time Location
Toby Donaldson
May 8 – Aug 4, 2023: Tue, 12:30–2:20 p.m.
May 8 – Aug 4, 2023: Fri, 12:30–1:20 p.m.
Burnaby
Burnaby
D101 May 8 – Aug 4, 2023: Wed, 11:30 a.m.–12:20 p.m.
Burnaby
D102 May 8 – Aug 4, 2023: Wed, 11:30 a.m.–12:20 p.m.
Burnaby
D103 May 8 – Aug 4, 2023: Thu, 9:30–10:20 a.m.
Burnaby
D104 May 8 – Aug 4, 2023: Thu, 9:30–10:20 a.m.
Burnaby
D105 May 8 – Aug 4, 2023: Thu, 10:30–11:20 a.m.
Burnaby
D106 May 8 – Aug 4, 2023: Thu, 10:30–11:20 a.m.
Burnaby
D107 May 8 – Aug 4, 2023: Wed, 12:30–1:20 p.m.
Burnaby
D108 May 8 – Aug 4, 2023: Wed, 12:30–1:20 p.m.
Burnaby
John Edgar
May 8 – Aug 4, 2023: Mon, Wed, Fri, 8:30–9:20 a.m.
Surrey
D201 May 8 – Aug 4, 2023: Mon, 10:30–11:20 a.m.
Surrey
D202 May 8 – Aug 4, 2023: Mon, 10:30–11:20 a.m.
Surrey
D203 May 8 – Aug 4, 2023: Mon, 11:30 a.m.–12:20 p.m.
Surrey
D204 May 8 – Aug 4, 2023: Mon, 11:30 a.m.–12:20 p.m.
Surrey
D205 May 8 – Aug 4, 2023: Mon, 12:30–1:20 p.m.
Surrey
D206 May 8 – Aug 4, 2023: Mon, 12:30–1:20 p.m.
Surrey
D207 May 8 – Aug 4, 2023: Mon, 1:30–2:20 p.m.
Surrey
D208 May 8 – Aug 4, 2023: Mon, 1:30–2:20 p.m.
Surrey
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), all with a minimum grade of C-. 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
Tao Wang
May 8 – Aug 4, 2023: Mon, 2:30–3:20 p.m.
May 8 – Aug 4, 2023: Thu, 2:30–4:20 p.m.
Burnaby
Burnaby
Bobby Chan
May 8 – Aug 4, 2023: Wed, 11:30 a.m.–12:20 p.m.
May 8 – Aug 4, 2023: Fri, 10:30 a.m.–12:20 p.m.
Surrey
Surrey
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 or CMPT 135)) or (MATH 151 and CMPT 102 for students in an Applied Physics program), all with a minimum grade of C-.

Section Instructor Day/Time Location
Arrvindh Shriraman
May 8 – Aug 4, 2023: Mon, 12:30–1:20 p.m.
May 8 – Aug 4, 2023: Thu, 12:30–2:20 p.m.
Burnaby
Burnaby
D101 May 8 – Aug 4, 2023: Fri, 1:30–2:20 p.m.
Burnaby
D102 May 8 – Aug 4, 2023: Fri, 1:30–2:20 p.m.
Burnaby
D103 May 8 – Aug 4, 2023: Fri, 2:30–3:20 p.m.
Burnaby
D104 May 8 – Aug 4, 2023: Fri, 2:30–3:20 p.m.
Burnaby
D105 May 8 – Aug 4, 2023: Fri, 3:30–4:20 p.m.
Burnaby
D106 May 8 – Aug 4, 2023: Fri, 3:30–4:20 p.m.
Burnaby
Gregory Baker
May 8 – Aug 4, 2023: Mon, Wed, Fri, 10:30–11:20 a.m.
Burnaby
D201 May 8 – Aug 4, 2023: Wed, 1:30–2:20 p.m.
Burnaby
D202 May 8 – Aug 4, 2023: Wed, 1:30–2:20 p.m.
Burnaby
D203 May 8 – Aug 4, 2023: Wed, 2:30–3:20 p.m.
Burnaby
D204 May 8 – Aug 4, 2023: Wed, 2:30–3:20 p.m.
Burnaby
D205 May 8 – Aug 4, 2023: Wed, 3:30–4:20 p.m.
Burnaby
D206 May 8 – Aug 4, 2023: Wed, 3:30–4:20 p.m.
Burnaby
D207 May 8 – Aug 4, 2023: Wed, 4:30–5:20 p.m.
Burnaby
D208 May 8 – Aug 4, 2023: Wed, 4:30–5:20 p.m.
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
Brad Bart
May 8 – Aug 4, 2023: Mon, Wed, Fri, 11:30 a.m.–12:20 p.m.
Burnaby
D101 May 8 – Aug 4, 2023: Tue, 2:30–3:20 p.m.
Burnaby
D102 May 8 – Aug 4, 2023: Tue, 2:30–3:20 p.m.
Burnaby
D103 May 8 – Aug 4, 2023: Tue, 3:30–4:20 p.m.
Burnaby
D104 May 8 – Aug 4, 2023: Tue, 3:30–4:20 p.m.
Burnaby
D105 May 8 – Aug 4, 2023: Tue, 4:30–5:20 p.m.
Burnaby
D106 May 8 – Aug 4, 2023: Tue, 4:30–5:20 p.m.
Burnaby
D107 May 8 – Aug 4, 2023: Tue, 5:30–6:20 p.m.
Burnaby
D108 May 8 – Aug 4, 2023: Tue, 5:30–6:20 p.m.
Burnaby

