Ά‘ΟγΤ°AV

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| Ά‘ΟγΤ°AV Calendar | Spring 2015

Computing Science Minor

Ά‘ΟγΤ°AV Requirements

Ά‘ΟγΤ°AV is open to all Ά‘ΟγΤ°AV students with a major in a discipline other than computing science. Ά‘ΟγΤ°AV is competitive. The admission grade point average (GPA) is established each term, and will never be less than 2.40.

Prerequisite Grade Requirement

Computing science course entry requires a grade of C- or better in each prerequisite course. A minimum 2.40 cumulative grade point average (CGPA) is required for 200, 300 and 400 division computing courses.

Program Requirements

Lower Division Requirements

Students should normally complete 18-19 units including one of*

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: CMPT120. Co-requisite: CMPT127. Students with credit for CMPT 126, 128, 135 or CMPT 200 or higher may not take for further credit. Quantitative.

Section Instructor Day/Time Location
Jan 6 – Apr 13, 2015: Mon, Wed, Fri, 1:30–2:20 p.m.
Burnaby
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. This course provides a condensed version of the two-course sequence of CMPT 120/125, with the primary focus on computing science and object oriented programming. 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: BC Math 12 (or equivalent, or any of MATH 100, 150, 151, 154, or 157). Students with credit for CMPT 120, 125, 128, 130, 135 or higher may not take CMPT 126 for further credit. Quantitative/Breadth-Science.

Section Instructor Day/Time Location
Diana Cukierman
Jan 6 – Apr 13, 2015: Mon, Wed, 2:30–3:20 p.m.
Jan 6 – Apr 13, 2015: Fri, 2:30–3:20 p.m.
Burnaby
Burnaby
D101 Jan 6 – Apr 13, 2015: Fri, 10:30–11:20 a.m.
Burnaby
D102 Jan 6 – Apr 13, 2015: Fri, 10:30–11:20 a.m.
Burnaby
D103 Jan 6 – Apr 13, 2015: Fri, 11:30 a.m.–12:20 p.m.
Burnaby
D104 Jan 6 – Apr 13, 2015: Fri, 11:30 a.m.–12:20 p.m.
Burnaby
D105 Jan 6 – Apr 13, 2015: Fri, 12:30–1:20 p.m.
Burnaby
D106 Jan 6 – Apr 13, 2015: Fri, 12:30–1:20 p.m.
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.

