MEMO
Dean of
Graduate Studies
STREET ADDRESS
Maggie Benston Student
Services Centre 1100
Burnaby BC V>A iSf>
Canada
MAII.INC ADDRESS
8888 University Drive
Burnaby BC V>A iS6
Canada
SFU
S.12-100
TO Senate
TEL
FROM Wade Parkhouse, Dean, Graduate Studies
^€Vc-e>
RE Faculty of Science
[GS2012.21
CC Peter Ruben
DATE 17 May 2012
For information:
Acting under delegated authority at its meeting of 14 May 2012, SGSC approved the
following curriculum revisions:
Effective Date is January 2013
Faculty of Science
Department of Statistics and Actuarial Science
i) New courses:
STAT 645-3 Applied Multivariate Analysis
STAT 675-3 Applied Discrete Data Analysis
STAT 685-3 Applied Time Series Analysis
i) Delete course:
STAT 602-3
(GS2012.21]
Senators wishing to consult a more detailed report of curriculum revisions may do so by going
to Docushare: https://docushare.sfu.ca/dsweb/View/Collection-126R2
If you are unable to access the information, please call 778-782-3168 or email
shellev uair@sfu.ca.
SIMON FRASER UNIVERSITY
ENGAGING
THE
WORLD
Simon Fraser University
MEMORANDUM
To:
Wade Parkhouse
Dean of Graduate Studies
Re:
STAT 645, 675, 685
Comments for SGSC
From:
Richard Lockhart, Chair
Statistics
&
Act Sci
Date:
May 2, 2012
Dear Wade:
Tim Swartz, our Graduate Chair, has passed on the SGSC's concerns surrounding
our proposal to make three of our applied undergraduate courses available to graduate
students in other departments by cross-listing them with graduate and undergraduate
numbers. I am attaching modified course proposal forms which make clear the separate
nature of the graduate marking and clarify our intention to require graduate students
to bring relevant research problems to the class whenever this is possible within their
programs.
The SGSC also made a number of other suggestions which would require more re
sources; we agree that all the things they request would be useful but we don't have the
resources.
Here are brief replies to the four specific comments raised in your email to us:
a,d) You ask us to schedule an extra contact hour for graduate students and indicate a
preference for a completely separate course. I would like to do this but cannot within
the faculty resources I have available. These courses are service courses which will
likely draw small numbers of students from a mixture of other departments where
the student's advisory committee considers that a course like this would be useful to
that particular student. To mount separate courses would surely require a faculty
appointment and I don't see that as likely.
b,c) You ask us to require a research presentation from other graduate students and to
clarify that graduate students will be graded separately. We have strengthened the
language around the research presentation requirement. We do think that it will
usually be sensible for the instructor to require such a presentation but have left the
word ''normally"in the documents to provide for situations where the student has
no relevant research data or program or has not yet arrived at a point in the degree
where this could work. We have changed the language on the forms to clarify that
graduate students will be evaluated separately and that the project requirements
will be more substantial but we don't want to be more prescriptive to instructors
concerning assignments and examinations.
1
I wish I had the resources to do more for graduate students in other departments. We
already are
running 3 such service courses a year - two cross-listed - and we cannot do
more without extra resources.
My best,
Richard Lockhart, Chair
4/25/12
SFU Connect
SFU Connect
sheilagh@sfu.ca
Fwd: SGSC Follow up : STATS courses
From
: Wade Parkhouse <wade_parkhouse@sfu.ca>
Wed, Apr 25, 2012 08:31 AM
Subject:
Fwd: SGSC Follow up : STATS courses
To
:tim swartz <tim@stat.sfu.ca>
Cc:
Peter Ruben <pruben@sfu.ca>, Sheilagh
MacDonald <sheilagh@sfu.ca>
Tim,
Your new course proposals listed below were tabled at the April SGSC meeting. SGSC would like
them revised and brought forward for another SGSC meeting. As these are "piggy-backed courses"
SGSC felt that more detail was needed in relation to the expectations for receiving graduate credit in
these courses. They felt that in general, merely indicating that "where feasible and appropriate, students in
Stat XXX would be encouraged to present their research problems involving categorical data as active
case studies for class", and having graduate students submit a more extensive project related to their
speciality,
were
insufficient.
