1. SCUP 10-46
  1. Proposal for the Dual Master's Degree Program (GDDP Master)
    1. School of Computing Science
      1. Admission
  2. Proposal for the Dual PhD Degree Program (GDDP PhD)
    1. School of Computing Science

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SCUP 10-46
I
TO Senate Committee on Universit Priorities
FROM Wade Parkhouse, Dean, Graduate Studies
I
RE Faculty Applied Sciences: Full Program Proposal SFU/ZU
Graduate Dual De ree in Com utin Science OS20 1 0.09
CC R .. Cameron
I
DATE June 16,2010
Faculty of Applied Sciences
[GS2010.09]
School of
Computin~
Science
SFU/ZU Graduate Dual Degree Program in COlnputing Science
a. MSc Proposal- SFU/ZU GDDP
h
.
PhD Proposal- SFU/ZU GODP
At its meeting of 14 June 2010, SGSC approved the full program proposal for
the:
a) graduate dual degree masters program in Computing Science and is
recommending it to SCUP.
h)
graduate dual degree doctoral program in Computing Science and is
recommending it to seup
.
SFU/ZlJ Dual Dqrree- Tilndines:
April 12,
2010 - NC)J approved. sese rCCOn1J11Cl1l1s to SCUP
May 5, 2010 - SCUP approves N()I (SCUt> 10-40)
May 10, 2010 -SGSC reviews the Full Progran1 Proposal and reCOllllTIends
changes
May 28, 2010 - SGSe receives revised Full Program Proposal
June 14, 2010 -Full Progranl Proposal approved
.
sese recommends it to
SCUP
2
SIMON FRASElt tiNIVERSJTY
THINKING OF THE WORLD

SFU-ZU Graduate Dual Degree Programs (GDDP)
Executive Summary
May 27,2010
• The School of Computing Science at SFU proposes to offer graduate dual degree
programs (GDDP) in Computing
Science to be delivered jointly by SFU and Zhejiang
University
(ZU), China.
• The proposed GDDP includes a PhD program, leading to a PhD in Computing Science
from SFU and a PhD in Computer Science from ZU. This program is to be offered with per-
semester tuition fees at SFU.
The GDDP also includes a Master program, leading to a MSc in Computing Science from
SFU and a Master of Software Engineering from ZU. This program is to be offered with per-
credit tuition fees at SFU.
In both programs, students will study and do research at both SFU and ZU and be
supervised
by faculty members from both universities. Essentially, students will complete
half of the required course content at each institution, complete either two extended essays
(masters), comprehensive examinations (doctoral), and write one dissertation. Thus
students will meet the normal requirements for a graduate degree in either university
(SFU
students do not complete all the requirements for a PhD at ZU if they start with a BSc), and
in addition, are expected to adjust
to the new ways of thinking, learning, and research at
both universities, and
to meet the thesis and publication requirements at both universities.
Students are also expected to meet additional language requirements.
• The working language at SFU is English. Students may work in English at either university.
Students who prefer to do so may work in Chinese at ZU.
The intended start date of both programs is September 2010.
Rationale
Developing jointly awarded graduate degrees with international partners is intended to foster
internationalization
of graduate research programs and enhance student mobility and exchange -
3

both key drivers in the globalization of research education. Collaborative degree programs such as
this one
should lead to a more sustainable type of relationship than many other internationalization
strategies and bring important academic benefits. The benefits include: international student
mobility;
knowledge transfer; international research collaboration; recognition of partner university
qualifications
in other countries; employment prospects for students; research as a career for high
caliber students; enhanced recruitment
of excellent graduate students; access to additional sources
of student financial support.
ZU is chosen as the partner for the proposed GDDP programs because of the quality of students
and research at
ZU, and the strong collaborations in both teaching and research between SFU and
ZU. ZU is ranked among the top 3 universities in China and recruits excellent students. The quality
of PhD dissertations in Computer Science at ZU is at the similar level as that in Computing Science
at SFU. The research
in many IT application areas at ZU is at top level in the world while SFU is
strong
in the theory and methodology. The proposed GDDP programs take advantage of the
combined strengths
of both universities. SFU and ZU are jointly offering an undergraduate dual
degree program (DDP) in Computing Science. The DDP has attracted about 30 students from ZU
annually.
Many of these students have excellent academic performance and are interested in the
graduate programs at top universities. We expect that the GDDP
will attract top DDP students and
outstanding
ZU graduate students. We expect that the strong research in IT application areas at ZU
will attract graduate students from Canadian side to join the GDDP. These programs are expected
to prepare graduates to
lead research and development in both academy and industry. These
graduates will have a unique background with experience in research, teaching, and R\&D in both
Canada and China.

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Proposal for the Dual Master's Degree Program (GDDP Master)
School of Computing Science
July 12, 2010
This proposed program will serve students from Simon Fraser University (SFU) and students
from Zhejiang
University (ZU). The students will study and do research/industry projects in the
School of Computing Science at SFU and in the College of Software Technology at zu.
Students will be supervised by faculty members from both schools as described below.
In
addition to meeting all of the normal requirements for a master's degree in either university,
students are expected to adjust to
the new ways of thinking, learning, and research at both
universities. Essentially, students complete half of the required course content at each
institution, and are expected
to meet the extended essay and practicum requirements at both
universities. Students are also expected to meet additional language requirements.
The working
language at
SFU will be English. Students may work in English at either University. Students
who prefer to do so may work in Chinese at ZU. At the completion of the program, each student
will receive two parchments, an
MSc in Computing Science from SFU and a Master of
Software Engineering (MSE) from ZU. Neither parchment will formally acknowledge the work
completed at the other institution.
The program is anticipated to start
in September 2010, subject to approval from both SFU and
ZU.
We expect that the program will admit up to 15 students annually initially. The School of
Computing Science has enough capacity to take those students.
Under normal circumstances, the time for completing the program is within 3 calendar years
and no longer than 6 calendar years.
The average completion time of regular MSc students at SFU in Computing Science is about
2.5 years and no longer than 6 calendar years. (These numbers are based
on students completing
during the past year.)
Admission
Students must be admitted to one institution, and then apply, and be admitted to the other
institution. To qualify for admission
to the GDDP programs, students must satisfy the usual
admission requirements specified
by each university. The university of first-admission will be
referred to as the student's "home" university. Students with SFU as their home university are
called
SFU students and students with ZU as their home university are called ZU students
below.

Admission to the GDDP
Once admitted to the home university, the student may then apply to be admitted to the GDDP.
This should normally
be done within 12 months of the starting date of the MSc or MSE
program. The 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. Recommended individual's
applications will then forwarded to the other (or
"partner") university. The student must meet
the admission requirements
of the other (or "partner") university.
Supervisory Committees
Each GDDP Master student will be supervised by a supervisory committee consisting of a
senior supervisor from the school/college at either university, and at least one faculty member
from the school/college at the partner university.
Course Requirements
SFU students are required to complete a total of at least 23 credits. ZU students are required to
complete a total
of at least 26 credits.
Breadth Requirements
Students are required to complete at least 20 credits to demonstrate breadth in Computing
Science. The courses taken must satisfy the following breadth requirements.
A list
of graduate courses offered at SFU and at ZU is given at the end of this document.
In
this
list, the courses are classified into four groups.
All students are required to complete at least
20 credits from the courses in the four groups. Of
those credits, at least 9 credits must be from SFU and at least 10 credits must be from ZU. All
students must complete at least one course in each of the four groups and at least one of these
courses must
be chosen from CMPT 705, CMPT 710, and 2122001. ZU students are also
required to complete courses
2122016 and 2124046.
A course at SFU and a course at ZU are called similar if the two courses overlap substantially.
Students with credits from one course
of two similar courses may not take the other course for
further credits. The graduate program breadth committee at
SFU and the corresponding
committee at
ZU will be responsible to determine the list of similar courses.
Social Sciences and Language Course Requirements
In
addition to the credits required above for the breadth requirement, courses in social sciences
andlor language studies are required.
SFU students must complete 3 credits from the course China Survey at ZU.
2

ZU students must complete at least 6 credits of social science courses specified by ZU.
Practicum Requirement
Students are required to complete a one-semester Co-op practicum or research/industry project
at either
SFU or ZU. The practicum at SFU normally will be arranged by the CS Co-op office.
Students may complete a research project with faculty members at either university for the
practicum. Students will
be remunerated for their practicum through Co-op or research
assistance.
Extended Essay Requirement
Each student is required to complete an extended essay in English at SFU. The extended essay
normally will be a report on a research/industry project or a survey on a specific topic in
information technology. The normal length of the SFU essay will be 15-30 pages and no longer
than
40 pages. The topics and the scope of the SFU essay will be determined in consultation
with the supervisory committee. The work load
of the SFU essay normally is equivalent to that
for 3 units
ofSFU graduate course work and the essay is given 3 credits. The SFU essay will be
evaluated with P or F grades by the student's SFU supervisor.
Each student is required to complete an extended essay in either English
or Chinese at ZU. If
the extended essay is written
in
Chinese, the student is required to provide an English
translation. The
ZU extended essay normally will be a report on a research/industry project or a
survey on a specific topic in information technology. The topics and the scope of the ZU essay
will
be determined in consultation with the supervisory committee. The length of the ZU essay
will follow the guidelines
ofZU. The ZU essay is treated as a project report by ZU and is
evaluated based on
ZU's regulations. Students are required to submit the ZU essay to the ZU
library.
Intellectual Property (lP) and Copyright
The SFU IP policy applies to the GDDP students as it does to other regular SFU students. For
more details
of the policy, please refer to the SFU Policies and Procedures R30.03.
The author of an extended essay retains the copyright of the essay. The author of an extended
essay at
ZU is required to fill out agreements to give partial rights to the ZU library.
The author retains the copyright in the essay, including the right to change the work for
subsequent purposes such as editing and publishing the work in whole or in part, and licensing
other parties, as the author may desire. (Please refer to SFU's Library Partial Copyright License
and Library and Archives Canada's Thesis Non-Exclusive License for details.)
Students should consult with their supervisory committees to avoid possible copyright conflicts.
GDDP Master Residency Requirement
3

Students are expected to study at both SFU and ZU. All students are required to complete at
least 9 course credits and an extended essay at
SFU. SFU students are required to complete at
least
13 course credits and an extended essay at ZU. ZU students are required to complete at
least
16 course credits and an extended essay at ZU.
Withdrawal from GDDP
A student may withdraw from the GDOP program by transferring to the Master's program of
the 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 academic records at both universities.
Tuition and Funding
Financial support for students is not guaranteed. Students will pay per-unit tuition fees (at the
same level as for the MEng program) at
SFU. The minimum number of SFU credits required by
this program is 12 (9 course credits and 3 essay credits). Students pay tuition fees to ZU
specified by
W
for those semesters registered at ZU.
Student Service
When a student is a resident of SFU or ZU, the student will receive the same services as those
for the regular students at SFU or ZU, respectively. The GDDP office at SFU may provide
additional consultation for students on issues related to SFU.
Graduate Courses
Graduate courses offered by SFU and ZU are listed in four groups.
Group I Courses: Algorithms and Theory
Courses at SFU:
CMPT 701-3
Computability and Logic
CMPT 705-3 Design and Analysis of Algorithms
CMPT 710-3 Computational Complexity
CMPT 711-3 Bioinformatics Algorithms
CMPT 813-3 Computational Geometry
CMPT 814-3 Algorithmic Graph Theory
CMPT 815-3 Algorithms
of Optimization
CMPT 881-3
Special Topics in Theoretical Computing Science
Courses at ZU:
4

2122001-2
2122019-2
Elements of the Theory of Computation
Advanced Fonnal Method
Group II Courses: Systems
Courses at SFU:
CMPT 730-3 Programming Language
CMPT 731-3 Functional Programming
CMPT 745-3
Software Engineering
CMPT 755-3 Compiler Theory
CMPT 760-3 Operating Systems
CMPT
765-3 Computer Communication Networks
CMPT 771-3 Internet Architecture and Protocols
CMPT 777-3 Formal Verification
CMPT 816-3 Theory
of Communication Networks
CMPT 885-3
Special Topics in Computer Architecture
CMPT 886-3
Special Topics in Networks, Software
Courses at ZU:
2122002-2
2122003-2
2122016-2
2124012-2
2124016-2
2124028-2
2124045-2
2124059-2
2124070-2
2124072-2
Advanced Operating System
Advanced Computer Architecture
System Design and Analysis
Grid Computing and Distributed
Systems
Embedded Systems
Pervasive Computing
Network and Information
Security
Multi-core Computing
Parallel Computer Architecture and Programming
Principles
of Embedded System Design
Group III Courses: Applications
Courses at SFU:
CMPT
721-3 Knowledge Representation and Reasoning
CMPT 725-3 Logical Methods in Computational Intelligence
CMPT 726-3 Machine Learning
CMPT 823-3 Fonnal Topics in Knowledge Representation
CMPT 825-3 Natural Language
Processing
CMPT 826-3 Automated Leaming and Reasoning
CMPT 827-3 Intelligent Systems
CMPT 882-3 Special Topics
in
Artificial Intelligence
5

CMPT 505-3 Problem based Learning in Bioinformatics
CMPT
740-3 Database Systems
CMPT 741-3 Data Mining
CMPT 829-3 Special Topics in Bioinformatics
CMPT 842-3 Concurrency Control in Database
Systems
CMPT 843-3 Database and Knowledge-Base Systems
CMPT
844-3 Special Topics in Database Systems
CMPT 761-3 Image Synthesis
CMPT 764-3 Geometric Modeling
in Computer Graphics
CMPT 767-3 Visualization
CMPT 773-3 Use-Interface Design
CMPT 820-3 Multimedia Systems
CMPT
821-3 Robot Vision
CMPT 822-3 Computational Vision
CMPT 888-3 Special Topics in Computer Graphics, HCI, Vision, and Visualization
Courses at
ZU:
2122020-4
2122021-2
2122022-2
2122023-2
2124003-2
2124014-2
2124017-2
2124025-2
2124027-2
2124044-2
2124057-2
2124060-2
2124061-2
2124062-2
2124063-2
2124064-2
2124065-2
2124066-2
2124067-2
2124068-2
2124069-2
2124073-2
2124074-2
2124075-2
2124076-2
Computer Graphics
Introduction to Computer Vision
Advanced Database Technology
Introduction to Artificial Intelligence
Computer
Security
Advanced Software Engineering
The Fundamental Principles
of Non-Photorealistic Computer Graphics
Electronic Business Technology
Computer Animation and its Applications
Web service Technology
High End Computing and Its Applications
Multimedia Computing
Network Multimedia Search Engine
Solid Modeling
Biologic Intelligence and Algorithms
Introduction to Machine Learning
Advanced Artificial Intelligence
Visualization in Scientific Computing
Speech and Language, Processing and Understanding
Image Processing and Modeling
Sensor Networks and Information Processing
Virtual Reality
HCI and Virtual Human
Data Mining
Services Computing
Group IV Courses: Others
6