and one of

CMPT 210 - Probability and Computing (3)

Probability has become an essential tool in modern computer science with applications in randomized algorithms, computer vision and graphics, systems, data analysis, and machine learning. The course introduces the foundational concepts in probability as required by many modern applications in computing. Prerequisite: MACM 101, MATH 152, and MATH 240, all with a minimum grade of C-.

Section Instructor Day/Time Location
Brad Bart
May 8 – Aug 4, 2023: Mon, Wed, Fri, 9:30–10:20 a.m.
Burnaby
MACM 201 - Discrete Mathematics II (3)

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

and one of

MATH 150 - Calculus I with Review (4)

Designed for students specializing in mathematics, physics, chemistry, computing science and engineering. Topics as for Math 151 with a more extensive review of functions, their properties and their graphs. Recommended for students with no previous knowledge of Calculus. In addition to regularly scheduled lectures, students enrolled in this course are encouraged to come for assistance to the Calculus Workshop (Burnaby), or Math Open Lab (Surrey). Prerequisite: Pre-Calculus 12 (or equivalent) with a grade of at least B+, or MATH 100 with a grade of at least B-, or achieving a satisfactory grade on the Ά‘ΟγΤ°AV 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
MacKenzie Carr
May 8 – Aug 4, 2023: Mon, Wed, Fri, 1:30–2:20 p.m.
Burnaby
D101 May 8 – Aug 4, 2023: Tue, 8:30–9:20 a.m.
Burnaby
D102 May 8 – Aug 4, 2023: Tue, 9:30–10:20 a.m.
Burnaby
D103 May 8 – Aug 4, 2023: Tue, 10:30–11:20 a.m.
Burnaby
OP01 TBD
MATH 151 - Calculus I (3)

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

MATH 154 - Mathematics for the Life Sciences I (3) **

Designed for students specializing in the life sciences. Topics include: limits, growth rate and the derivative; elementary functions, optimization and approximation methods, and their applications, integration, and differential equations; mathematical models of biological processes and their implementation and analysis using software. 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 Ά‘ΟγΤ°AV Calculus Readiness Test. Students with credit for either MATH 150, 151 or 157 may not take MATH 154 for further credit. Quantitative.

MATH 157 - Calculus I for the Social Sciences (3) **

Designed for students specializing in business or the social sciences. Topics include: limits, growth rate and the derivative; logarithmic, exponential and trigonometric functions and their application to business, economics, optimization and approximation methods; introduction to functions of several variables with emphasis on partial derivatives and extrema. Prerequisite: Pre-Calculus 12 (or equivalent) with a grade of at least B, or MATH 100 with a grade of at least C, or achieving a satisfactory grade on the Ά‘ΟγΤ°AV 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
Mahsa Faizrahnemoon
May 8 – Aug 4, 2023: Mon, Wed, Fri, 11:30 a.m.–12:20 p.m.
Burnaby
OP01 TBD

and one of

MATH 152 - Calculus II (3)

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

Section Instructor Day/Time Location
Alexander Rutherford
May 8 – Aug 4, 2023: Mon, Wed, Fri, 8:30–9:20 a.m.
Burnaby
OP01 TBD
MATH 155 - Mathematics for the Life Sciences II (3) **

Designed for students specializing in the life sciences. Topics include: vectors and matrices, partial derivatives, multi-dimensional integrals, systems of differential equations, compartment models, graphs and networks, and their applications to the life sciences; mathematical models of multi-component biological processes and their implementation and analysis using software. Prerequisite: MATH 150, 151 or 154, with a minimum grade of C-; or MATH 157 with a grade of at least B. Students with credit for MATH 152 or 158 may not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
Vijaykumar Singh
May 8 – Aug 4, 2023: Mon, Wed, Fri, 8:30–9:20 a.m.
Burnaby
OPO1 TBD
MATH 158 - Calculus II for the Social Sciences (3) **

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

and one of

MATH 232 - Applied Linear Algebra (3)

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

Section Instructor Day/Time Location
Navpreet Kaur
May 8 – Aug 4, 2023: Mon, Wed, Fri, 1:30–2:20 p.m.
Surrey
OP01 TBD
MATH 240 - Algebra I: Linear Algebra (3)

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

Section Instructor Day/Time Location
Jonathan Jedwab
May 8 – Aug 4, 2023: Mon, Wed, Fri, 11:30 a.m.–12:20 p.m.
Burnaby
D101 May 8 – Aug 4, 2023: Thu, 9:30–10:20 a.m.
Burnaby
D102 May 8 – Aug 4, 2023: Thu, 2:30–3:20 p.m.
Burnaby
D103 May 8 – Aug 4, 2023: Thu, 3:30–4:20 p.m.
Burnaby

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, with a minimum grade of C-. Students wishing an intuitive appreciation of a broad range of statistical strategies may wish to take STAT 100 first. Quantitative.

