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School of Computing Science | Faculty of Applied Sciences Simon Fraser University Calendar | Spring 2018

Computing Science Dual Degree

Master of Science

Students in this graduate dual degree program (GDDP), jointly developed by Simon Fraser University and Zhejiang University (ZJU), China, will acquire two graduate degrees. Graduates will receive a master of science (MSc) degree from Simon Fraser University, and a master of software engineering (MSE) degree from Zhejiang University. Students will study and conduct research at both universities.

The language of instruction at Simon Fraser University is English, while at Zhejiang University, it is either English and/or Chinese.

Admission Requirements

Students must be admitted to one university, and then apply and be admitted to the other university.

To qualify for admission, students must satisfy the usual admission requirements as specified by each university. The university of first admission will be referred to as the student's 'home' university. Students whose home university is Simon Fraser University are called SFU students while those whose home university is Zhejiang are called ZJU students.

Once admitted to the home university, the student may then apply for admission to the graduate dual degree program normally within 12 months of the date of admission to the home university graduate program. The program application requires the support and involvement of the student's supervisor at the home university. The graduate program committee at the home university decides whether or not to recommend the student for admission to the GDDP. A recommended individual's application will then be forwarded to the other partner university. Applicants must meet the admission requirements of that partner university.

Program Withdrawal

A student may withdraw from the GDDP master's program by transferring to the master's program at their home university at any time. The full academic record at the partner university may be used to determine standing at the home university. A student may withdraw by transferring to the master's program of the partner university only with permission of the graduate program committee of the partner university, considering the full records at both universities.

Time Limits

Under normal circumstances, the time limit to complete this program is within three calendar years, and no longer than six calendar years.

Supervisory Committee

Each student will be supervised by a supervisory committee consisting of a senior supervisor from either university and at least one faculty member from the other university.

Program Requirements

Simon Fraser University students complete a total of at least 23 units. ZJU students complete a total of at least 26 units.

From the list of courses approved for this program, at least nine units must be from Simon Fraser University and at least 10 units must be from Zhejiang University. All students complete at least one of

CMPT 705 - Design and Analysis of Algorithms (3)

The objective of this course is to expose students to basic techniques in algorithm design and analysis. Topics will include greedy algorithms, dynamic programming, advanced data structures, network flows, randomized algorithms. Students with credit for CMPT 706 may not take this course for further credit.

CMPT 710 - Computational Complexity (3)

This course provides a broad view of theoretical computing science with an emphasis on complexity theory. Topics will include a review of formal models of computation, language classes, and basic complexity theory; design and analysis of efficient algorithms; survey of structural complexity including complexity hierarchies, NP-completeness, and oracles; approximation techniques for discrete problems. Equivalent Courses: CMPT810.

2122001-2 Elements of the Theory of Computation (ZJU course)

To fulfil the program's breadth requirements, all students complete at least one course (of two or more units) from each of the four course groupings in Table 1 below. SFU students at Zhejiang University complete, in addition, the China Survey course. ZJU students complete courses 2122016 and 2124046. ZJU students complete at least an additional six units of social science courses as specified by Zhejiang University.

Table 1

Group I: Algorithms and Theory Credits

Courses at Simon Fraser University

CMPT 701 - Computability and Logic (3)

Deep connections between logic and computation have been evident since early work in both areas. More recently, logic-based methods have led to important progress in diverse areas of computing science. This course will provide a foundation in logic and computability suitable for students who wish to understand the application of logic in various areas of CS, or as preparation for more advanced study in logic or theoretical CS.

CMPT 705 - Design and Analysis of Algorithms (3)

The objective of this course is to expose students to basic techniques in algorithm design and analysis. Topics will include greedy algorithms, dynamic programming, advanced data structures, network flows, randomized algorithms. Students with credit for CMPT 706 may not take this course for further credit.

CMPT 710 - Computational Complexity (3)

This course provides a broad view of theoretical computing science with an emphasis on complexity theory. Topics will include a review of formal models of computation, language classes, and basic complexity theory; design and analysis of efficient algorithms; survey of structural complexity including complexity hierarchies, NP-completeness, and oracles; approximation techniques for discrete problems. Equivalent Courses: CMPT810.