Courses at SFU:
CMPT 781-3 Technical Communication and IT Project Management
Courses at
ZU:
0711026-2
2122014-2
2124040-2
2124041-2
2124042-2
2124043-2
2124046-2
Bioinformatics Topics
Software Engineering Process Management
Software Engineering and Business English
Software Quality Assurance
Software Requirement Engineering
Software Engineering Case Analysis
Software Engineering Project Management
7

Back to top


Proposal for the Dual PhD Degree Program (GDDP PhD)
School of Computing Science
July 12,2010
This proposed program will serve students from Simon Fraser University (SFU) and students
from Zhejiang University
(ZU). The students will study and do research in the School of
Computing Science at SFU and in the College of Computer Science and Technology at ZU.
Students
will be supervised by faculty members from both schools.
In
addition to meeting the
normal requirements for a
PhD degree in either university (SFU students do not complete all
the requirements for a
PhD at ZU if they start with a BSc), students are expected to adjust to the
new ways
of thinking, learning, and research at both universities. Specifically, students will
complete essentially
half of the required course content at each institution, complete depth and
thesis proposal examinations, and write one dissertation under the direction
of supervisors from
both institutions. The
PhD thesis will be examined based on the regulations of both universities
and is expected to meet the requirements
of both universities. Students are also expected to
meet additional language requirements. The working language at
SFU will be English. Students
may work in English at either University. Students who prefer to do so may work in Chinese at
ZU. At the completion of the program, students will receive PhD degrees from both schools.
The College
of Computer Science and Technology at ZU has a very strong PhD program. More
than
70 students in that program were conferred PhD degrees in Computer Science last year.
In
some IT application areas, the research in ZU's program is at top level in the world. For
example, Computer Graphics is an important area in IT. The publication
of a top ZU PhD
student working on Computer Graphics is comparable to that of top students in top universities
such as MIT,
Stanford, and so on. The average quality of the PhD dissertations in ZU's program
is at a similar level as that
in the Computing Science PhD program at SFU.
SFU
and ZU are jointly offering the undergraduate dual degree program (DDP). DDP has
attracted a large number
of excellent ZU students. The high quality of teaching and research at
SFU is appreciated by the DDP students and ZU. The demand from ZU graduate students and
DDP students (they are also SFU students) is strong. The GDDP has not been formally
promoted and advertised at Canadian side. Informally, a few students enrolled in the
Computing
Science graduate program have shown interests to join the GDDP. We expect the
strong research
of ZU in some IT application areas such as Computer Graphics will attract good
graduate students from Canadian side.
The program is anticipated to start in September
2010, subject to approval from both SFU and
ZU.
We expect that the program will admit 5 to 6 students annually. The School of Computing
Science has enough capacity to take those students.

Under normal circumstances, the time for completing the program is within 6 calendar years for
students with only a
B.Sc. degree and within 4 years for students who already hold an MSc
degree
in
Computing Science or a related field. For any student, the program should be
completed within 8 calendar years.
The average completion time for regular PhD students (most of them with an MSc degree) at
SFU in Computing Science is about 5 calendar years in average and no longer than 8 calendar
years. (These numbers are based
on students completing during the past year.)
At the completion of the PhD program, each student will receive two parchments, a PhD in
Computing
Science from SFU and a PhD in Computer Science from ZU. Neither parchment
will formally acknowledge the work completed at the other institution.
Admission
Students must be admitted to one institution, and then apply, and be admitted to the other
institution. To qualify for admission to the
GDDP programs, students must satisfy the usual
admission requirements specified
by each university. The university of first-admission will be
referred to as the student's "home" university. Students with SFU as their home university are
called
SFU students and students with ZU as their home university are called ZU students
below.
Admission to the GDDP
Once admitted to the home university, the student may then apply to be admitted to the GDDP.
This should be completed as soon as possible but normally within 18 months of the starting date
of the PhD program. The application requires the support and involvement of the student's
senior 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. If
recommended, the application is then forwarded to the other (or "partner") university. The
student and the senior supervisor must identify a co-senior supervisor at the partner university.
The student must meet the admission requirements
of the other (or "partner") university.
Student Supervision
Each GDDP student will be supervised by a supervisory committee consisting of a senior
supervisor and another faculty member from the school/college at the home university, a co-
senior supervisor and another faculty member from the school/college at the partner university.
The senior supervisor at the home university is designated as the primary supervisor for the
administrative purpose.
Each student is required to have an annual progress evaluation by the supervisory committee.
The supervisory committee is expected to meet normally at least once annually. The meetings
may
be in a form using new media such as Internet for communication.
2

Breadth Requirements
Students without a master's degree in Computing Science are required to complete at least 24
credits to demonstrate breadth in Computing Science. Students with a master's degree in
Computing Science or the equivalent are required to complete at least 12 credits to demonstrate
breadth in Computing Science. A list
of graduate courses offered at SFU and at ZU is given at
the end
of this document.
In
this list, the courses are classified into three groups (Group I:
Algorithms and Theory, Group II: Systems, and Group III: Applications). The courses taken
must satisfy the breadth requirements specified below.
• SFU students without an MSc in Computing Science or an equivalent must complete
at least 12 credits at each university.
Of those credits, at least 9 from each university
must
be taken from the courses listed in Groups I, II, and III. At ZU, the approval of the
student's supervisor and the graduate program director at
ZU are required for the student
to take courses not listed
in Groups I, II, and III.
• SFU students with an MSc in Computing Science or an equivalent must complete at
least 6 credits at each university from the courses listed in Groups I, II, and III.
• ZU students without an MSc in Computing Science or an equivalent must complete at
least
12 credits at SFU and at least 14 credits at ZU. Of those credits, all but three from
SFU must be taken from the courses listed in Groups I, II, and III. At ZU, these students
must complete courses
2111001, 2111002, 2112001, and at least four additional ZU
courses in Groups I, II, and III.
• ZU students with an MSc in Computing Science or an equivalent must complete at
least 6 credits at each university from the courses listed in Groups
I, II, and III. At
ZV,
these students must complete courses 2111001, 2111002, 2112001.
• All students must complete at least one course in each of the groups and at least one of
these courses must be chosen from CMPT 705, CMPT 710, and 2122001.
At most two Special Topics courses at SFU (two ofCMPT 829, 881, 882, 885, 886, 888)
may be used to meet the breadth requirement, except with the permission from the
graduate program director at SFU.
• All ZU students must complete additional research seminars as specified by ZU.
• In special circumstances, with the approval of the student's supervisors and the
graduate program director at the partner (resp. home) university, up to 3
of the credits at
the partner (resp. home) university
may be completed at the home (resp. partner)
university.
A course at
SFU and a course at ZU are called similar if the two courses overlap substantially.
Students with credits from one course
of two similar courses may not take the other course for
further credits. The graduate program breadth committee at SFU and the corresponding
committee at
ZU will be responsible to determine the list of similar courses. (SFU and ZU have
started this work.)
Social Sciences and Language Course Requirements
In addition to the credits required above for the breadth requirement, courses specified below
are required.
3

• SFU students without an MSc in Computing Science or an equivalent must complete 6
credits from courses on basic Chinese language and China Survey at Zu.
• SFU students with an MSc in Computing Science or an equivalent must complete 3
credits on from courses on China Survey.
• ZU students without an MSc in Computing Science or an equivalent must complete at
least 8 credits
of social science courses specified by ZU.
• ZU students with an MSc in Computing Science or an equivalent must complete at
least 2 credits
of social science courses specified by ZU.
Thesis Requirements
Students are required to demonstrate depth of knowledge in their research area through a public
depth seminar and oral examination, to give a thesis proposal seminar, and submit and defend a
thesis.
The depth seminar and examination is normally scheduled after the completion of breadth
requirement and within three years
of the initial admission to either university. The seminar and
examination may
be conducted at either SFU or ZU. The examining committee for a student
consists
of a non-voting chair, the supervisory committee of the student and at least one
additional examiner recommended
by the supervisory committee and approved by the Graduate
Program Committee at either SFU or ZU. The examining committee's evaluation is diagnostic,
specifying additional work in weak areas
if such exists. A second depth examination or
withdrawal from the program may be recommended in extreme cases.
A student is required to submit a written thesis proposal, give a seminar and defend the
proposal to the supervisory committee. The seminar
may be given at either SFU or ZU and
normally done within one year after the depth examination.
A student is required to complete a thesis, give a seminar and defend the thesis to an examining
committee approved
by SFU. The thesis will be reviewed by the supervisory committee and
reviewers specified
by ZU before the defense. The thesis defense may proceed only after the
approval from the supervisory committee and reviewers specified
by ZU. The student may give
the seminar and defend the thesis at either
SFU or ZU to the examining committee.
For more details on regulations for the thesis defense, please refer to 1.9 and
1.10 of the
Graduate General Regulations at
SFU.
The depth seminar/examination and thesis/proposal/seminar will be in English. The thesis will
be
in
English with a 1-2 page summary in Chinese.
Students are required to submit copies of their thesis to both the SFU and ZU libraries.
The thesis must meet the publication requirements for the PhD degrees of both SFU and
ZV.
4

Intellectual Property (lP) and Copyright of Thesis
The SFU IP policy applies to the GOOP students as it does to other regular SFU students. For
more details
of the policy, please refer to the SFU Policies and Procedures R30.03.
The author of a thesis retains copyright of the thesis but is required to fill out agreements to
give partial rights to the
SFU library, the National Archive of Canada, and the ZU library.
Those rights include lending the thesis to users
of the SFU and ZU libraries. (Please refer to
SFU's Library Partial Copyright License and Library and Archives Canada's Thesis Non-
Exclusive License for details.)
The author retains copyright
of the thesis, including the right to change the work for subsequent
purposes such as editing and publishing the work in whole
or in part, and licensing other parties,
as the author may desire.
Students should consult with their supervisory committee to avoid possible copyright conflicts.
GDDP PhD residency Requirement
Students are expected to conduct research at both SFU and ZU. A student in the program must
reside for at least one year and is expected to spend a longer time and complete a significant
research work at each university.
Tuition
When a student is resident at SFU, the student pays per-semester tuition fee to SFU. When a
student is resident at
ZV,
the student pays per-year tuition fee to ZU.
Withdrawal from GDDP
A student may withdraw from the GOOP program by transferring to the PhD program at the
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 PhD
program of the partner university only with permission of the graduate program committee of
the partner university, considering the full academic records at both universities.
Funding
Financial support for a student and will be arranged by the student's supervisors from both
schools.
In
principle, a student will be supported by T A, RA, or scholarship funds at the
university at which he/she is resident.
SFU will commit about $20,000 in support from a variety of sources (TA, RA, scholarships) for
each
GDDP PhD student during the first year in which they are resident at SFU. Students may
receive additional support subject to their performances.
5

ZU will give priority of up to two full scholarships to each cohort ofSFU students to pursue
PhD degrees. Each scholarship includes a
2,000 Chinese Yuan per month stipend, a tuition
waiver, free housing, and medical insurance.
SFU students not receiving these scholarships will
receive similar financial support from their supervisors
or from the College of Computer
Science at
ZU.
Students may receive additional financial supports from their supervisors for their travels
between
SFU and ZU to meet the residency requirements.
Student Service
When a student is a resident of SFU or ZU, the student will receive the same services as those
for the regular students at SFU or ZU, respectively. The GDDP office at SFU may provide
additional consultation for students on issues related to SFU.
Graduate courses
Graduate courses offered by SFU and ZU are listed in three groups.
Group I Courses: Algorithms and Theory
Courses at SFU:
CMPT 701-3 Computability and Logic
CMPT
705-3 Design and Analysis of Algorithms
CMPT
710-3 Computational Complexity
CMPT 711-3 Bioinformatics Algorithms
CMPT 813-3 Computational Geometry
CMPT 814-3 Algorithmic Graph Theory
CMPT 815-3 Algorithms
of Optimization
CMPT 881-3
Special Topics in Theoretical Computing Science
Courses at ZU:
2111001-2
2111002-2
2122001-2
2122019-2
Applied Mathematics for Computer Science (1)
Applied Mathematics for Computer
Science (2)
Elements of the Theory of Computation
Advanced Fonnal Methods
Group II Courses: Systems
Courses at SFU:
CMPT 730-3 Programming Language
CMPT 731-3 Functional Programming
CMPT 745-3 Software Engineering
6

CMPT 755-3 Compiler Theory
CMPT 760-3 Operating Systems
CMPT
765-3 Computer Communication Networks
CMPT 771-3 Internet Architecture and Protocols
CMPT 777-3 Formal Verification
CMPT 816-3 Theory of Communication Networks
CMPT 885-3
Special Topics in Computer Architecture
CMPT 886-3 Special Topics in Networks, Software
Courses at ZU
2122002-2
2122003-2
2122006-2
2122018-2
2124003-2
2124012-2
2124014-2
2124028-2
2124057-2
2124058-2
2124059-2
2124060-2
2124072-2
2124069-2
2124070-2
2124071-2
Advanced Operating Systems
Advanced Computer Architecture
Modem
VLSI Design: System on Chip Design
Advanced Computer Networks
Computer Security
Grid
Computing and Distributed Systems
Advanced Software Engineering
Pervasive Computing
High End Computing and Its Applications
Advanced Topics in Compilers
Multi-core Computing
Network Multimedia Computing
Principles
of Embedded System Design
Sensor Network and Information Processing
Parallel Computer Architecture and Programming
Network Algorithms
Group
III
Courses: Applications
Courses at SFU:
CMPT
721-3 Knowledge Representation and Reasoning
CMPT 725-3 Logical Methods in
Computational Intelligence
CMPT 726-3 Machine Learning
CMPT 823-3 Formal Topics in Knowledge Representation
CMPT 825-3 Natural Language Processing
CMPT 826-3 Automated Learning and Reasoning
CMPT 827-3 Intelligent
Systems
CMPT 882-3 Special Topics in Artificial Intelligence
CMPT
505-3 Problem based Learning in Bioinfonnatics
CMPT
740-3 Database Systems
CMPT 741-3 Data Mining
CMPT 829-3 Special Topics
in
Bioinfonnatics
CMPT 842-3
Concurrency Control in Database Systems
7