Section Instructor Day/Time Location
Wei Lin
May 8 – Aug 4, 2023: Wed, 11:30 a.m.–12:20 p.m.
May 8 – Aug 4, 2023: Fri, 10:30 a.m.–12:20 p.m.
Burnaby
Burnaby
Gamage Perera
Online
OP01 TBD
STAT 271 - Probability and Statistics for Computing Science (3)

This is an introductory course in probability and statistics that is designed for Computer Science students. Mainly covers basic probability theory and statistical methods for designing and analyzing computing algorithms and systems. Topics include continuous probability distributions, random variables, multivariate normal distributions, parameter estimation and inference theory, as well as design and analysis of statistical studies, including hypothesis testing and presentation of statistical data. Prerequisite: CMPT 210 with a minimum grade of C-.

** with a grade of at least B+, and with school permission.

Upper Division Requirements

Consult an before commencing upper division requirements.

Students are required to bring the total upper division units in CMPT/MACM courses to at least 50 units within the minimum of 60 upper division units, and an overall total of 132 units are required for the degree, together with a graduation grade point average of at least 3.00.

Students must complete

CMPT 376W - Professional Responsibility and Technical Writing (3)

Covers professional writing in computing science, including format conventions and technical reports. The basis for ethical decision-making and the methodology for reaching ethical decisions concerning computing matters will be studied. Students will survey and write research papers, and both individual and group work will be emphasized. Prerequisite: CMPT 105W and (CMPT 275 or CMPT 276), with a minimum grade of C-. Writing.

Section Instructor Day/Time Location
Harinder Khangura
May 8 – Aug 4, 2023: Tue, 11:30 a.m.–2:20 p.m.
Surrey

Elective Courses

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

Breadth Requirement

One course in each of the six areas of Table I is required. These courses must include

CMPT 300 - Operating Systems I (3)

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

Section Instructor Day/Time Location
Hazra Imran
May 8 – Aug 4, 2023: Mon, 10:30 a.m.–12:20 p.m.
May 8 – Aug 4, 2023: Wed, 10:30–11:20 a.m.
Burnaby
Burnaby
CMPT 307 - Data Structures and Algorithms (3)

Design and analysis of efficient data structures and algorithms. General techniques for building and analyzing algorithms (greedy, divide & conquer, dynamic programming, network flows). Introduction to NP-completeness. Prerequisite: CMPT 225, (MACM 201 or CMPT 210), (MATH 150 or MATH 151), and (MATH 232 or MATH 240), all with a minimum grade of C-. MATH 154 or MATH 157 with a grade of at least B+ may be substituted for MATH 150 or MATH 151.

Section Instructor Day/Time Location
Valentine Kabanets
May 8 – Aug 4, 2023: Wed, 3:30–4:20 p.m.
May 8 – Aug 4, 2023: Fri, 2:30–4:20 p.m.
Burnaby
Burnaby
CMPT 354 - Database Systems I (3)

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

Section Instructor Day/Time Location
May 8 – Aug 4, 2023: Tue, 2:30–5:20 p.m.
Burnaby

Depth Requirement

Eighteen units of additional CMPT courses numbered CMPT 300 or above must be completed, at least twelve of which must be numbered 400 or above. 

These eighteen units must include CMPT 405; at least one other course in the theoretical computing science concentration; and, unless given special permission, cannot include CMPT 415, 416 and 498.

In addition, six units of research courses are required including both of

CMPT 415 - Special Research Projects (3)

To be individually arranged. Prerequisite: Permission of Instructor and School.

Section Instructor Day/Time Location
TBD
TBD
TBD
TBD
TBD
TBD
TBD
TBD
TBD
CMPT 416 - Special Research Projects (3)

To be individually arranged. Prerequisite: Permission of the department.

Section Instructor Day/Time Location
TBD
TBD
TBD

or

CMPT 498 - Honours Research Project (6)

Students must submit a proposal to the Undergraduate Chair, including the name and signature of the supervising faculty member(s). Students must complete a project report and make a project presentation. This course can satisfy the research project requirements for Computing Science honours students. Prerequisite: Students must have completed 90 units, including 15 units of upper division CMPT courses, and have a GPA of at least 3.00. The proposal must be submitted to the Undergraduate Chair at least 15 days in advance of the term. The proposal must be signed by the supervisor(s) and the undergraduate chair.