Section Instructor Day/Time Location
Jan 6 – Apr 13, 2015: Mon, Wed, 10:30–11:20 a.m.
Jan 6 – Apr 13, 2015: Fri, 10:30–11:20 a.m.
Burnaby
Burnaby
D101 Jan 6 – Apr 13, 2015: Thu, 9:30–10:20 a.m.
Burnaby
D102 Jan 6 – Apr 13, 2015: Thu, 10:30–11:20 a.m.
Burnaby
D103 Jan 6 – Apr 13, 2015: Thu, 11:30 a.m.–12:20 p.m.
Burnaby
D104 Jan 6 – Apr 13, 2015: Thu, 12:30–1:20 p.m.
Burnaby
D105 Jan 6 – Apr 13, 2015: Thu, 1:30–2:20 p.m.
Burnaby
D106 Jan 6 – Apr 13, 2015: Thu, 2:30–3:20 p.m.
Burnaby
Jan 6 – Apr 13, 2015: Mon, Wed, Fri, 9:30–10:20 a.m.
Surrey
D201 Jan 6 – Apr 13, 2015: Fri, 10:30–11:20 a.m.
Surrey
D202 Jan 6 – Apr 13, 2015: Fri, 11:30 a.m.–12:20 p.m.
Surrey
D203 Jan 6 – Apr 13, 2015: Fri, 12:30–1:20 p.m.
Surrey
D204 Jan 6 – Apr 13, 2015: Fri, 1:30–2:20 p.m.
Surrey
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 one of CMPT 125, 126 or 128; or CMPT 128 and approval as a Biomedical Engineering Major. Students with credit for CMPT 201 may not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
David Mitchell
Jan 6 – Apr 13, 2015: Mon, Wed, Fri, 10:30–11:20 a.m.
Burnaby
D101 Jan 6 – Apr 13, 2015: Thu, 9:30–10:20 a.m.
Burnaby
D102 Jan 6 – Apr 13, 2015: Thu, 10:30–11:20 a.m.
Burnaby
D103 Jan 6 – Apr 13, 2015: Thu, 11:30 a.m.–12:20 p.m.
Burnaby
D104 Jan 6 – Apr 13, 2015: Thu, 12:30–1:20 p.m.
Burnaby
D105 Jan 6 – Apr 13, 2015: Thu, 1:30–2:20 p.m.
Burnaby
D106 Jan 6 – Apr 13, 2015: Thu, 2:30–3:20 p.m.
Burnaby
D107 Jan 6 – Apr 13, 2015: Thu, 3:30–4:20 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
Binay Bhattacharya
Jan 6 – Apr 13, 2015: Mon, Wed, Fri, 10:30–11:20 a.m.
Burnaby
D101 Jan 6 – Apr 13, 2015: Tue, 1:30–2:20 p.m.
Burnaby
D102 Jan 6 – Apr 13, 2015: Tue, 2:30–3:20 p.m.
Burnaby
D103 Jan 6 – Apr 13, 2015: Tue, 3:30–4:20 p.m.
Burnaby
D104 Jan 6 – Apr 13, 2015: Wed, 9:30–10:20 a.m.
Burnaby
D105 Jan 6 – Apr 13, 2015: Wed, 11:30 a.m.–12:20 p.m.
Burnaby
D106 Jan 6 – Apr 13, 2015: Wed, 12:30–1:20 p.m.
Burnaby
Binay Bhattacharya
Jan 6 – Apr 13, 2015: Mon, Wed, Fri, 3:30–4:20 p.m.
Burnaby
D201 Jan 6 – Apr 13, 2015: Wed, 1:30–2:20 p.m.
Burnaby
D202 Jan 6 – Apr 13, 2015: Wed, 2:30–3:20 p.m.
Burnaby
D203 Jan 6 – Apr 13, 2015: Wed, 4:30–5:20 p.m.
Burnaby
D204 Jan 6 – Apr 13, 2015: Thu, 9:30–10:20 a.m.
Burnaby
D205 Jan 6 – Apr 13, 2015: Thu, 10:30–11:20 a.m.
Burnaby
D206 Jan 6 – Apr 13, 2015: Thu, 11:30 a.m.–12:20 p.m.
Burnaby
Jan 6 – Apr 13, 2015: Mon, Wed, Fri, 1:30–2:20 p.m.
Surrey
D301 Jan 6 – Apr 13, 2015: Wed, 2:30–3:20 p.m.
Surrey
D302 Jan 6 – Apr 13, 2015: Wed, 3:30–4:20 p.m.
Surrey
D303 Jan 6 – Apr 13, 2015: Wed, 4:30–5:20 p.m.
Surrey
D304 Jan 6 – Apr 13, 2015: Wed, 5:30–6:20 p.m.
Surrey

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
Distance Education
Jamie Mulholland
Jan 6 – Apr 13, 2015: Mon, Tue, Wed, Fri, 8:30–9:20 a.m.
Burnaby
Zhaosong Lu
Jan 6 – Apr 13, 2015: Mon, Wed, Fri, 11:30 a.m.–12:20 p.m.
Jan 6 – Apr 13, 2015: Tue, 9:30–10:20 a.m.
Surrey
Surrey
OP01 TBD
OP02 TBD
MATH 151 - Calculus I (3)

Designed for students specializing in mathematics, physics, chemistry, computing science and engineering. Logarithmic and exponential functions, trigonometric functions, inverse functions. Limits, continuity, and derivatives. Techniques of differentiation, including logarithmic and implicit differentiation. The Mean Value Theorem. Applications of Differentiation including extrema, curve sketching, related rates, Newton's method. Antiderivatives and applications. Conic sections, 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 - 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 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.

Section Instructor Day/Time Location
Petr Lisonek
Jan 6 – Apr 13, 2015: Mon, Wed, Fri, 8:30–9:20 a.m.
Burnaby
OP01 TBD
MATH 157 - Calculus I for the Social Sciences (3) **

Designed for students specializing in business or the social sciences. Topics include: limits, growth rate and the derivative; logarithmic exponential and trigonometric functions and their application to business, economics, optimization and approximation methods; functions of several variables. Prerequisite: Pre-Calculus 12 (or equivalent) with a grade of at least B, or MATH 100 with a grade of at least C, or achieving a satisfactory grade on the 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
Stephen Choi
Jan 6 – Apr 13, 2015: Mon, Wed, Fri, 11:30 a.m.–12:20 p.m.
Burnaby
Jan 6 – Apr 13, 2015: Mon, Wed, Fri, 12:30–1:20 p.m.
Surrey
OP01 TBD
OP02 TBD

and one of

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.