CMPT 843-3 Database and Knowledge-Base Systems
CMPT 844-3 Special Topics in Database Systems
CMPT 761-3 Image Synthesis
CMPT 764-3 Geometric Modeling in Computer Graphics
CMPT 767-3 Visualization
CMPT 773-3 Use-Interface Design
CMPT
820-3 Multimedia Systems
CMPT 821-3 Robot Vision
CMPT 822-3 Computational Vision
CMPT 888-3 Special Topics in Computer Graphics, HCI, Vision, and Visualization
Courses at
ZU:
2112001-2
2122020-4
2122021-2
2122022-2
2122023-2
2124017-2
2124025-2
2124027-2
2124061-2
2124062-2
2124063-2
2124064-2
2124065-2
2124066-2
2124067-2
2124068-2
2124073-2
2124074-2
2124075-2
0711026-2
Research Frontiers of Computer Science and Technology
Computer Graphics
Introduction to Computer
Vision
Advanced Database Technologies
Introduction to Artificial Intelligence
The Fundamental Principles
of Non-Photorealistic Computer Graphics
Electronic Business Technology
Computer Animation and its Applications
Network Multimedia
Search Engine
Solid Modeling
Biologic Intelligence and Algorithms
Introduction to Machine Learning
Advanced Artificial Intelligence
Visualization in Scientific Computing
Speech and Language, Processing and Understanding
Image Processing and Modeling
Virtual Reality
HeI
and Virtual Human
Data Mining
Bioinfonnatics Topics
8

Changes to SFU Calendar - Computing Science
Add GDDP PhD and Master Programs
July 12, 2010
The School of Computing Science proposes to add the SFU-ZU GDDP programs described
below. The following calendar description (except the appendix) is proposed to
be included at
the end
of the current calendar description for the graduate programs in the School of Computing
Science. The appendix is proposed to be included in the website for the GDDP programs.
Simon Fraser University-Zhejiang University Graduate Dual Degree
Programs
The graduate dual degree programs (GDDP) jointly developed by Simon Fraser University
(SFU)
and Zhejiang University (ZU), China, allow students to acquire two graduate degrees at
the completion
of the programs. The programs will provide graduates with competitive
advantages to lead research and development in both universities and industry.
Degrees Offered
GOOP includes a Master's program and a PhD program. In both programs, students will study
and do research at both
SFU and ZU. The working language at SFU will be English, while the
working language at
ZU can be either English or Chinese. Graduates of the GDDP PhD program
will receive a PhD degree
in Computing Science from SFU and a PhD degree in Computer
Science from ZU. Graduates of the GOOP Master's program will receive an MSc degree in
Computing Science from SFU and an MSE (Master of Software Engineering) degree from ZU.
Admission Requirements
Admission
Students must
be admitted to one institution, and then apply, and be admitted to the other
institution. To qualify for admission to the
GODP programs, students must satisfy the usual
admission requirements specified
by each university. The university of first-admission will be
referred to as the student's "home" university. Students with SFU as their home university are
called
SFU students and students with ZU as their home university are called ZU students below.
Admission to the GOOP
Once
admitted to the home university, the student may then apply to be admitted to the
GODP. The 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. Recommended individual's applications
will then be forwarded to the other (or "partner") university. All students must meet the
admission requirements
of the partner university.
GDDP Master's Program
Under nonnal circumstances, the time for completing the Master's program is within 3 calendar
years and no longer than 6 calendar years.
Supervisory Committees
Each GDDP Master's program 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.
Course Requirements
SFU students are required to complete a total of at least 23 credits. ZU students are required to
complete a total of at least 26 credits.
Breadth Requirement
To demonstrate breadth in Computing Science, students are required to complete at least 20
credits from the graduate courses offered by SFU and ZU. Those graduate courses are classified
into four groups (please refer to Table 1 on the GDDP website (Appendix) for the list of the
courses). Of those credits, at least 9 credits must be from SFU and at least 10 credits must be
from ZU. All students must complete at least one course from each of the four groups and at
least one
of these courses must be chosen from CMPT 705, CMPT 710, and 2122001. Students
must also meet the breadth requirements specified
by ZU . For more details on breadth
requirements, please refer to the articulation documents
on the GDDP website (Appendix).
Social Science and Language Course Requirements
In
addition to the credits required above for the breadth requirement, SFU students are required
complete at least 3 credits from the course
on China Survey at ZU. ZU students are required
complete at least 6 credits
of social science courses specified by ZU.
Practicum Requirement
Students are required to complete a one-semester Co-op practicum or research/industry project at
either SFU or ZU.
Extended Essay Requirement

All students are required to complete two extended essays, one at each university. Please refer to
the articulation documents on the GDDP website (Appendix) for details.
GDDP Master Residency Requirement
Students are expected to study at both SFU and ZU. All students are required to complete at least
9 course credits and an extended essay at
SFU. Please refer to the articulation documents on the
GDDP website (Appendix) for details.
GDDP PhD Program
Under normal circumstances, the time for completing the program is within 6 calendar years for
students with only a
BSc degree and within 4 calendar years for students who already hold an
MSc degree in Computing Science or an equivalent. For any student, the program should be
completed within 8 calendar years.
Supervisory Committees
Each GDOP PhD program student will be supervised by a supervisory committee consisting of a
senior supervisor and another faculty member at the home university, and a co-senior supervisor
and another faculty member at the partner university.
Course Requirements
SFU students without an MSc in Computing Science or an equivalent are required to complete a
total
of at least 30 credits. SFU students with an MSc in Computing Science or an equivalent are
required to complete a total
of at least 15 credits.
ZU students without an MSc in Computing Science or an equivalent must complete a total of at
least 34 credits.
ZU students with an MSc in Computing Science or an equivalent are required to
complete a total
of at least 14 credits.
Breadth Requirements
Students without an MSc degree in Computing Science or an equivalent are required to complete
at least 24 credits from the graduate courses offered
by SFU and ZU. Those courses are
classified into three groups (please refer to Table 2 on the
GODP website (Appendix) for the list
of the courses). At least 12 of the 24 credits must be completed at each university,
Students
with
a master's degree in Computing Science or an equivalent are required to complete
at least 12 credits from the courses listed in Table 2 on the
GODP website (Appendix). At least 6
of the 12 credits must be completed at each university.

For more details on the breadth requirements, please refer to the articulation documents on the
GDDP website (Appendix).
Social Science and Language Course Requirements
In
addition to the credits required above for the breadth requirement, courses in cultural and/or
language studies are required. Please refer to the articulation documents on the GDDP website
(Appendix) for details.
Depth Requirements
Students are required to follow the general PhD depth requirements at SFU School of Computing
Science: pass the depth examination, submit a written thesis proposal, and defend a thesis based
on their independent work. The depth seminar and examination, the thesis proposal seminar and
the thesis defense seminar may
be done at either SFU or ZU. A student is required to defend the
thesis to an examining committee approved by SFU. The thesis will be reviewed by the
supervisory committee and reviewers specified
by ZU before the defense. The thesis defense
may proceed after the approval from the supervisory committee and the reviewers specified by
ZU. For more details on the thesis defense, please refer to 1.9 and 1.10 of the Graduate General
Regulations at
SFU. The thesis must meet the publication requirements for the PhD degrees of
SFU andZU.
GDDP PhD residency Requirement
Students are expected to conduct research at both SFU and ZU. A student in the program must
reside at each university for at least one year.
Appendix:

GDDP Master's Program
Breadth requirement
Students are required to complete at least 20 credits to demonstrate breadth in Computing
Science. The courses taken must satisfy the following breadth requirements.
A list
of graduate courses offered at SFU and at ZU is given in Table 1. In this list, the courses
are classified into four groups.
All students are required to complete at least 20 credits from the courses in the four groups. Of
those credits, at least 9 credits must be from SFU and at least 10 credits must be from ZU. All
students must complete at least one course in each
of the four groups and at least one of these
courses must be chosen from
CMPT 705, CMPT 710, and 2122001. ZU students are also
required to complete courses
2122016 and 2124046.
An
SFU course and a ZU course are called similar if the two courses overlap substantially.
Students with credits from one course of two similar courses may not take the other course for
further credits. The graduate program breadth committee at
SFU and the corresponding
committee at
ZU will decide the list of similar courses.
Extended Essay Requirement
Each student is required to complete an extended essay in English at SFU. The extended essay is
normally a report on a research/industry project or a survey on a specific topic in information
technology. The normal length
of the SFU essay is 15-30 pages. The topic and the scope of SFU
essay are determined in consultation with the supervisory committee. The workload of the SFU
essay is equivalent to that of3 units ofSFU graduate course work and the essay is given 3
credits. The
SFU essay is evaluated with P or F by the student's SFU supervisor.
Each student is required to complete an extended essay
in either English or Chinese at ZU. lfthe
extended essay is written in Chinese, the student is required to provide an English translation.
The
ZU extended essay is normally a report on a research/industry project or a survey on a
specific topic
in
information technology. The topic and the scope of the essay are determined in
consultation with the supervisory committee. The length
of the ZU essay should follow the
guidelines
of ZU. The ZU essay is treated as a project report by ZU. Students are required to
submit the
ZU essay to the ZU library.
GDDP Master Residency Requirement
Students are expected to study at both SFU and ZU. All students are required to complete at least
9 course credits and an extended essay at
SFU. SFU students are required to complete at least 13
course credits and an extended essay at ZU. ZU students are required to complete at least 16
course credits and an extended essay at
zu.

Tuition fees
Students pay per-unit tuition fees (at the same level as for the MEng program) at the SFU. The
minimum number
of SFU credits required by this program is 12 (9 course credits and 3 essay
credits). Students pay tuition fee to
ZU specified by ZU for those semesters registered at ZU.
Withdrawal from GDDP
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 detennine 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
uni versities.
Student Service
When a student is a resident of SFU or ZU, the student will receive the same services as those for
the regular students at
SFU or ZU, respectively. The GDDP office at SFU may provide
additional consultation for students on issues related to
SFU.
Graduate courses offered
by
SFU and ZU for the GDDP Master's program
Graduate courses offered by SFU and
W
for the GDDP Master's program are listed
in
four
groups (Groups
I-IV)
as shown in Table 1.
Table 1
Group I Courses: Algorithms and Theory Credits
Courses at SFU:
CMPT 701-3 Computability and Logic
CMPT 705-3 Design and Analysis of Algorithms
CMPT 710-3 Computational Complexity
CMPT 711-3 Bioinfonnatics Algorithms
CMPT 813-3 Computational Geometry
CMPT 814-3 Algorithmic Graph Theory
CMPT 815-3 Algorithms
of Optimization
CMPT 881-3 Special Topics in Theoretical Computing Science
Courses at
zu:
2122001-2
2122019-2
Elements of the Theory of Computation
Advanced Fonnal Method

Group II Courses: Systems
Courses at SFU:
CMPT 730-3 Programming
Language
CMPT 731-3 Functional
Programming
CMPT 745-3 Software Engineering
CMPT 755-3 Compiler Theory
CMPT 760-3 Operating Systems
CMPT 765-3 Computer Communication Networks
CMPT 771-3 Internet Architecture and
Protocols
CMPT
777-3 Formal Verification
CMPT 816-3 Theory
of Communication Networks
CMPT 885-3 Special Topics in Computer Architecture
CMPT 886-3 Special Topics in Networks, Software
Courses at
zu:
2122002-2
2122003-2
2122016-2
2124012-2
2124016-2
2124028-2
2124045-2
2124059-2
2124070-2
2124072-2
Advanced Operating System
Advanced Computer Architecture
System Design and Analysis
Grid Computing and Distributed Systems
Embedded Systems
Pervasive Computing
Network and Information Security
Multi-core Computing
Parallel Computer Architecture and Programming
Principles of Embedded System Design
Group III Courses: Applications
Courses at SFU:
CMPT 721-3 Knowledge Representation and Reasoning
CMPT 725-3 Logical Methods
in
Computational Intelligence
CMPT 726-3 Machine Learning
CMPT 823-3 Formal Topics in Knowledge Representation
CMPT 825-3 Natural Language
Processing
CMPT
826-3 Automated Learning and Reasoning
CMPT 827-3 Intelligent Systems
CMPT
882-3 Special Topics in Artificial Intelligence
CMPT 505-3 Problem based Learning in Bioinformatics
CMPT 740-3 Database Systems
CMPT 741-3 Data Mining
CMPT 829-3 Special Topics in Bioinformatics

CMPT 842-3 Concurrency Control in Database Systems
CMPT 843-3 Database and Knowledge-Base Systems
CMPT 844-3 Special Topics in Database Systems
CMPT 761-3 Image Synthesis
CMPT 764-3 Geometric Modeling in Computer Graphics
CMPT 767-3 Visualization
CMPT 773-3 Use-Interface Design
CMPT
820-3 Multimedia Systems
CMPT 821-3 Robot Vision
CMPT 822-3 Computational Vision
CMPT 888-3 Special Topics in Computer Graphics, HCI, Vision, and Visualization
Courses at
ZU:
2122020-4
2122021-2
2122022-2
2122023-2
2124003-2
2124014-2
2124017-2
2124025-2
2124027-2
2124044-2
2124057-2
2124060-2
2124061-2
2124062-2
2124063
.. 2
2124064 .. 2
2124065-2
2124066-2
2124067-2
2124068
.. 2
2124069-2
2124073-2
2124074-2
2124075-2
2124076-2
Computer Graphics
Introduction to Computer Vision
Advanced Database Technology
Introduction to Artificial Intelligence
Computer Security
Advanced Software Engineering
The Fundamental Principles
of Non-Photorealistic Computer Graphics
Electronic Business Technology
Computer Animation and its Applications
Webservice Technology
High End Computing and Its Applications
Multimedia Computing
Network Multimedia
Search Engine
Solid Modeling
Biologic Intelligence and Algorithms
Introduction to Machine Learning
Advanced Artificial Intelligence
Visualization in Scientific Computing
Speech and Language,
Processing and Understanding
Image Processing and Modeling
Sensor Networks and Information Processing
Virtual Reality
HCI and Virtual Human
Data Mining
Services Computing
Group IV Courses: Others
Courses at SFU:
CMPT 781-3 Technical Communication and IT Project Management