Section Instructor Day/Time Location
TBD
TBD
TBD

BSc Credential

For a BSc computing science degree, the following additional requirements must be met.

  • two additional courses chosen from Table I, II or III

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
Jane MacDonald
May 8 – Aug 4, 2023: Mon, Wed, Fri, 10:30–11:20 a.m.
Burnaby
D101 May 8 – Aug 4, 2023: Wed, 2:30–3:20 p.m.
Burnaby
D102 May 8 – Aug 4, 2023: Wed, 3:30–4:20 p.m.
Burnaby
D103 May 8 – Aug 4, 2023: Wed, 4:30–5:20 p.m.
Burnaby
D104 May 8 – Aug 4, 2023: Thu, 9:30–10:20 a.m.
Burnaby
D105 May 8 – Aug 4, 2023: Thu, 10:30–11:20 a.m.
Burnaby
D106 May 8 – Aug 4, 2023: Thu, 11:30 a.m.–12:20 p.m.
Burnaby
D107 May 8 – Aug 4, 2023: Wed, 4:30–5:20 p.m.
Burnaby

Areas of Concentration

The primary upper division requirements are structured according to breadth, depth and credential requirements as listed below.

As part of a major program, students may complete one or more concentrations from these six areas: artificial intelligence, computer graphics and multimedia, computing systems, information systems, programming languages and software, and theoretical computing science.

To complete a concentration, students complete the major requirements, including four courses in the corresponding section below - Computing Science Concentrations, at least two of which must be at the 400 division. Courses used to meet the requirements of a concentration may also be used to meet other program requirements.

Table I – Computing Science Concentrations

Artificial Intelligence

CMPT 310 - Introduction to Artificial Intelligence (3)

A survey of modern approaches for artificial intelligence (AI). Provides an introduction to a variety of AI topics and prepares students for upper-level courses. Topics include: problem solving with search; adversarial game playing; probability and Bayesian networks; machine learning; and applications such as robotics, visual computing and natural language. Prerequisite: CMPT 225 and (MACM 101 or (ENSC 251 and ENSC 252)), all with a minimum grade of C-.

Section Instructor Day/Time Location
May 8 – Aug 4, 2023: Mon, 8:30–9:20 a.m.
May 8 – Aug 4, 2023: Thu, 8:30–10:20 a.m.
Burnaby
Burnaby
CMPT 340 - Biomedical Computing (3)

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

CMPT 410 - Machine Learning (3)

Machine Learning (ML) is the study of computer algorithms that improve automatically through experience. This course introduces students to the theory and practice of machine learning, and covers mathematical foundations, models such as (generalized) linear models, kernel methods and neural networks, loss functions for classification and regression, and optimization methods. Prerequisite: CMPT 310 and MACM 316, both with a minimum grade of C-. Students with credit for CMPT 419 under the title "Machine Learning" may not take this course for further credit.

CMPT 411 - Knowledge Representation (3)

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

CMPT 412 - Computational Vision (3)

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

CMPT 413 - Computational Linguistics (3)

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

CMPT 414 - Model-Based Computer Vision (3)

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

CMPT 417 - Intelligent Systems (3)

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

CMPT 419 - Special Topics in Artificial Intelligence (3)

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

Section Instructor Day/Time Location
Anoop Sarkar
May 8 – Aug 4, 2023: Mon, 10:30 a.m.–12:20 p.m.
May 8 – Aug 4, 2023: Wed, 10:30–11:20 a.m.
Burnaby
Burnaby
CMPT 420 - Deep Learning (3)

In machine learning, many recent successes have been achieved using neural networks with several layers, so-called deep neural networks. Convolutional neural nets, autoencoders, recurrent neural nets, long-short term memory networks, and generative adversarial networks will be presented. Students will look at techniques for training them from data, and applications. Prerequisite: CMPT 410 or CMPT 419 (Machine Learning), with a minimum grade of C-. Students with credit for CMPT 728 may not take this course for further credit.

Computer Graphics and Multimedia

CMPT 361 - Introduction to Computer Graphics (3)

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

Section Instructor Day/Time Location
KangKang Yin
May 8 – Aug 4, 2023: Tue, 10:30 a.m.–12:20 p.m.
May 8 – Aug 4, 2023: Fri, 10:30–11:20 a.m.
Burnaby
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 with a minimum grade of C-.

Section Instructor Day/Time Location
Victor Cheung
May 8 – Aug 4, 2023: Wed, 3:30–4:20 p.m.
May 8 – Aug 4, 2023: Fri, 2:30–4:20 p.m.
Surrey
Surrey
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 with a minimum grade of C-.

