SFU
Dean of Graduate Studies
Maggie Benston Student Services
Centre 1100
8888 University Drive
Bumaby.BC
Canada \'5A 1S6
MEMORANDUM
ATTENTION
FROM
RE:
Senate
Wade Parkhouse, Dean of Graduate
Studies
Department of Statistics and Actuarial Science
TEL 778.782.3042
FAX 778.782.3080
date
7 February 2013
No.
GS2013.05
S.13-46
www.sfii.ca/Dean-
GradStudies
'X
For information:
Acting under delegated authority at its meeting of 4 February 2013, SGSC approved the following
curriculum revision:
Effective Date is Fall 2013
Faculty
of
Science
a) Department of Statistics and Actuarial Science
1. New courses:
STAT 830-4 Statistical Theory I
STAT 831-4 Statistical Theory II
STAT 840-4 Statistical Genetics
STAT 841-4 Advanced Design of Experiments
STAT 842-4 Environmetrics
STAT 843-4 Functional Data Analysis
STAT 850-4 Linear Models and Applications
STAT 851-4 Generalized Linear Models and Discrete Data Analysis
STAT 852-4 Modern Methods in Applied Statistics
STAT 853-4 Applications of Statistical Computing
STAT 854-4 Biometrics: Methods in Biomedical Studies
STAT 856-4 Longitudinal Data Analysis
STAT 857-4 Space-Time Models
2. Changes to course numbers to reflect a new suite of STATS courses:
STAT 832-4 from STAT 870-4 Applied Probability Models
STAT 855-4 from STAT 806-4 Lifetime Data Analysis
3. Courses to be deleted from the calendar:
STAT 801-4 Statistics
STAT 802-4 Multivariate Analysis
STAT 804-4 Time Series Analysis
STAT 805-4 Non-Parametric Statistics and Discrete Data Analysis
SIMON FRASER UNIVERSITY
ENGAGING THE WORLD
ii) Where applicable, deleted courses to be removed from electives for:
FAS: MoCSSy Certificate
BUS: BUS PhD
4. MSc in Actuarial Science:
i) Change to program requirements
ii) Change to program length
iii) Minor editorial changes
5. MSc in Statistics:
i)
Change to general description
ii) Change to program requirements
iii) Change to program length
iv) Minor editorial changes
Faculty of Science
Dean's Office
TASC11-9900
8888 - University Drive
Burnaby, BC V5A 1S6
TO:
W. Parkhouse
Dean of Graduate Studies
RE: Statistics & Actuarial Science
GS2013.05
DEA'i OF GRADUATE
STUDIES OFFICE
FROM:
P. Ruben, Chair & Associate Dean
Faculty
of Science Graduate Studies
Committee
DATE:
December 14, 2012
The following Graduate program, new courses and course changes have been approved by the
Faculty of Science and are forwarded for approval by the Senate Graduate Studies Committee.
Please include them on the next SGSC agenda.
Statistics & Actuarial Science
New courses: STAT 830, 831, 840,841,842,843,850, 851, 852, 853,
854,856,
857
Number changes: STAT 870 to STAT 832, STAT 806 to STAT 855
Courses to be deleted: STAT 801, 802, 804 and 805
Changes to MSc in Statistics
From: STAT 801, STAT 811, 812 plus at least 4 ofa list ofour other grad courses.
To: Courses to be used: STAT 830, 850, 851,852,853, 811,812 - (24credit hours)
Changes to MSc in Actuarial Science
From: STAT 801, two of ACMA 820, 821,822
To: STAT 830, two of ACMA 820, 821, 822
Enclosure
c. C.CuppIes
P. Ruben
SIMON FRASKK
UNIVERSITY
ENGAGING the WORLD
SFU
Department of Statistic
&Actuarial Science
December 12, 2012
MEMO
To: Peter Rueben
From: Tim Swartz
Subject: Proposed Graduate Program and Course Changes
Dear Peter,
I attach a package of modifications to our graduate programs approved by the
Department of Statistics and Actuarial Science on 9 November 2012. There are a set
of new course proposals, some coursechange proposals and a modified calendar
entry for our MSc programs in statistics and in actuarial science. The new courses
and program changes were reviewed by Leslie Rimmer in the Library who indicated
"... the Library will be able to support these courses with no additional resources
from the department". [In the calendar entries new, modified or moved material is
highlighted in yellow. Deletions are indicated by striking.]
The modifications to our course offerings are the result of recommendations from our
last external review and also an attempt to improve continually our programs so that
they remain among the best in the country. In addition, new calendar entries are
being added in preparation for a new stream in Biostatistics and also a combined
undergraduate/graduate degree in Applied Statistics. Both will be proposed formally
at a laterdate, along with changes to our PhD program.
Lastly, we have attempted ^
to rationalize the course numbering; this entails some minor changes.
I summarize the proposed changes below.
New courses:
Course #
Course Title
STAT 830
Statistical Theory I
STAT 831
Statistical Theory II
STAT 840
Statistical Genetics
STAT 841
Advanced Design of Experiments
STAT 842
Environmetrics
STAT 843
Functional Data Analysis
STAT 850
Linear Models and Applications
STAT 851
Generalized LinearModels and Discrete Data Analysis
STAT 852
Modern Methods in Applied Statistics
STAT 853
Applications of Statistical Computing
STAT 854
BiomeU-ics: Methods in Biomedical Studies
STAT 856
Longitudinal Data Analysis
STAT 857
Space-Time Models
:
Re-numbered courses:
New
Course #
Old Course Number
Course Title
STAT 832
STAT 870
Probability Models
STAT 855
STAT 806
Lifetime Data Analysis
Deleted courses:
Course #
Course Title
STAT 801
Statistics
STAT 802
Multivariate Analysis
STAT 804
Time Series Analysis
STAT 805
Non-parametric Statistics and Discrete Data Analysis
Changes to Calendar
The bulk ofthe calendar changes are driven by the new courses but we are also
increasing the number of specifically required courses in the MSc program in
Statistics. The only
requirements beingchanged are in our MScprogram in statistics;
in the MSc program in Actuarial Science we are changing the list of courses from
which students may choose some of their credits to reflect the new suite of statistics
courses. Total credit hours required are unchanged for both programs.
MSc in Statistics
Old requirements for the MSc program in statistics: STAT 801-4, STAT 811-2,
STAT 812-2 plus at least 4 of a list of our other grad courses. In total 30 credit hours
are required. Studentsare permittedto use up to 6 units of400 level undergraduate
work.
New requirements for the MSc program in statistics: STAT 830-4, STAT 850-4,
STAT 851-4, STAT 852-4, STAT 853-4, STAT 811-2, STAT 812-2 -this comes to
24 credit hours. In total 30 credithoursare required. Students are permitted to use up
to 6 units of 400 level undergraduate work.
MSc in Actuarial Science
Old requirements for the MSc program in actuarial science: STAT 801-4, two of
ACMA 820-4, ACMA 821-4, ACMA 822-4; plus at least 2 of a list of our other grad
courses. In total 30 credit hours are required. Students are permitted to use up to 6
units of400 level undergraduate work.
New requirements for the MSc program in actuarial science: STAT 830-4, two
of
ACMA 820-4, ACMA 821-4,ACMA 822-4; plus at least 2 of a list of our other grad
courses - that list is changed, of course, to reflect the changes in STAT grad courses.
In total 30 credit hours are required. Students are permitted to use up to 6 units of400
level undergraduate work.
Sincerely,
SIMON FRASER UNIVERSITY
DEAN OF GRADUATE STUDIES
ew Graduate Course Proposal Form
••proposed course
Subject [eg. MAPH)
STAT
Course Title (max 80 characters!
Statistical Theory I
Number (eg. 810)830
Short Title (appears on transcripts, max 25 characters)
Statistical Theory I
Units (eg. 4)4
Course Description for SFU Calendar • see attached document
• Learning outcomes identified
The statistical theorythatsupports modern statistical methodologies. Distribution theory, methods forconstruction of tests, estimators, and
confidence intervals with special attention to likelihood and Bayesian methods. Properties of the procedures including large sample theory will be
considered. Consistency and asymptotic normality for maximum likelihood and related methods (e.g., estimating equations, quasi-likelihood), as
well as hypothesis testing and p-values. Additional topics may include: nonparametric models, the bootstrap, causal inference, and simulation.
Available Course Components: HLecture
DSeminar DLaboratory
• Practicum DOnline
•
Grading Basis 0 Letter grades • Satisfactory/Unsatisfactory • In Progress/Complete
This is a capstone course IZJYes 0No
Prerequisites (if any)
• see attached document(if more space is required)
STAT 450 or permission of the instructor. Students with credit for STAT 801 may not take this course for furthercredit.
DThis
proposed course is combined with an undergrad course: Course number and units:
.
Additional course requirements for graduate students
• See attached document (if this space is insufficient)
Campus at which course will be offered (check all that apply) EBurnaby • Vancouver • Surrey DGNW •_
Estimated enrolment
Date of initial offering
Fall 2013
Course delivery (eg. 3 hrs/week for 13 weeks)
4 hrs/week for 13 weeks
• Yes 0 No
Practicum work done in this class will involve children or vulnerable adults
(If the "Yes" box is checked, all students will require criminal record checks)
Justification
QSee attached document (if more space is required)
Following recent review of our programs and the discipline, we determined that the material in this course is both
fundamental to modern statistical application
and useful in its own right.
mam
resources
If additional resources are required to offer this course, thedepartment 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
Derek Bingham, Jiguo Cao, Richard Lockhart, BoxinTang
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
None
Additional Library resources required (append details)
Q Annually $^
D One-time $_£_
4
Revised
April 2012
PROPOSED COURSE
from first page
Program (eg. MAPH)
STAT
Course title (max 80 characters)
(Statistical Theory I
Number (eg. 810) Q3Q
3
Units [eg. 4)
4
BH* 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 ofother Faculties affected by the proposed new course
support(s) the approval of the new course.
Name of Faculty
Signature of Dean or Designate
Date
Departmental Approval
(non-departmentalized faculties need not sign)
Department Graduate Program Committee
Tim Swartz
Department Chair
Richard Lockhart
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 Program Committee
SignatU~reT>>
~
Date
(H.foygc
Z&Jl__
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.
Senate Graduate Studies Committee
O-ULfe
Date
FxkH A3.
CONTACT
Upon approval of the course, the Office of the Dean of Graduate Studies 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
Stat & Act Sci
Contact name
Sadika Jungic
Contact email
sjungic@sfu.ca
n"jf"
V
Proposed Course Outline
£
jgriMl^ STAT 830 Statistical
Theory
I
Day Course
Students requiring accommodations as aresult ofdisability, must contact the Centrefor Students with Disabilities 778-782-3112 or csdo@sfu.ca
Instructor: TBA
Prerequisite;
STAT 450 orpermission ofthe instructor. Students with credit for STAT 801 may not take this course for further credit.
Textbook:
Recommended:
All ofStatistics: AConcise Course in Statistical Inference,
by Larry Wasserman, Publisher: Springer.
Calendar Description:
The statistical theory that supports modern statistical methodologies. Distribution theory, methods for construction of tests,
estimators, and confidence intervals with special attention to likelihood and Bayesian methods. Properties ofthe procedures
including large sample theory will be considered. Consistency and asymptotic normality for maximum likelihood and related
methods (e.g., estimating equations, quasi-likelihood), as well as hypothesis testing and p-values. Additional topics may
include: nonparametric models, the bootstrap, causal inference, and simulation.
Outline:
1.
Probability: random variable, expectation, inequalities, and convergence
2. Inference
3. The likelihood function
4.
Maximum likelihood estimation (MLE) and asymptotic properties
5. Methods related toMLE's(estimating equations and quasi-likelihood
6. Hypothesis testing
7. TheNeyman-Pearson approach, p-values, likelihood ratio tests, andconfidence intervals
8. The bootstrap
9. Thepostulates of Bayesian inference, Bayes'stheorem
10. The Bayesian approach, estimation, hypothesis testing, Bayes factors, credible intervals
11. Invariance, Jeffrey'spriors, asymptotics
12. Causal inference
13. Simulation
Grading Scheme:
Assignments - 25%
Midterms - 25% each of 2
Final-25%
Students should be aware that they have certain rights to confidentiality concerning the return ofcourse papers and the
posting ofmarks. Please pay careful attention to the options discussed in class at the beginning ofthe semester. Students are
reminded that Academic Honesty is acornerstone ofthe acquisition ofknowledge. Scholarly integrity is required ofall
members ofthe University. Please consult the General Guidelines ofthe calendarfor more details.