Courses at zu:
0711026-2
2122014-2
2124040-2
2124041-2
2124042-2
2124043-2
2124046-2
Bioinformatics Topics
Software Engineering Process Management
Software Engineering and Business English
Software Quality Assurance
Software Requirement Engineering
Software Engineering Case Analysis
Software Engineering
Project Management
GDDP PhD Program
Breadth Requirement
Students without a master's degree in Computing Science are required to complete at least 24
credits to demonstrate breadth in Computing Science. Students with a master's degree in
Computing
Science or the equivalent are required to complete at least 12 credits to demonstrate
breadth in Computing
Science. The courses taken must satisfy the following breadth
requirements.
A list
of graduate courses offered at SFU and at ZU is given in Table 2. In this list, the courses
are classified into three groups.
SFU students without an MSc in Computing Science or a related field must complete at least 12
credits at each university.
Of those credits, at least 9 from each university must be taken from the
courses listed in Groups I, II, and III. At
ZU, the approval of the student's supervisor and the
graduate program director at
ZU are required for the student to take courses not listed in Groups
I, II, and III.
SFU students with an MSc in Computing Science or a related field must complete at least 6
credits at each university from the courses listed in Groups
I, II, and III.
W
students without an MSc in Computing Science or a related field must complete at least 12
credits at
SFU and at least 14 credits at ZU. Of those credits, all but three from SFU must be
taken from the courses listed in Groups I, II, and III. At ZU, these students must complete
courses
2111001, 2111002, 2112001, and at least four additional ZU courses in Groups I, II, and
III.
ZU students with an MSc in Computing Science or a related field must complete at least 6
credits at each university from the courses listed
in
Groups I, II, and III. At ZU, these students
must complete courses
2111001, 2111002, 2112001.
All ZU students must complete additional research seminars as specified by ZU.

In special circumstances, with the approval of the student's supervisor and the graduate program
director at the partner (horne) university, up to 3
of the credits at the partner (home) university
may
be completed at the home (partner) university.
All students must complete at least one course in each
of the groups and at least one of these
courses must
be chosen from CMPT 705, CMPT 710, and 2122001.
At most two Special Topics courses at SFU (two ofCMPT 829, 881, 882, 885, 886, 888) may be
used to meet the breadth requirement, except with the pennission from the graduate program
director at
SFU.
An SFU course and a ZU course are called similar if the two courses overlap substantially.
Students with credits from one course
of two similar courses may not take the other course for
further credits. The graduate program breadth committee at
SFU and the corresponding
committee at
ZU will decide the list of similar courses.
Social Science and Language Course Requirements
In
addition to the credits required above for the breadth requirement, credits specified below are
required.
SFU students without an MSc in Computing Science or a related field must complete 6 credits
from the course China
Survey and courses on basic Chinese language at ZU.
SFU
students with an MSc in Computing Science or a related field must complete 3 credits from
the course China Survey at
ZU.
ZU
students without an MSc in Computing Science or a related field must complete at least 8
credits
of social science courses specified by ZU.
ZU
students with an MSc in Computing Science or a related field are required to complete at
least 2 credits
of social science courses specified by ZU.
Tuition fees
When a student is resident at SFU, the student pays per-semester tuition fee to SFU. When a
student is resident at
ZU, the student pays per-year tuition fee to ZU.
Withdrawal from GDDP
A student may withdraw from the GDDP PhD program by transferring to the PhD program at the
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 PhD
program
of the partner university only with permission of the graduate program committee of the
partner university, considering the full records at both universities.

Student Service
When a student is a resident of SFU or ZU, the student will receive the same services as those for
the regular students at
SFU or ZU, respectively. The GDDP office at SFU may provide
additional consultation for students
on issues related to SFU.
Graduate courses offered by SFU and ZU for the GDDP PhD program
Graduate courses offered by SFU and ZU for the GDDP PhD program are classified in three
groups (Groups I-III) as shown in Table 2.
Table 2
Group I Courses: Algorithms and Theory Credits
Courses at SFU:
CMPT 701-3 Computability and Logic
CMPT
705-3 Design and Analysis of Algorithms
CMPT
710-3 Computational Complexity
CMPT 711-3 Bioinformatics Algorithms
CMPT 813-3 Computational Geometry
CMPT 814-3 Algorithmic Graph Theory
CMPT 815-3 Algorithms
of Optimization
CMPT 881-3
Special Topics in Theoretical Computing Science
Courses at ZU:
2111001-2
2111002-2
2122001-2
2122019-2
Applied Mathematics for Computer Science (1)
Applied Mathematics for Computer
Science (2)
Elements
of the Theory of Computation
Advanced Formal Methods
Group II Courses: Systems
Courses at SFU:
CMPT 730-3 Programming Language
CMPT 731-3 Functional Programming
CMPT 745-3
Software Engineering
CMPT 755-3 CompilerTheory
CMPT
760-3 Operating Systems
CMPT 765-3 Computer Communication Networks
CMPT 771-3 Internet Architecture and Protocols
CMPT 777-3 Formal Verification

CMPT 816-3 Theory of Communication Networks
CMPT 885-3 Special Topics in Computer Architecture
CMPT 886-3
Special Topics in Networks, Software
Courses at ZU
2122002-2
2122003-2
2122006-2
2122018-2
2124003-2
2124012-2
2124014-2
2124028-2
2124057-2
2124058-2
2124059-2
2124060-2
2124072-2
2124069-2
2124070-2
2124071-2
Advanced Operating Systems
Advanced Computer Architecture
Modern
VLSI Design: System on Chip Design
Advanced Computer Networks
Computer Security
Grid Computing and Distributed
Systems
Advanced Software Engineering
Pervasive Computing
High End Computing and Its Applications
Advanced Topics in Compilers
Multi-core Computing
Network Multimedia Computing
Principles
of Embedded System Design
Sensor Network and Infonnation Processing
Parallel Computer Architecture and Programming
Network Algorithms
Group
III
Courses: Applications
Courses at SFU:
CMPT 721-3 Knowledge Representation and Reasoning
CMPT 725-3 Logical Methods in Computational Intelligence
CMPT 726-3 Machine Learning
CMPT 823-3 Fonnal Topics in Knowledge Representation
CMPT 825-3 Natural Language Processing
CMPT 826-3 Automated Learning and Reasoning
CMPT 827-3 Intelligent Systems
CMPT 882-3
Special Topics in Artificial Intelligence
CMPT
505-3 Problem based Learning in Bioinfonnatics
CMPT
740-3 Database Systems
CMPT
741-3 Data Mining
CMPT 829-3
Special Topics in Bioinformatics
CMPT 842-3 Concurrency Control
in
Database Systems
CMPT 843-3 Database and Knowledge-Base Systems
CMPT
844-3 Special Topics in Database Systems
CMPT 761-3 Image Synthesis
CMPT
764-3 Geometric Modeling in Computer Graphics

CMPT 767-3 Visualization
CMPT 773-3 Use-Interface Design
CMPT
820-3 Multimedia Systems
CMPT 821-3 Robot Vision
CMPT 822-3 Computational Vision
CMPT 888-3 Special Topics in Computer Graphics, HCI, Vision, and Visualization
Courses at zu:
2112001-2
2122020-4
2122021-2
2122022-2
2122023-2
2124017-2
2124025-2
2124027-2
2124061-2
2124062-2
2124063-2
2124064-2
2124065-2
2124066-2
2124067-2
2124068-2
2124073-2
2124074-2
2124075-2
0711026-2
Research Frontiers of Computer Science and Technology
Computer Graphics
Introduction to Computer Vision
Advanced Database Technologies
Introduction to Artificial Intelligence
The Fundamental Principles
of Non-Photorealistic Computer Graphics
Electronic Business Technology
Computer Animation and its Applications
Network Multimedia
Search Engine
Solid Modeling
Biologic Intelligence and Algorithms
Introduction to Machine Leaming
Advanced Artificial Intelligence
Visualization
in Scientific Computing
Speech and Language, Processing and Understanding
Image Processing and Modeling
Virtual Reality
HeI
and Virtual Human
Data Mining
Bioinformatics Topics

(2)
SIMON FRASER UNIVERSITY
NEW GRADUATE COURSE PROPOSAL FORM
When a departmem proposes a new course it must first be sent to the chairs of each faCUlty graduate program
committee where there might be an overlap
in course content. The chairs
wil/
indicate that overlap concerns have
been dealt with by signing the appropriate space or
via a separate memo or e-mail (attach). The new course
proposal must also
be semto the Library for a report.
Once overlap concerns have been dealt with signatures indicate approval by the department, home faculty and
Senate Graduate Studies Committee.
Department or School:
School of Computing Science
Proposed course number and title:
CMPT626 Graduate Co-op Practicum
I
Other Faculties:
Other Faculties approval indicates that the Dean(s) or designate of other Faculties affected by the proposed new
course support(s) the approval of the new course.
Name of Faculty
Signature
Date
Name of Faculty
Signature
Date
Name of Faculty
Signature
Date
Name of Faculty
Signature
Date
Name of Faculty
Signature
Date
Departmental approval
(non-departmentalizedfaculties need not sign)
Department
Graduate
Program
Committee
Signature
----------------------------------------
Date
Department
Chair
Signature
----------------------------------------
Date
Faculty approval
Faculty approval indicates that all the necessary course content and overlap concerns have been resolved, and that
the Faculty/Department commits
to providing the required Librmy funds and any other necessQly resources
Faculty Graduate Program Committee
Signature
----------------------------------------
Date
SGSC approval
Signature
----------------------------------------
Date
sase approval indicates that the Library report has been seen, and all resource issues dealt with. Once approved,
new course proposals are sent
to Senate for iriformation.
5 ENATE GRADUATE STUDIES COMMITTEE FORM
1/2
NEWCRS-PPFORM REV FEB 13 2008RTF
33
(2)

o
NEW GRADUATE
COURSE
PROPOSAL
FORM
Subject:
----------------------------
CMPT
(max.
4
chars)
Catalog Number: 626
---------~--
Cou~eTitle: _G_ffi_d_u_a_~~C_~_o_p~P_ffi_c_t_ic_u_m~I
__
~
__
~
__________________
~
____
~ ~~.~~a~
Short Title
(appears on lranscripts etc.)
Graduate Co-op Practicum I
(max.
25
char.)
Course Description for Calendar:
(append a course outline as a separate document)
~his
course is the first term of work experience in the School of Computing Science Co-operative Education
Program
for the students in the GDDP Master Program. Units of this course do not count towards the units
required for an
SFU degree.
Units:
~~-~~-
0
Available Course Components:
(select all that apply)
DLecture
DSeminar
o
Laboratory
[(]Practicum
Prerequisites:
(if any)
Campus at which course wil] be offered:
----------------------------------------------
All
campuses
Estimated Enrolment: 10-15
The term course will first be offered: 2011-3
--------------~---
Frequency of course offering: every semester
Grading Basis: DGraded
DSatisfactory/Unsatisfactory
0In Progress/Complete
Justification:
rhe School of Computing Science at SFU proposes to offer the GDDP Master Program in Computing Science to
be jointly delivered
by
SFU and ZU. Students are required to complete at least one term of Co-operative
ducation. This course
is proposed for students to meet this requirement.
Resources:
Faculty member(s) who will normal1y teach this course:
(append ill/ormation about their competency to teach tile course)
Number of additional faculty members required in order to offer this course:
Additional space required
in order to offer this course:
(append details)
----------------------
Additional specialized equipment required in order to offer this course:
(append
detaiM
Additional Library resources required:
(append details)
Annually $
-------
One-time $
if
additional resources are required to offer this course, the department proposing the course should be prepared to provide
information
on the source(s) of those additional resources.
Upon approval o/the course proposal, the Dean o/Graduate SlIldies office will consult with the department or school regarding
other course attributes that may
be required to enable the proper entry of the new course in the student record system.
S
IMONFRASER
UNIVERSITY
SENATE
GRADUATE
STUDIES
COMMITIEE
FORM
o

~
__________________
N_e_W_G
__
ra_d_~_a_!_el_;_,~_~_~s_oe_p_r_o_p_o_sa_l
________________
~
Title:
CMPT 626: Graduate Co-op Practicum I
Instructor:
Course Information
Course Number: CMPT 626
Course Title: Graduate Co-op Practicum I
Credit Hours: Zero
(0) hours of lecture per week.
Course Description:
This course is the first term of work experience in the School of Computing Science Co-operative
Education
Program for the students in the GDDP Master Program. Units from this course do not
count towards the units required for an
SFU degree.
Grading
In Progress/Complete
Rationale for Introducing This Course
The School of Computing Science at SFU proposes to offer the GDDP Master Program in Com-
puting
Science to be delivered jointly by SFU and ZU. Students in this program are required to com-
plete at least one tenn
of Co-operative Education Program. This course is proposed for students to
meet this requirement.
Scheduling and Registration Information
The course is proposed to be offered as required.