CMPT 461 - Computational Photography and Image Manipulation (3)

Computational Photography is concerned with overcoming the limitations of traditional photography with computation: in optics, sensors, and geometry; and even in composition, style, and human interfaces. The course covers computational techniques to improve the way we process, manipulate, and interact with visual media. The covered topics include image-based lighting and rendering, camera geometry and optics, computational apertures, advanced image filtering operations, high-dynamic range, image blending, texture synthesis and inpainting. Prerequisite: CMPT 361, (MACM 201 or CMPT 210), and MACM 316, all with a minimum grade of C-. Students with credit for CMPT 451 may not take this course for further credit.

CMPT 464 - Geometric Modelling in Computer Graphics (3)

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

CMPT 466 - Animation (3)

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

CMPT 467 - Visualization (3)

Presents advanced topics in the field of scientific and information visualization. Topics include an introduction to visualization (importance, basic approaches, and existing tools), abstract visualization concepts, human perception, visualization methodology, data representation, 2D and 3D display, interactive visualization, and their use in medical, scientific, and business applications. Prerequisite: CMPT 361, MACM 316, both with a minimum grade of C-.

CMPT 469 - Special Topics in Computer Graphics (3)

Current topics in computer graphics depending on faculty and student interest. Prerequisite: CMPT 361 with a minimum grade of C-.

Section Instructor Day/Time Location
Victor Cheung
May 8 – Aug 4, 2023: Mon, 10:30 a.m.–12:20 p.m.
May 8 – Aug 4, 2023: Wed, 10:30–11:20 a.m.
Surrey
Surrey

Computing Systems

CMPT 300 - Operating Systems I (3)

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

Section Instructor Day/Time Location
Hazra Imran
May 8 – Aug 4, 2023: Mon, 10:30 a.m.–12:20 p.m.
May 8 – Aug 4, 2023: Wed, 10:30–11:20 a.m.
Burnaby
Burnaby
CMPT 305 - Computer Simulation and Modelling (3)

An introduction to the modelling, analysis, and computer simulation of complex systems. Topics include analytic modelling, discrete event simulation, experimental design, random number generation, and statistical analysis. Prerequisite: CMPT 225, (MACM 101 or (ENSC 251 and ENSC 252)) and (STAT 270 or STAT 271), all with a minimum grade of C-.

CMPT 371 - Data Communications and Networking (3)

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

Section Instructor Day/Time Location
May 8 – Aug 4, 2023: Tue, 10:30 a.m.–12:20 p.m.
May 8 – Aug 4, 2023: Fri, 10:30–11:20 a.m.
Surrey
Surrey
CMPT 379 - Principles of Compiler Design (3)

This course covers the key components of a compiler for a high level programming language. Topics include lexical analysis, parsing, type checking, code generation and optimization. Students will work in teams to design and implement an actual compiler making use of tools such as lex and yacc. Prerequisite: (MACM 201 or CMPT 210), (CMPT 295 or ENSC 215) and CMPT 225, all with a minimum grade of C-.

Section Instructor Day/Time Location
Thomas Shermer
May 8 – Aug 4, 2023: Mon, 12:30–2:20 p.m.
May 8 – Aug 4, 2023: Wed, 12:30–1:20 p.m.
Burnaby
Burnaby
CMPT 403 - System Security and Privacy (3)

Starting from cybersecurity principles, students will learn to protect systems from attacks on data confidentiality, integrity, system availability, and user privacy. By modeling system security, students will learn to find weaknesses in software, hardware, networks, data storage systems, and the Internet, and identify current security practices to protect these systems. Prerequisite: CMPT 300 with a minimum grade of C-.

Section Instructor Day/Time Location
May 8 – Aug 4, 2023: Wed, 1:30–2:20 p.m.
May 8 – Aug 4, 2023: Fri, 12:30–2:20 p.m.
Burnaby
Burnaby
CMPT 431 - Distributed Systems (3)

An introduction to distributed systems: systems consisting of multiple physical components connected over a network. Architectures of such systems, ranging from client-server to peer-to-peer. Distributed systems are analyzed via case studies of real network file systems, replicated systems, sensor networks and peer-to-peer systems. Hands-on experience designing and implementing a complex distributed system. Prerequisite: CMPT 300, 371, both with a minimum grade of C-. Students with credit for CMPT 401 before September 2008 may not take this course for further credit.

CMPT 433 - Embedded Systems (3)

The basics of embedded system organization, hardware-software co-design, and programmable chip technologies are studied. Formal models and specification languages for capturing and analyzing the behavior of embedded systems. The design and use of tools for system partitioning and hardware/software co-design implementation, validation, and verification are also studied. Prerequisite: CMPT 295 and CMPT 300, with a minimum grade of C-.