CMPT 711 - Bioinformatics Algorithms (3)

Fundamental algorithmic techniques used to solve computational problems encountered in molecular biology. This area is usually referred to as Bioinformatics or Computational Biology. Students who have taken CMPT 881 (Bioinformatics) in 2007 or earlier may not take CMPT 711 for further credit.

CMPT 813 - Computational Geometry (3)

This course covers recent developments in discrete, combinatorial, and algorithmic geometry. Emphasis is placed on both developing general geometric techniques and solving specific problems. Open problems and applications will be discussed.

CMPT 814 - Algorithmic Graph Theory (3)

Algorithm design often stresses universal approaches for general problem instances. If the instances possess a special structure, more efficient algorithms are possible. This course will examine graphs and networks with special structure, such as chordal, interval, and permutation graphs, which allows the development of efficient algorithms for hard computational problems.

CMPT 815 - Algorithms of Optimization (3)

This course will cover a variety of optimization models, that naturally arise in the area of management science and operations research, which can be formulated as mathematical programming problems. Equivalent Courses: CMPT860.

Courses at Zhejiang University

2122001-2 Elements of the Theory of Computation

2122019-2 Advanced Formal Method

Group II: Systems

Courses at Simon Fraser University

CMPT 745 - Software Engineering (3)

This course examines fundamental principles of software engineering and state-of-the-art techniques for improving the quality of software designs. With an emphasis on methodological aspects and mathematical foundations, the specification, design and test of concurrent and reactive systems is addressed in depth. Students learn how to use formal techniques as a practical tool for the analysis and validation of key system properties in early design stages. Applications focus on high level design of distributed and embedded systems.

CMPT 765 - Computer Communication Network (3)

This course will cover the fundamentals and recent advances in computer communication networks. The emphasis will be on the design and analysis of networks, especially switching, routing, and network topology.

CMPT 771 - Internet Architecture and Protocols (3)

Investigates the design and operation of the global network of networks: the Internet. This course studies the structure of the Internet and the TCP/IP protocol suit that enables it to scale to millions of hosts. The focus is on design principles, performance modelling, and services offered by the Internet.

CMPT 777 - Formal Verification (3)

The goal of formal verification is to prove correctness or to find mistakes in software and other systems. This course 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 such as NuSMV.

CMPT 816 - Theory of Communication Networks (3)

This course investigates the design, classification, modelling, analysis, and efficient use of communication networks such as telephone networks, interconnection networks in parallel processing systems, and special-purpose networks. Equivalent Courses: CMPT881.

CMPT 886 - Special Topics in Operating Systems (3)

Section Instructor Day/Time Location
G100 Rob Cameron
Mo, We, Fr 9:30 AM – 10:20 AM
ASB 10900, Burnaby
G200 Keval Vora
Tu 12:30 PM – 1:20 PM
Th 12:30 PM – 2:20 PM
SWH 10051, Burnaby
AQ 4140, Burnaby

Courses at Zhejiang University

2122002-2 Advanced Operating System

2122003-2 Advanced Computer Architecture

2122016-2 System Design and Analysis

2124012-2 Grid Computing and Distributed Systems

2124016-2 Embedded Systems

2124028-2 Pervasive Computing

2124045-2 Network and Information Security

2124059-2 Multi-core Computing

2124070-2 Parallel Computer Architecture and Programming

2124072-2 Principles of Embedded System Design

Group III: Applications

Courses at Simon Fraser University

CMPT 721 - Knowledge Representation and Reasoning (3)

Knowledge representation is the area of Artificial Intelligence concerned with how knowledge can be represented symbolically and manipulated by reasoning programs. This course addresses problems dealing with the design of languages for representing knowledge, the formal interpretation of these languages and the design of computational mechanisms for making inferences. Since much of Artificial Intelligence requires the specification of a large body of domain-specific knowledge, this area lies at the core of AI. Prerequisite: CMPT 310/710 recommended. Cross-listed course with CMPT 411.