SIMON FRASER UNIVERSITY
NEW GRADUATE COURSE PROPOSAL FORM
When a department proposes a new course it must first be sent to the chairs of each faculty graduate program
committee where there might
be an overlap in course content. The chairs will indicate that overlap concerns have
been dealt with by signing the appropriate space
or via a separate memo or e-mail (attach). The new course
proposal must also
be sent to the Library for a report.
Once overlap concerns have been dealt with, signatures indicate approval by the department, home faculty and
Senate Graduate Studies Committee.
Department or School:
School of Computing Science
Proposed course number and title:
CMPT627 Graduate Co-op Practicum
II
Other Faculties:
Other Faculties approval indicates that the Dean(s) or designate of other Faculties affected by the proposed new
course support(s) the approval
of the new course.
Name of Faculty
Signature
Date
Name of Faculty
Signature
Date
Name of Faculty
Signature
Date
Name of Faculty
Signature
Date
Name of Faculty
Signature
Date
Departmental approval
(non-departmentalizedfaculties need not sign)
Department
Graduate
Program
Committee
Signature
------------------------------------------
Date
Department
Chair
Signature
------------------------------------------
Date
Fa cully a pprova I
Faculty approval indicates that all the necessary course content and overlap concerns have been resolved, and thaI
the Faculty/Department commits
10
providing the required Librmy funds and any other necessary resources
Faculty
Graduate
Program
Committee
Signature
----------------------------------------
Date
SGSC approval
Signature
------------------------------------------
Date
SGSC approval indicates that the Library report has been seen, and all resource issues dealt with. Once approved,
new course proposals are sent
to Senate for information.
SENATE GRADUA TESTUDIES COMMITTEE FORM
1/2
NEWCRS-PPFORM REV FEB 13 2008RTF

o
NEW GRADUATE
COURSE
PROPOSAL
FORM
Subject:
----------------------------
CMPT
(max.
4
chars)
Catalog Number:
----------------
627
Cou~eTffie: _G_ffi_d_u_a_~~C_o_-_op~P_m_c_t_ic_u_m~II~~~~~~~~~~~~~~~ ~~~~80~a~
Short Title
(appears on transcripts etc.)
Graduate Co-op Practicum
\I
(max.
25
char.)
Course Description for Calendar:
(append a course outline as a separate document)
Following CMPT 626, this course is the second term of work experience in the School of Computing Science Co-
pperative Education program for the students in the GDDP Master Program. Units ofthis course do not count
towards the units required for an SFU degree.
Units:
-----------
0
A
vailable Course Components:
(select all that apply)
DLecture
DSeminar
o
Laboratory
IZ!Practicum
Prerequisites:
(if any)
Estimated
Campus
at
Enrolment:
which
course
-------------
10-15
will
be
offered:
The
--------------------------------------------------
All
term
campuses
course
will
first
be
offered:
---------------------
2011-3
Frequency of course offering: every semester
Grading Basis: OGraded
DSatisfactory/Unsatisfactory
01n
Progress/Complete
Justification:
The School of Computing Science at SFU proposes to offer the GDDP Master Program in Computing Science to
pe jOintly delivered
by
SFU and ZU. Students are required to complete at least one term of Co-operative
Education.
This course is proposed for students to gain more work experience in the Co-operative Education
Program.
Resources:
Faculty member(s) who will normal1y teach this course:
(append informatioll about tlreir competency to leacll 'lie course)
Number of additional faculty members required in order to offer this course:
Additional space required in order to offer this course:
(append detflils)
Additional specialized equipment required in order to offer this course:
(append detllils)
Additional Library resources required:
(append details)
Annually $
----------
One-time $
If
additional resources are required to offer this course, the department proposing the cou,.se should he prepared to provide
information on the source(s)
of those additional resources.
Upon approval of the course proposal, the Dean of Graduate Studies office will consult with the department or school regarding
other course attributes that may be required to enable the proper enlly of the new course in the student record system.
5
IMDNF
RASER
UNIVERSITY
5
ENATE
GRADUATE
STUDIES
CDMMIITEE
FORM
o

o _________
Title:
CNIPT 627:
N_e_W_G_r_a_d_~_~_~_lc_9,_~u_O
Graduate Co-op Practicum
r_l~_e_p_r_o_p_o_sa_l
II
________
0
Instructor:
Course Information
Course Number: CMPT 627
Course Title: Graduate Co-op Practicum II
Credit Hours: Zero
(0) hours of lecture per week.
Course Description:
Following CMPT 626, this course is the second term of work experience in the School of Com-
puting Science Co-operative Education
Program for the students in the GDDP Master Program. Units
from this course do not count towards the units required for an
SFU degree.
Grading
In Progress/Complete
Rationale for Introducing This Course
The School of Computing Science at SFU proposes to offer the GDDP Master Program in Com-
puting
Science to be delivered jointly by SFU and ZU. Students in this program are required to com-
plete at least one term
of Co-operative Education Program. This course is proposed for students to
gain more work experience in the Co-operative Education
Program.
Scheduling and Registration Information
The course is proposed to be offered as needed.
38

SIMON FRASER UNIVERSITY
NEW GRADUATE COURSE PROPOSAL FORM
When a department proposes a new course it must first be sent to the chairs of each faculty graduate program
committee where there might be an overlap in course content. The chairs
will indicate that overlap concerns have
been dealt with by signing the appropriate space
or via a separate memo or e-mail (attach). The new course
proposal must also be sent to the Library for a report.
Once overlap concerns have been dealt with, signatures indicate approval by the department, home faculty and
Senate Graduate Studies Committee.
Department or School:
School of Computing Science
Proposed course number and title: CMPT628
Graduate Co-op Practicum
III
Other Faculties:
Other Faculties approval indicates that the Dean(s) or designate of other Faculties affected by the proposed new
course support(s) the approval 0/ the new course.
Name of Faculty
Signature
Date
Name of Faculty
Signature
Date
Name of Faculty
Signature
Date
Name of Faculty
Signature
Date
Name of Faculty
Signature
Date
Departmental approval
(non-departmentalized/acuities need not sign)
Department
Graduate
Program
Committee
Signature
------------------------------------------
Date
Department
Chair
Signature
----------------------------------------
Date
Faculty
approval
Faculty approval indicates that all the necessmy course content and overlap concerns have been resolved, and thaI
the Faculty/Department commits
10
providing the reqUired LibrGlY funds and any other necessary resources
Faculty
Graduate Program Committee
Signature
-----------------------------------------------
Date
SGSC
approval
Signature
-------------------------------------------
Date
SGSC approval indicates that the Library report has been seen, and all resource issues dealt with. Once approved.
new course proposals are sent to Senate/or i'?formation.
SENATE GRADUATE STUDIES COMMITIEE FORM
1/2
NEWCRS-PPFORM REV FEB 13 2008RTF

(2)
NEW GRADUATE
COURSE PROPOSAL
FORM
Subject:
----------------------------
CMPT
(max.
4
chars)
Catalog Number:
----------------
628
Course Title: _G_ra_d_u_a_te_C_o_-o_p_P_ra_c_ti_cu_m_II_' ____________
____ (mat. 80 char.}
Short Title
(appears on transcripts etc.)
Graduate Co-op Practicum '"
(max.
25
char.)
Course Description for Calendar:
(append a course outline as a separate document)
Following CMPT 626 and CMPT 627, this course is the third term of work experience in the School of
tomputing Science Co-operative Education program for the students in the GDDP Master Program. Units from
his course do not count towards the units required for an SFU degree.
Units:
----------
0
A vailable Course Components:
(select all that apply)
DLecture
DSeminar
o Laboratory
0Practicum
Prerequisites:
(ifany)
Frequency
Campus
Estimated
at
Enrolment:
of
which
course
course
offering:
10-15
will
be
every
offered:
semester
The
-----------------------------------------------
A"
term
campuses
course
will
first
be
offered:
------------------
2011-3
Grading Basis: DGraded
DSatisfactory/Unsatisfactory
0In Progress/Complete
Justification:
he School of Computing Science at SFU proposes to offer the GDDP Master Program in Computing Science to
De jointly delivered by SFU and ZU. Students are required to complete at least one term of Co-operative
ducation. This course is proposed for students to gain more work experience in the Co-operative Education
Program.
Resources:
Faculty member(s) who will normally teach this course:
(append in/ormation about tlleir competellcy to teac" tile course)
Number of additional faculty members required in order to offer this course:
Additional space required in order to offer this course:
(append details)
Additional specialized equipment required in order to offer this course:
(append de/llil.\)
Additional Library resources required:
(append details)
Annually $
If
additional resources are required
10
offer this course, the department proposing the course should be prepared to provide
information on the source(s)
o/those additional resources.
Upon approval 0/ the course proposal, the Dean 0/ Graduate Studies office will consult with the department or school regarding
other course attributes Ihat may be required
10
enable the proper entry o/the nell' course in the student record system.
SIMONFRASER
UNIVERSITY
SENATE
GRADUATE
STUOIES
COMMITIEE
FORM
L/O
(2)
-"

~
__________________
N_e_W_G
__
ra_d_~_a_!_el_;_~~~_~_~e_p_r_o_p_o_sa_I
________________
~
Title:
elVIPT
628: Graduate Co-op Practicum TIl
Instructor:
Course Information
Course Number: CMPT 628
Course Title: Graduate Co-op
Practicum III
Credit Hours: Zero
(0) hours of lecture per week.
Course Description:
Following CMPT 626 and CMPT 627, this course is the third term of work experience in the
School of Computing Science Co-operative Education Program for the students in the GDDP Master
Program. Units from this course do not count towards the units required for an SFU degree.
Grading
In Progress/Complete
Rationale for Introducing This Course
The School of Computing Science at SFU proposes to offer the GDDP Master Program in Com-
puting
Science to be delivered jointly by SFU and ZU. Students in this program are required to com-
plete at least one term
of Co-operative Education Program. This course is proposed for students to
gain more work experience in the Co-operative Education Program.
Scheduling and Registration Information
The course is proposed to be offered as needed.
ifl

Add New Graduate Courses for the GDDP Programs - Computing Science
The School of Computing Science proposes to offer the SFU-ZU Graduate Dual Degree
Programs (GDDP). The School proposes to add courses CMPT626, CMPT627,
CMPT628, CMPT781
and CMPT895 described below for the GDDP Master program.
The descriptions for
CMPT626, CMPT627 and CMPT628 are proposed to be added
between the descriptions
of CMPT612 and CMPT701 in the current calendar. The
description for
CMPT781 is proposed to be added between CMPT777 and CMPT813 in
the current calendar. The description of CMPT895 is proposed to be added between
CMPT894 and CMPT896 in the current calendar.
CMPT 626-0 Graduate Co-op Practicum I
This course is the first term of work experience in the School of Computing Science Co-
operative Education Program for the students in the GDDP Master program. Units from
this course do not count towards the units required for an
SFU degree.
CMPT 627-0 Graduate Co-op Practicum II
This course is the second term of work experience in the School of Computing Science
Co-operative Education
Program for the students in the GDDP Master program. Units
from this course do not count towards the units required for an
SFU degree.
Prerequisite: CMPT 626.
CMPT 628-0 Graduate Co-op Practicum III
This course is the third term of work experience in the School of Computing Science
Co-operative Education Program for the students in the GDDP Master program. Units
from this course do not count towards the units required for
an SFU degree.
Prerequisite: CMPT 627.
CMPT 781-3 Technical Communication and IT Project Management
This course 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.
CMPT 895-3 GDDP Master Program Extended Essay

SIMON FRASER UNIVERSITY
NEW GRADUATE COURSE PROPOSAL FORM
When a department proposes a new course it must first be sent to the chairs of each faculty graduate program
committee where there might be an overlap in course content. The chairs will indicate that overlap concerns have
been dealt with
by signing the appropriate space or via a separate memo or e-mail (attach). The new course
proposal must also be sent
to the Library for a report.
Once overlap concerns have been dealt with, signatures indicate approval by the department, home faculty and
Senate Graduate Studies Committee.
Department or School:
School of Computing Science
Proposed course number and title:
CMPT781 Technical Communication and
IT
Project Management
Other Faculties:
dl
~(y
56--S"C 1N/U1/.JM
pAA.A.
c.""J..,..c.U
ft
e/AA.~
Other Faculties approval indicates that the Dean(s) or designate of other Faculties affected by the proposed new
J
A~~
course support(s) the approval of the new course.
~
Name of Faculty
Signature
Date
-------
Name of Faculty
Signature
Date
Name ofFaculty
Signature
Date
Name
of Faculty
Signature
Date
Name
of Faculty
Signature
Date
Departmental approval
(non-departmentalized/acuities need not sign)
D.epartment~G
at przo
~
~
SIgnature
+- ___
.:.....-:..Ia4-~....:;..z:;~~..;.....::;.~,_______
_~
Date/r-M
,
2-:;",U/O
1
~:::ntChair
R.
~~
Date
hr:
'2
~
2 J!//
0
~
7
Faculty
approval
Faculty approval indicates that all the necessary course content and overlap concerns have been resolved, and that
the Faculty/Department
commit.\'
10
providing the required Library /und\' and any other necessary resources
Faculty Graduate Program Committee
Signature
Z~
Date
SGSC
approval
Signature
------------------------------------------
Date
SGSC approval indicates that the Library report has been seen, and all resource issues dealt with. Once approved,
new course proposals are sent
10
Senate for information.
SENATE GRADUATES TUDIES
COMMITIEE FORM
1/2
NEWCRS-PPFORM REV
FEB 13 2008RTF

NEW GRADUATE
COURSE
PROPOSAL
FORM
Subject: CMPT
(max.
4
chars)
Catalog Number: _7_8_1 ____ _
Course Title: Technical Communication and
IT Project Management
(max. 80 char.)
Course
Short
Title
Description
(appears
on
for
transcripts
Calendar:
etc.)
(append
------------------------------------------
Technical
a
course
Communication
outline
as
a
separate
document)
(max.
25
char.)
l'bi6
69ku.~vers
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.
Units:
-------
3
Available Course Components:
(select all that apply)
0Lecture
DSeminar
DLaboratory
DPracticum
Prerequisites:
(if any)
Estimated
Campus
at
Enrolment:
which
course
10-15
will
be
offered:
The
------------------------------------------------
Burnaby
term
course
will
first
be
offered:
--------------------
2011-3
Frequency of course offering: Annually
Grading Basis: 0Graded
DSatisfactoryJUnsatisfactory DIn Progress/Complete
Justification:
The School of Computing Science at SFU proposes to offer the GDDP Master Program in Computing Science
to be jointly delivered by SFU and ZU. This interdisciplinary course is proposed to provide training on
technical communication and IT project management
in
the GDDP Master Program.
Resources:
Faculty member(s) who will normally teach this course:
(append information ahollt their competency to tcac/, the course)
Prof.
T.
Kirkpatrick; Prof.
U.
Glaesser
Number
of additional faculty members required in order to offer this course:
Additional space required in order to offer this course:
(append details)
n
0
1\..4..-
Additional specialized equipment required in order to offer this course:
(append detail ... )
?1
0
yr.,f,
Additional Library resources required:
(appelJd details)
Annually $
-----
One-time $
If
additional resources are required
10
offer
lhis
course, the department proposing the COllrse should be prepared to provide
information on the source(s) of those additional resources.
Upon approval of the course proposal, the Dean of Graduate Studies office will consull with the department or school regarding
other course attributes that may be required
10
enable the proper entry of the new course in Ihe student record Jystem.
S
IMONFRASER
UNIVERSIlY
5
ENATE
GRADUATE
STUDIES
COMMITTEE
FORM