SIMON FRASER UNIVERSITY
DEAN OF GRADUATE STUDIES
'}ll©
^
New Graduate Course Proposal Form
BBB> PROPOSED COURSE
DEAN
Of
GRADUATE
STUDIES OFFICE
Subject leg. MAPH)
STAT
Number (eg. 8101Q3']
Units (eg. 4)4
Course Title (max 80 characters)
Statistical Theory II
Short Title[appears on transcripts, max 25 characters)
Statistical Theory II
Course Description for SFU Calendar
• see attached document
• Learning outcomes identified
Advanced mathematical statistics for PhD students. Topics in probability theory including densities, expectation and random vectors
and matrices are covered. The theory of point estimation including unbiased and Bayesianestimation, conditional distributions,
variance bounds and information. The theoretical framework ofhypothesis testing is covered. Additional topics thatmay be covered
include modes of convergence, central limit theorems for averages and medians, large sample theory and empirical processes.
Available Course Components:
0 Lecture
DSeminar
• Laboratory
• Practicum
DOnline
•
Grading Basis f7] Letter grades • Satisfactory/Unsatisfactory • In Progress/Complete
This is a capstone course DYes 0 No
Prerequisites (if any)
• see attached document(if morespace is required)
STAT 830 or permission from the instructor
• This proposed course is combined with an undergrad course: Course number and units:
,
Additional course requirements for graduate students
• See attached document (if this space is insufficient)
Campus at
which course will be offered (check all that apply) QBurnaby • Vancouver • Surrey DGNW •-
Estimated enrolment
5
Date of initial offering
TBD
Course delivery (eg. 3 hrs/week for 13 weeks)
4 hrs/week for 13 weeks
DYes 0 No
Practicum work done in this class will involve children or vulnerable adults
(If the "Yes" box is checked, all students will require criminal record checks)
Justification
DSee attached document (if more space is required)
Following recent review of our programs and the discipline, we determined that the material in this course is both
fundamental to modern statistical application and useful in its own right.
••* 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
Derek Bingham, Jiguo Cao, Richard Lockhart, Boxin Tang
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
None
Additional Library resources required (append details)
• Annually$.2_
• One-time $_!L
Revised
April 2012
PROPOSED COURSE
from firstpage
Program (eg. MAPH) STAT
Course title (max 80 characters)
[Statistical Theory II
Number [eg. 810] Q3^
Units (eg.
A]
4
nam-
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 bysigning 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 ofother Faculties affected by the proposed new course
support(s) the approval of the new course.
Name of Faculty
Signature of Dean or Designate
Date
Departmental Approval
(non-departmentalized faculties need not sign)
Department Graduate Program Committee
Tim Swartz
Signature
S//'^ '—ns
Da'e
DEC 122012
Department Chair
Richard Lockhart
Si9natuW^i^~
Da,e DEC 12 2012
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 Program Committee
->^
Signature
&
l~
Date
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.
Senate Graduate Studies Committee
CONTACT
Signature \
•
'U
Date
yJ_W ^L^
X
Upon approval of the course, the Office of the Dean of Graduate Studieswill 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
Stat & Act Sci
Contact name
Sadika Jungic
Contact email
sjungic@sfu.ca
""/'\
Proposed Course Outline
f
J^1! I! Hu STAT 831 Statistical Theory II
Day Course
Students requiring accommodations as a resultofdisability, must contact the Centrefor Students with Disabilities 778-782-31J2 or csdo@sfu.ca
Instructor: TBA
Prerequisite:
STAT 830 or permission from the instructor
Textbook:
Recommended:
Theoretical Statistics: Topics For A Core Course,
by Robert Keener, Publisher: Springer.
Calendar Description:
Advanced mathematical statistics for PhD students. Topics in probability theory including densities, expectation and random
vectors and matrices are covered. The theory of point estimation including unbiased and Bayesian estimation, conditional
distributions, variance bounds and information. The theoretical framework of hypothesis testing is covered. Additional topics
that may be covered include modes of convergence, central limit theorems for averages and medians, large sample theory and
empirical processes.
Outline:
1. Probability and measure
2. Exponential families
3. Conditional distributions
4. Sufficiency and completeness and the relationships with unbiased estimation
5. Bayesian estimation
6. Estimating equations and maximum likelihood
7. Hypothesis tests and optimality
8. Large sample theory for likelihood tests
9. Bootstrap methods
Grading Scheme:
Assignments - 25%
Midterms - 25%
Final - 50%
Students should be aware that they have certain rights to confidentiality concerning the return ofcourse papers and the
posting ofmarks. Please pay careful attention to the options discussed in class at the beginning ofthe semester. Students are
reminded that Academic Honesty is a cornerstone ofthe acquisition ofknowledge. Scholarly integrity is required ofall
members ofthe University. Please consult the General Guidelines ofthe calendarfor more details.
SFU
SIMON FRASER UNIVERSITY
DEAN OF GRADUATE STUDIES
New Graduate Course Proposal Form
PROPOSED COURSE
Subject (eg. MAPH)
STAT
Course Title (max 80 characters)
Statistical Genetics
Number (eg. 810)840
Short Title (appears on transcripts, max 25 characters)
Statistical Genetics
/o
Units leg. 4)4
Course Description for SFU Calendar
• see attached document
• Learning outcomes identified
mnS
mii^rSS"
£l2S
l°
P.opulatlor;.a"d
the T,de'S 3n,d
evolutionary
me,th°dS °f StaliStical
genetics, or
Genetics-
computational
Abasis
molecular
for further
genetics,
statistical studies-
established.
whether
Specific
in quantitative
topics can
genetics
include sScal
human and
the
thP
coalescent,
rn^ilLn?
pedigree
«"
^"fr
relat.onsh,ps
5'
**!*"
and gene
gene,ics:
identity, meiosis
Hardy-Weinberg
and recombination
equilibrium,
linkage
al.elic
detection
variation,and
population
an Introduction
subdivisionT»SS!£v!SSL^
o^age analysis
'
Available Course Components:
g Lecture
DSeminar
DLaboratory
• Practicum
DOnline
D
Grading Basis
{7}
Letter grades D Satisfactory/Unsatisfactory Din Progress/Complete
Prerequisites (if any)
Dsee attached document (if more space is required)
STAT 450 or permission of the instructor
Thisis a capstone course DYes 0No
DThis proposed course is combined with an undergrad course: Course number and units:
_
Additional course requirements for graduate students
• See attached document (if this space is insufficient)
Campus at which course will be offered (check all that apply)
QBurnaby
QVancouver
• Surrey
DGNW
Q-
Estimated enrolment
5
Date of initial offering
TBD
Course delivery (eg. 3 hrs/week for 13weeks)
4 hrs/week for 13 weeks
S
lit the
YuS -J3
Yes
N°
box is
Practicum
checked,
work
all students
done in
will
this
require
class will
criminal
involve
record
children
checks)
or vulnerable adults
Justification
• See attached document (if more space is required)
'
clr=^^
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.
T^^bZZcZT^^
D^m-"-----~—c„ursei5 append
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
Additional specialized equipment required in order to offer this course
• see attached document
None
Additional Library resources required (append details)
QAnnually
$±
• One-time $JL
Revised April 2012
PROPOSED COURSE
from first page
Program (eg. MAPH) STAT
Course title (max 80 characters)
(Statistical Genetics
Number (eg. 8101 34Q
//
Units (eg. 4) 4
E9BB» 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
Departmental Approval
(non-departmentalized faculties need not sign
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 Program Committee
Signatured
Date
U 6
C Z£<
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.
Senate Graduate Studies Committee
L^y
"Q_^
N&xo^
J±L
Date
fA^/13
CONTACT
Upon approval of the course, the Office of the Dean of Graduate Studies 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
Stat & Act Sci
Contact name
Sadika Jungic
Contact email
sjungic@sfu.ca
"jf"\l ^roPosec* Course Outline
ix
STAT 840 Statistical Genetics
Day Course
Students requiring accommodations as aresult ofdisability, must contact the Centrefor Students with Disabilities 778-782-3112 or csdo@sfu.ca
Instructor: TBA
Prerequisite:
STAT 450 or permission from the instructor
Textbook:
Recommended:
Genetic Data Analysis II,
by Bruce Weir, published by Sinauer, 1996.
Statistical Inferences from Genetic Data on Pedigrees,
by Elizabeth Thompson, published by NSF-CBMS Regional Conference
Series in Probability and Statistics. Volume 6. IMS, 2000.
Calendar Description:
An introduction to the models and methods ofStatistical Genetics. A basis for further statistical studies, whether ii_
quantitative genetics, human and medical genetics, population and evolutionary genetics, or computational molecular
genetics, is established. Specific topics can include statistical models for Mendelian genetic traits, population
genetics: Hardy-Weinberg equilibrium, allelic variation, population subdivision, co-ancestry coefficients, the
coalescent, pedigree relationships and gene identity, meiosis and recombination linkage detection and anintroduction
to linkage analysis.
Outline:
1. Introduction to genetics
2. Models for population genetics
3. Pedigrees and pedigree data with respect to one locus
4.
Models for linkage between two loci and linkage between multiple loci
Grading Scheme:
Assignments 50%
Projects 50%
in
Students should be aware that they have certain rights to confidentiality concerning the return ofcourse papers and the
posting ofmarks. Please pay careful attention to the options discussed in class at the beginning ofthe semester. Students are
reminded that Academic Honesty is acornerstone ofthe acquisition ofknowledge. Scholarly integrity is required ofall
members ofthe University. Please consult the General Guidelines ofthe calendarfor more details.
SIMON FRASER UNIVERSITY
DEAN OF GRADUATE STUDIES
New Graduate Course Proposal Form
PROPOSED COURSE
Subject (eg. MAPHl
STAT
Course Title (max 80 characters)
Advanced Design of Experiments
Number (eg. 810)341
Short Title (appears on transcripts, max 25 characters)
Adv. Design of Exper.
/3
Units (eg. 4)4
Course Description for SFU Calendar
• see attached document
• Learning outcomes identified
An advanced treatment of experimental design. Topics can include: factorial designs, multi-stratum
experiments, orthogonal arrays, optimal design and robust parameter design.
Available Course Components:
H Lecture
DSeminar • Laboratory • Practicum
DOnline
•.
Grading Basis 0 Letter grades • Satisfactory/Unsatisfactory • In Progress/Complete
This is a capstone course DYes 0No
Prerequisites (if any)
Dsee attached document (if more space is required)
STAT 830 or permission of the instructor
• This proposed course is combined with an undergrad course: Course number and units:
Additional course requirements for graduate students
• See attached document (if this space is insufficient)
Campusat which course will be offered (check all.that apply) , HBurnaby • Vancouver • Surrey DGNW •
Estimated enrolment
10
Date of initial offering
TBD
Course delivery (eg. 3 hrs/week for 13 weeks)
4 hrs/week for 13 weeks
• Yes 0 No
Practicum work done in this class will involve children or vulnerable adults
(If the "Yes" box is checked, all students will require criminal record checks)
Justification
QSee attached document (if more space is required)
This course has been offered as a special topics course several times. The department's revision of the graduate program provided anopportunity to create a formal
structure and curriculum for it and to include it in the calendar. Moreover, there is substantial interest in this area from a research perspective among our faculty and students.
mum*
RESOURCES
If additional resources are required tooffer this course, the department proposing thecourse 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
Derek Bingham, Carl Schwarz, Boxin Tang
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
None
Additional Library resources required (append details)
• Annually $_2_
• One-time $JL
Revised April
2012
H
PROPOSED COURSE
from first page
Program (eg. MAPH)
STAT
Number (eg. 810) 34-]
Units (eg. A) 4
Course title [max 80 characters)
^dvanced Design of Experiments
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 bysigning 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
Departmental Approval
(non-departmentalized faculties need not sign
Department Graduate Program Committee
Tim Swartz
Department Chair
Richard Lockhart
Signature
Signature
/>
Date
DEC 12 2012
Date
DEC 1 2 2012
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 Proqram Committee
Signature
\
A
Qxv
Date
£M.
lop.
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.
Senate Graduate Studies Committee
Siqnature r~\
f~K\
Date
[..:.:_:..