Section Instructor Day/Time Location
Anthony Dixon
Jan 6 – Apr 13, 2015: Mon, Wed, Fri, 1:30–2:20 p.m.
Burnaby
D101 Jan 6 – Apr 13, 2015: Mon, 9:30–10:20 a.m.
Burnaby
D102 Jan 6 – Apr 13, 2015: Mon, 10:30–11:20 a.m.
Burnaby
D103 Jan 6 – Apr 13, 2015: Mon, 11:30 a.m.–12:20 p.m.
Burnaby
D104 Jan 6 – Apr 13, 2015: Mon, 12:30–1:20 p.m.
Burnaby
D105 Jan 6 – Apr 13, 2015: Mon, 2:30–3:20 p.m.
Burnaby
D106 Jan 6 – Apr 13, 2015: Mon, 3:30–4:20 p.m.
Burnaby
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: CMPT 225, MACM 101, MATH 151 (or MATH 150), one W course. MATH 154 or 157 with a grade of at least 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
Jan 6 – Apr 13, 2015: Mon, 5:30–8:20 p.m.
Burnaby

and one of

PHIL 100W - Knowledge and Reality (3)

An introduction to some of the central problems of philosophy. Topics to be discussed include the different theories of reality; the nature and sources of knowledge, truth, evidence, and reason; the justification of belief and knowledge about the universe. These topics and problems will be considered as they arise in the context of issues such as: relativism versus absolutism; the existence of God; personal identity; the nature of the mind and its relation to the body; free will and determinism; the possibility of moral knowledge. Open to all students. Students with credit for PHIL 100 may not take this course for further credit. Writing/Breadth-Humanities.

Section Instructor Day/Time Location
Jill McIntosh
Jan 6 – Apr 13, 2015: Mon, Wed, 11:30 a.m.–12:20 p.m.
Burnaby
D101 Jan 6 – Apr 13, 2015: Mon, 9:30–10:20 a.m.
Burnaby
D102 Jan 6 – Apr 13, 2015: Mon, 9:30–10:20 a.m.
Burnaby
D103 Jan 6 – Apr 13, 2015: Mon, 10:30–11:20 a.m.
Burnaby
D104 Jan 6 – Apr 13, 2015: Mon, 12:30–1:20 p.m.
Burnaby
D105 Jan 6 – Apr 13, 2015: Mon, 1:30–2:20 p.m.
Burnaby
D106 Jan 6 – Apr 13, 2015: Mon, 2:30–3:20 p.m.
Burnaby
D107 Jan 6 – Apr 13, 2015: Mon, 2:30–3:20 p.m.
Burnaby
D108 Jan 6 – Apr 13, 2015: Mon, 3:30–4:20 p.m.
Burnaby
D110 Jan 6 – Apr 13, 2015: Wed, 9:30–10:20 a.m.
Burnaby
D111 Jan 6 – Apr 13, 2015: Wed, 10:30–11:20 a.m.
Burnaby
D112 Jan 6 – Apr 13, 2015: Wed, 12:30–1:20 p.m.
Burnaby
D113 Jan 6 – Apr 13, 2015: Wed, 1:30–2:20 p.m.
Burnaby
D114 Jan 6 – Apr 13, 2015: Wed, 2:30–3:20 p.m.
Burnaby
D117 Jan 6 – Apr 13, 2015: Thu, 10:30–11:20 a.m.
Burnaby
D118 Jan 6 – Apr 13, 2015: Thu, 11:30 a.m.–12:20 p.m.
Burnaby
Michaela Lucas
Jan 6 – Apr 13, 2015: Fri, 10:30 a.m.–12:20 p.m.
Surrey
D901 Jan 6 – Apr 13, 2015: Fri, 12:30–1:20 p.m.
Surrey
D902 Jan 6 – Apr 13, 2015: Fri, 2:30–3:20 p.m.
Surrey
D903 Jan 6 – Apr 13, 2015: Fri, 3:30–4:20 p.m.
Surrey
PHIL 120W - Introduction to Moral Philosophy (3)

An introduction to the central problems of ethics: for example, the nature of right and wrong, the objectivity or subjectivity of moral judgments, the relativity or absolutism of values, the nature of human freedom and responsibility. The course will also consider general moral views such as utilitarianism, theories of rights and specific obligations, and the ethics of virtue. These theories will be applied to particular moral problems such as abortion, punishment, distributive justice, freedom of speech, and racial and sexual equality. Sometimes the course will also focus on important historical figures such as Plato, Aristotle, Kant and Mill. Open to all students. Students with credit for PHIL 120 may not take this course for further credit. Writing/Breadth-Humanities.