CMPT 450 - Computer Architecture (3)

Principles of the architecture of computing systems. Topics include: superscalar processor micro-architecture, speculative execution, cache and memory hierarchy, multiprocessors, cache coherence, memory consistency, implications of technology on architecture, parallel architectures (multi-threading, GPUs, vector processors). Prerequisite: CMPT 295 with a minimum grade of C-.

CMPT 471 - Networking II (3)

This course covers the fundamentals of higher level network functionality such as remote procedure/object calls, name/address resolution, network file systems, network security and high speed connectivity/bridging/switching. Prerequisite: CMPT 300 and 371, with a minimum grade of C-.

CMPT 479 - Special Topics in Computing Systems (3)

Current topics in computing systems depending on faculty and student interest. Prerequisite: CMPT 300 with a minimum grade of C-.

CMPT 499 - Special Topics in Computer Hardware (3)

Current topics in computer hardware depending on faculty and student interest. Prerequisite: CMPT 250 or ENSC 250, with a minimum grade of C-.

Information Systems

CMPT 353 - Computational Data Science (3)

Basic concepts and programming tools for handling and processing data. Includes data acquisition, cleaning data sources, application of machine learning techniques and data analysis techniques, large-scale computation on a computing cluster. Prerequisite: CMPT 225 and (STAT 101, STAT 270, STAT 271, ENSC 280, or MSE 210), with a minimum grade of C-.

Section Instructor Day/Time Location
Gregory Baker
May 8 – Aug 4, 2023: Tue, 12:30–2:20 p.m.
May 8 – Aug 4, 2023: Fri, 12:30–1:20 p.m.
Burnaby
Burnaby
CMPT 354 - Database Systems I (3)

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

Section Instructor Day/Time Location
May 8 – Aug 4, 2023: Tue, 2:30–5:20 p.m.
Burnaby
CMPT 362 - Mobile Applications Programming and Design (3)

Teaches students how to design and implement smartphone applications. Topics include development environment, phone emulator, key programming paradigms, UI design including views, fragments, and activities, data persistence, threads, services, embedded sensors, and location based services (e.g., Google Maps). Concepts are reinforced through programming assignments and group projects. Prerequisite: CMPT 225 with a minimum grade of C-. Students with credit for IAT 359 may not take this course for further credit.

CMPT 372 - Web II - Server-side Development (3)

Introduces students to the fundamentals of server-side web development. Students will gain experience working with backend web frameworks, designing and implementing web APIs, and deploying web systems. Students will be introduced to popular back-end frameworks. The course will focus on the design, creating, implementation, and deployment of backend systems, including APIs. Prerequisite: CMPT 272 and CMPT 225, both with a minimum grade of C-. Students with credit for CMPT 470 may not take this course for further credit.

Section Instructor Day/Time Location
Bobby Chan
May 8 – Aug 4, 2023: Wed, 3:30–4:20 p.m.
May 8 – Aug 4, 2023: Fri, 2:30–4:20 p.m.
Surrey
Surrey
CMPT 441 - Computational Biology (3)

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

CMPT 454 - Database Systems II (3)

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

Section Instructor Day/Time Location
John Edgar
May 8 – Aug 4, 2023: Mon, Wed, Fri, 9:30–10:20 a.m.
Surrey
CMPT 456 - Information Retrieval and Web Search (3)

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

CMPT 459 - Special Topics in Database Systems (3)

Current topics in database and information systems depending on faculty and student interest. Prerequisite: CMPT 354 with a minimum grade of C-.

CMPT 474 - Web Systems Architecture (3)

Web service based systems are fundamentally different from traditional software systems. The conceptual and methodological differences between a standard software development process and the development of a web service based information system. The technology involved during the construction of their own web service based application in an extensive project. Prerequisite: CMPT 371 with a minimum grade of C-.

Programming Languages and Software

CMPT 373 - Software Development Methods (3)

Survey of modern software development methodology. Several software development process models will be examined, as will the general principles behind such models. Provides experience with different programming paradigms and their advantages and disadvantages during software development. Prerequisite: CMPT 276 or 275, with a minimum grade of C-.

CMPT 383 - Comparative Programming Languages (3)

Various concepts and principles underlying the design and use of modern programming languages are considered in the context of procedural, object-oriented, functional and logic programming languages. Topics include data and control structuring constructs, facilities for modularity and data abstraction, polymorphism, syntax, and formal semantics. Prerequisite: CMPT 225 and (MACM 101 or (ENSC 251 and ENSC 252)), all with a minimum grade of C-.

Section Instructor Day/Time Location
Gregory Baker
May 8 – Aug 4, 2023: Mon, 2:30–4:20 p.m.
May 8 – Aug 4, 2023: Wed, 2:30–3:20 p.m.
Burnaby
Burnaby
CMPT 384 - Symbolic Computing (3)

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

CMPT 473 - Software Testing, Reliability and Security (3)

Methods for software quality assurance focusing on reliability and security. Test coverage and test data adequacy including combinatorial testing. MC/DC testing, and mutation testing. Security engineering techniques for vulnerability discovery and mitigation including fuzz testing. Testing techniques will be applied to the assessment of external open source software. Prerequisite: (CMPT 275 or CMPT 276) with a minimum grade of C- and 15 upper division CMPT units.