CONTACT
Upon approval of the course, theOffice of the Dean of Graduate Studies will consult with thedepartment orschool regarding
othercourse attributes that may be required to enable the proper entry ofthe new course in the student record system.
Department / School / Program
Stat & Act Sci
Contact name
Sadika Jungic
Contact email
sjungic@sfu.ca
,TA\f*\
Proposed Course Outline
STAT 841 Advanced design of experiments
Day Course
/.£
Students requiring accommodations as a result ofdisability, must contact the Centrefor Students with Disabilities 778-782-3112 orcsdo@sfu.ca
Instructor: TBA
Prerequisite:
Statistics 830 or permission from the instructor
Textbook:
Required:
1.
Experiments: Planning, Analysis, andParameter Design Optimization,
Jeff Wu and Michael Hamada, Wiley.
Supplemental
1.
A Modern Theory ofFactorialDesigns,
Rahul Mukerjee and Jeff Wu, Wiley
Calendar Description:
An advanced treatment ofexperimental design. Topics can include: factorial designs, multi-stratum experiments, orthogonal
arrays, optimal design and robust parameter design.
Outline:
1. Fundamentalsof factorial design
2. Two-level designs
3. S-level designs
4. Ranking experiment designs
5. Robust parameterdesigns for industry
6. Designs with randomization restrictions
Grading Scheme:
Assignments/projects 70%
Exams 30%
Students should be aware that they have certain rights to confidentiality concerning the return ofcourse papers and the
posting ofmarks. Please pay careful attention to the options discussed in class atthe beginning ofthe semester. Students are
reminded thatAcademic Honesty is acornerstone ofthe acquisition ofknowledge. Scholarly integrity is required ofall
members ofthe University. Please consult the General Guidelines ofthe calendarfor more details.
SIMON FRASER UNIVERSITY
DEAN OF GRADUATE STUDIES
New Graduate Course Proposal Form
£._ PROPOSED COURSE
Subject (eg. MAPH)
STAT
Number (eg. 810)342
Course Title (max 80 characters)
Environmetrics
Short Title (appears on transcripts, max 25 characters)
Environmetrics
A>
Units (eg. 4)4
Course
Description for SFU Calendar
• see attached document • Learning outcomes identified
A practical introduction to analyzing (complex) ecological data using modern statistical methods. A
foundation for application of environmental models and methods in scientific research and policy.
Available Course Components: [ZlLecture DSeminar
DLaboratory
• Practicum
DOnline
•.
Grading Basis 0 Letter grades • Satisfactory/Unsatisfactory Din Progress/Complete
This is a capstone course DYes 0No
Prerequisites (if any)
• see attached document (if more space is required)
STAT 830 or permission of the instructor
DThis proposed course is combined with an undergrad course: Course numberand units:
Additional course requirements for graduate students
D See attached document (if this space is insufficient)
Campusat which course will be offered (check all that apply) ElBurnaby • Vancouver • Surrey DGNW ••
Estimated enrolment
10
Date of initial offering
TBD
Course delivery (eg. 3 hrs/week for 13 weeks)
4 hrs/week for 13 weeks
DYes 0 No
Practicum work done in this class will involve children or vulnerable adults
(If the "Yes" box is checked, all students will require criminal record checks)
Justification
DSee attached document (if morespace is required)
This course has been offered asa special topics course several times. The department's revision of the graduate program provided an opportunity to create a formal
structure and curriculum for it and to include it in the calendar. Moreover, there is substantial interest in this area from a research perspective among our faculty and students.
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
Rick Routledge, Carl Schwarz, Steve 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
None
Additional Library resources required (append details)
• Annually
$°
• One-time $JL
Revised April2012
PROPOSED COURSE
from first page
Program (eg. MAPH)
STAT
Course title (max 80 characters)
Environmetrics
Number (eg. 810) Q42
/f
Units (eg. 4)
A
\:r:
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
Departmental Approval
[non-departmentalized faculties need no>sicm)
Department Graduate Program Committee
Tim Swartz
Department Chair
Richard Lockhart
Signature
/XWa
Signatun
&?4-
Date
DEC 1 2
Date
I'HT 1
1
2012
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. '
FacultyGraduate Program Committee
Vr-Tr^ ?-O.PrtO
Signature
^r
?e
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.
Senate Graduate Studies Committee
Signature
X
-0.
Date
FJbV4A3
l -
CONTACT
Upon approval of the course, the Office of the Dean of Graduate Studies 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
Stat & Act Sci
Contact name
Sadika Jungic
Contact email
sjungic@sfu.ca
™jC"\
Proposed Course Outline
•^
STAT 842 Environmetrics
Day Course
fl
Students requiring accommodations asa result ofdisability, must contact the CentreforStudents with Disabilities 778-782-3112 orcsdo@sfu.ca
Instructor: TBA
Prerequisite:
Statistics 830 or permission from the instructor.
Textbook:
1. Analyzing Ecological Data (2007) by Zuur, leno & Smith (http://www.highstat.com/bookl.htm'>
Supplemental
1. Mixed Effects Modelsand Extensions in Ecologywith R (2009). Zuur, leno, Walker, Saveliev and Smith
(http://www.highstat.com/book2.htm)
2. Multivariate analysis of ecological communities, Digbyand Kempton
3. Multivariate Statistics in Wildlife and Ecological Research, McGarigal,
4. Numerical Ecology, Legendre and Legendre)
Calendar Description:
Apractical introduction toanalyzing (complex) ecological data using modern statistical methods. Afoundation for application
of environmental models andmethods in scientific research and policy.
Outline:
Topics covered include:
1. Data management
database design (third normal forms)
dealing with missing data
accessing databases from R and SAS
2. Regression methods
ordinary regression
partial least squares
principal component regression
canonical correlationanalysis
3. General additive models (GAM)
4. Mixed effect modelling
variance heterogeneity,
specialized covariance structures (e.g. spatial, timeseries)
5. Generalized linear models
6. Ordination
poisson/logistic/negative binomial regression
over-dispersion
zip/zib, zero truncated poisson models
generalized linear mixed models
Bray-Curtis ordination
Principal component analysis and redundancyanalysis
Partial RDA and variance partitioning.
Correspondence analysis
non-metric multidimensional scaling
7. Case studies in ecology
/2&)
generated from consulting service and experiences
students will be expected to analyze, write up a 10 page report, and prepare a 30 minute presentation
Grading Scheme:
Assignments/projects 80%
Exams 20%
Students should be aware that they have certain rights to confidentiality concerning the return ofcourse papers and the
posting ofmarks. Please pay careful attention to the options discussed in class at the beginning ofthe semester. Students are
reminded that Academic Honesty is a cornerstone ofthe acquisition ofknowledge. Scholarly integrity is required ofall
members ofthe University. Please consult the General Guidelines ofthe calendarfor more details.
SIMON FRASER UNIVERSITY
DEAN OF GRADUATE STUDIES
New Graduate Course Proposal Form
PROPOSED COURSE
Subject (eg. MAPH)
STAT
Course Title (max 80 characters]
Functional Data Analysis
Number [eg. 8101843
Short
Title (appears on transcripts, max 25 characters)
Functional Data
>?
Units [eg. 4)4
Course Description forSFU Calendar
• see attached document
• Learning outcomes identified
An introduction to smoothing and modelling of functional data. Basis expansion methods, functional
regression models and derivative estimation are covered.
Available Course Components:
ElLecture
DSeminar
DLaboratory
• Practicum
DOnline
•
Grading Basis GD Letter grades • Satisfactory/Unsatisfactory • In Progress/Complete
This is a capstone course
DYes
HNo
Prerequisites (if any)
Dsee attached document (if more space is required)
STAT 830 or permission of the instructor
DThis proposed course is combined with an undergrad course: Course number and units:
Additional course requirements for graduate students
• See attached document (if this space is insufficient)
Campus at which course
will be offered (check all that apply) H Burnaby • Vancouver • Surrey DGNW •.
Estimated enrolment
10
Date of initial offering
TBD
Course delivery (eg. 3 hrs/week for 13 weeks)
4 hrs/week for 13 weeks
DYes 0 No
Practicum work done in this class will involve children or vulnerable adults
(If the "Yes" box is checked, all students will require criminal record checks)
Justification
QSee attached document (if more space is required)
Followingrecent review of our programs and Ihe discipline, we determined that the material in this course is fundamental to modern statistical application and closely aligned with the
research interests of our faculty. Techniques taught here are applied directly to many problems and underlie the development of analyses for many more complex problems.
•Ht 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
David Campbell, Jiguo Cao
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
None
Additional Library resources required (append details)
• Annually $JL
• One-time $.
Revised
April2012
PROPOSED COURSE
from first page
Program (eg. MAPH)
STAT
Course title (max 80 characters)
functional Data Analysis
Number (eg. 810) 343
^
Units (eg. 4] 4
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 bysigning 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
Departmental Approval
(non-departmentalized faculties nee^not sign)
Department Graduate Program Committee
Signature
•.//'{
Tim Swartz
Department Chair
Richard Lockhart
Signature
wt*
Date
DEC
U
Date
DEC 12 2!
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 Program Committee
Signature C
-U
d.
_^_
Date
i<-*.
\
r
2S s
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.
Senate Graduate Studies Committee
Signatures ^s
o-*_«.
Date
y4L 14/13
CONTACT
Upon approval of the course, the Office of the Dean of Graduate Studies will consult with the department orschool regarding
othercourse attributes that may be required to enable the proper entry of the new course in the student record system.
Department / School / Program
Stat & Act Sci
Contact name
Sadika Jungic
Contact email
sjungic@sfu.ca
STA^r"\,
ProPosed Course Outline
STAT 843 Functional Data Analysis
Day
Course
a/
Students requiring accommodations as a result ofdisability, must contact the Centrefor Students with Disabilities 778-782-3112 orcsdo@sfu.ca
Instructor: TBA
Prerequisite:
Statistics 830 or permission from the instructor.
Textbook:
Ramsay, J. O. andB. W. Silverman (2005).
Functional Data Analysis (Seconded).
New York: Springer
Calendar Description:
An introduction to smoothing andmodelling functional data. Basis expansion methods, functional regression models and
derivative estimation are covered.
Outline:
Topics covered include:
1. Basis expansions and data smoothing
2. Roughness penalty smoothing
3. Bias/variance tradeoffand the smoothing parameter
4. Functional principal components
5. Functional regression models
6. Derivative estimation
7. Principal differential analysis
8. Differential equation models
Grading Scheme:
Assignments/projects 60%
Exams 40%
Students should be aware that they have certain rights to confidentiality concerning the return ofcourse papers and the
posting ofmarks. Please pay careful attention to the options discussed in class atthe beginning ofthe semester. Students are
remindedthat Academic Honesty is acornerstone ofthe acquisition ofknowledge. Scholarly integrity is required ofall
members ofthe University. Please consult the General Guidelines ofthe calendarfor more details.
SIMON FRASER UNIVERSITY
DEAN OF GRADUATE STUDIES
New Graduate Course Proposal Form
PROPOSED COURSE
<?«>
Subject (eg. MAPH)
STAT
Number [eg. 810)850
Units
(eg. 4)4
Course Title (max 80 characters)
Linear Models and Applications
Short Title (appears on transcripts, max 25 characters)
Linear Models and Appls
Course Description for SFU Calendar
• see attached document
• Learning outcomes identified
A modern
approach to normal theory for general linear models including models with random effects and "messy" data.
Topics include experimental units, blocking, theory of quadratic forms, linear contrasts, analysis of covariance, heterogeneous
variances, factorial treatment structures, means comparisons, missing data, multi-unit designs, pseudoreplication, repeated
measures mixed model formulation and estimation and inference.
Available Course Components:
IZI
Lecture
DSeminar
• Laboratory
• Practicum
• Online •
Grading Basis 0 Letter grades • Satisfactory/Unsatisfactory
Din Progress/Complete
This is a capstone course DYes 0No
Prerequisites (if any) Dsee attached document (if more space is required)
STAT 350 or equivalent
• This proposed course is combined with an undergrad course: Course number and units:
Additional course requirements for graduate students
• See attached document (ifthis space is insufficient)
Campus at which course will be offered (check all that apply) LZlBurnaby • Vancouver • Surrey [TJGNW •.