Section Instructor Day/Time Location
Dai Heide
Jan 6 – Apr 13, 2015: Mon, Wed, 3:30–4:20 p.m.
Burnaby
D101 Jan 6 – Apr 13, 2015: Mon, 12:30–1:20 p.m.
Burnaby
D102 Jan 6 – Apr 13, 2015: Mon, 1:30–2:20 p.m.
Burnaby
D103 Jan 6 – Apr 13, 2015: Mon, 2:30–3:20 p.m.
Burnaby
D104 Jan 6 – Apr 13, 2015: Mon, 2:30–3:20 p.m.
Burnaby
D105 Jan 6 – Apr 13, 2015: Tue, 9:30–10:20 a.m.
Burnaby
D106 Jan 6 – Apr 13, 2015: Tue, 10:30–11:20 a.m.
Burnaby
D107 Jan 6 – Apr 13, 2015: Tue, 11:30 a.m.–12:20 p.m.
Burnaby
D108 Jan 6 – Apr 13, 2015: Tue, 2:30–3:20 p.m.
Burnaby
D109 Jan 6 – Apr 13, 2015: Wed, 9:30–10:20 a.m.
Burnaby
D110 Jan 6 – Apr 13, 2015: Wed, 1:30–2:20 p.m.
Burnaby
D111 Jan 6 – Apr 13, 2015: Wed, 2:30–3:20 p.m.
Burnaby
D112 Jan 6 – Apr 13, 2015: Wed, 2:30–3:20 p.m.
Burnaby
James Martin
Jan 6 – Apr 13, 2015: Thu, 5:30–8:20 p.m.
Vancouver

any 100 division ENGL course

*to aid your choice, prior to enrolment, consult an Applied Sciences Advisor.

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

Upper Division Requirements

Students complete 15 units of upper division CMPT or MACM courses, including at least nine CMPT units chosen from Computing Science Concentrations as shown below.

A grade point average of 2.00 must be obtained for upper division courses.

Computing Science Concentrations

Artificial Intelligence

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. Students with credit for CMPT 410 may not take this course for further credit.

Section Instructor Day/Time Location
Oliver Schulte
Jan 6 – Apr 13, 2015: Mon, 12:30–1:20 p.m.
Jan 6 – Apr 13, 2015: Wed, Fri, 12:30–1:20 p.m.
Burnaby
Burnaby
Jan 6 – Apr 13, 2015: Wed, 4:30–7:20 p.m.
Surrey
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 CMPT 125, 126 or 128 (or 102 with a grade of B or higher).

Section Instructor Day/Time Location
Ghassan Hamarneh
Jan 6 – Apr 13, 2015: Mon, 2:30–4:20 p.m.
Jan 6 – Apr 13, 2015: Wed, 2:30–3:20 p.m.
Burnaby
Burnaby
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, and nine units in Computing upper division courses or permission of the instructor.

Section Instructor Day/Time Location
Brian Funt
Jan 6 – Apr 13, 2015: Mon, Wed, Fri, 1:30–2:20 p.m.
Burnaby
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 and nine units in CMPT upper division courses, or permission of the instructor.

Section Instructor Day/Time Location
Ze-Nian Li
Jan 6 – Apr 13, 2015: Mon, Wed, Fri, 12:30–1:20 p.m.
Burnaby
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.

CMPT 418 - Computational Cognitive Architecture (3)

Computationally-oriented theories of human cognitive architecture are explored, beginning with neurologically inspired (neural network) models of "low-level" brain processes, and progressing upwards to higher-level symbolic processing, of the kind that occurs in rule-following and problem solving. Arguments concerning the need for modular processing and combinatorially adequate forms of mental representation are examined at length. Prerequisite: CMPT 225. Recommended: CMPT 310.

CMPT 419 - Special Topics in Artificial Intelligence (3)

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

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.

Section Instructor Day/Time Location
Ping Tan
Jan 6 – Apr 13, 2015: Mon, 12:30–2:20 p.m.
Jan 6 – Apr 13, 2015: Wed, 12:30–1:20 p.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.