CMPT 475 - Requirements Engineering (3)

Software succeeds when it is well-matched to its intended purpose. Requirements engineering is the process of discovering that purpose by making requirements explicit and documenting them in a form amenable to analysis, reasoning, and validation, establishing the key attributes of a system prior to its construction. Students will learn methodical approaches to requirements analysis and design specification in early systems development phases, along with best practices and common principles to cope with notoriously changing requirements. Prerequisite: CMPT 275 or CMPT 276, (MACM 201 or CMPT 210) , all with a minimum grade of C- and 15 units of upper division courses. Recommended: Co-op experience.

Section Instructor Day/Time Location
May 8 – Aug 4, 2023: Thu, 11:30 a.m.–2:20 p.m.
Burnaby
CMPT 477 - Introduction to Formal Verification (3)

Introduces, at an accessible level, a formal framework for symbolic model checking, one of the most important verification methods. The techniques are illustrated with examples of verification of reactive systems and communication protocols. Students learn to work with a model checking tool. Prerequisite: CMPT 275 or 276, with a minimum grade of C-.

CMPT 489 - Special Topics in Programming Languages (3)

Current topics in programming languages depending on faculty and student interest. Prerequisite: CMPT 383 with a minimum grade of C-.

Theoretical Computing Science

CMPT 307 - Data Structures and Algorithms (3)

Design and analysis of efficient data structures and algorithms. General techniques for building and analyzing algorithms (greedy, divide & conquer, dynamic programming, network flows). Introduction to NP-completeness. Prerequisite: CMPT 225, (MACM 201 or CMPT 210), (MATH 150 or MATH 151), and (MATH 232 or MATH 240), all with a minimum grade of C-. MATH 154 or MATH 157 with a grade of at least B+ may be substituted for MATH 150 or MATH 151.

Section Instructor Day/Time Location
Valentine Kabanets
May 8 – Aug 4, 2023: Wed, 3:30–4:20 p.m.
May 8 – Aug 4, 2023: Fri, 2:30–4:20 p.m.
Burnaby
Burnaby
CMPT 308 - Computability and Complexity (3)

Formal models of computation such as automata and Turing machines. Decidability and undecidability. Recursion Theorem. Connections between computability and logic (GΓΆdel’s Incompleteness). Time and space complexity classes. NP-completeness. Prerequisite: (MACM 201 or CMPT 210) with a minimum grade of C-.

CMPT 404 - Cryptography and Cryptographic Protocols (3)

The main cryptographic tools and primitives, their use in cryptographic applications; security and weaknesses of the current protocols. The notion of security, standard encryption schemes, digital signatures, zero-knowledge, selected other topics. Prerequisite: (MACM 201 or CMPT 210) with a minimum grade of C-. CMPT 307 and 308 are recommended.

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

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

CMPT 406 - Computational Geometry (3)

Mathematical preliminaries; convex hull algorithms; intersection problems; closest-point problems and their applications. Prerequisite: CMPT 307 with a minimum grade of C-.

CMPT 407 - Computational Complexity (3)

Study of what is, and is not, efficiently computable with limited resources (time, space, randomness, parallelism, nondeterminism, interaction, and quantum). Complexity classes and connections among them. Interplay between complexity and algorithm design. Prerequisite: CMPT 307 with a minimum grade of C-. CMPT 308 is recommended.

Section Instructor Day/Time Location
Valentine Kabanets
May 8 – Aug 4, 2023: Wed, 11:30 a.m.–12:20 p.m.
May 8 – Aug 4, 2023: Fri, 10:30 a.m.–12:20 p.m.
Burnaby
Burnaby
CMPT 409 - Special Topics in Theoretical Computing Science (3)

Current topics in theoretical computing science depending on faculty and student interest. Prerequisite: CMPT 307 with a minimum grade of C-.

CMPT 476 - Introduction to Quantum Algorithms (3)

An introductory treatment of quantum computing with an emphasis on quantum algorithms. Topics include the gate model of quantum computation focusing on the design and implementation of quantum algorithms. Basic knowledge of algorithms and complexity will be an asset, but not required. No prior knowledge of physics or quantum mechanics is necessary, only a solid background in linear algebra. Prerequisite: MATH 232 or MATH 240, with a minimum grade of C-. Students who have taken CMPT 409 in Summer 2020 and 2021 under the title "Intro to Quantum Computing" may not take this course for further credit.

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

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

Table II – Application Courses

Currently no courses.