Specific
quesnons/comments:
a) Why wouldn't the graduate students have extra contact with the instructor as a separate group? In
many units this takes the form of an extra contact hour per week.
b) Would it not make more sense to
require
that "students in Stat XXX would be encouraged to
present theirresearch problems involving categorical data as active case studies for class'?
c) How is the grading scheme being adjusted for graduate students relative to undergraduate students
given that it appears they are writing the same examinations/assignments? Are they the same? If so, how
will the grading scale be differentiated to reflect a graduate levelcourse? Separate exams/assignments are
usually
preferable.
d) Please explain why a separate graduate course cannot be offered as this is always preferable.
Please address these points in a
memo and make whatever changes you feel appropriate in the courses.
The committee was very appreciative of the intent of these courses, that being to improve opportunities
for UG and Grad students in other disciplines.
Wade
5.6 Faculty of Science
[GS2012.21]
Department of Statistics and Actuarial Science
i)
New courses:
STAT 645-3 Applied Multivariate Analysis
STAT 675-3 Applied Discrete Data Analysis
https://connect.sfu.ca/zimbra/h/printmessage?id=168369
1/2
4/25/12
SFU Connect
STAT 685-3 Applied Time Series Analysis
Concerns were raised re: combined undergraduate/graduate courses.
Tabled:
To be sent back to the department for greater clarity re: the role of graduate
students, the additional requirements and the grading scheme.
https://connect.sfu.ca/zimbra/h/printmessage?id=168369
2/2
SFU
Rick Routledge
Departmentof Statistics and Actuarial Science
Simon Fraser University
Room K 10561
8888 University Drive, Burnaby,
BC
Canada V5A1S6
TEL 778.782.4478
FAX 778.782.4368
MEMORANDUM
ATTENTION
FROM
RE:
Dr. Peter Ruben, Associate Dean of Science,
Research and Graduate Studies
Rick Roudedge
Graduate Curriculum Revisions
DATE
March 1,2012
PAGES 1/1
www.stat.sfu.ca/~roudedg
We are hereby submitting proposal for changes to graduate courses approved at a meeting of the
Department of Statistics and Actuarial Science on February 10, 2012. These are associated with a
larger proposal for changes to the undergraduate major, honors, and minor programs in statistics
offered by the department.
The graduate courses in the attached proposal are to be taught in
parallel with undergraduate courses which we propose to delete, add, or amend as part of the
curriculum review package. These changes are aimed at improving opportunities for graduate and
undergraduate students focusing in other disciplines to learn specialized techniques in applied
statistics. We hope that your committee will find this to be a positive development.
Sincerely,
Mi^i^
Rick Routledge
cc. Dr. George Agnes, Associate Dean of Science, Academic
Dr. Richard Lockhart, Chair, Department of Statistics and Actuarial Science
SFU
MEMORANDUM
FACULTY OF SCI
Statistics & Actuarial Science
SC K10545
8888 University Drive, Burnaby, BC
Canada V5A 1S6
TEL 778.782.3803
FAX 778.782.4368
attention: faculty of science graduate studies committee
from
Dr. Tim Swartz, Department Graduate Chair
RE:
DELETION OF STAT 602 GENERALIZED LINEAR AND NONLINEAR MODELLING
www.stat.sfu.ca
DATE
March 6,2012
PAGES
1
STAT 602 is to be replaced by STAT 645, a course focused more on the primary
application (to the analysis of discrete date) of this general methodology. The companion undergraduate
course, STAT 402, is similarly to be replaced by STAT 445 and this is why this graduate course deletion
is initated.
This proposal is to be presented to the Faculty of Science Graduate Curriculum
Committee for further procedure in order to have the course deleted from the Calendar.
The course deletion was approved at the Department of Statistics and Actuarial Science
meeting held on February 10, 2012.
Regards,
j^en<?0 :
Sr/n bo2<>
cr^.s
r.**
- /^->
Dr. Tim Swartz, Gradua
c
e Program Chair
SIMON FRASF.R UNIVERSITY
ENGAGING THE WORLD
SIMON FRASE'R UNIVERSITY
DEAN OF GRADUATE STUDIES
New Graduate Course Proposal Form
EE2> PROPOSED COURSE
Program (eg. MAPH) STAT
Course Title (max 80 characters)
Applied Multivariate Analysis
Number (eg. 810] 645
Short Title(appears on transcripts, max 25 characters)
Appl. Multivariate Anal.
Units (eg. 4] 3
Course Descriptionfor SFU Calendar • see attached document 0 Learning outcomes identified
Introduction to principal components, cluster analysis, and other commonly used multivariate
techniques.