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
Jiangchuan Liu
Jan 6 – Apr 13, 2015: Mon, Wed, 9:30–10:20 a.m.
Jan 6 – Apr 13, 2015: Fri, 9:30–10:20 a.m.
Burnaby
Burnaby
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 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. Students with credit for CMPT 469 between 2003 and 2007 or equivalent may not take this course for further credit.

Section Instructor Day/Time Location
Richard Zhang
Jan 6 – Apr 13, 2015: Tue, 2:30–4:20 p.m.
Jan 6 – Apr 13, 2015: Thu, 2:30–3:20 p.m.
Burnaby
Burnaby
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.

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.

CMPT 468 - Introduction to Computer Music and Sound Synthesis (3)

An introduction to the fundamentals of digital audio, computer music, basic sound synthesis algorithms, and digital audio effects and processing. Topics include concepts of sound and digital audio representation, basic concepts of digital filtering, fundamentals of spectrum analysis, and sound synthesis techniques. Understanding of theoretical concepts will be consolidated through practical programming assignments in Matlab, however there will also be exposure to various freeware real-time audio programming and sound editing environments. Prerequisite: MATH 152 and one of CMPT 125, 126 or 128 (or permission of instructor).

CMPT 469 - Special Topics in Computer Graphics (3)

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

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 MACM 101.

Section Instructor Day/Time Location
Jan 6 – Apr 13, 2015: Mon, Wed, Fri, 12:30–1:20 p.m.
Surrey
Jan 6 – Apr 13, 2015: Thu, 5:30–8:20 p.m.
Burnaby
CMPT 305 - Computer Simulation and Modelling (3)

This course is 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, STAT 270.

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/ENSC 150 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
Jan 6 – Apr 13, 2015: Mon, 2:30–4:20 p.m.
Jan 6 – Apr 13, 2015: Wed, 2:30–3:20 p.m.
Surrey
Surrey
Jan 6 – Apr 13, 2015: Tue, 5:30–8:20 p.m.
Vancouver
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, (CMPT 150 or ENSC 215) and CMPT 225.

Section Instructor Day/Time Location
Jan 6 – Apr 13, 2015: Mon, Wed, Fri, 4:30–5:20 p.m.
Surrey
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. Students with credit for CMPT 401 before September 2008 may not take this course for further credit.

Section Instructor Day/Time Location
Jan 6 – Apr 13, 2015: Mon, 12:30–2:20 p.m.
Jan 6 – Apr 13, 2015: Wed, 12:30–1:20 p.m.
Surrey
Surrey
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 250, 300.

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.

Section Instructor Day/Time Location
Qianping Gu
Jan 6 – Apr 13, 2015: Mon, Wed, Fri, 9:30–10:20 a.m.
Burnaby
CMPT 479 - Special Topics in Computing Systems (3)

Current topics in computing systems depending on faculty and student interest. Prerequisite: CMPT 401 or 431.

CMPT 499 - Special Topics in Computer Hardware (3)

Current topics in computer hardware depending on faculty and student interest. Prerequisite: CMPT/ENSC 250.

Information Systems

CMPT 301 - Information Systems Management (3)

Topics include strategic planning and use of information systems, current and future technologies, technology assimilation, organizational learning, end-user computing, managing projects and people, managing production operations and networks, evaluating performance and benefits, crisis management and disaster recovery, security and control, financial accountability, and proactive management techniques for a changing environment. Prerequisite: CMPT 225.

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, MACM 101.

Section Instructor Day/Time Location
Jan 6 – Apr 13, 2015: Mon, Wed, Fri, 10:30–11:20 a.m.
Burnaby
CMPT 370 - Information System Design (3)

This course focuses on the computer-related problems of information system design and procedures of design implementation. Well-established design methodologies will be discussed, and case studies will be used to illustrate various techniques of system design. Prerequisite: CMPT 275 or 276; CMPT 354.

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. 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.

Section Instructor Day/Time Location
Ke Wang
Jan 6 – Apr 13, 2015: Tue, 10:30–11:20 a.m.
Jan 6 – Apr 13, 2015: Thu, 9:30–11:20 a.m.
Burnaby
Burnaby
Jan 6 – Apr 13, 2015: Mon, Fri, 9:30–10:20 a.m.
Jan 6 – Apr 13, 2015: Wed, 9:30–10:20 a.m.
Surrey
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.