NEW GRADUATE
COURSE
PROPOSAL
FORM
Subject:
CMPT
(max.
4
chars)
Catalog Number:
_7_8_1 _____ _
Course Title: Technical Communication and IT Project Management
(max. 80 char)
Short
Course
Title
Description
(appears
on
for
transcripts
Calendar:
etc.)
(append
-----------------------------------------
Technical
a
course
Communication
outline
as
a
separate
document)
(max.
25
char.)
rbi, EBwF68G,vers 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
t
and project
teamwork.
Units:
-------
3
Available Course Components:
(select all that apply)
0Lecture
OSeminar
DLaboratory
OPracticum
Prerequisites:
(if any)
Campus at which course will be offered:
-----------------------------------------------
Burnaby
Estimated Enrolment: 10-15
The term course will first be offered:
-----------------
2011-3
Frequency of course offering: Annually
Grading Basis: 00raded
DSatisfaclory/Unsatisfactory
DIn
Progress/Complete
Justification:
The School of Computing Science at SFU proposes to offer the GOOP Master Program in Computing Science
to be jointly delivered
by
SFU and ZU. This interdisciplinary course is proposed to provide training on
technical communication and
IT
project management in the GOOP Master Program.
Resources:
Faculty member(s) who will nonnally teach this course:
(append informadon about their competency to teach the course)
Prof. T. Kirkpatrick; Prof.
U.
Glaesser
Number
of additional faculty members required in order to offer this course:
---------------------
Additional space required in order to offer this course:
(append details)
/'l
()
~
Additional specialized equipment required in order to offer this course:
(append details)
?10~
Additional Librmy resources required:
(append details)
Annually $
______ One-time $
If
additional resources are required
(0
offer this course, the department proposing the course should be prepared
10
provide
information
on the source(s) of those additional resources.
Upon approval of the course proposal. the Dean of Graduate Studies office will consult with the department or schoo! regarding
other course attributes that
may be required /0 enable the proper entry of the new course in the sludent record system.
S
IMONFRASER
UNIVERSITY
5
ENA
re
GRADUA
reSTUDIES
COMMITIEE
FORM

New Graduate Course Proposal
April 12, 2010
Title:
CMPT 781: Technical Communication and Project Management
Instructor: Dr. Ted Kirkpatrick, Dr. Uwe Glaesser
Sessionals
or limited term appointments with industry experiences
Course Information
Course Number: CMPT 781
Course Title: Technical Communication and Project Management
Credit Hours: Three (3) hours of lecture per week.
Course Description:
This course 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.
Course Outline:
• Principles of technical communications
• Technical writing process
• Technical writing strategies
• Formal reports
• Business correspondence
• Project estimation and planning
8 Project tracking
• Project quality managelnent
• Project teamwork
Grading:
• Assignments (40%)
Projects and reports (60%)

Rationale for Introducing This Course
The School of Computing Science at SFU proposes to offer the GDDP Master Program in Com-
puting
Science to be delivered jointly by SFU and ZU. This interdisciplinary course is proposed to
provide training on technical communications and IT project management for the students in the
ODDP Master Program.
Scheduling and Registration Information
The course is proposed to be first offered in 2011-3 and annually thereafter.
Dr. Uwe Glaesser and DR. Ted Kirkpatric have the expertise to offer this course. Sessionals or
limited term appointments with industry experiences may be considered to teach this course.
This
is a new course that does not duplicate any current or previous courses offered by Computing
Science.
'-(7

Rationale for Introducing This Course
The School of Computing Science at SFU proposes to offer the GDDP Nlaster Program in Com-
puting Science to be delivered jointly by SFU and ZU. This interdisciplinary course is proposed to
provide training on technical communications and IT project management for the students in the
GDDP
~laster
Program.
Scheduling and Registration Information
The course is proposed to be first offered in 2011-3 and annually thereafter.
Dr. Uwe Glaesser and DR. Ted Kirkpatric have the expertise to offer this course. Sessionals or
limited term appointments with industry experiences may be considered to teach this course.
This is a new course that does not duplicate any current or previous courses offered
by
Computing
Science.
~/8

SIMON FRASER UNIVERSITY
NEW GRADUATE COURSE PROPOSAL FORM
When a department proposes a new course it must first be sent
10
the chairs of each faculty graduate program
committee where there might be an overlap in course content. The chairs
wiJ/ indicate that overlap concerns have
been dealt with by signing the appropriate space or via a separate memo
or e-mail (attach). The new course
proposal must also be sent to the Library
for a report.
Once overlap concerns have been dealt with, signatures indicate approval by the department, home faculty and
Senate Graduate Studies Committee.
D
epar t men
t
or
S
C h 00 I :
School of Computing Science
Proposed course number and title:
CMPT895 Master Program Extended Essay
Other Faculties:
t.tII -h:.uJ(j
S~5C
""' ...
~ ~
, .... h.de.J
~ e~
Other Faculties approval indicates that the Dean(s) or designate of other Faculties affected by the proposed
ne~
course support(s) the approval of the new course.
Name of Faculty
Signature
Name of Faculty
Signature
Name
of Faculty
Signature
Name
of Faculty
Signature
Name
of Faculty
Signature
Oepa rtmental approval
(non-departmentalizedfaculties need not sign)
~:::;z:zr~mnllttee
SIgnature
~epartment Cha~
,
L
~
~~
,
Faculty approval
Date
Date
Date
Date
Date
Date
Date
Faculty approval indicates that all the necessary course content and overlap concerns have been resolved, and that
the Faculty/Department commits
to providing the required Library funds and any other necessmy resources
Signature
Date
----~~~~~~~~~-----------------
SGSC approval
Signature
---------------------------------------
Date
SGSC approval indicates that the Library report has been seen, and all resource issues dealt with. Once approved,
new course proposals are sent
to Senate for information.
SENATE GRADUATESTUDIES COMMITTEE FORM
1/2
NEWCRS-PPFORM REV FEB 13200BRTF

NEW GRADUATE
COURSE
PROPOSAL
FORM
Subject: CMPT
(max.
4
chars)
Catalog Number:
895
Course Title: Master Program Extended Essay
(max. 80 char.)
Course
Short
Title
Description
(appears
on
for
transcripts
Calendar:
etc.)
(append
------------------------------------------
MSc
a
Essay
course
outline
as
a
separate
document)
(max.
25
char.)
Students
~
this Ccdi se will complete an extended essay required by the
SFU.ZU
GDDP Master Program. The
extended essay will normally be a report on a research/industry project or a survey on a specific topic in
information technology. The topic and the scope of each essay will be determined in consultation with the
supervisory
committee.
Units:
------
3
Available Course Components:
(select all that apply)
DLecture
DSeminar
DLaboratory
DPracticum
Prerequisites:
(if any)
Frequency
Estimated
Campus at
Enrolment:
of
which
course
course
offering:
10-15
will be
every
offered:
semester
The
------------------------------------------
Burnaby
term course will first be offered:
-------------------
2011-3
Grading Basis: OGraded
[(]Satisfactory/Unsatisfactory DIn Progress/Complete
J ustification:
The School of Computing Science at SFU proposes to offer the GDDP Master Program in Computing Science
to be jointly delivered by
SFU
and ZU. Students are required to complete an extended essay at SFU. This
course is proposed for students to complete the essay.
Resources:
Faculty member(s) who will normally teach this course:
(appelld informat;oll about tlre;r competellcy to teac/, the cOllrse)
The student's supervisor
.
Number
of additional faculty members required in order to offer this course:
". Iot.l..
--~~-----------------
Additional space required in order to offer this course:
(appclIll (/ctaUs)
---------------------------
~6
K.{.
Additional specialized equipment required in order to offer this course:
(appe1ld details)
"'6~
Additional Library resources required:
(append
delail.\~
Annually $
-------
One-time $
If additional resources are required to offer this course. the department proposing the course should be prepared to provide
information
on the source(s) of those additional resources.
Upon approval of the course proposal. the Dean of Graduate Studies office will consult with the department or school regarding
other course attributes that may be requi,.ed to enable the proper entry of the new course in the student record system.
SIMONFRASER
UNIVERSITY
SENATE
GRAOUATESrUOIES
COMMmEE
FORM

NEW GRADUATE
COURSE
PROPOSAL
FORM
Subject:
CMPT
(max.
4
chars)
Catalog
~umber:
895
Course Title:
Master Program Extended Essay
(max. 80 char.)
Short Title
(appears on transcripts ele.)
_tv_fS_c_E_S_S_a_y ________________
fma."'C.
25
char)
Course Description for Calendar:
(append a course outline as a separate document)
Students
U:\
tl-lic:csa: se will complete an extended essay required by the SFU-ZU GDDP Master Program. The
extended essay will normally be a report on a research/industry project or a survey on a specific topic in
information technology. The topic and the scope of each essay will be determined in consultation with the
supervisory
committee.
Units:
------
3
Available Course Components:
(select ali that apply)
DLecture
DSeminar
DLaboratory
DPracticum
Prerequisites:
(if any)
Frequency
Estimated
Campus
at
Enrolment:
of
which
course
course
offering:
10-15
will
be
every
offered:
semester
The
--------------------------------------------
Burnaby
term
course
will
first
be
offered:
------------------
2011-3
Grading Basis: OGraded
0Satisfactory/Unsatisfactory
DIn
Progress/Complete
Justification:
The School of Computing Science at SFU proposes to offer the GDDP Master Program in Computing Science
to be jointly delivered by SFU and ZU. Students are required to complete an extended essay at SFU. This
course is proposed for students to complete the essay.
Resources:
Faculty member(s) who will nOImally teach this course:
(append in/ormation aboullheir competency
10
leach the course)
The student's supervisor
Number of additional faculty members required in order to offer this course:
_-.:...J1~~:.....~
______ _
Additional space required in order to offer this course:
(appelJd details) ____ 1't-_O __
XZ-.:..... ________ _
Additional specialized equipment required in order to offer this course:
(append details)
'11-6JA..Q..
Additional Library resources required:
(append details)
Annually $
._--
One-time $
If
additional resources are required to offer this course, ihe department proposing the course should be prepared
(0
provide
information on the source(s) of those additional resources.
Upon approval of the course proposal. (he Dean o.fCraduate Studies office will consult with the department or school regarding
olher course attributes that may be required
(0
enable the proper entry of the new course in the student record system.
SIMONFRASER
UNIVERSI11'
5
ENA
TE
GRADUA
rE
S
TUOIES
COMMITTEEFORM
~(

New Graduate Course Proposal
April 12, 2010
Title:
CMPT 895: Master Program Essay
Instructor: Research Faculty Members
at
School of Computing Science
Course Information
Course Number: CMPT 895
Course Title: Master Program Essay
Credit Hours: Three (3) hours
of lecture per week.
Course Description:
Students in this course will complete an extended essay required by the SFU-ZU GOOP Master
Program.
Grading: S (Satisfactory) or U (Unsatisfactory)
Rationale for Introducing This Course
The School of Computing Science at SFU proposes to offer the GODP Master Program in Com-
puting Science to be delivered jointly by SFU and ZU. Students in this program are required to com-
plete an extended essay at
SFU. This course is proposed for students to complete the essay.
Scheduling and Registration Information
The course is proposed to be offered as needed.
Each student in the GOOP Master Program will have a supervisor at SFU. The supervisor of a
student supervises the studenfs writing of the essay.
This is a new course that does not duplicate any current or previous courses offered by Computing
Science.

Zimbra: sheilagh@sfu.ca
Page 1 of2
SFU Connect Collaboration Suite
sheilagh@sfu.ca
Fwd: New courses
From: hbai@sfu.ca
Thursday, April 29, 2010 8 :51 :09 PM
To: sheilagh@sfu.ca
forgot to C.c. this to you.
hb
Begin
forwarded
message:
From: Heesoon Bai <hbai@sfu.ca>
Date:
April 29, 2010 8:46:50 PM PDT (CA)
To: Fred Popowich <popowich@sfu.ca>
Subject: Re: New courses
Hello Fred,
We in Education see no overlap with our courses.
Best
regards,
Heesoon
On 19-Apr-lO, at 12:41 PM, Fred Popowich wrote:
Please let me know if you have any overlap concerns with the new grad course proposals from
CMPT as part of the graduate dual degree program.
Thanks
Fred<NewCMPT895.pdt><NewCMPT781.pdt><NewCMPT628.
pdt><NewCMPT627
.pdf><Ne
wCMPT626.
pdf>
In the beginner's mind there are many possibilities, but in the expert's mind there are
few. --Shunryu
Suzuki
Heesoon Bai, Ph.D.
Director
of
Graduate Programs
http://www.educ.sfu.ca/gradprogsJ
Associate Professor, Philosophy
of Education
Faculty
of Education
Simon Fraser University
8888 University Drive
Burnaby,
BC, CANADA V5A 186
hbai@sfu.ca
tel:178.782.3984
http://www.educ.sfu.ca/research/bail
Editor of Paideusis: The Journal ofthe Canadian Philosophy of Education Society
http://journals.sfu.ca/paideusis
In the beginner's mind there are many possibilities, but in the expert's mind there are few. --Shunryu
Suzuki
Heesoon Bai, Ph.D.
https:/lconnect.sfu.calzimbralmail
4/30/2010