Available Course Components: EJLecture DSeminar ^Laboratory • Practicum DOnline •
GradingBasis 0 Letter grades • Satisfactory/Unsatisfactory • InProgress/Complete
This is a capstone course DYes • Nc
Prerequisites (if any) • see attached document (if more space is required)
STAT 302 or STAT 305 or STAT 650 or permission of instructor. Open only to graduate students in departments other than Statist. &Actuarial Sci.
—X-
.
[This proposed course is combined with an undergrad course: Course number and units: STAT445'3
Additional course requirements for graduate students • See attached document (if this space is insufficient)
Students in STAT 645 will normally present their research problems involving categorical data as
active case studies for the class. Graduate students will also be required to submit a project related to
their specialty; graduate student projects will be more extensive than those of students in STAT 445.
Campus at whichcourse will be offered (check all that apply) [MBurnaby • Vancouver • Surrey DGNW •.
Estimated enrolment
10
Date of initial offering
Spring 2013 (tentative)
Course delivery (eg. 3 hrs/week for 13 weeks)
3 hrs/week for 13 weeks
• Yes HfNo
Practicum work done in this class will involve children or vulnerable adults
(If the "Yes" box ischecked, all students will require criminal record checks)
Justification f/jSee attached document (if more space is required)
i.alorg w:n STAT44S. u (Mstgctd li
l
nttOtot
base HMig '"applied
fl'Qrafljal#and gradual? stjdents .n olrw d-ibpUrcs i
1
tot
unc«'gradua:e s»jj*Ms majofng b
••» RESOURCES
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.
Faculty member(s) who will normally teach this course • information about their competency to teach the course is appended
Altman, Bingham, Campbell, Graham, Hu, Insley, Lockhart, Loughin, McNeney, Routledge, Schwarz, Swartz, Tang, Thompson
Number of additional faculty members required in order to offer this course
0
Additional space required in order to offer this course • see attached document
0
Additional specialized equipment required in order to offer this course • see attached document
0
Additional Library resources required [append details) • Annually SJL
0
• One-time $.
Revised April 2012
1/
PROPOSED COURSE
from first page
Program leg. ECON) STAT
Course title (max 80 characters)
Applied Multivariate Analysis
Number(eg.
810) 645
Units (eg. 4) 3
r.T"~> APPROVAL SIGNATURES
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 (attached to this form).
The new course proposal must also be sent to the Library for a report on library resources.
Once overlap concerns have been dealt with, signatures indicate approval by the department, home faculty and
Senate Graduate Studies Committee.
Other Faculties
The signature(s) below indicate 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 of Dean or Designate
Date
See-' Armcjiets
Departmental Approval
(non-departmentalized faculties need not sjgn
Department Graduate Program Committee
Department Chair
.
.
Signature
Signature
<7?&U
Date
M&rVa
Date
Mar V)^
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 Library funds and any other necessary resources.
Faculty.Gr-ad-^Te^Program Committee
Signature
----,
ceres 'i^^vA
Date
£^A<Wu7o\7
Senate Graduate Studies Committee Approval
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.
LOx
Signature ,.
Date
cw^5
•Z-ZV
A
1*2-
L2^>
CONTACT
Uponapproval of the course, 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 entry of the new course in the student record system.
Department / School / Program
Statistics & Actuarial Science
Contact name
Rick Routledge
Contact email
routledg@sfu.ca
STAT 645 3
Applied Multivariate Analysis
Appl. Multivariate Anal.
Course Description:
Introduction to principal components, cluster analysis, and other commonly used
multivariate techniques.
^
Prerequisites:
STAT 302 or STAT 305 or STAT 650 or permission of instructor. Open only to graduate
students in departments other than Statistics and Actuarial Science.
^
Additional course requirements for graduate students:
Students in STAT 645 will normally present their research problems involving
categorical data as active case studies for the class. Graduate students will also be
required to submit a project related to their specialty; graduate student projects will be
more extensive than those of students in STAT445.
Justification:
This course, along with STAT 445, is designed to serve a need for basic training in
applied multivariate analysis for advanced undergraduate and graduate students in other
disciplines as well as for undergraduate students majoring in statistics. It is a spin-offof a
major
revision
to
the
department's
undergraduate
programming.
Faculty who can teach the course:
Altman, Bingham, Campbell, Graham, Hu, Insley, Lockhart, Loughin, McNeney,
Routledge, Schwarz, Swartz, Tang, Thompson.
