jfaji Itutwfa

SFU

MEMORANDUM

ATTENTION

FROM

RE:

S.12-80

OFFICE OF THE ASSOCIATE VICE-PRESIDENT, ACADEMIC AND

ASSOCIATE PROVOST

8888 University Drive,

Burnaby, BC

Canada V5A1S6

TEL: 778.782.4636

FAX: 778.782.5876

Senate

Bill Krane, Chair

Senate Committee on

Undergraduate Studies

Faculty of Science (SCUS 12-21

DATE

PAGES

avpcioOsfu.ca

www.sfu.ca/vpacademic

April 10,2012

1/1

For information:

Acting under delegated authority at its meeting ofApril 5, 2012, SCUS approved the

following curriculum revisions effective Spring 2013:

1. Department of Biological Sciences (SCUS 12-21a]

(i) Description and prerequisite change to BISC 419

(ii) Prerequisite changes to BISC 101, 102

2. Department of Molecular Biology and Biochemistry (SCUS 12-21 b)

(i) New Course Proposal: MBB 471, Undergraduate Colloquium

3. Department of Statistics and Actuarial Science (SCUS 12-21c)

(i) Prerequisite and/or description change to STAT 285, 380

(ii) Course deletions of STAT 400, 402

(iii) New Course Proposals:

STAT 340-3, Introduction to Statistical Computing and Exploratory Data Analysis

STAT 445-3, Applied Multivariate Analysis

STAT 475-3, Applied Discrete Data Analysis

STAT485-3, Applied Time Series Analysis

(iv) Changes to the Statistics Major and Honors Programs Upper Division

requirements

(v) Changes to the Statistics Minor Program Lowerand Upper Division requirements

Senators wishing to consult a more detailed report of curriculum revisions may do so by

going to Docushare: https://docushare.sfu.ca/dsweb/View/Collection-12682

If you are unable to access the information, please call 778-782-3168 or email

shellev gairOsfu.ca.

SIMON FRASER UNIVERSITY

THINKING OF THE WORLD

SCUS 12-21

SFU

TO:

Bill Krane, Chair, SCUS

FROM:

G. Agnes, Associate Dean

Faculty of Science

RE:

Faculty of Science Curriculum

DATE:

March 26, 2012

Items

The Faculty of Science has approved the following, which must now be considered by SCUS.

Please place these items on the agenda of the next SCUS meeting.

Biological Sciences

a) Change to description of how auppluikWlaiy (te for MASC courses are approvod

b) Description and prerequisite changes for BISC 419

c) Prerequisite changes to BISC 101 and BISC 102

Molecular Biology & Biochemistry

New course - MBB 471

3. Statistics & Actuarial Science

a) Prerequisite and description change to STAT 285 and prerequisite change to STAT 380

b) Course deletions - STAT 400 and STAT 402

c) New courses - STAT 340, STAT 445, STAT 475 and STAT 485

d) Changes to the Statistics Major and Honors programs

e) Changes to the Statistics Minor program

Enclosure

c. J. Hinchliffe,C. Cupples

David Green

Associate Professor

Chair,

Departmental

Undergraduate

Curriculum Committee

8888 University Drive,

Burnaby BC Canada

V5A IS6

TEL: 778.782.3981

FAX: 778.782.3496

EMAIL: djgreen@sfu.ca

SFU

Department of

Biological Sciences

SCUS 12-21a

ATTENTION : GeorgeAgnes

Faculty

Science

Undergraduate

Curriculum

Committee

FROM: David Green, Chair, Undergraduate Curriculum Committee

COPY: Felix Breden, Chair Department of Mathematics

RE: Calendar Changes

DATE: Feb 12012

Please find enclosed documents relating to undergraduate curriculum

changes approved by the Department of Biological Sciences on Jan 16 2012

to be considered at the next Faculty of Science Undergraduate Curriculum

Committee Meeting.