Estimated enrolment
10
Date of initial offering
Fall 2013
Course delivery (eg. 3 hrs/week for 13 weeks)
4 hrs/week for 13 weeks
• Yes 0 No
Practicum work done in this class will involve children or vulnerable adults
(Ifthe "Yes" box is checked, all students will require criminal record checks)
Justification
DSee attached document (if more space is required)
Following recent review of our programs and the discipline, we determined that the material in this course is both fundamental to modern statistical application and
useful in itsown right. Techniques taught here are applied directly to many problemsand underlie the development of analyses formany more complexproblems.
WM&
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
All faculty members can teach this, but it will most often be taught by Loughin, Schwarz and Bingham
Number of additional faculty members required in order to offer this course
0
Additional space required in order to offer this course Dsee attached document
0
Additional specialized equipment required in order to offer this course • see attached document
None
Additional Library resources required (append details)
• Annually$iL
• One-time $JL
Revised
April 2012
PROPOSED COURSE
from first page
Program (eg. MAPH) STAT
Course title [max 80 characters)
Jnear Models and Applications
Number (eg. 810) g5Q
,: .
Units (eg. 4]
4
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
Departmental Approval
(non-departmentalized faculties need noLffign
Department Graduate Program Committee
Tim Swartz
Department Chair
Richard Lockhart
Signature
Signature
Date
1
Date
DEC ? 2 2012
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 Proqram Committee
.
S^£fe \c«B^u
Signature f
Date
/H^w
lo^
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.
Senate Graduate Studies Committee
Signatuh
\K
GuX2^gs^^*
Date
v-JkM/cL
CONTACT
Upon approval of the course, the Office of the Dean of Graduate Studieswill 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
Stat & Act Sci
Contact name
Sadika Jungic
Contact email
sjungic@sfu.ca
T^T"\t_ ^roPosed Course Outline
STAT 850 Linear Models and Applications
Students requiring accommodations as aresult ofdisability, must contact the Centrefor Students with Disabilities 778-782-3112 or csdo@sfu.ca
Instructor: TBA
Prerequisite:
Statistics 350 or equivalent
Textbook:
Analysis ofMessy Data, Volume I: Designed Experiments,
by George A. Milliken, Dallas E. Johnson Publisher: Chapman-Hall
Calendar Description:
Amodern approach to normal theory for general linear models including models with random effects and "messy" data. Topics
include experimental units, blocking, theory ofquadratic forms, linear contrasts, analysis of covariance, heterogeneous
variances, factorial treatment structures, means comparisons, missing data, multi-unit designs, pseudoreplication, repeated
measures mixed model formulation and estimation and inference.
Outline:
1.
Basicsof experimental designs
2. Experimental designs with several sizes of experimental units
3.
Mathematics oflinear mixed models: identifiably, expected mean squares and quadratic forms.
4. Methods of estimating variance components
5. Analysis of multi-way models
6. Analysis of mixed models
7. Analysis
of nested models
Grading Scheme:
Assignments 30%
Midterm exam 30%
Final Exams 40%
Students should be aware that they have certain rights to confidentiality concerning the return ofcourse papers and the
posting ofmarks. Please pay careful attention to the options discussed in class at the beginning ofthe semester. Students are
reminded that Academic Honesty is acornerstone ofthe acquisition ofknowledge. Scholarly integrity is required ofall
members ofthe University. Please consult the General Guidelines ofthe calendarfor more details
SIMON FRASER UNIVERSITY
DEAN OF GRADUATE STUDIES
New Graduate Course Proposal Form
PROPOSED COURSE
Subject (eg. MAPH)
STAT
Number (eg. 810)851
Course Title (max 80 characters)
Generalized Linear Models and Discrete Data Analysis
Short Title (appears on transcripts, max 25 characters)
GLM and Discrete Data
DS
Units [eg. 4)A
Course Description for SFU Calendar • see attached document
• Learning outcomes identified
The theory and application of statistical methodology for analyzing non-normal responses. Special
emphasis on contingency tables, logistic regression, and log-linear models. Other topics can include
mixed-effects models and models for overdispersed data.
Available Course Components: fZlLecture
DSeminar DLaboratory
DPracticum
DOnline
•
Grading Basis 0 Letter grades •Satisfactory/Unsatisfactory • In Progress/Complete
This is a capstone course DYes [3 No
Prerequisites (if any)
Dsee attached document (if more space is required)
STAT 830 and STAT 850 or permission of instructor
• This proposed course is combined with an undergrad course: Course number and units:
Additionalcourse requirements for graduate students
• See attached document (if this space is insufficient)
Campus at which course will be offered (check all that
apply) LUBurnaby • Vancouver • Surrey [TJGNW •.
Estimated enrolment
10
Date of initial offering
Spring 2014
Course delivery (eg. 3 hrs/week for 13 weeks)
4 hrs/week for 13 weeks
DYes 0 No
Practicum work done in this class will involve children or vulnerable adults
(Ifthe "Yes" box is checked, all students will require criminal record checks)
Justification
• See attached document (ifmore space is required)
Following recent review of our programs and the discipline, we determined that the material in this course is both fundamental to modern statistical application and
useful in its own right. Techniques taught here are applied directly to many problems and underlie the development of analyses for many more complex problems.
EH& 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 theircompetency to teach the course is appended
Rachel Altman, Joan Hu, Rick Routledge
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
None
Additional Library resources required (append details)
• Annually $JL
• One-time $JL
Revised April 2012
5>Cr
PROPOSED COURSE
from first page
Program (eg. MAPH) STAT
Number (eg. 810) 35-]
Units (eg. 4) 4
Course title (max 80 characters)
3eneralized Linear Models and Discrete Data Analysis
APPROVAL SIGNATURES
When a department proposes a newcourse 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 ofother Faculties affected by the proposed new course
support(s) the approval of the new course.
Name of Faculty
Signature of Dean or Designate
Date
Departmental Approval
(non-departmentalized faculties need notsijyO
Department Graduate Program Committee
Tim Swartz
Siqnature
s//f
~^-^/t /
Dale
DEC
\
2 2012
Department Chair
Richard Lockhart
^w{ZiL^Jr~
Dale DEC 12 2012
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 Program Committee
CTtrfl
rp
i^
Ed
o
Signature
Y%6^
Dat(
U
hau/23^
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.
Senate Grad
LO
Studies Committee
'NcW*
Signature,
3&J
Date
r^\4/t^
CONTACT
Upon approval of the course, the Office of the Dean of Graduate Studies 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
Stat & Act Sci
Contact name
Sadika Jungic
Contact email
sjungic@sfu.ca
" j/"\_ Proposed Course Outline
STAT 851 Generalized Linear Models and Discrete Data Analysis
Day Course
Students requiring accommodations as aresult ofdisability, must contact the Centrefor Students with Disabilities 778-782-3112 or csdo@sfu.ca
Instructor:
TBA
Prerequisite:
Statistics 830 and Statistics 850 or permission from the instructor
Textbook:
Recommended:
1.
Generalized Linear Models, 2nd Edition,
by P. McCullagh and J.A. Nelder. Publisher: CRC Press.
2.
Categorical Data Analysis, 2nd Edition,
by Alan Agresti. Publisher: Wiley
3.
Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression
Models,
by Julian Faraway. Publisher: CRC Press.
Calendar Description:
The theory and application of statistical methodology for analyzing non-normal responses. Special emphasis on
contingency tables, logistic regression, and log-linear models. Other topics can include mixed-effects models and
models for overdispersed data.
Outline:
1. Analysis of contingency tables
2. Generalized linear models (GLMs)
a. The exponential family
b. Link functions
c. Relationship to linear models
d. Iterated reweighted least-squares estimation
3. Models for overdispersed data
a. Quasi-likelihood
b. Introduction to estimating functions
4. Models for multinomial data
a. Log-linear models
b. Ordinal responses
Grading Scheme:
Assignments - 50%
Midterm-20%
Final-30%
Students should be aware that they have certain rights to confidentiality concerning the return ofcourse papers
and the posting ofmarks. Please pay careful attention to the options discussed in class at the beginning ofthe
semester. Students are reminded that Academic Honesty is a cornerstone ofthe acquisition ofknowledge.
Scholarly integrity is required ofall members ofthe University. Please consult the General Guidelines ofthe
calendarfor more details.
SIMON FRASER UNIVERSITY
DEAN OF GRADUATE STUDIES
New Graduate Course Proposal Form
PROPOSED COURSE
Subject [eg. MAPHl
STAT
Number (eg. 810)852
Course Title (max 80 characters)
Modern Methods in Applied Statistics
Short Title (appears on transcripts, max 25 characters)
Modern Meth Appl Stat
I
Units [eg. 4)4
Course Description forSFU Calendar
• see attached document
• Learning outcomes identified
An advanced treatment of modern methods of multivariate statistics and non-parametric regression. Topics may include: (1) dimension reduction techniques
such as principal component analysis, multidimensional scaling and related extensions; (2) classification and clustering methods; (3) modern regression
techniques such as generalized additive models, Gaussian process regression and splines.
Available Course Components:
El Lecture
DSeminar
• Laboratory
• Practicum
DOnline
•
Grading Basis ED Letter grades D Satisfactory/Unsatisfactory D In Progress/Complete
This is a capstone course
DYes
0No
Prerequisites (if any)
D see attached document (if more space is required)
STAT 830 and STAT 853 or permission of instructor
• This proposed course iscombined with an undergrad course: Course number and units:
.
Additional course requirements for graduate students
• See attached document (if this space isinsufficient)
Campus at which course will be offered (check all that apply)
QBurnaby
• Vancouver
• Surrey
DGNW
•.
Estimated enrolment
15
Date of initial offering
Fall 2013
Course delivery (eg. 3 hrs/week for 13 weeks)
4 hrs/week for 13 weeks
• Yes_ EJ No
Practicum work done in this class will involve children or vulnerable adults
(If the "Yes" box is checked, all students will require criminal record checks)
Justification
DSee attached document (if more space is required)
Following recent review of our programs and the discipline, we determined that the material in this course is both fundamental to modern statistical application and
useful in its own right. Techniques taught here are applied directly to many problems and underlie the development of analyses for many more complex problems.
BUm
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
David Campbell, Tom Loughin, Brad McNeney
Number of additional faculty members required in order to offer this course
0
Additionalspace required in order to offer this course
• see attached document
0
Additional specialized equipment required in ordertooffer this course
• see attached document
None
Additional Library resources required (append details)
• Annually $JL
• One-time $£.
Revised
April2012
PROPOSED COURSE
from first page
Program (eg. MAPH)
STAT
Number (eg. 810) Q52
Units [eg. A) 4
Course title (max 80 characters)
Modern Methods in Applied Statistics
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 bysigning 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
Departmental Approval
[non-departmentalized faculties need not^sign
Department Graduate Program Committee
Tim Swartz
Department Chair
Richard Lockhart
Signature
Signature
<#/K
Date
DEC 12 2012
Date
DEC
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 Program Committee
4=
Signature
-SI c
-
~71&/L~
Senate Graduate Studies Committee Approval
SGSC approval indicates that the Libraryreport has been seen, and all resource issues dealt with. Once approved, new
course proposals are sent to Senate for information.
Senate Graduate^Studies Committee
\
&-
Signature7~"\
Date
Wso \4/i3>
CONTACT
Upon approval of the course, the Office of the Dean of Graduate Studies 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
Stat & Act Sci
Contact name
Sadika Jungic
Contact email
sjungic@sfu.ca
ST^T"\i_
ProPose^ Course Outline
J/T11 11
Nfa.
STAT 852 Modern Methods in Applied Statistics
Day Course
Students requiring accommodations asa result ofdisability, must contact the CentreforStudents with Disabilities 778-782-3112 orcsdo@sfu.ca
Instructor: TBA
Prerequisite:
Statistics 830 and Statistics 853, or permission from the instructor.
Textbook:
Recommended:
The elements ofstatistical learning: data mining, inference, andprediction,
by TrevorHastie, Robert
Tibshirani, Jerome H. Friedman, Publisher: Springer.
Calendar Description:
An advanced treatment of modern methods of multivariate statistics and non-parametric regression. Topics may include: (1)
dimension reduction techniques such as principal component analysis, multidimensional scaling and related extensions; (2)
classification and clustering methods; (3) modern regression techniques such as generalized additive models, Gaussian process
regression and splines.