V
j^lllW
STAT 645
Spring 2013
Applied Multivariate Analysis
Day Course
Students requiring accommodations as a result of disability, must contact the Centre for Students with Disabilities 778-782-3112 or csdo@sfu.ca
Instructor:
Prerequisite:
STAT 302 or 305 or STAT 650 or permission of instructor. Open only to graduate students in departments other than
Statistics & Actuarial Science.
Textbook:
To be identified.
Calendar Description:
Introduction to principal components, ordination, cluster analysis, discriminant analysis and canonical correlation.
Outline:
1. Principal Components: Identification, use in multiple regression, using
R
to perform the calculations. (~3
weeks)
2. Ordination Techniques: Methodology and survey of common applications, computer calculations. (~2 weeks)
3. Cluster Analysis: Survey of commonly used methods, computer calculations, graphical displays, and
interpretation of results. (~3 weeks)
4. Discriminant Analysis: (~2 weeks)
5. Canonical Correlation Analysis: (~2 weeks)
6. Student Presentations of Substantive Applications. (~1 week)
Note:
This course is beingtaught in parallel with STAT 445. Students in STAT 645 will normally present their
research problems involving categorical data as active case studies for the class. Graduate students will also be
required to submit a project related to their specialty; graduate student projects will be more extensive than those of
students in STAT 445.
Grading Scheme (subject to change):
Assignments: 20%
Project: 30%
Midterm: 20%
Final: 30%
Note: Graduate students in STAT 645 will be graded separately from students in STAT 445 using standards
appropriate to graduate level course work.
Students should be aware that they have certain rights to confidentiality concerning the return of course papers
and the posting of marks. Please pay careful attention to the options discussed in class at the beginning of the
semester. Students are reminded that Academic Honesty is a cornerstone of the acquisition of knowledge.
Scholarly integrity is required of all members of the University. Please consult the General Guidelines of the
calendar for more details.
Revised April 26, 2012
s/
SIMON FRASER UNIVERSITY
DEAN OF GRADUATE STUDIES
New Graduate Course Proposal Form
F-^P> PROPOSED COURSE
Program leg. MAPH) STAT
Course Title (max 80 characters)
Applied Discrete Data Analysis
Number (eg. 810) 675
Short Title [appears on transcripts, max 25 characters)
Appl. Discrete Data Anal.
Units (eg. 4) 3
Course Description for SFU Calendar • see attached document El Learning outcomes identified
Introduction to standard methodology for analyzing categorical data including chi-squared tests for
two-
and multi-way contingency tables, logistic regression, and loglinear (Poisson) regression.
Available Course Components: ^Lecture DSeminar •Laboratory
• Practicum DOnline •
Grading Basis liija Letter grades •Satisfactory/Unsatisfactory • InProgress/Complete This is a capstone course LTJYes D No
Prerequisites (ifany)
Qsee attached document (if more space is required)
STAT 302 or STAT 305 or STAT 650 or permission of instructor. Open only to graduate students in departments other than Statist. &Actuarial Sci.
la This proposed course is combined with an undergrad course: Course number and units: STAT 475"3
Additional course requirements for graduate students • See attached document (ifthis space is insufficient)
Students in STAT 675 will normally present their research problems involving categorical data as
active case studies for the class. Graduate students will also be required to submit a project related to
their specialty;
graduate student projects will be more extensive than those of students in STAT 475.
Campus at which course will be offered (check all that apply) ED Burnaby • Vancouver • Surrey L7JGNW •
Estimated enrolment
10
rj?N
Date of initial offering
Spring 2013 (tentative)
Course delivery (eg. 3 hrs/week for 13weeks)
3 hrs/week for 13 weeks
• Yes STNo Practicum work done in this class wilt involve children or vulnerable adults
(If the "Yes" box is checked, all students will require criminal record checks)
Justification
>eeattached document (ifmore space is required)
i.along win STAT475. is designed I
•dlyslj to' advanced tnde'C/aduate and gradjal* s:uden:s In otliw Asc-pin
>sludeMs m^onnij m sfaivics. I:is a spm-cft o<J major revision to the departm
•B* RESOURCES
Ifadditional 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.
Faculty member(s) who will normally teach this course • information about their competency to teach the course is appended
Altman, Bingham, Campbell, Graham, Hu, Insley, Lockhart, Loughin, McNeney, Routledge, Schwarz, Swartz, Tang, Thompson
Number of additional faculty members required in order to offer this course
0
Additional space required in
order to offer this course • see attached document
0
Additional specialized equipment required in order to offer this course • see attached document
0
Additional Library resources required (append details) • Annually $JL
0
• One-time $±
Revised April 2012
.-•'
/
PROPOSED COURSE
from first page
Program (eg. ECON)
STAT
Numberleg. 810) 575
Units (eg.