CMPT 459 - Special Topics in Database Systems (3)

Current topics in database and information systems depending on faculty and student interest. Prerequisite: CMPT 354.

CMPT 470 - Web-based Information Systems (3)

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

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.

Section Instructor Day/Time Location
Jan 6 – Apr 13, 2015: Mon, Wed, Fri, 10:30–11:20 a.m.
Surrey

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. Students with credit for CMPT 475 may not complete this course for further credit.

CMPT 375 - Mathematical Foundations of Software Technology (3)

Abstraction principles and formalization techniques for modelling software systems in early design phases. Design is a creative activity calling for abstract models that facilitate reasoning about the key system attributes to ensure that these attributes are properly established prior to actually building a system. The focus is on specification and validation techniques rather than on formal verification. Prerequisite: MACM 101, 201. Recommended: CMPT 275.

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, MACM 101.

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; MACM 101.

CMPT 473 - Software Quality Assurance (3)

Factors in software quality include functionality, reliability, usability, efficiency, maintainability, and portability. Techniques for assessing the quality of software with respect to such factors, and methods for improving the quality of both software products and software development processes. Prerequisite: CMPT 373.

CMPT 475 - Software Engineering II (3)

Students will study in-depth the techniques, tools and standards needed in the management of software development. Topics will include software process and quality standards, life cycle models, requirements specification issues, project estimation, planning and tracking, project management tools, team dynamics and management, configuration and change management techniques and tools, metrics, quality assurance and test techniques, professional and legal issues. Prerequisite: CMPT 275 or 276 and 15 units of upper division courses. Recommended: co-op experience. Students with credit for CMPT 373 may not take this course for further credit.

Section Instructor Day/Time Location
Jan 6 – Apr 13, 2015: Thu, 5:30–8:20 p.m.
Vancouver
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.

CMPT 489 - Special Topics in Programming Language (3)

Current topics in programming languages depending on faculty and student interest. Prerequisite: CMPT 383.

Theoretical Computing Science

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
Pavol Hell
Jan 6 – Apr 13, 2015: Tue, 2:30–4:20 p.m.
Jan 6 – Apr 13, 2015: Thu, 2:30–3:20 p.m.
Burnaby
Burnaby
CMPT 308 - Computability and Complexity (3)

This course introduces students to formal models of computations such as Turing machines and RAMs. Notions of tractability and intractability are discusses both with respect to computability and resource requirements. The relationship of these concepts to logic is also covered. Prerequisite: MACM 201.

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. CMPT 307 and 308 are recommended.

Section Instructor Day/Time Location
Andrei Bulatov
Jan 6 – Apr 13, 2015: Mon, Wed, Fri, 3:30–4:20 p.m.
Burnaby
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.

Section Instructor Day/Time Location
Petra Berenbrink
Jan 6 – Apr 13, 2015: Mon, Wed, Fri, 10:30–11:20 a.m.
Burnaby
CMPT 407 - Computational Complexity (3)

Machine models and their equivalences, complexity classes, separation theorems, reductions, Cook's theorem, NP-completeness, the polynomial time hierarchy, boolean circuit models and parallel complexity theory, other topics of interest to the students and instructor. Prerequisite: CMPT 307.

Section Instructor Day/Time Location
Valentine Kabanets
Jan 6 – Apr 13, 2015: Tue, 1:30–2:20 p.m.
Jan 6 – Apr 13, 2015: Thu, 12:30–2:20 p.m.
Burnaby
Burnaby
CMPT 408 - Theory of Computing Networks/Communications (3)

Network design parameters and goals, dynamic networks and permutations, routing in direct networks, structured communication in direct networks, other topics of interest to the students and instructor. Prerequisite: CMPT 307 and 371.

CMPT 409 - Special Topics in Theoretical Computing Science (3)

Current topics in theoretical computing science depending on faculty and student interest. Prerequisite: CMPT 307.

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.

Co-operative Education and Work Experience

All computing science students are strongly encouraged to explore the opportunities that Work Integrated Learning (WIL) can offer. Please contact a 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.

Residency Requirements and Transfer Credit

The University's residency requirement stipulates that, in most cases, total transfer and course challenge credit may not exceed 60 units, and may not include more than 15 units as upper division work.

  • 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
  • at least two thirds of the upper division units in the courses of a school offering (or joint offering) must be earned through that school at Ά‘ΟγΤ°AV

For information regarding transfer, consult an