Outline:
1. LinearMethods: Principalcomponents analysis and metric multidimensional scaling
2. Nonlinear Methods: ISOMAP and locally linear embedding
3. Classification, starting with a conceptual framework, and continuing with a discussion of specific classification methods,
including LDA, QDA, and KNN
4. Additive models, tress and related methods
5. Gaussian process regression, splines and reproducing kernel Hilbertspaces
Grading Scheme:
Assignments 50%
Projects 50%
Students should be aware thattheyhavecertain rights to confidentiality concerning the return of course papers andthe
posting ofmarks. Pleasepay careful attention to the optionsdiscussedin class at the beginningofthe semester. Students are
reminded thatAcademic Honesty is a cornerstone ofthe acquisition ofknowledge. Scholarly integrity is required of all
members ofthe University. Please consult the General Guidelinesofthe calendarfor more details.
SIMON FRASER UNIVERSITY
DEAN OF GRADUATE STUDIES
New Graduate Course Proposal Form
PROPOSED COURSE
Subject (eg. MAPH)
STAT
Number (eg. 810)853
Units (eg. 4)4
Course Title (max 80 characters)
Applications of Statistical Computing
Short Title (appears on transcripts, max 25 characters)
Statistical Computing
Course Description forSFU Calendar
•
see attached document
• Learning outcomes identified
An introduction to computational methods in applied statistics. Topics can include: the bootstrap, Markov Chain Monte Carlo, EM algorithm, as well as optimization and matrix
decompositions. Statistical applications will include frequentist and Bayesian model estimation, aswell asinference for complex models. The theoretical motivation and application of
computational methods will be addressed.
Available Course Components:
0 Lecture
DSeminar
• Laboratory
DPracticum
DOnline
•
Grading Basis 0 Letter grades • Satisfactory/Unsatisfactory Din Progress/Complete
This is a capstone course
DYes
LZlNo
Prerequisites (if any)
• see attached document (if more space is required)
STAT 830 or equivalent or permission of instructor
DThis proposed course is combined with an undergrad course: Course number and units:
Additional course requirements for graduate students
• Seeattached document (if thisspaceis insufficient)
Campus at which course will be offered (check alt that apply)
QBurnaby
DVancouver
Q Surrey
DGNW
•.
Estimated enrolment
15
Date of initial offering
Fall 2014
Course delivery (eg. 3 hrs/week for 13 weeks)
4 hrs/week for 13 weeks
• Yes
0 No
Practicum work done in this class will involve children or vulnerable adults
(If the "Yes" box is checked, all students will require criminal record checks)
Justification
DSee attached document (if more space is required)
The course is being proposed as part of a revamping of our graduate program. Statistical computing is afundamental skill (a research and ajob skill) for our qraduate
students and also an active area of research for several of our faculty members. Its absence is a glaring omission from our program, and this course fixes that problem.
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 memberls) who will normally teach this course
• information about their competency to teach the course is appended
David Campbell, Jinko Graham, Brad McNeney
Number of additional faculty members required in order to offer this course
0
Additionalspace required in order to offer this course
Dsee attached document
0
Additional specialized equipment required in order to offerthis course • see attached document
None
Additional Library resourcesrequired (append details)
• Annually $JL
• One-time $_°_
Revised April
2012
3^
PROPOSED COURSE
from first page
Program (eg. MAPH)
STAT
Number (eg. 810) 553
Units (eg. 4) 4
Course title (max 80 characters)
Applications of Statistical Computing
Wm>
APPROVAL SIGNATURES
When a department proposes a new course it must first be sent to the chairs of each faculty graduate program
committeewhere there might be an overlap in course content.The chairs will indicatethat 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 Facultiesaffected by the proposed new course
support(s) the approval of the new course.
Name of Faculty
Signature of Dean or Designate
Date
Departmental Approval (non-departmentalized faculties need not sign
Department Graduate Program Committee
Tim Swartz
Department Chair
Richard Lockhart
Signature
Signature
m^
Date
DEC 1 2 2012
Date
DEC 12 2
Faculty Approval
Faculty approval indicates that allthe necessary course content and overlap concerns have been resolved, and that the
Faculty/Department commits to providing the required Library funds andany other necessary resources.
Faculty Graduate Program Committee
Si9na,uWj^
1
a
•
'
Date
^
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.
Senate Graduate Studies Committee
U3 ^c-VW
:j>o^."~. *<L-_
i_-
Date
CONTACT
Upon approval ofthe course, the Office of the Dean ofGraduate Studies 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
Stat & Act Sci
Contact name
Sadika Jungic
Contact email
sjungic@sfu.ca
>n\/'\
Proposed Course Outline
J-LLU^i. STAT 853 Applications of Statistical Computing
Students requiring accommodations as a resultofdisability, must contact theCentrefor Students with Disabilities778-782-3112 or csdo@sfu.ca
Instructor: TBA
Prerequisite: Statistics 830 or equivalent or permission from the instructor
Textbook:
Recommended:
1.
Numerical Analysisfor Statisticians (2nd ed.),
by K. Lange, published by Springer, 2010; and
2.
Markov Chain Monte Carlo in Practice,
by W.R. Gilks, S. Richardson and D.J. Spiegelhalter, published by Chapman
and Hall, 1996.
Calendar Description:
An introduction to computational methods in applied statistics. Topics can include: the bootstrap, Markov Chain
Monte Carlo, EM algorithm, as well as optimization and matrix decompositions. Statistical applications will include
frequentist and Bayesian model estimation, as well as inference for complex models. The theoretical motivation and
application of computational methods will be addressed.
Outline:
1. Review of numerical issues
2. Likelihood inference: maximum likelihood methods and the EM algorithm
3. Applied Bayesian inference: sampling from posterior distributions
4. Optimization and root-finding
5. Estimation, posterior distributions, Bayes factors
Grading Scheme:
Assignments 25%
Projects 75%
Students should be aware that they have certain rights to confidentiality concerning the return ofcourse papers and the
posting ofmarks. Please pay careful attention to the options discussed in class at the beginning ofthe semester. Students are
reminded that Academic Honesty is a cornerstone ofthe acquisition ofknowledge. Scholarly integrity is required ofall
members ofthe University. Please consult the General Guidelines ofthe calendarfor more details.
SIMON FRASER UNIVERSITY
DEAN OF GRADUATE STUDIES
New Graduate Course Proposal Form
PROPOSED COURSE
Subject (eg. MAPH)
STAT
Number (eg. 810)854
Course Title (max 80 characters)
Biometrics: Methods in Biomedical Studies
Short Title(appears on transcripts, max 25 characters)
Biometrics
3</
Units (eg. 4)4
Course Description for SFU Calendar
• see attached document
• Learning outcomes identified
Principles, methods andapplications ofbasicstatistical approaches inbiomedical studies are presented. Topics include introduction toepidemiology; design ofcohort andcase-control
studies; experimental versus observational data, and cross-sectional versus longitudinal studies; issues ofconfounding, causation and missing data; design ofclinical trials; data monitoring
and interim analysis.
Available Course Components:
GO Lecture
DSeminar • Laboratory
DPracticum
DOnline
•
Grading Basis 0 Lettergrades • Satisfactory/Unsatisfactory • In Progress/Complete
This is a capstone course [TJYes 0No
Prerequisites (if any) • see attached document (if more space is required)
STAT 450 or permission of the instructor
• This proposed course is combined with an undergrad course: Course number and units:
Additional course requirements for graduate students
• See attached document (if this space is insufficient)
Campus at
which course will be offered (check all that apply) LZlBurnaby DVancouver • Surrey DGNW •.
Estimated enrolment
15
Date of initial offering
TBD
Course delivery (eg. 3 hrs/week for 13 weeks)
4 hrs/week for 13 weeks
• Yes 0 No
Practicum work done in this class will involve children or vulnerable adults
(If the "Yes" box is checked, all students will require criminal record checks)
Justification
QSee attached document (if more space is required)
This course has been offered as a special topics course. The department's revision of the graduate program provided an
opportunity to create a formal structure and curriculum for it and to include it in the calendar.
warn-
RESOURCES
If additionalresources 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 memberls) who will normally teach this course
• information about their competency to teach the course isappended
Rachel Altman, Jinko Graham, Joan Hu, Brad McNeney
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
None
Additional Library resources required (append details)
• Annually $_L
D One-time $±
Revised April 2012
PROPOSED COURSE
from first page
Program (eg. MAPH)
STAT
Number (eg. 810) g/54
Course title (max 80 characters)
iometrics: Methods in Biomedical Studies
:?-•
Units (eg. 4| 4
APPROVAL SIGNATURES
When a department proposes a new course it must first be sent to thechairs 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
Departmental Approval
(non-departmentalized faculties need npj£sign
Department Graduate Program Committee
Tim Swartz
Department Chair
Richard Lockhart
Signature
Signature
'01H,
Date
Date
DEC 12
Date
DL'C
Faculty Approval
Facultyapproval 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.
FacultyGraduate Program Committee
Signature C
Ym
w
TAtL
Senate Graduate Studies Committee Approval
SGSC approval indicates that the Library report has been seen, and all resource issues dealtwith. Once approved, new
course proposals are sent to Senate for information.
Senate Graduate Studies Committee
jlAJ*^.
Signature
C^^JSL
Date
^H/n
I
I' CONTACT
Upon approval of the course, the Office of the Dean of Graduate Studies will consult with the department orschool 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
Stat & Act Sci
Contact name
Sadika Jungic
Contact email
sjungic@sfu.ca
j/fflllV
Proposed Course Outline:
STAT 854 Biometrics: Methods in Biomedical Studies
Day Course
3C
Students requiring accommodations as aresult ofdisability, must contact the Centrefor Students with Disabilities 778-782-3112 or csdo@sfu.ca
Instructor: TBA
Prerequisite;
STAT 450 or permission of the instructor
Textbook:
Recommended:
1.
Fundamentals ofClinical Trials,
L M Friedman, C D Furberg, and D L DeMets, Springer-Verlag, New York.
2.
Clinical Trials: AMethodologic Perspective,
Second Edition, Piantadosi S., New York, NY: John Wiley &Sons.
3.
Statistical Methods in Cancer Research, Vol. 1 - The Analysis ofCase-Control Studies,
Breslow and Day, IARC.
Calendar Description:
Principles, methods and applications ofbasic statistical approaches in biomedical studies are presented. Topics include
introduction to epidemiology; design of cohort andcase-control studies; experimental versus observational data, and cross-
sectional versus longitudinal studies; issues of confounding, causation and missing data; design of clinical trials; data
monitoring and interim analysis.
Outline:
1. History,concepts and terminology of epidemiology.
2. Measures ofdisease occurrence and association.
3. Design of medical studies: cohortand case-control studies; controlled clinical experiments.
4. Models and analysis in prospective and retrospective studies.
5. Confounding, causal diagrams, and missing data.
6. Clinical trialdesign principles: bias control, random error control, randomization, blocking, masking
7. Types of clinical trials: phases of trial, translational, dose-finding, cross-over, safety and efficacy, and comparative
trials.
8. Study monitoring: sequential methods.
Grading Scheme:
Assignments 50%
Projects 50%
Students should beaware that they have certain rights to confidentiality concerning the return of course papers and the
posting ofmarks. Please pay careful attention to theoptions discussed in class at the beginning of the semester. Students are
reminded that Academic Honesty is a cornerstone ofthe acquisition ofknowledge. Scholarly integrity is required ofall
members ofthe University. Pleaseconsultthe General Guidelines ofthe calendarfor more details.
SIMON
PHASER
UNIVERSITY
DEAN OF GRADUATE STUDIES
New Graduate Course Proposal Form
PROPOSED COURSE
3?
Subject (eg. MAPH]
STAT
Number (eg. 810)856
Units (eg. 4)4
Course Title (max 80 characters)
Longitudinal Data Analysis
Short Title (appears on transcripts, max 25 characters)
Longitudinal Data
Course Description for SFU Calendar
Q see attached document
• Learning outcomes identified
Methods for the analysis of repeated measures, correlated outcomes and longitudinal data, including unbalanced and incomplete data sets,
characteristic of biomedical research are covered. Topics include covariance pattern models, random or mixed-effects models, multilevel models,
generalized estimating equations, inference for multistate processes and counting processes, and methods for handling missing data.
Available Course Components:
IZlLecture
• Seminar •Laboratory
• Practicum
^Online
•
Grading Basis • Letter grades •Satisfactory/Unsatisfactory • In Progress/Complete
This is a capstone course ClYes
0No
Prerequisites (if any) Dsee attached document (if more space is required)
STAT 450 or permission of the instructor
• This proposed course is combined with an undergrad course: Course number and units:
Additional course requirements for graduate students
DSee attached document (if this space is insufficient)
Campus at which course will be offered (check all that apply) [ZlBurnaby DVancouver • Surrey QGNW •.