A)
3
Course title (max 80 characters)
Applied Discrete Data Analysis
•HI- APPROVAL SIGNATURES
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 (attached to this form).
The new course proposal must also be sent to the Libraryfor a report on library resources.
Once overlap concerns have been dealt with, signatures indicate approval by the department, home faculty and
Senate Graduate Studies Committee.
Other Faculties
The signature(s) below indicate 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 of Dean or Designate
Date
S&4£ /XrM<f-f^h
Departmental Approval
(non-departmentalized faculties need npt^sign
Department Graduate Program Committee
Signature
Date
MacR/O
Department
11 : it'i! i Chair
Ul Idli
1
Signat
m(7l/}
Date
Mar
y\}=i
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 Library funds and any
other necessary resources.
Faculty-Graduate PrograpvGommittee
Signature
CZf*~,7 \
Date
Senate Graduate Studies Committee Approval
SGSCapproval 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 Graduate Studies Committee
Signaju^e~~^r"V
Date
W.cw
2.2./\Z-
BS» CONTACT
Upon approval of the course, 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 entry of the new course in the student record system.
Department / School / Program
Statistics & Actuarial Science
Contact name
Rick Routledge
Contact email
routledg@sfu.ca
*
STAT 675 3 Applied Discrete Data Analysis
Appl. Discrete Data Anal.
Course Description:
Introduction to standard methodology for analyzing categorical data including chi-
squared testsfor two- and multi-way contingency tables, logistic regression, and loglinear
(Poisson) regression.
Prerequisites:
STAT 302 or 305 or STAT 650 or permission of instructor. Open only to graduate
students in departments other than Statistics and Actuarial Science.
Additional course requirements for graduate students:
Students in STAT 675 will normally present their research problems involving
categorical data as active case studies for the class. Graduate students will also be
required to submit a project related to their specialty; graduate student projects will be
more extensive than those of students in STAT 475.
Justification:
This course, along with STAT 475, is part of a package designed to replace STAT 402
and 602. The revised package targets the primary applications of generalized linear
modeling (as opposed to the more general framework), and is more suitable for the
intended audience.
Faculty who can teach the course:
Altman, Bingham, Campbell, Graham, Hu, Insley, Lockhart, Loughin, McNeney,
Routledge, Schwarz, Swartz, Tang, Thompson
™V'X
STAT 675
Spring 2013
JA\
II1 Na, Applied Discrete Data Analysis
Day Course
Students requiring accommodations as a result of disability, must contactthe Centre for Students with Disabilities 778-782-3112 or csdo@sfu.ca
Instructor:
Prerequisite:
STAT 302 or 305 or STAT 650 or permission of instructor. Open only to graduate students in departments other than
Statistics & Actuarial Science. Students with credit for STAT 402 or 602 may not take this course for further credit.
Textbook (Optional):
An Introduction to Categorical Data Analysis, 2nd ed.,
by: Alan Agresti; publisher: Wiley.
Calendar Description:
Introduction to standard methodology for analyzing categorical data including chi-squared tests for two- and multi-
way contingency tables, logistic regression, and log-linear (Poisson) regression.
Outline:
This course introduces students to the most important methods for analyzing categorical data. The focus of the course
is twofold: classical methods in categorical data analysis, such as chi-squared tests, and logistic and log-linear
(Poisson) regression techniques.
1. Introduction and review
2. Two-way contingency table
3. Three-way contingency table
4. Logistic regression
5. Loglinear regression
6. Case studies
7. Furthertopics, including goodness-of-fit and model selection, and over-dispersion.
Note: This course is taught in parallel with STAT 475. Students in STAT 675 will normally present their research
problems involving categorical data as active case studies for the class. Graduate students will also be required to
submit a projectrelated to their specialty; graduate student projects will be more extensive than those of students in
STAT 475.
Grading Scheme (subject to change):
Assignments - 20%
Project - 30%
Midterm - 20%
Final-30%
Note: Graduate students in STA T 675 will be graded separately from students in STA T 475 using standards
appropriate to graduate level course work.
Students should be aware that they have certain rights to confidentiality concerning the return of course papers and the
posting of marks. Pleasepay careful attention to the options discussedin class at the beginning of the semester. Students are
reminded thatAcademic Honesty is a cornerstone of the acquisition of knowledge. Scholarly integrity is required of all
members of the University. Please consult the General Guidelines of the calendarfor more details.