Table III – Computing Mathematics Courses

MACM 316 - Numerical Analysis I (3)

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

Section Instructor Day/Time Location
Jane MacDonald
May 8 – Aug 4, 2023: Mon, Wed, Fri, 10:30–11:20 a.m.
Burnaby
D101 May 8 – Aug 4, 2023: Wed, 2:30–3:20 p.m.
Burnaby
D102 May 8 – Aug 4, 2023: Wed, 3:30–4:20 p.m.
Burnaby
D103 May 8 – Aug 4, 2023: Wed, 4:30–5:20 p.m.
Burnaby
D104 May 8 – Aug 4, 2023: Thu, 9:30–10:20 a.m.
Burnaby
D105 May 8 – Aug 4, 2023: Thu, 10:30–11:20 a.m.
Burnaby
D106 May 8 – Aug 4, 2023: Thu, 11:30 a.m.–12:20 p.m.
Burnaby
D107 May 8 – Aug 4, 2023: Wed, 4:30–5:20 p.m.
Burnaby
MACM 401 - Introduction to Computer Algebra (3)

Data structures and algorithms for mathematical objects. Topics include long integer arithmetic, computing polynomial greatest common divisors, the fast Fourier transform, Hensel's lemma and p-adic methods, differentiation and simplification of formulae, and polynomial factorization. Students will use a computer algebra system such as Maple for calculations and programming. Prerequisite: CMPT 307 or ((MATH 340 or MATH 342) and (CMPT 225 or MACM 204)). Quantitative.

MACM 442 - Cryptography (3)

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

MATH 308 - Linear Optimization (3)

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

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

The integers, fundamental theorem of arithmetic. Equivalence relations, modular arithmetic. Univariate polynomials, unique factorization. Rings and fields. Units, zero divisors, integral domains. Ideals, ring homomorphisms. Quotient rings, the ring isomorphism theorem. Chinese remainder theorem. Euclidean, principal ideal, and unique factorization domains. Field extensions, minimal polynomials. Classification of finite fields. Prerequisite: MATH 240 with a minimum grade of C- or MATH 232 with a grade of at least B. Students with credit for MATH 332 may not take this course for further credit. Quantitative.

MATH 343 - Applied Discrete Mathematics (3)

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

Other Courses Per Department Approval

The following courses may be counted in one of the above tables with permission of the school.

CMPT 318 - Special Topics in Computing Science (3)

Special topics in computing science at the 300 level. Topics that are of current interest or are not covered in regular curriculum will be offered from time to time depending on availability of faculty and student interest. Prerequisite: CMPT 225 with a minimum grade of C-. Additional prerequisites to be determined by the instructor subject to approval by the undergraduate program chair.

CMPT 415 - Special Research Projects (3)

To be individually arranged. Prerequisite: Permission of Instructor and School.

Section Instructor Day/Time Location
TBD
TBD
TBD
TBD
TBD
TBD
TBD
TBD
TBD
CMPT 416 - Special Research Projects (3)

To be individually arranged. Prerequisite: Permission of the department.

Section Instructor Day/Time Location
TBD
TBD
TBD
CMPT 496 - Directed Studies (3)

Independent study in topics selected in consultation with the supervising instructor(s) that are not covered by existing course offerings. Students must submit a proposal to the undergraduate chair, including the name and signature of the supervising faculty member(s). The proposal must include details of the material to be covered and the work to be submitted. Prerequisite: Students must have completed 90 units, including 15 units of upper division CMPT courses, and have a GPA of at least 3.00. The proposal must be submitted to the undergraduate chair at least 15 days in advance of the term. The proposal must be signed by the supervisor(s) and the undergraduate chair.

Section Instructor Day/Time Location
TBD
TBD
CMPT 497 - Dual Degree Program Capstone Project (6)

Students will select one project to be completed in their final year of study. Each student must complete a project report and make a project presentation. The project may include: a research survey, a project implementation, a research paper/report. Prerequisite: Submission of a satisfactory capstone project proposal.

Section Instructor Day/Time Location
TBD
CMPT 498 - Honours Research Project (6)

Students must submit a proposal to the Undergraduate Chair, including the name and signature of the supervising faculty member(s). Students must complete a project report and make a project presentation. This course can satisfy the research project requirements for Computing Science honours students. Prerequisite: Students must have completed 90 units, including 15 units of upper division CMPT courses, and have a GPA of at least 3.00. The proposal must be submitted to the Undergraduate Chair at least 15 days in advance of the term. The proposal must be signed by the supervisor(s) and the undergraduate chair.

Section Instructor Day/Time Location
TBD
TBD
TBD

Writing, Quantitative, and Breadth Requirements

Students admitted to Ά‘ΟγΤ°AV 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 Ά‘ΟγΤ°AV 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.

Μύ

Residency Requirements and Transfer Credit

  • At least half of the program's total units must be earned through Ά‘ΟγΤ°AV study.
  • At least two thirds of the program's total upper division units must be earned through Ά‘ΟγΤ°AV study.

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

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 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.