Estimated enrolment
15
Date of initial offering
TBD
Course delivery (eg. 3 hrs/week for 13 weeks)
4 hrs/week for 13 weeks
• Yes 0 No
Practicum work done in this class will involve children or vulnerable adults
(If the "Yes" boxis checked, all students will require criminal record checks)
Justification
QSee attached document (if more space is required)
This course has been offered as a special topics course several times. The department's revision of the graduate program
provided an opportunity to create a formal structure and curriculum for it and to include it in the calendar.
•••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
Rachel Altman, Joan Hu, Michelle Zhou
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
None
Additional Library resources required (append details)
• Annually $_2_
• One-time $JL
Revised April 2012
PROPOSED COURSE
from firstpage
Program (eg. MAPH) STAT
Course title (max 80 characters)
longitudinal Data Analysis
Number leg. 810)
Q§Q
Units [eg. 4)
4
r:,: 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 bysigning 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
Departmental Approval
(non-departmentalized faculties need not sjo^t)
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 ProqramXommiUee
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.
Signat
Date
Senate Graduate Studies Committee
Signature,.
f~\
Date
L...":
CONTACT
Upon approval of the course, the Office ofthe Dean ofGraduate Studies 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
Stat & Act Sci
Contact name
Sadika Jungic
Contact email
sjungic@sfu.ca
iT*\f*
\
Proposed Course Outline
jjA
Na, SXAT 856 Longitudinal Data Analysis
Day Course
."J?
ct
Students requiring accommodations asa result ofdisability, must contact the CentreforStudents with Disabilities 778-782-3112 or csdo@sfu.ca
Instructor: TBA
Prerequisite:
STAT 450 or permission of the instructor
Textbook:
Recommended:
Analysis ofLongitudinal Data,
by Peter Diggle, Patrick Heagerty, Kung-Yee Liang, ScottZeger, Oxford
Statistical Science Series
Calendar Description:
Methods fortheanalysis of repeated measures, correlated outcomes andlongitudinal data, including unbalanced and incomplete
data sets, characteristic of biomedical research are covered. Topics include covariance pattern models, random or mixed-effects
models, multilevel models, generalized estimating equations, inference for multistate processes and counting processes, and
methods for handling missing data.
Outline:
1. Examples of longitudinal studies and approaches to longitudinal analysis.
2. Exploring correlation structures; parametric models for correlation
3. Contrasting marginal, random effects and transitional models
4. Random effects and conditional models
5. Marginal models using generalized estimation equations
6. Unbalanced and incomplete data
7. Multilevel models
8. Multi-state and transition models and methods for prospective cohort data
9. Counting processes
10. Fitting smooth curves
Grading Scheme:
Assignments 50%
Projects 50%
Students should be aware thatthey have certain rights to confidentiality concerning the returnofcoursepapersand the
posting
ofmarks. Please pay careful attention to the options discussedin class at the beginning ofthe semester. Students are
reminded thatAcademic Honesty is
a
cornerstone ofthe acquisition ofknowledge. Scholarly integrity is required ofall
members ofthe University. Please consult the General Guidelines ofthe calendarfor more details.
/.
o
MM
SIMON FRASER UNIVERSITY
EUK5J
DEAN OF GRADUATE STUDIES
New Graduate Course Proposal Form
••» PROPOSED COURSE
Subject (eg. MAPH)
STAT
Number (eg. 810)g57
Units (eg. 4)4
Course Title (max 80 characters)
Space-Time Models
Short Title (appears on transcripts, max 25 characters)
Space-Time Models
Course Description forSFU Calendar
• see attached document
• Learning outcomes identified
The theory and application of statistical approaches for the analysis of spatial and time dependent data. Topics will include:
point pattern analysis, spatial autocorrelation analysis, geostatistics, lattice processes, modeling spatial count and binary
data, spatio-temporal models and time series analysis.
Available Course Components:
ElLecture
DSeminar
DLaboratory
DPracticum
DOnline
•.
Grading Basis 0Letter grades D Satisfactory/Unsatisfactory Din Progress/Complete
This is a capstone course
FjYes
FT] No
Prerequisites (if any)
• see attached document (if more space isrequired)
STAT 830 or permission of the instructor
• This proposed course is combined with an undergrad course: Course number and units:
Additional course requirements for graduate students
• Seeattached document (if this space is insufficient)
Campus at which coursewill be offered (check all that apply)
ElBurnaby
DVancouver
• Surrey
DGNW •.
Estimated enrolment
15
Date of initial offering
TBD
Course delivery (eg. 3 hrs/week for 13 weeks)
4 hrs/week for 13 weeks
• Yes 0 No
Practicum work done in this class will involve children or vulnerable adults
(If the "Yes" boxis checked, all students will require criminal record checks)
Justification
QSee attached document (if more space is required)
This course has been offered as a special topics course several times. The department's revision of the graduate program
provided an opportunity to create a formal structure and curriculum for it and to include it in the calendar.
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
Richard Lockhart, Gary Parker, Jiguo Cao
Number ofadditional 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
D see attached document
None
Additional Library resources required (append details)
• Annually
%1
• One-time $JL
Revised
April 2012
PROPOSED COURSE
from first page
Program (eg. MAPH)
STAT
Course title (max 80 characters)
^pace-Time Models
Number [eg. 810) 357
Hi
Units (eg.
U\
4
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 ore-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) ordesignate 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
Departmental Approval
(non-departmentalized faculties need not^gn)
Department Graduate Program Committee
Tim Swartz
Department Chair
Richard Lockhart
Signature
Signature
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.
FacultyGraduate Program Committee
7- -TV-R.
^O^rfl^
Date
^6
S
Q.C
TSf-U
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.
Senate Graduate Studies Committee
Date
CONTACT
Upon approval of the course, the Office of the Dean of Graduate Studies will consult with the department orschool 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
Stat & Act Sci
Contact name
Sadika Jungic
Contact email
sjungic@sfu.ca
iTA\/"\
Proposed Course Outline
cf\
-2-
&^^
STAT 857 Space-Time Models
Day Course
Students requiring accommodations as a result ofdisability, must contact the Centrefor Students with Disabilities 778-782-3112 or csdo@sfu.ca
Instructor: TBA
Prerequisite:
STAT 830 or permission from the instructor
Textbook:
Recommended:
Statisticsfor SpatialData,
by Noel Cressie, Publisher: Wiley.
Calendar Description:
The theoryand application of statistical approaches for the analysis of spatialand time dependent data. Topics will include: point
patternanalysis, spatial autocorrelation analysis, geostatistics- lattice processes, modeling spatial count and binarydata, spatio-
temporal models.
Outline:
1. Visualization and exploration of spatial data, smoothing of maps for rates
2. Point pattern analysis: assessingwhethera pattern of locations is clustered, spatial point processes, nearest neighbour
statistics, bivariate and space-time point patterns
3. Spatial autocorrelation analysis: descriptive statistics for spatial autocorrelation, constructing spatialweights, visualizing
spatial, autocorrelation, local indicators of spatial association, multivariatespatial correlation
4. Geostatistics: variograms, kriging
5. Lattice processes; Markov chains; Markov random fields; neighbourhoods; joint distributions; joint distributions from
conditionals; pairwise interactions
6. Conditional exponential distributions and pairwiseonly distributions; conditional autoregressive models; selection of
neighbourhoods; auto-Poisson distribution; auto-binomial distribution
7. Spatial simultaneous and conditional models; moving averagemodels; autoregressive movingaverage models;
parameter estimation; connections to time series analysis
8. Mixture models; zero-heavy spatial count data
9. Extensions to spatio-temporal analyses
Grading Scheme:
Assignments 50%
Projects 50%
Students should beaware that they have certain rights toconfidentiality concerning the return of course papers and the
posting ofmarks. Please pay carefulattention to the options discussed in classat the beginning ofthesemester. Students are
reminded that Academic Honesty is a cornerstone ofthe acquisition of knowledge. Scholarly integrity is required of all
members ofthe University. Please consult the GeneralGuidelines ofthe calendarfor more details.
From: Leslie Rimmer «mailto:lsrimmer@sfu.ca>lsrimmer@sfu.ca>
Date: Wed, Aug 3, 2011 at 11:00 AM
Subject: Re: Proposed changes for the MSc program in Statistics
To: Derek Bingham «mailto:dbingham@stat.sfu.ca>dbingham@stat.sfu.ca>
Cc: waiter <<mailto:walter@sfu.ca>walter@sfu.ca>, Gwen Bird
«mailto:gbird@sfu.ca>gbird@sfu.ca>
Dear Derek,
Ihave reviewed the course proposals and outlines you sent, and have
determined that the library will be able to support these courses with
no additional resources from the department. Ihave therefore added
<http://www.lib.sfu.ca/collections/course-
assessments>http://www.lib.sfu.ca/collections/course-assessments to indicate
library sign off, as they move through the approval process.
Best regards,
Leslie
From: "Derek Bingham" «mailto:dbingham@stat.sfu.ca>dbingham@stat.sfu.ca>
To: "Leslie Rimmer" «mailto:lsrimmer@sfu.ca>lsrimmer@sfu.ca>
Sent: Friday, July 29, 201111:04:54 AM
Subject: Re: Proposed changes for the MSc program in Statistics
Hi Leslie,
Thanks for looking into this. There is no specific deadline, but in the
next week or so would be great. If this is too short notice, just drop me a
line.
All courses are at Burnaby and the enrollment is 10-15.
Derek
On Fri,Jul 29, 2011 at 10:58 AM, Leslie Rimmer
«mailto:lsrimmer@sfu.ca>lsrimmer@sfu.ca> wrote:
Hi Derek,
In addition to the deadline I asked for I also need to know at which campus
4Z
these courses will be be held aswell asthe estimated enrolment for each.
This information was missing from the course proposals. Ifyou could give me
that information I can proceed with the assessment.
Irealize we're going into along weekend and Imay not hear from until
next week which is fine. Have a good long weekend!
Best,
Leslie
♦From:
*"Leslie Rimmer" «mailto:Isrimmer@sfu.ca>lsrimmer@sfu.ca>
*To: *"Derek Bingham" «mailto:dbingham@stat.sfu.ca>dbingham@statsfu.ca>
*Sent: Tuesday, July 26,20111:52:45 PM
♦Subject:
*Re: Proposed changes for the MSc program inStatistics
Hi Derek,
Gwen mentioned she hadbeen chatting with you. Thank you for sending the
files for the course assessments. I'll take a look and let you know if I
have any questions. Would you mind letting me know when you need this?
Sometimes these assessments take awhile to complete and I'mconcerned about
the deadline.
Best,
Leslie
</4
2/13/13
SFU Connect
* *.t **
SFU Connect
sheilagh@sfu.ca
New courses: STAT 830, 831, 840, 841, 842, 843, 850, 851, 852, 853, 854, 856,
857
From
: Rosemary Hotell <hotell@sfu.ca>
Fri, Dec 21, 2012 03:01 PM
Subject:
New courses: STAT 830, 831, 840, 841, 842, 843,
#1 attachment
850, 851, 852, 853, 854, 856, 857
To :fgsc-list@sfu.ca
Please check the attached new courses for overlap and/or any other difficulties.
Please indicate your comments to me (Rosemary Hotell hotell@sfu.ca).
Thanks.
Rosemary Hotell
Dean of Science Office, TASC2 9905
Simon Fraser University
Telephone: 778.782.3772
Fax: 778.782.3424
p.
Sdean-ptr.sl2122114500.pdf
im
15 MB
htlps://connect.sfu.ca/zimbra/h/printmessage?id=208366
1/1
ks
SIMON PHASER UNIVERSITY
OEAW of graduate studies
Graduate Course
Minor
Change Form
This form isfor an SFU department or program torequest a minor change to an existing graduate course^ After approval
and signature by the faculty graduate studies committee, this form should be forwarded to the.Oean of Graduate Studies
for approval by the Senate Graduate Studies Committee (SGSC!. SGSC will.forward the approvalto Senate for information.
DEPARTMENT
Department / School./ Program
Statistics and Act. Science
Contact name
Derek Bingham
Contact email
cibingham@sfu.ca
Please revise the following elements of the indicated graduate course:
0Catalogue .number
D Units
DTitle
O Description D Other:.