Section Instructor Day/Time Location
G100 James Delgrande
Mo 3:30 PM – 4:20 PM
We, Fr 3:30 PM – 4:20 PM
AQ 3005, Burnaby
RCB 8100, Burnaby
CMPT 726 - Machine Learning (3)

Machine Learning is the study of computer algorithms that improve automatically through experience. Provides students who conduct research in machine learning, or use it in their research, with a grounding in both the theoretical justification for, and practical application of, machine learning algorithms. Covers techniques in supervised and unsupervised learning, the graphical model formalism, and algorithms for combining models. Students who have taken CMPT 882 (Machine Learning) in 2007 or earlier may not take CMPT 726 for further credit.

CMPT 740 - Database Systems (3)

Introduction to advanced database system concepts, including query processing, transaction processing, distributed and heterogeneous databases, object-oriented and object-relational databases, data mining and data warehousing, spatial and multimedia systems and Internet information systems.

CMPT 741 - Data Mining (3)

The student will learn basic concepts and techniques of data mining. Unlike data management required in traditional database applications, data analysis aims to extract useful patterns, trends and knowledge from raw data for decision support. Such information are implicit in the data and must be mined to be useful.

CMPT 764 - Geometric Modelling in Computer Graphics (3)

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 464 or equivalent may not take this course for further credit.

CMPT 767 - Visualization (3)

Advanced topics in the field of scientific and information visualization are presented. Topics may include: an introduction to visualization (importance, basic approaches and existing tools), abstract visualization concepts, human perception, visualization methodology, 2D and 3D display and interaction and their use in medical, scientific, and business applications. Prerequisite: CMPT 316, 461 or equivalent (by permission of instructor). Students with credit for CMPT 878 or 775 may not take this course for further credit.

CMPT 820 - Multimedia Systems (3)

This seminar course covers current research in the field of multimedia computing. Topics include multimedia data representation, compression, retrieval, network communications and multimedia systems. Computing science graduate student or permission of instructor. Equivalent Courses: CMPT880.

CMPT 822 - Computational Vision (3)

A seminar based on the artificial intelligence approach to vision. Computational vision has the goal of discovering the algorithms and heuristics which allow a two dimensional array of light intensities to be interpreted as a three dimensional scene. By reading and discussing research papers - starting with the original work on the analysis of line drawings, and ending with the most recent work in the field - participants begin to develop a general overview of computational vision, and an understanding of the current research problems.

Section Instructor Day/Time Location
G100 Brian Funt
Mo 1:30 PM – 4:20 PM
AQ 5030, Burnaby
CMPT 823 - Formal Topics - Knowledge Representation (3)

This course surveys current research in formal aspects of knowledge representation. Topics covered in the course will centre on various features and characteristics of encodings of knowledge, including incomplete knowledge, non monotonic reasoning, inexact and imprecise reasoning, meta-reasoning, etc. Suggested preparation: a course in formal logic and a previous course in artificial intelligence.

CMPT 825 - Natural Language Processing (3)

In this course, theoretical and applied issues related to the development of natural language processing systems and specific applications are examined. Investigations into parsing issues, different computational linguistic formalisms, natural language syntax, semantics, and discourse related phenomena will be considered and an actual natural language processor will be developed.

CMPT 826 - Automated Learning and Reasoning (3)

This course covers topics shared both by AI and cognitive science. Current AI research papers are examined from the perspective of cognitive science, and vice versa. Topics covered in a given term will vary, depending upon the instructor, but most of the following topics will be addressed in any given term: connectionist models of intelligence; 'human-like' automated deduction; reasoning by analogy; topics in natural language; automated concept learning; and computational approaches to semantics. Prerequisite: At least one graduate or undergraduate AI course, or instructor's permission.

CMPT 827 - Intelligent Systems (3)

Intelligent systems are knowledge-based computer programs which emulate the reasoning abilities of human experts. This introductory course will analyze the underlying artificial intelligence methodology and survey advances in rule-based systems, constraint solving, incremental reasoning, intelligent backtracking and heuristic local search methods. We will look specifically at research applications in intelligent scheduling, configuration and planning. The course is intended for graduate students with a reasonable background in symbolic programming.

CMPT 829 - Special Topics in Bioinformatics (3)

Examination of recent literature and problems in bioinformatics. Within the CIHR graduate bioinformatics training program, this course will be offered alternatively as the problem-based learning course and the advanced graduate seminar in bioinformatics (both concurrent with MBB 829). Prerequisite: Permission of the instructor.