Revised April 26, 2012
j
SIMON FRASER UNIVERSITY
DEAN OF GRADUATE STUDIES
New Graduate Course Proposal Form
ES2> PROPOSED COURSE
Program (eg. MAPH]
STAT
Number (eg. 810) 685
Units (eg. 4) 3
Course Title (max 80 characters)
Applied Time Series Analysis
Short Title (appears on transcripts, max 25 characters)
Appl. Time Series Anal.
Course Description for SFU Calendar • see attached document 0 Learning outcomes identified
Introduction to linear time series analysis including moving average, autoregressive and ARIMA
models, estimation, data analysis, forecasting errors and confidence intervals, conditional and
unconditional models, and seasonal models.
Available Course Components: ELecture • Seminar • Laboratory • Practicum LTJOnline •
Grading Basis £a Letter grades •Satisfactory/Unsatisfactory • InProgress/Complete This is a capstone course LTJYes D No
Prerequisites (if any) EDsee attached document (if more space is required)
STAT 302 or STAT 305 or STAT 650 or permission of instructor. Open only to graduate students in departments other than Statist. &Actuarial Sci.
©'this
his proposed course is combined with an undergrad course: Course number and units: STAT485"3
Additional course requirements for graduate students • See attached document (if this space is insufficient)
Students in STAT 685 will normally present their research problems involving categorical data as
active case studies for the class. Graduate students will also be required to submit a project related to
their specialty; graduate student projects will be more extensive than those of students in STAT 485.
Campus at which course will be offered (check all that apply) E Burnaby • Vancouver • Surrey [TJGNW •.
Estimated enrolment
10
Date of initial offering
Spring 2013 (tentative)
Course delivery (eg. 3 hrs/week for 13 weeks)
3 hrs/week for 13 weeks
• Yes ENo Practicum work done in this class will involve children or vulnerable adults
(Ifthe "Yes" box isrhecked, all students will require criminal record checks)
Justification LySee attached document [if more space is required)
II"! to-rs«. larj .BSIAI 415 U Wwonefl to
3tot
bajic trailing *i appfce
ifyv»fo' a£»a-K«4 u/Wtfo/aduat* and g*adu,
i to
vt
fl»:artj-.er.r
OB* RESOURCES
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.
Faculty member(s) who will normally teach this course • information about their competency to teach the course is appended
Altman, Bingham, Campbell, Graham, Hu, Insley, Lockhart, Loughin, McNeney, Parker, Routledge, Schwarz, Swartz, Tang, Thompson
Number of additional faculty members required in order to offer this course
0
Additional space required in order to offer this course Qsee attached document
0
Additional specialized equipment required in order to offer this course • see attached document
0
Additional Library resources required (append details) • Annually$JL
0
•
One-time $.
^
Revised April 2012
PROPOSED COURSE
from first page
Program leg. ECON) STAT
Course title {max 80 characters)
Applied Time Series Analysis
Number(eg. 810) 685
Units (eg. 4) 3
HBt APPROVAL SIGNATURES
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 (attached to this form).
The newcourse proposal must also be sent to the Library for a report on library resources.
Once overlap concerns have been dealt with, signatures indicate approval by the department, home faculty and
Senate Graduate Studies Committee.
Other Faculties
The signature(s) below indicate 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 of Dean or Designate
Date
Sec /kTAf*Le:t>
Departmental Approval
(non-departmentalized faculties need not sign
DepartmentDepartment
ChairGraduate
Program
.
Committee
,
SignatureSignature
Date
lAx^fi-
m
Date
NW-V/r^
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 Library funds and any other necessary resources.
FacultvGraduate Program Committee
Signature
C~\)y r\
Date
,'
2°C XhM-U TO
K
Senate Graduate Studies Committee Approval
SGSCapproval 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-6raduate Studies Committee
Date
V\o>^ft 2-2-/ (, 2_
1^» CONTACT
Upon approval of the course, 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 entry of the new course in the student record system.
Department / School / Program
Statistics & Actuarial Science
Contact name
Rick Routledge
Contact email
routledg@sfu.ca
#
STAT 685 -3
Applied Time Series Analysis
Appl. Time Series Anal.
Course Description:
Introduction to linear time series analysis including moving average, autoregressive and
ARIMA models, estimation, data analysis, forecasting errors and confidence intervals,
conditional and unconditional models, and seasonal models.
Prerequisites:
STAT 302 or STAT 305 or STAT 650 or permission of instructor. Open only to graduate
students in departments other than Statistics and Actuarial Science.