Zimbra:
mtrautma@sfu.ca
https:/lconnect.sfu.ca!zimbralpubliclframeOpenerHeJperjsp?i
...
I
of
1
SFU Connect Collaboration Suite
mtrautma@sfu.ca
Library Report: CMPT 626, 627,628,781,895
Thu Apr 22 15:55:002010
From: mcrouch@sfu.ca
To:
popowich@sfu.ca;
art@cs.sfu.ca;
marilyo_e_trautman@sfu.ca
Cc:
gbird@sfu.ca;
ysk6@sfu.ca
Dear Fred,
I
have reviewed the proposal for the following courses:
eMPT
626: Graduate Practicum I
CMPT 627: Graduate Practicum II
CMPT 628: Graduate Practicum III
eMPT 781: Technical Communication and IT project Management
CMPT 895: Master Program Extended Essay.
No additional library resources are required to support these courses.
I
have added the courses to the appropriate list at ht1.p:llw\:vw.lib.sfu.calcollections/course-
assessnlents. This will be adequate proof of library sign-off.
If you have
any
questions, please do not hesitate to contact me.
Regards,
Megan
Megan
L. Crouch
Health
Sciences
Librarian
Collections
Librarian
SiInon Fraser University / W.A.C. Bennett Library
8888 University Drive, Burnaby, B.C. V5A 1 S6
nlcrouch@sfu.ca / Tel: 778.782.4962/ Fax: 778.782.3023
23/0412009
8:59 AM

CORRESPONDENCE

21mbra: shellagh(fYsfu.ca
Page
J
ot
1
SFU Connect Collaboration Suite
sheilagh@sfu.ca
Fwd: minor edits
Friday, May
28,2010 11:43:52 AM
From: wade -parkhouse@sfu.ca
To: sheiJagh@sfu.ca
Attachments:
CSDDPPhDRevised.docx (23.5KB)
CSDDPMScRevised.docx (19.4KB)
CSDDOExSumRevised.docx (14.5KB)
----- Forwarded Message -----
From: "Qianping
Gu" <qgu@cs.sfu.ca>
To:
"wade parkhouse
ll
<wade'-parkhouse@sfu.ca>
Cc: cameron@cs.sfu.ca, funda@cs.sfu.ca, Ii@cs.sfu.ca
Sent: Friday, 28 May, 2010 09:28:02 GMT -08:00 US/Canada Pacific
Subject:
Re: minor edits
Dear Wade,
Thanks very much for the revision comments.
We have adopted all
of them except we have
a suggestion
on the phrase
"complete comprehensive examinations"
in the
PhD proposal. Because CS has not had
comprehensive exams as the
PhD requirements
for many years, we suggest to replace
"comprehensive" with "depth and thesis proposa}fI.
Based
on the comments from the Co-op director,
we also did some minor changes on the proposed
graduate Co-op courses. I will send
you the
revised course proposals in the next email.
Thanks
Qianping
Dr. Wade
Parkhouse, Ph.D.
Dean of Graduate Studies
Simon
Fraser University
https://connect.sfu.calzimbralmail
6/1/2010

Zimbra: sheilagh@sfu.ca
Page 1 of5
SFU Connect Collaboration Suite
sheilagh@sfu.ca
Re: Fwd: dual degrees
Thursday,
May 13,2010 11:44:20 AM
From: qgu@cs.sfu.ca
To:
wade -IJarkhouse@sfu.ca
Cc:
qgu@sfu.ca;
cameron@sfu.ca;
funda_ergun@sfu.ca;
Ii@cs.sfu.ca;
driver@sfu.ca;
sheilagh@sfu.ca;
gagnes@sfu.ca
Hi Wade,
Thanks very much for the very detailed comments.
I will work with the CS working group to revise
the proposals.
Qianping
On Thu, 13 May 2010, wade_parkhouse@sfu.ca wrote:
>
>
>
>
>
>
>
>
Dear Qianping,
>
> Thank you for your answers to many of the concerns raised at the NOI stage and for
providing some context to our queries at the SGSC meeting on Monday as we reviewed the
FPP for the CS GDDP program. Please see SGSC's comments from our discussion of the CS
GDDP's listed below. I will circulate these comments under separate email to the SGSC
committee to make sure I have not missed anything, but I wanted to get you the
information quickly so that you can start to address their comments and make the
necessary revisions. I am well aware of the urgency of moving this program forward in
an expedited manner and will attempt to do so given the desire to have this program in
place for September. I will convey any other comments that I receive from SGSC (should
I receive any) .
>
>
1) SGSC expressed some concern that the rationale for the program was not
particularly strong as described in the document.
>
>
>
>
>
> I would suggest adding something like this. The rationale for developing jointly
awarded graduate degrees with international partners is to foster internationalization
of graduate research programs and enhance student mobility and exchange - both key
drivers in the globalization of research education. Collaborative degree programs lead
to a more sustainable type of relationship than many other internationalization
strategies and bring important academic benefits. The benefits include: international
student mobility; knowledge transfer; international research collaboration; recognition
of partner university qualifications in other countries; employment prospects for
students; research as a career for high caliber students; enhanced recruitment of
excellent graduate students; access to additional sources of student financial support.
>
>
>
>
>
2) The committee was concerned that the programs (PhD and Masters) as designed looked
more like joint programs than as double (or dual at SFU) degree programs. Their
reasoning is based on the following emerging definition of international collaborative
https:llconnect.sfu.calzimbralmail
51
5/13/2010

Zimbra: sheilagh@sfu.ca
Page 2
of5
programming at the doctoral level (see below). I believe they had interpreted the Nor
to be a joint program that would offer two parchments each recognizing the other
institution. Given that that is not our current understanding and the program is
intended to be a double (dual) degree without such recognition on the parchments, the
question emerged as to why the degree requirements do not appear to be much different
from your regular degrees, and thus the committee was left with the impression that the
individuals would be essentially be getting two degrees for the same work as a student
doing a single degree in your graduate program. I believe your explanation of the
additional components associated with the two programs that you explained verbally
needs to be incorporated into the document, and additional consideration of other
components that make the program more intensive than a single degree could be outlined
(explained) or incorporated. I believe the committee is fully aware that merely trying
to work in two countries itself will add to the complexity of the degrees. Outlining
the additional elements in the document with a statement such as - In addition to
meeting all of the normal requirements for a PhD in either partner institution,
students will be expected to ............. - will allieviate much of SGSC's programming
concerns and make the program proposal clearer.
>
>
>
>
>
> I have extracted the relevant information on types of collaborative programs
(extracted from the Universities21 Collaborative PhD project and the CAGS workshops on
international joint programming) for your information to understand the context of our
questions related to the type of programming being recommended.
>
>
> We recognize that the terminology used to refer to collaborative programs can be
confusing and unclear. The following definitions reflect the terminology that is slowly
being adopted by the Canadian Association of Graduate Studies and proposed by the
Universities 21 Jointly-awarded PhD project partners that includes UBC and McGill, and
other institutions from Australia, China, Hong Kong, India, Ireland, Japan, Mexico, New
Zealand, Singapore, South Korea, Sweden, United Kingdom, and USA but is not universally
accepted. Note that it differs from the "dual degree" terminology used at SFU but the
principles appear consistent with both the UG DDP and the Master of Digital Media
programs at SFU.
>
>
>
>
>
A jointly-awarded degree program awards one qualification upon completion of the
collaborative program requirements established by the partner institutions. In this
case, the student receives one degree, awarded and jointly recognized by both
institutions. This may be one or two parchments but each parchment clearly states the
award is a "joint" and awarded for one piece of work. A jointly-awarded degree is
normally completed in the same period of time as a degree from either partner
institution and normally requires a relatively minor amount of additional scholarly
activity and/or courses to be taken. \vhen two parchments are awarded, each
recognizing the other institution, it is sometimes referred to as a "dual degree".
>
> A jOintly-awarded degree is a qualification conferred upon a student on completion of
a collaborative program established by the partner institutions and is characterized
by:
>
> .
>
> .
>
> .
>
meeting the academic requirements of both universities;
agreement regarding a lead institution;
joint supervision;
> .
a single degree awarded for one thesis/dissertation;
>
> .
parchment(s) issued which indicate that there has been joint supervision
and that a portion of the work was completed at the partner institution.
>
>
https:/lconnect.sfu.calzimbralmail
5113/2010

Zimbra:
sheilagh@sfu.ca
>
>
Page 3 of5
>
A double degree program awards two individual qualifications upon completion of
~he
collaborative program requirements established by the two partner institutions. In this
case, the student receives two degrees awarded separately by two different institutions
for one piece of work. The amount of scholarly activity, courses taken, and the
duration of the study are more extensive than either single degree program in order to
meet the requirements of both the partners but less than the sum of both degree
programs requirements.
>
> A double degree is two qualifications conferred upon a student on completion of a
collaborative program established by the partner institutions and is characterized by:
>
>
>
meeting the academic requirements of both institutions;
> .
agreement that the amount of scholarly activity, courses taken, and the
duration of the study are more extensive than either single degree program in order to
meet the requirements of both the partners but less than the sum of both degree
programs requirements.
>
> .
>
> .
>
joint supervision:
two degrees awarded for one thesis/dissertation;
> •
separate parchments from the partner institutions without recognition of
the partner on the parchment.
>
> SGSC understands that models will vary between countries but questions regarding
accreditation, recognition, quality assurance and legitimacy must be addressed and for
the most part are in your proposal.
>
>
In all cases, including our co-tutelles (individual joint degrees), the individual
partnership agreements must address details on residency requirements; tuition and
other fees; student financial support; funding arrangements for travel of the students,
supervisors, and examiners; student insurance coverage; visa requirements, admission
requirements and application process; supervisory practice: copyright; authorship;
intellectual property; annual progress evaluations; thesis submission and examination
procedures;
and others as needed. Your program proposal has addressed many but not
all of these details but we recognize that some of them would not normally appear in a
FPP
but will need to be addressed.
>
>
3) SGSC was pleased to hear that you had addressed the question from SGSC of
dissertation quality at ZU. It would be good to add a paragraph outlining the
assessment of their dissertation quality in the document to address the similar
concerns that may be raised at SCUP or Senate and strengthen the proposal.
>
>
4) A question was asked about student interest in this program, particularly from the
SFU side. A paragraph outlining the demand for the program at both institutions would
be beneficial.
>
> 5) A
ques~ion
was asked about the ability of the School to absorb both the masters
and PhD students given the expected numbers. This was addressed at the meeting and a
sentence addressing this concern in the document would add strength to the proposal.
>
> 6) The committee was concerned that many issues related to student expectations
related to financial support: funding arrangements for travel of the students,
supervisors, and examiners: student insurance coverage; supervisory practice;
copyright; authorship; intellectual property; annual progress evaluations; thesis
submission and examination procedures: were inadequately addressed. While we
understand that many of these cannot be incorporated into the document, a statement
that says something like "unless specifically addressed in the program, all General
Graduate Regulations and graduate administration practices at SFU will be adhered to"
would be good. I think three of the biggest issues concerning the students are IP,
annual progress evaluations and copyright/thesis withholding privileges.
>
>
>
https://connect.sfu.ca/zimbrairnail
5/13/2010

Zimbra: sheilagh@sfu.ca
Page 4
of5
>
>
Specific areas that need to be addressed in the PhD and Masters DDP and additional
comments
>
>
a) In the admission component of the PhD DDP the committee would like to
see
the
statemen~
revised to say that "nor.mally students are admitted to the PhD DD? within the
first
yea~
of study at the partner institution" because of concerns over the length of
time it can take to get a VISA and how far along in their program they will be when
they initate the program of study at the partner insitution. In the admission component
of the Masters DDP the committee would like to see the statement revised to say that
"normally students are admitted to the masters DDP within the first 8 months of study
at the partner institution" because of concerns over the length of time it can take to
get a VISA and how long far along in their program they will be when they initiate the
program of study at the partner institution.
>
>
b) The program "Breadth" requirements section of the PhD DDP was particularly
confusing and should be divided into sections with headings to make it easier to
follow. The Thesis requirements section related to the depth seminar and examination
was also confusing and should be re-written. One concern is the scheduling of depth
seminar and examination that is open-ended - can be scheduled at any time after
completion of the breadth requirement. We recommend that a time limit be attached
consistent with admission time table - something like within three years of initial
admission to either University.
>
> c) SGSC feels that there must be two faculty members from SFU as per our GGR on the
supervisory committee of the PhD DDP and expects that ZU would also have two faculty
members on every committee but that is up to their University. SGSC feels it is needed
to address potential supervisor-student issues and to provide more quality assurance.
This issue was rasied at the NOI stage and partially addressed but SGSC does not feel
that as addressed it is adequate.
>
> d) The committee felt that a statement outlining that annual committee meetings will
be held with participation of supervisory committee members from each institution at
least once annually is needed. You commented that this would likely happen via video-
conferencing. Inclusion of such a statement will strengthen the program proposal.
>
>
e) The committee was concerned about the residency requirements being only one year
at either institution in the PhD DDP given the SFU GGR but accepted that this would be
expressed as the minimum and that it was expected that students would likely spend
closer to two years minimally at each institution.
>
>
fi The cOITmittee is pleased that approval of the thesis/dissertation examining
committee for the PhD DDP by the SFU independent of where the examination is taking
placed will be required as indicated by SFU GGR 1.9 and 1.10 which you acknowledge in
the proposal.
>
> g) Concern was still expressed that the potential overlap between courses has not
been reviel ... ed and this \d11 need to be completed in the near future and fon ... arded to
SGSC for inclusion in the program.
>
>
>
> *Please note that we will need a calendar description for the new program relative to
CS existing calendar entry. *Please note that we will need a calendar description for
the new program relative to CS existing calendar entry.
>
>
> Please do not hesitate to discuss any of the items above with me as you craft the
revised FPP.
>
>
>
Regards
>
>
> Dr. Wade Parkhouse, Ph.D.
>
Dean of Graduate Studies
> Simon Fraser University
https:l/connect.sfu.ca/zimbra/mail
5/1312010

NOTICE OF INTENT

MEMO
Dean of
Graduate Studies
~1'R
HE"!" A Dim ESS
Maggie Benston
Student Services
Centre 1100
Burnaby Be v sA ISO
Canada
MAILlN(; ADl>ltESS
8888 University Drive
Burnaby BC VSAISO
Canada
<- .•
I
TO Senate Committee on University Priorities
I
TEL
I
FROM Wade Parkhouse, Dean, Graduate Studies l.)
~
RE Faculty Applied Sciences: Notice of Intent for SFU/ZU
Graduate Dual De fee in Com utin Science GS20 10.09
CC
F.
Po owich
I
DATE April 21,2010
At its meeting of12 April 2010, SGSC reviewed the proposal for a graduate
dual degree program in Computing Science and i,s recommending it to SCUP.
Faculty of Applied Sciences
[GS2010.09]
School of Computing Science
Notice of intent for SFU/W Graduate Dual Degree Program in Computing
a. MSc Propos a] - SFU/ZU GDDP
b. PhD Proposal- SFU/ZU GDDP
SIMON FRASER UNIVERSITY
THINKING OF THE WORLD