Section Instructor Day/Time Location
G100 Kay C Wiese
Tu 2:30 PM – 3:50 PM
Th 2:30 PM – 3:50 PM
WMC 3533, Burnaby
WMC 3535, Burnaby
G200 Maxwell Libbrecht
Mo, We, Fr 12:30 PM – 1:20 PM
AQ 5006, Burnaby
CMPT 843 - Database and Knowledge-base Systems (3)

An advanced course on database systems which focuses on data mining and data warehousing, including their principles, designs, implementations, and applications. It may cover some additional topics on advanced database system concepts, including deductive and object-oriented database systems, spatial and multimedia databases, and database-oriented Web technology.

Section Instructor Day/Time Location
G100 Jiannan Wang
We, Fr 9:30 AM – 10:50 AM
SECB 1011, Burnaby
CMPT 882 - Special Topics in Artificial Intelligence (3)

Section Instructor Day/Time Location
G100 Richard Vaughan
We, Fr 1:30 PM – 2:50 PM
AQ 5037, Burnaby
CMPT 888 - Special Topics in Computer Graphics, HCI, Vision and Visualization (3)

Examines current research topics in computer graphics, human computer interaction (including audio), computer vision and visualization.

Section Instructor Day/Time Location
G100 Parmit Kaur Chilana
Tu, Th 9:30 AM – 10:50 AM
WMC 3531, Burnaby
G200 Yasutaka Furukawa
Tu 1:30 PM – 2:20 PM
Th 12:30 PM – 2:20 PM
RCB 8100, Burnaby
BLU 10011, Burnaby
G300 KangKang Yin
Mo, We, Fr 1:30 PM – 2:20 PM
WMC 3253, Burnaby

Courses at Zhejiang University

2122020-4 Computer Graphics

2122021-2 Introduction to Computer Vision

2122022-2 Advanced Database Technology

2122023-2 Introduction to Artificial Intelligence

2124003-2 Computer Security

2124014-2 Advanced Software Engineering

2124017-2 The Fundamental Principles of Non-Photorealistic Computer Graphics

2124025-2 Electronic Business Technology

2124027-2 Computer Animation and its Application

2124044-2 Webservice Technology

2124057-2 High End Computing and Its Applications

2124060-2 Multimedia Computing

2124061-2 Network Multimedia Search Engine

2124062-2 Solid Modeling

2124063-2 Biologic Intelligence and Algorithm

2124064-2 Introduction to Machine Learning

2124065-2 Advanced Artificial Intelligence

2124066-2 Visualization in Scientific Computing

2124067-2 Speech and Language, Processing and Understanding

2124068-2 Image Processing and Modeling

2124069-2 Sensor Networks and Information Processing

2124073-2 Virtual Reality

2124074-2 HCI and Virtual Human

2124075-2 Data Mining

2124076-2 Services Computing

Group IV: Others

Courses at Simon Fraser University

CMPT 781 - Technical Communication (3)

Covers the fundamentals of technical communications and IT project management such as principles of technical communication, technical writing process and strategies, reports and business correspondence, project estimation and planning, project tracking and quality management, and project teamwork.

Courses at Zhejiang University

0711026-2 Bioinformatics Topics

2122014-2 Software Engineering Process Management

2124040-2 Software Engineering and Business English

2124041-2 Software Quality Assurance

2124042-2 Software Requirement Engineering

2124043-2 Software Engineering Case Analysis

2124046-2 Software Engineering Project Management

A Simon Fraser University course and a Zhejiang University course are deemed to be similar if the two courses overlap substantially. Students with credit for one of two similar courses may not complete the other course for further credit. Simon Fraser University's graduate program breadth committee and the corresponding Zhejiang University committee will decide on the list of similar courses.

Extended Essay Requirement

All students will complete two extended essays, one at each university. Consult the school website for current information.

Practicum Requirement

Students are required to complete a one-term co-operative education practicum or research/industry project at either Simon Fraser University or Zhejiang University.

Tuition Fees

When a student is resident at Simon Fraser University, the student pays per-unit tuition fees to Simon Fraser University. When a student is resident at Zhejiang University, the student pay tuition fees to Zhejiang University.