'CURRENT COURSE
Please complete
only
the fields to be
changed.
Program (eg. ECON)
STAT
Number [eg. 81.0)
870
Course title (max 80 characters)
Unitsleg. 6)
Short title [appears on transcripts, max 25-characters!
Course description for SFU Calendar D see attached
Availablecourse components • Lecture •Seminar
• Laboratory
£j Practicum
D Online
D
Grading basis a Graded
D Satisfactory
(Unsatisfactory
• In Progress/ Complete
•
Prerequisites (if any)
This is combined withah uhdergrad course.
• Yes
• No
Course number and units:
=
;
Additionalcourse requirements for graduate students
Faculty grapjate studies committee name
Senate graduate studies committee name
Signature
BHHMEVfSED COURSE
Please complete only the field's
to be changed.
Program (eg. eCQNl
STAT
Number (eo. 810)
632
Course title (max 80 characters
Units [eg. 4}
Short title [appears on transcripts, max 25 characters)
Course description for SFU Calendar D see attached
Available course components D'Lecture • Seminar
D Laboratory D Practicum
QOnline
Q
Grading basis
D Graded
D Satisfactory / Unsatisfactory
Din Progress/Complete •
_^__
Prerequisites (it-any)
This is Combined yWtii an undergrad .course.
D Yes
D No
Course number and units:
___
Additionalcourse requirements for graduate students
iS^efe
m?)
Date
V<v^,
K±J\%
Date
ffe
SIMON. PHASER UNIVERSITY
D£AN OF GRADUATE STUDIES
Graduate Course Minor Ghanae Fo
This form isfor an SFU department or program to request a minor, change to an existing graduate course. After approval
and signature by the faculty graduate studies committee, thisform should b.e.fbrwarded to the Dean ofGraduate Studies
for approval bythe Senate- Graduate Studies Committee (SGSC). SGSC will forward the approval to Senate for information,
W^
DEPARTMENT
Department / School/ Program
Statistics and Act. Science
Contact name
Derek Bingham
Contact email
dbingham@sfu.ca
Please revise the following elements of the indicated graduate course:
ElCatalogue number
D Units
• Title
O Description
D Other;:
W» CURRENT COURSE
Please complete
only thefields to be
changed.
Program leg. ECON)
STAT
Number feg. 81D)
806
Course title[max 80 characters)
Units (eg.
A]
5horttitle (appears ontranscripts, max 25 characters)
Courso description for SFU Catondar
D see attached
Available coursecomponents
• Lecture • Seminar
• Laboratory
OPracticum
D Online
D
Grading basis
O
Graded
Q
Satisfactory/Unsatisfactory
D !n Progress/ Complete
D
Prerequisites (ifany)
Tnisis combined with an undergrad course.
• Yes
D No
Course number and units:
Additional course requirements for graduate students
PROVALS
v
I <r
i
REVISES COURSE
Please
complete only the fields
to be
changed.
Program [eg. ECON)
STAT
Number (eg. 810)
1855
Course title (max 80 characters)
Units[eg. 4)
Short title (appears on transcripts, max 25 characters)
Course description'forSFU Calendar
D see attached
Available course components
D Lecture
D Seminar
• Laboratory
•Practicum
D Online •
Grading basis
D Graded
D Satisfactory/ Unsatisfactory
• !h Progress / Complete
D
Prerequisites (ifany]
Thisis combined with an undergrad course.
Q
Yes
DNo
Course number and units:
Additional course requirements for graduate students
i^y* ^0
Facuttygraduate studies committee name
Signature?" \>. /
\
Date
Senate aradunte studies committee name
Signature
Date
SGSC checklist: Course deletion form
^Course Number/Credit
Course number Credit
Stat 801-4
HTitle
(1) LONG title
Statistics
(2) SHORT title
3
Rationale for the deletion:
New graduate program and new graduate courses are being proposed.
^Effective Term and Year
20XX Fall
**>
. ••
•
<-^ *•- - '" -
Before submission to SGSC:
^ check that this course is not needed for degree completion
3 check thatthis course is not cross-listed with otherunits.
^ ensure that all entries are deleted throughout the calendar.
O if this deletion affects the unit's admissions or program requirements, please reviseas
necessary and attach the new calendar language.
SGSC checklist: Course deletion form
^Course IVurntoeiVCreclit:
Course number Credit
Stat 802 - 4
ElXitle
(1) LONG title
Multivariate Analysis
(2) SHORT title
[X]
Rationale for the deletion:
New graduate program and new graduate courses are being proposed.
3
Effective Term ancl Year
20XX Fall.
Jo
•••'
Before submission to SGSC:
3 check that this course isnot needed for degree completion
2SI check that this course is not cross-listed with other units. \
Mc^^-y
.,«
)
Oc- ui;
3 ensure that all entries are deleted throughout the calendar.
'
H] ifthis deletion affects the unit'sadmissions or program requirements, please revise as
necessaryand attach the new calendar language.
ffc
SGSC checklist: Course deletion form
3 Course Number/Credit
Course number Credit
Stat 804 - 4
HXitle
(1) LONG title
Time Series Analysis
(2) SHORT title
^Rationale for the deletion:
New graduate program and new graduate courses are being proposed.
^Effective Termi and Year
20XX Fall.
Before submission to SGSC:
3 check that this course is not needed for degree completion
3 check that this course isnot cross-listed with other units, v
>n
£,u^» t
/
«
3 ensure that ail entries are deleted throughout the calendar.
•
ifthisdeletion affects the unit'sadmissions or program requirements, please revise as
necessary and attach the new calendar language.
SGSC checklist: Course deletion form
^ Course Number/Credit
Course number Credit
Stat 805 - 4
lElTitle
(1) LONG title
Non-Parametric Statistics and Discrete Data Analysis
(2) SHORT title
[X]
Rationale for the deletion:
New graduate program and new graduate courses are being proposed.
^Effective Term and Year
20XX Fall.
Before submission to SGSC:
3 check thatthis course is not needed for degree completion
1^1 check that this course is not cross-listed with other units. X^
//?
M* £^ ~y'
, V
^"
'r
-'
2SI ensure that all entries are deleted throughout the calendar.
|~~l if this deletion affects the unit'sadmissions or program requirements, please revise as
necessary and attach the new calendar language.
1/18/13
SFU Connect
-.-'
f
SFU Connect
sheilagh@sfu.ca
STAT courses to be deleted affect MoCCSy and BUS PhD electives
From
: Sheilagh MacDonald <sheilagh@sfu.ca>
Fri, Jan 18, 2013 02:10 PM
Subject:
STAT courses to be deleted affect MoCCSy and BUS
$1
attachment
PhD electives
To
: Colleen Collins <dodd@sfu.ca>, Rob Cameron
<cameron@sfu.ca>
Cc:
Mary Ann Pope <mpope@sfu.ca>, Rosemary Hotell
<hotell@sfu.ca>
Dear Colleen and Rob,
the attached STAT deletions will affect course offerings for Modelling of Complex Social
Systems and
the BUS PhD. (See calendar language.)
Wade suggests that you review the proposed STATcourses; you might want to
substitute a new course for a deletion. Please see the email Rosemary Hotell sent out for
cross-listing review on December 21st, 2012.
Sheilagh
p.
SKMBT_36313010318041.pdf
lm
2MB
https://connect.sfu.ca/zimbra/h/prinlmessage?id=212933
1/1
Modelling of Complex Social Systems Certificate Program - Ac... Page 2 of2
• CRIM 821-3 Criminal Justice Policy Analysis: A Systems Approach
• CRIM 862-3 Research Methods III
Graduate students in criminology will complete 800 division courses.
Geography
• GEOG 352-4 Spatial Analysis
• GEOG 451-4 Spatial Modeling
• GEOG 453W-4 Remote Sensing of Environment
• GEOG 455-4 Theoretical and Applied GIS
• GEOG 457-4 Geovisualization Interfaces
• GEOG 604-5 Research Design and Analytical Techniques in Human Geography
• GEOG 606-5 Research Design and Analytical Techniques in Physical Geography
• GEOG651-4 Advanced Spatial Analysis and Modeling
• GEOG 653-4 Theoretical and Applied Remote Sensing
• GEOG 655-4 Advanced Principles of Geographic Information Science
Graduate students in geography willcomplete 600 division courses.
Health Sciences
• HSCI802-4 Principles of Epidemiology for Public Health
• HSCI 805-3 Intermediate Epidemiologic Methods
• HSCI 803-3 Qualitative and Survey Research Methods
• HSCI 815-3 Concepts of Population and Public Health Practice
• HSCI824-3 Comparative Health Systems
• HSCI 826-3 Program Planning and Evaluation in Global Health
• HSCI827-3 Analysis of the Canadian Health Care DeliverySystem
• HSCI 835-3 Social and Behavioural Contexts of Health and Disease
• HSCI 845-3 Environmental and Occupational Health
• HSCI 806-3 Principles of Demographic Analysis
Mathematics
• MACM316-3 Numerical Analysis I
• MACM 409-3 Numerical LinearAlgebra:Algorithms, Implementationand Applications
• MACM416-3 Numerical Analysis II
• MATH308-3 Linear Optimization
• MATH309-3 Continuous Optimization
• MATH348-3 Probabilistic Models in Operations Research
• MATH 408-3 Discrete Optimization
• MATH445-3 Graph Theory
• MATH 448-3 Network Flows
• MATH708-3 Discrete Optimization
• MATH709-3 Numerical Linear Algebra and Optimization
• MATH7163 Numerical Analysis II
• MATH745-3 Graph Theory
• MATH 748-3 Network Flows
Graduate students in mathematics willcomplete 700 division courses.
Statistics
• STAT 302-3 Analysis of Experimental and Observational Data
• STAT 350-3 Linear Models in Applied Statistics
• STAT 403-3 IntermediateSampling and Experimental Design
• STAT 410-3 Statistical Analysis of Sample Surveys
• STAT 430-3 Statistical Design and Analysis of Experiments
• STAT 602-3 Generalized Linearand Nonlinear Modeling
• STAT650-5Quantitative Analysisin Resource Managementand Field Biology
• STAT 802-4 Multivariate Analysis
• STAT 804-4 Time Series Analysis
• STAT805-4Non-Parametric Statisticsand Discrete Data Analysis
• STAT 806-4 Lifetime Data Analysis
• STAT 870-4 Applied ProbabilityModels
Graduatestudents Instatisticswillcomplete 800 division courses.
Return to the Dean of Graduate Studies index page.
S-.2-
For calendar technical problems orerrors, contactcalendar-sfu@sfu.ca | Calendar changesandcorrections
8888 Univeisity Drive. Bumaby. B.C. Canada V5A1S8
Terms / Privacy
Contact SFU
SiteMap
Road CondKions
O Simon Fraser University
http://students.sfuxa/calendar/dean-graduate-st/modelling-compl... 1/18/2013
Business Doctor ofPhilosophy Program - Academic Calendar -... Page 2 of 3
Core courses will be offered once a year.
Core Courses (for finance students only)
Finance students only complete all of
• BUS 815-4 Portfolio Theory
or
• ECON 815-4 Portfolio Theory
• ECON 803-4 Microeconomic Theory II
• ECON 837-4 Econometric Theory I
Core
courses willbe offered once a year.
Research Methods
The research methods minor area requires three research methods courses approved by both the PhD program director and the student's
seniorsupervisor. These courses are deemed pertinentto the student's specificresearch.Othercourses willbe considered if they meet the
needs of the PhD candidate. Examples of some possible courses are as follows.
• ECON 835-4 Econometrics
• ECON 836-4 Applied Econometrics
• ECON 837-4 Econometric
Theory I
• ECON 838-4 Econometrics
Theory HA
• ECON 863-4 Fisheries Economics 4
• ECON 867-4 Regional Development Problems
• PSYC 911-3 Research Design II:Research Studies
• STAT 602-3 Generalized Linear and Nonlinear modelling
• STAT 801-4 Statistics
• STAT 802-4 Multivariate Analysis
• STAT 805-4 Non-parametric and Discrete Data Analysis
• STAT 806-4 Lifetime Data Analysis
These three required research methods courses will be completed in the first five terms. The student's supervisor can add to, or substitute,
minor courses in consultation with the director of the PhD program.