SFU Connect Collaboration Suite
sheilagh@sfu.ca
FVv'd: NOI and FPP
Tuesday, April 20, 20102:49:48 PNI
From:
popowich@fas.sfu.ca
To: wade-parkhouse@sfu.ca
Cc:
gagnes@sfu.ca;
sheilagh@sfu.ca;
art@cs.sfu.ca;
cameron@cs.sfu.ca
Attachments:
NoI.pdf (45.4KB)
Hi Wade
Please find attached the revised notice of intent for the Graduate Dual Degree Program. We are putting together the information
for the full program proposal, and shvuld have it to you at the beginning of next week.
I
feel that the key concerns of the SGSC have been addressed, and we will be resolving the remaining issues over the next few
days as the full program proposal comes together.
Let me know if you have
any
concerns.
Cheers
Fred
Fred Popowich, Ph.D.,
Associate Dean
Faculty of Applied
Sciences
Simon Fraser University
Phone: (778) 782-4193
Fax: (778)
782"5802
Email: popowich@fas.sfu.ca
https:llconnect.sfu.calzimbralmail
4/20/2010

Notice of Intent
SFU-ZU Graduate Dual Degree Programs (GDDP)
Qianping Gu and Ze-Nian Li
School of Computing Science
April 20, 2010
Executive Summary
• The School of Computing Science at SFU proposes to offer graduate dual degree programs
(GDDP)
in Computing Science to be delivered jointly by SFU and Zhejiang University
(ZU),
China.
The proposed
GDDP
includes a
PhD
program, leading to
PhD
degrees from both universities.
This program is
to be offered with per-semester tuition fees at SFU.
• The
GDDP
also includes a iY£aster program, leading to masters degrees from both universities.
This
program is to be offered with per-credit tuition fees at SFU.
• In both programs, students will study and do research at both SFU and ZU and be supervised
by faculty members from
both universities.
• The working language at SFU is English. Students may work in English at either university.
Students who prefer to do so may work in Chinese at ZU.
• The intended start date of both programs is September 2010.
Rationale
The GDDP is an extension of our current undergraduate dual degree program
(DDP)
with ZU.
ZU is ranked among the top 3 universities in China. We already have strong links \\oith ZU in both
teaching and in research collaboration.
DDP
has attracted more than
30
students from
ZU
annually.
The first cohort of
DDP
students are now in their senior year at
SFU
and more than half of them
have a CGPA of 3.5 or better. Many of these students are now applying to graduate programs
at top universities. We believe that the graduate dual degree programs will attract outstanding
DDP
students. Further, we believe that the existence of the programs will allow us to attract other
excellent
grflduate students who sec the benefit of such an international program. These
programs
are expected to prepare graduates to lead research and development in both universities and industry.
These graduates will have a unique background with experience in research, teaching, and R&D in
both Canada and China.
1. Credential to be awarded:
Graduates of the GDDP PhD program will receive a PhD in Computing Science from SFU and
a PhD in Computer Science from ZU.
Graduates of the GDDP Master program will receive an MSc degree in Computing Science from
SFU and a 1vlaster of Software Engineering (MSE) degree from Zu.
2. Location:

SFU Burnaby and Surrey campuses and ZU campuses.
3.
Faculty:
Faculty of Applied Sciences.
4. i\.nticipated program start date:
September 2010.
5. Description of the proposed programs:
Aims, goals, and/or objectives
The GDDP programs will serve students from SFU and ZU. At the completion of the GDDP
PhD program, students will receive a PhD in Computing Science from SFU and a PhD in
Computer Science from ZU. At the completion of the GDDP 1tIaster program, students will
receive an MSc degree in Computing Science from SFU and an wISE degree from ZU. These
programs are expected to
attract outstanding graduate students to SFU and prepare graduates
to lead research and development in both universities and industry. These graduates will have a
unique background with experience in research, teaching, and
R&D
in both Canada and
China.
Anticipated contribution to mandate and strategic plan of the institution
The GDDP programs are key components of internationalization, a strategic goal of the School
of Computing Science, the Faculty of Applied Science, and SFU.
Content
Students in either GDDP program must be admitted first to a degree program in their "home"
university. They will then apply to the program and be admitted by the "partner" university.
The
GDDP PhD
Program
• Degrees Offered - Graduates of the GDDP PhD program will receive a PhD degree in
Computing Science from SFU and a PhD degree in Computer Science from the College of
Computer Science and Technology at ZU.
• Student Supervision - Each student will be supervised by a supervisory committee
consisting of a primary senior supervisor
at the home university, a co-senior supervisor
at the partner university) and at least one other faculty member at either university. It
is recommended that the committee consists of a senjor supervisor and one other faculty
member at each of the universities.
• Completion Requirenlcnts
- Breadth Requirements - Students without a master's degree in Computing Science
are required to complete at least 24 credits of course work. Students with master's
degree in Computing Science are required to complete at least 12 credits. The courses
taken must satisfy the breadth requirements
for the PhD program in Computing
Science
at SFU and the course requirements for the PhD program in Computer Science
at ZU. Details of curriculum articulation between the two universities courses are
included in the full program proposal.

- Culture and Language Course Requirements -
8FU
students without a mas-
cer's degree in Computing Science are required to complete at least 6 credits at ZU
from Chinese culture and language courses.
SFU
students with master's degree in
Computing
Science are required to complete
at
least
3
credits at
ZU
from Chinese
culture and language courses. ZU students are required
to
complete ZU social sciences
courses specified
by ZU.
- Thesis Requirements - Students are required to satisfy the existing thesis require-
ments for the
PhD program in Computing Science at SFU. Each student is required
to complete one
PhD thesis. The thesis will be written in English and must meet
both 8FU's and ZU's standards.
- Residency Requirements - Students are required to complete about half of the
required credits at each university. Students are required to do research at both
universities. Students are required to reside at each university for at least. one year.
A
brief summary of requirements for the GDDP PhD program and existing PhD programs
at SFU and ZU is attached at the end of this notice in Table 1.
• Funding and tuition fees - A student in this program will pay SFU's per-semester
tuition
fees while at SFU. While at SFU, a student may receive financial support from
8FU through scholarships, TA's, and/or RA's as
if
they are the student enrolled in the
regular PhD program at SFU. vVhile at ZU, a students will pay ZU's per-year tuition fee
and may receive financial support from ZU.
Withdrawal from the Program -
If
a student should withdraw from the program,
he/she remains a student at the home university.
• Expected Enrolln1ent - Initially, we expect the program to admit 5 to 6 students
annually.
The GDDP lVlSc program
• Degrees Offered - Graduates of the GDDP Master program will receive an MSc degree in
Computing
Science from SFU and an 1V1SE degree from the College of Software Technology
at ZU.
• Student Supervision - Each student will be supervised by a supervisory committee
consisting
of a senior supervisor at the either university and at least one other faculty
member
at the other university
• Completion Requirements
- Breadth ]lequirements - Students are required to complete at least 20 credits of
graduate courses in
Computing Science. The courses taken must satisfy the breadth
requirements specified for this program. Those requirements include roughly both the
breadth requirements for the MSc program (project option) in Computing Science at
SF'U and the course requirements for the MSE program at ZU. Details of curriculum
articulation between
the two universities courses are included in the full program
proposal.
-
Culture and Language Course Requirements - SFU students are required to
complete at least. 3 credits from Chinese culture and language courses at ZU. ZU
students are required to complete ZU social sciences courses specified by ZU.

- Essay Requirements - Students are required to complete two extended essays) one
at each university. The SFU essay will be written in English. The ZU essay will be
written in either English or Chinese.
If
the essay is written in Chinese, the author is
required to provide an English translation.
Each extended essay will normally be a report
on
a research/industry project or a
survey on
a
specific topic in information technology. The normal length of the SFU
essay will be 15-30 pages. The topic and the scope of each essay will be determined
in consultation
with the supervisory committee. The work load of the SFU essay
normally is equivalent
to that for 3 units of SFU graduate course work and the essay
is given
3 credits. The SFU essay will be evaluated with P or F grades by the student's
SFU supervisor.
-
Practicum Requirements. Students are required to complete a one-term indus-
try /research practicum at either university. The practicum at SFU will normally be
arranged by the Co-op office at Computing Science. Students may complete a research
project with faculty members at either university for the practicum. Students may be
paid for their practicums in the Co-op or research assitance.
-
Residency Requirements - Students are required to complete about half of the
required credits
and one extended essay at each university.
A
brief summary of requirements for the
GDDP
Master program and existing NIaster
programs at SFU and ZU is attached at the end of this notice in Table 2.
• Funding and tuition fees - A student in this program will pay SFU's per-credit tuition
fees while at SFU. While at SFU) financial support is not guaranteed but students will
be given opportunities to do paid practicum in industry through Co-op. While at ZU, a
students will pay ZU the tuition fee specified by ZU and may receive financial support
from ZU.
Withdrawal from the Program - If a student should withdraw from the program,
he/she remains a student at the home university.
• Expected Enrollment - Initially) we expect the program \vill admit up to 15 students
annually.
Delivery methods
In addition to the conventional supervisory activities at each university, supervisory committee
meetings with all committee melnbers from both universities will be arranged on demand. For
the GODP PhD program, there is no change in course delivery. For the GDDP Master program)
extended essays, practicums) and a new gra.duate course on Technical Communication and IT
Project Ivlanagement (CMPT 781) will be included.
Linkages between learning outcomes and curriculum design
The research and graduate courses at SFU are more focused on t.he advanced theory and
methodology than at ZU. The research and graduate courses at ZU are more focused on applying
the advanced theory and methodology to practice. ZU recruits very high quality students.
The
GDDP
programs are expected to attract top students. The curriculum will take the
advantage of the combined strengths of the faculty members at SFU and ZU, giving students
the opportunity to master the advanced theory/methodology and to apply them. It is expected

that the programs will produce graduates to lead research and development in both universities
and industry. These graduates will have a unique background with experience in research,
teaching:
and R&D in both Canada and China.
Distinct characteristics
The GDDP programs are unique and are designed to take advantage of the excellent research
and teaching environments at both SFU and ZU.
Anticipated completion time for the degrees
Under normal circumstances, the time for completing the GDDP PhD program is withL.'1 6
calendar years for students with only a B.Sc. degree, within 4 calendar years for students who
already hold an rvLSc. degree in Computing Science or a related field, and no longer than
8 calendar years for all students. Under normal circumstances, the time for completing the
GDDP
~fa.ster
program is within
3
calendar years and no longer than
6
calendar years.
The completion time of regular PhD students in SFU Computing Science is about 5 calendar
years in average. The completion time of regular !vISe students in SFU Computing Science is
about 2.5 years in average. (These numbers are based on students completing during the past
year.)
Enrollment plan for the length of the program
Injtially, the GDDP PhD program is expected to admit 5 to 6 students annually, and the GDDP
Master program is expected to admit up to 15 students annually.
Policies on faculty appointments
No changes.
Policies on student evaluation
No changes.
Policies on program assessment
No changes.
Level of support and recognition from other post-secondary institutions (including
plans for admissions and transfers) and relevant regulatory or professional bodies
Support from other institutions (except ZU) is not required.
Evidence of student. interest and 1abor Inarket dClnand
A large number number of DDP, SFU, and ZU students have shown a strong interest in the
programs.
Related programs in other British Colutnbia post-secondary institutions
The GDDP programs will be unique in British Co1umbia.
6. Contact Information:
See below.

Additional Information Required by SFU
A .. Contact information for the faculty member responsible for program development
Qianping Gu, School of Computing Scienc8, 778-782-6705, qgu@cs.sfu.ca
Ze-Nian Li, School of Computing Science, 778-782-3761, li@cs.sfu.ca
B. Summary of requirements for graduation (courses, projects/thesis etc.)
The normal course and thesis requirements for the PhD degrees at SFU and ZU apply to the
GDDP PhD program. The normal course and essay requirements for the !vfSc degree at SFU
and the NISE degree from
ZU
apply to the
GDOP
TvISc program. The GDDP
~ISc
program
also requires a one-term practicum or
research/industry project.
C. Summary of resources (faculty members, space,equipment) required to implement
the programs
The programs will receive some financial support from
SFU.
Please see the attached financial
model for more detail.
The programs are expansions of the regular graduate programs in the
School of
Computing Science and will share resources with the regular graduate programs.
D. Brief description of any program and associated resources that will be reduced or
eliminated when the new programs are introduced
None.
E. List of faculty members who will be teaching/supervising, what percentage of their
teaching will be devoted to the program, and their areas of research specialization
All research faculty members in the School of Computing Science will be involved with the
programs.
F. For a program where the intention is to charge a premium fee, a budget.
The financial model for the programs will be included in the full program proposals
.

Table
1. PhD
Programs Requirements (Outline)
PhD at SFU CS
PhD at ZU
GDDP PhD
Graduate course
24 units, at least
34 units,
26 units
SFU students: 30 units, 24
work for Students
18 units from CS
from CS major)
units from
CS major course,
with only BS degree
major courses
courses, 8 units
6 units from Chinese culture
from social sciences
ZU Students: 34 units, 26
units from CS major courses,
8 units from social sciences
Graduate course
12 units, at least 14 units, 12 units
SFU students: 15 units, 12
work for Students
9 units from CS
from CS major)
units from
CS major courses,
with an wISe degree
major courses
courses, 2 units
3 units from
Chinese culture
from social sciences
ZU Students: 14 units, 12
units from CS major courses,
2 units from social sciences
Thesis
One PhD thesis
One PhD thesis
One PhD thesis
Table 2. Master Programs Requirements (Outline)
SFU General
!VISc at SFU CS
MSE
at ZU
GDDP Master
Project Option
Project Option
Graduate
20 units
24 units, at least
25 units, 19 units
SFU students: 23 units,
Course
18 units from CS
from CS major
20 units from CS major
Work
major courses
courses, 6 units
courses, 3 units from
from social sciences
Chinese culture
ZU Students: 26 units,
20 units from CS major
courses, 6 units from
social
sciences
Project
Two essays or
One project
One project
One essay at SFU and
one project
one essay at Z
U
Practieum
One term practicum
One term practicum
70

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