Additional course requirements for graduate students:
Students in STAT 685 will present their research problems involving categorical data as
active case studies for the class. Graduate students will also be required to submit a
project related to their specialty; graduate student projects will be more extensive than
those of students in STAT 485
Justification:
This course, along with STAT 485, is designedto serve a need for basic training in
applied time series analysis for advanced undergraduate and graduate students in other
disciplines as well as for undergraduate students majoring in statistics. It is a spin-off of a
major revision to the department'sundergraduate programming.
Faculty who can teach the course:
Altman, Bingham, Campbell, Graham, Hu,Insley, Lockhart, Loughin, McNeney, Parker,
Routledge, Schwarz, Swartz, Tang, Thompson
<u-^
STAT
STAT 685
Spring 2013
Applied Time Series Analysis
Day Course
Students requiring accommodations as a result of disability, must contact the Centre for Students with Disabilities 778-782-3112 or csdo@sfu.ca
Instructor:
Prerequisite:
STAT 302 or 305 or STAT 650 or permission of instructor. Open only to graduate students in departments other than Statistics
& Actuarial Science.
Textbook:
Shumway, R.H., and Stoffer, D.S. 2000.
Time Series Analysis and Its Applications.
Springer: New York, NY.
Calendar Description:
Introduction to linear time series analysis including moving average, autoregressive and ARIMA models, estimation,
data analysis, forecasting errors and confidence intervals, conditional and unconditional models, and seasonal models.
Outline:
1. Autocorrelation, seasonality, and trends in time series and their impacts on standard statistical inference
techniques. (~1 week)
2. Autoregressive models: definition, model formulation, and data analysis (~2 weeks)
3. Moving average models: definition model formulation, and data analysis (~2 weeks)
4. ARIMA models: definition, model formulation, and data analysis (~2 weeks)
5. Introduction to forecasting with linear time series models (~2 weeks)
6. Introduction to nonparametric fitting of trends and cycles to time series data (~2 weeks)
7. Case studies and student presentations (~2 weeks)
Note: This course is taught in parallel with STAT 485. Students in STAT 685 will normally present their research
problems involving time series data as active case studies for the class. Graduate students will also be required to
submit a project related to their specialty; graduate student projects will be more extensive than those of students in
STAT 485.
Grading Scheme (subject to change):
Assignments: 10%
Project: 30%
Midterm: 20%
Final: 40%
Note: Graduate students in STA T 685 will be graded separately from students in STAT 485 using standards
appropriate to graduate level course work.
Students should be aware that they have certain rights to confidentiality concerning the return of course papers
and the posting of marks. Please pay careful attention to the options discussed in class at the beginning oft/re
semester. Students are reminded that Academic Honesty is a cornerstone of the acquisition of knowledge.
Scholarly integrity is required of all members of the University. Please consult the General Guidelines of the
calendar for more details.
Revised April 26, 2012
"
Dear Rick,
Library Course Assessment Memo
February 8,2012
I have finished reviewing the proposals for:
STAT 340 :
Introduction to Statistical Computing and Exploratory Data Analysis
STAT 445 :
Applied Multivariate Analysis
STAT 475:
Applied Discrete Data Analysis
STAT 485 :
TimeSeries Analysis
|
STAT
645
:
Applied
Multivariate
Analysis
\ STAT 675 :
AppliedDiscrete Data Analysis
*STAT 685 :
Applied Time Series Analysis
and have determined that no additional library resources will be required to support them.
I have added the courses to the appropriate list on the Library Course Assessments page
http://www.lib.sfti.ca/collections/course-assessments
,
and
this
will
be
adequate
proof
of library sign-off.
Just a note: On the forms for 445,475 & 485 it says that the courses are "included in the
list" on the Library Course Assessment page, but in fact they were not, so I added them
now. All seven proposals are now ready to go to SCUS. Please let me know if you have
any questions.
Cheers,
Ivana
Ivana Niseteo, MA, MLIS
Collections Librarian
Liaison Librarian for Linguistics, French, Humanities, French Cohort in Arts
Bennett
Library,
Simon
Fraser
University
Tel:
778.782.6838
|
Fax:
778.782.6926
|
iniseteo@sfu.ca
Paul Budra, 3/13/1210:32 AM -0700, Re: STAT 645,675,685
Date: Tue, 13 Mar 2012 10:32:02 -0700 (PDT)
From: Paul Budra <budra@sfu.ca>
To: Rosemary Hotell <hotell@sfu.ca>
Subject: Re: STAT 645,675,685
X-Originating-IP: [142.58.146.227]
No overlap with FASS!