Course Specialization
These three to five courses are set and administered by the senior supervisor in consultation with the student'ssupervisory committee and the
PhD programdirector.These courses can include Beedie School of Business graduate courses, directed studies courses, special topics, as well
as approved graduate courses Inother programs or universities. It is highly recommended that at least one of the major courses be given by the
student's senior supervisor. In special
cases, the senior supervisor can recommend, in consultation with the PhD director, that the student
complete fewer, or more, courses than required in the major. At least two courses should be completed at Simon FraserUniversity.
Qualifying Courses
Students without priorbusiness education or those who lack some specific background, or combination of education and experience, may be
required to complete qualifying
courses after PhD program admission. These requirements are at the discretion of the PhD director in
consultationwith potential senior supervisors. The number of qualifying courses may vary widely depending on the student's specific
background and their intended area of study.
Third Term Project (Summer Project)
PhD students willgenerate a research project in their third term that will be graded by the senior supervisor on a pass/fail basis. The student can
rewrite the projectonce. Ifthe grade is still deficient, they win be asked to withdraw from the program. Those who pass the research project will
present itin an open research presentations. Questions and answers emerging in this context should assist the student to develop their
research.
PhD Comprehensive Exam
PhD students must pass a comprehensive exam in the sixth term of the program.This willinclude written examinations in each student's major
and methodology minor, followed by an oral exam.
Dissertation Proposal Defence
8888 Univeisity Drive, Bumaby, B.C. Canada V5A1SS Terms/Privacy Contact SFU
SiteMap Road Conditions O Simon Fraser University
http://students.sfu.ca/calendar/business/bus-phd.html
1/18/2013
Proposed Calendar Changes MSc program in Actuarial Science.
FROM:
Actuarial Science Master of Science Program
Department ofStatistics and Actuarial Science \ Faculty ofScience
Simon Fraser University Calendar 2012 2013 Fall
Admission Requirements
See the Graduate General Regulations for admission requirements.
See Graduate General Regulation Section 1.3 for further information.
Applicants whose first language is not English normally submit #ie Test of English as a Foreign
Language (TOEFL) results.
Applicants with degrees in areas other than statistics are encouraged to apply provided they have some
formal training in statistical theory and practice.
Program
Requirements
Students comploto at least 36 units, in actuarial and related fields beyond those that wore completed for
the bachelor's degree. This is comprised of 30 units of course work plus a 6 unit project.
Of the 30 units of course work, a minimum of 21 units will bo graduate courses or seminars, and the
remaining 6 units arc ehoson from graduate courses or those 400 division undergraduate courses which
may be completed for credit for a BSc degree.
The MSc in Actuarial Science requires a total of 36 units consisting of a 6 unit project and a further 30
units of course work of which at least 24 must be at the graduate level.
Students normally complete 30 units including
Normally these courses must include
•—STAT 801 4 Statistics
•
Stat 830-4 Statistical Theory 1
and at least two of
•
ACMA 820-4 Stochastic Analysis of Insurance Portfolios
•
ACMA 821-4 Advanced Actuarial Models
•
ACMA 822-4 Risk Measures and Ordering
and at least two of
ACMA 850-4 Actuarial Science, Selected Topics
STAT 802 4 Multivariate Analysis
STAT 801 4 Time Series Analysis
STAT 805 4 Non-Parametric Statistics and Discrete Data Analy:
STAT 850-4 Linear Models and Applications
Proposed Calendar Changes MSc program in Actuarial Science.
STAT 851-4 Generalized Linear Models and Discrete Data Analysis
STAT 852-4 Modern Methods in Applied Statistics
STAT 853-4 Applications of Statistical Computing
STAT 806 4 855-4 Lifetime Data Analysis
STAT 870 4 Applied Probability Models
STAT 890 4 Statistics: Solectcd Topies
STAT 856-4 Longitudinal Data Analysis
STAT 857-4 Space-Time Models
STAT 890-4 Statistics: Selected Topics
Project
AH As well, students submit and successfully defend a 6 unit project (STAT 898-6 >based on an
actuarial science problem. Sec the Graduate General Regulations for further information. See the
Graduate General Regulations Section 1.10 for further information.
Program Length
This MSc program is expected to take 6 semesters. Typically, the course work takes four semesters, and
the project, including the defense, is expected to require up to two semesters. Those without strong
iindergraduate backgrounds may be required to take certain undergraduate courses in the Departmentin
addition to the program requirements.
Academic Requirements within the Graduate General Regulations
All graduate students must satisfy the academic requirements that are specified in the Graduate General
Regulations(residence. course work, academic progress, supervision, research competence requirement,
completion time, and degree completion), as well as the specific requirements for the program in which
they are enrolled, as shown above.
t>
s
Proposed Calendar Changes MSc program in Actuarial Science.
TO:
Actuarial Science Master of Science Program
Department ofStatistics and ActuarialScience \ Faculty ofScience
Simon Fraser University Calendar 20IS Fall
Admission Requirements
See Graduate General Regulation Section 1.3 for further information.
Applicants whose first language is not English normally submit Test of English as a Foreign Language
(TOEFL) results.
Program Requirements
The MSc in Actuarial Science requires a total of 36 units consisting of a 6 unit project and a further 30
units of course work of which at least 24 must be at the graduate level.
Normally these courses must include
•
Stat 830-4 Statistical Theory I
and at least two of
•
ACMA 820-4 Stochastic Analysis of Insurance Portfolios
•
ACMA 821-4 Advanced Actuarial Models
•
ACMA 822-4 Risk Measures and Ordering
and at least two of
ACMA 850-4 Actuarial Science, Selected Topics
STAT 850-4 Linear Models and Applications
STAT 851-4 Generalized Linear Models and Discrete Data Analysis
STAT 852-4 Modern Methods in Applied Statistics
STAT 853-4 Applications of Statistical Computing
STAT 855-4 Lifetime Data Analysis
STAT 856-4 Longitudinal Data Analysis
STAT 857-4 Space-Time Models
STAT 890-4 Statistics: Selected Topics
Project
All students must submit and successfully defend a 6 unit project (STAT 898-6) based on an actuarial
science problem. See the Graduate General Regulations Section 1.10 for further information.
<?7Y
Proposed Calendar Changes MSc program in Actuarial Science.
Program Length
This MSc program is expected to take 6 semesters. Typically, the course work takes four semesters, and
the project, including the defense, is expected to require up to two semesters. Those without strong
undergraduate backgrounds may be required to take certain undergraduate courses in the Departmentin
addition to the program requirements.
Academic Requirements within the Graduate General Regulations
All graduate students must satisfy the academic requirements that are specified in the Graduate General
Regulations (residence, coursework, academic progress, supervision, research competence requirement,
completion time, and degree completion), as well as the specific requirements for the program in which
they are enrolled, as shown above.
£E
FROM:
Statistics Master of Science Program
Department ofStatistics and Actuarial Science
|
Faculty ofScience
Simon Fraser University Calendar 2012 2013 Fall
The master of science (MSc) program offers a wide range of statistical techniques and provides
experience in practical statistics application. It teaches statistical expertise for careers in either theoretical
or applied statistics.
The MSc program in statistics combines applied and theoretical training in state
of the art statistical
methodology, hands-on consulting experiences, a project in data analysis or in the development of new
statistical methodology, and the opportunity to gain work experience through co-operative education.
The program prepares graduates for careers as statisticians in industry, government, consulting, and
research organizations. In addition, graduates receive the foundational training to continue on to PhD
studies.
Students with
a
good undcrgraduoto background in statistics will normally comploto the course work
shown bolow in four terms. Tho project, including tho defence, is oxpoctod to require two terms or loss.
Students with backgrounds in other disciplines, or with an inadequate background in statistics, may bo
required to comploto certain undergraduate courses in tho department in addition to tho roquiromonts
shown below.
Admission Requirements
Soo the Graduate Gonoral Regulations for admission roquiromonts.
See Graduate General Regulation Section 1.3 for further information.
Applicants whose first language is not English normally submit the Testof English as a Foreign
Language (TOEFL) results.
Applicants with degrees in areas otherthan statistics are encouraged to apply provided theyhave some
formal training in statistical theory and practice.
Program Requirements
Students complete at least 30 units in statistics and rolatod fields boyond thoso that wore completed for the
bachelor'sdogroo. Of these 30,at least 21 will bo graduate courses or seminars, and tho remaining sixaro
chosen from graduate courses or thoso 400 division undergraduate courses which may be completed for
credit for tho BSc in statistics. Normally thoso courses will include
The MSc in Statistics requires a total of 36 units consisting of a 6 unit projectand a further 30 units of
course work of which at least 24 must be at the graduate level.
Normally these courses must include
•—STAT 801 4 Statistics
•
STAT 811-2 Statistical Consulting I
•
STAT 812-2 Statistical Consulting 1
And at least four of
STAT 802 4 Multivariate Analysis
STAT 801 1 Time Sorios Analysis
-STAT 805 4 Non Parametric Statistics and Discroto Data Analy;
-STAT 806 1 Lifetime Data Analysis
-STAT 870 4 Applied Probability Models
STAT 890 4 Statistics: Soloctod Topics
-STAT 891 2 Seminar
STAT 830-4 Statistical Theory I
STAT 850-4 Linear Models and Applications
STAT 851-4 Generalized Linear Models and Discrete Data Analysis
STAT 852-4 Modern Methods in Applied Statistics
STAT 853-4 Applications of Statistical Computing
Project
As well. All students submit and successfully defend a 6 unit project (STAT 898-6) based on a statistical
analysis problem. See the Graduate General Regulations Section 1.10 for further information.
As well, students must submit and successfully defend a project based on somo problem of statistical
analysis, as outlined in tho Graduate General Regulations. This problem will often arise out of the
statistical consulting service.
Soo Graduate General Regulations Section 1.10 for further information.
Program Length
Students with a good undergraduate background in statistics will normally complete the course work in
up to four terms. The project, including the defense, is expected to require up to two terms. Students with
backgrounds in other disciplines, or with an inadequate background in statistics, may be requiredto
complete certain undergraduatecourses in the department in addition to the requirements shown above.
Academic Requirements within the Graduate General Regulations
All graduate students must satisfy the academic requirements that are specified in the Graduate General
Regulations (residence, course work, academic progress, supervision, research competence requirement,
completion time, and degree completion), as well as the specific requirements for the program in which
they are enrolled, as shown above.
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Statistics Master of Science Program
Department ofStatistics and ActuarialScience \ FacultyofScience
SimonFraser University Calendar 2013 Fall
Themaster of science (MSc) program offers a wide range of statistical techniques and provides
experience in practical statistics application. It teaches statistical expertisefor careers in either theoretical
or applied statistics.
The MSc program in statisticscombines applied and theoretical training in state of the art statistical
methodology, hands-on consulting experiences, a project in dataanalysis or in the development of new
statistical methodology, andthe opportunity to gain work experience through co-operative education.
The program prepares graduates for careers asstatisticians in industry, government, consulting, and
research organizations. In addition, graduates receive the foundational trainingto continue on to PhD
studies.
Admission Requirements
See Graduate General Regulation Section 1.3 for further information.
Applicants whose first language is not English normally submit Test ofEnglish as a Foreign Language
(TOEFL) results.
Applicants with degrees in areas other than statistics are encouraged toapply provided they have some
formal training in statistical theory and practice.
Program Course Requirements
The MSc in Statistics requires a total of36units consisting of a 6 unit project and a further 30units of
course workof whichat least24 must be at the graduate level.
Normally these courses must include
STAT811-2 Statistical Consulting I
STAT 812-2 Statistical Consulting I
STAT 830-4 Statistical Theory I
STAT 850-4 LinearModels and Applications
STAT 851-4 Generalized Linear Models and Discrete Data Analysis
STAT 852-4 Modern Methods in Applied Statistics
STAT 853-4 Applications of Statistical Computing
/
Project
All students submit and successfully defend a 6 unit project(STAT 898-6 ) based on a statistical analysis
problem. See the Graduate General Regulations Section 1.10 for further information.
Program Length
Students with a good undergraduate background in statistics will normally complete the course work in
up to four terms. The project, includingthe defense, is expectedto require up to two terms. Studentswith
backgrounds in otherdisciplines, or with an inadequate background in statistics, may be required to
complete certain undergraduate courses in the department in addition to the requirements shownabove.
Academic Requirements within the Graduate General Regulations
All graduate students must satisfythe academic requirements that are specified in the GraduateGeneral
Regulations (residence, course work, academic progress, supervision, research competence requirement,
completion time, and degree completion), as well as the specific requirements for the program in which
they are enrolled, as shown above.
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