Paul Budra
Associate Dean
Faculty of Arts and Social Sciences
778-782-4416; www.sfu.ca/personal/budra
From:
"Rosemary Hotell" <hotell@sfu.ca>
To: fgsc-list@sfu.ca
Sent:
Tuesday, 13 March, 2012 10:10:39
Subject:
STAT 645,675,685
Please check the new courses for overlap. The forms and outlines are
attached.
Rosemary
Rosemary Hotell
Dean of Science Office, TASC2 9905
Simon Fraser University
Telephone: 778.782.3772
Fax: 778.782.3424
Printed for Rosemary Hotell <hotell@sfu.ca>
aru
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Re: New Time
Series
Course
Front
.'Robin
Insley
'
lb:
Marie
Rekkas
Thanks
Marie.
Original
Message
From:
"Marie
Rekkas"
<mrekkas@sfu.ca>
To: "Robin Insley" <insley@sfu.ca>
Cc:
"Marie
Rekkas"
<mrekkas8sfu.ca>
Sent:
Thursday,
1 March, 2012
7:06:15
AM
Subject: Re: New Time
Series
Course
Hi
Robin,
I have reviewed the material as well as consulted with the relevant
person
responsible
for
teaching
time
series
in our
department.
Ramo
Gencay teaches ECON 484. Some years he teaches ECON 484 as a time series
course and other years as a financial econometrics course. When ECON 484
is
taught
asa
time
series
course,
there
is
100%
overlap
with
your
new
course
proposed
in
time
series.
Marie
Marie
Rekkas
Associate Professor and Undergraduate Chair
Department
of
Economics
Simon Fraser University
8888
University
Drive
Burnaby, BC
V5A
IS6
tel:
778.782.6793
fax:
778.782.5944
www.sfu.ca/~mrekkas
|
SFU
Directory
Search
MySFU
Re:
New
Time
Se
Mail
Search
•
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Reply to
A!
Forward
Junk
Robin
btsley
Help
LogOut
1 March.
2012
09:50
On
29/02/2012
6:31
PM,
Robin
Insley
wrote:
>
Hi
Marie:
I've
left
some
written
material
with
Gwen
Wild
to
forward
to
you.
We,
The
Statistics
and
Actuarial
Science
department,
are
revamping
our
undergraduate
program
and
part
of
this
involves
the
introduction
of
a
new
course
in
Time
Series.
For
us
to
proceed
we
must
consult
all
departments
offering
courses
that
contain
material
similar
to
the
material
contained
in
our
proposed
course.
I
know
that
Economics
does
offer
a
course
in
Time
Series.
I
would
appreciate
it
if
you
or
someone
in
the
Economics
department
would
review
the
material
I
sent
and
get
back
to
me
on
the
overlap
of
topics
and
any
concerns
that
you may
have.
Thanks
for
your
help.
>
>
Cheers,
Robin
01/03/2012
9:50
AM
Marek Hatala, 3/13/12 10:22 AM -0700, Re: STAT 645,675,685
Subject: Re: STAT 645,675,685
From: Marek Hatala <mhatala@sfu.ca>
Date: Tue, 13 Mar 2012 10:22:35 -0700
Cc: Marek Hatala <mhatala@sfu.ca>
To: Rosemary Hotell <hotell@sfu.ca>, Sheilagh MacDonald <sheilagh@sfu.ca>
Hi Rosemary, no overlap with FCAT grad courses.
Marek
Dr. Marek Hatala
:: Associate Professor and Acting Associate Dean for Graduate Studies
:: School of Interactive Arts and Technology, Faculty of Communication,
Art & Technology
:: SIMON FRASER UNIVERSITY, 250-13450 102 Ave., Surrey, BC V3T 0A3,
:: Email: mhatala@sfu.ca, Web: http://www.sfu.ca/~mhatala/
:: Phone: 1.778.782.7431, Fax: 1.778.782.7478
On 2012-03-13, at 10:10 AM, Rosemary Hotell wrote:
> Please check the new courses for overlap. The forms and outlines are
attached.
>
> Rosemary
>
>—
>
> Rosemary Hotell
> Dean of Science Office, TASC2 9905
> Simon Fraser University
> Telephone: 778.782.3772
> Fax: 778.782.3424
> <Sdean-ptr.sl2031214390.pdf>
Printed for Rosemary Hotell <hotell@sfu.ca>