1. Thatn proposed ehango to how the cakudai describes huw supplementary

fees for MASC oourpon ic approvod.

0 Alter calendar entry to indieate studonts nood to contact

Bemfinlri Mnrinn Srinnr-nr fnnh-n

pegaf&ftg

fllipplcmcntary fcee -

2. That course description changes to BISC 419 be approved.

• Remove the statement that attendance on field trips is required

3. That prerequisite changes to BISC 101, BISC102 and BISC 419 be

approved

• Change the prerequisite of BISC 101 from

Prerequisite: High school biology 12 (or equivalent) with a C grade

or better, or BISC 100

Prerequisite: High school biology 12 (or equivalent) with a C grade

oi better, or BISC 100 with C- or bettor, or HSCI 100 with

C+

better.

• Change the prerequisite of BISC 102 from

Prerequisite: High school biology 12 (or equivalent) with a C grade

or belter, or BISC 100

Prerequisite: High school biology 12 (or equivalent) with a C grade

or better, or BISC 100 withC- or better, or HSCI 100 withOf or

better.

SIMON PHASED UNIVERSITY

THINKING OP THE WORLD

SFU

Department of

Biological Sciences

Change the preiequisite of BISC 419 from

Prerequisite: BISC 304. Recommended: BISC 316

Prerequisite: BISC 304. Recommended: BISC 316 and STAT 201

SIMON FRASER UNIVERSITY

THINKING OF THE WORLD

SFU

SENATF COMMITTEE ON

COURSE CHANGE/DELATION

UNDERGRADUATE STUDIES

EXISTING COURSE, CHANGES RECOMMENDED

Please check appropriate revision(s):

U Course number

U Credit

• Title

• Description

• Prerequisite

D Course deletion

D Learning Outcomes

Indicate number of hour'for: L-cture 5

Seininar_

Tutorial

Lai 3

FR0M

BISC 419 (Wildlife Biology)

Course

Subject/Number

Course

Subject/Number

Credits

TITLE

(1) LONC; title for calendar and schedule, no mow than 10i> characters including spaces and punctuation.

FROM:

TO:

(2) SHORT title (or enrollmeu; and transcript, no move than 30 characters including spaces and punctuation.

FROM:

TO:

DESCRIPTION

FROM:

T0.

Theoretical

relation

wildlife

and

applied

populates

aspects

and

theirecologyhabitats,and

behavior

with

emphasis

Theoreticalrelation

wildlife

and

appliedpopulations

aspects

and

theirecology

habitatsand

behavior

ilh

emohasle

on local'field

T£™e

Sled

C°'Umbia- Attendance

on imPor,anl mam™'s and birds

Brftlsh Columbia

PREREQUISITE

Does this cou,* replicate the content of a previously approved course to snch an extent that students should not receive credit for both coursed

If so, this should be noted in the prerequisite.

Prerequisite: BISC 304. Recommended BISC 316

Prerequisite: BISC 304. Recommended: BISC 316 and STAT

FROM:

-J-Q. 201

LEARNING OUTCOMES

RATIONALE

Change lo course description: Field trips are not offered every time this course is taught

SSThrytfSlwSS,a"SliCa' ana'VSiS °'** C°I"'C"", by 5'UdMSSnd SUden'S™ou,d be b81tef P«P«-<°'

Elfi etivt term jnd year

rull'Qfttf Ul- Fall 2013

JANUARY 20f2

SFU

SENATE COMMITTEE ON

UNDERGRADUATE STUDIES

COURSE CHANGE/DELETION

EXISTING COURSE, CHANGES RECOMMENDED

Please check appropriate revision(s):

I—I Course number

I—I Credit

I—I Title

I I Description

E Prerequisite

Indicate number of hours for: Lecture _

Seminar_

FROM

8ISC1°1

Course

Subject/Number

Course

Subject/Number

Credits

Credits,

I—I Course deletion

Tutorial

TITLE

(1) LONG title for calendar and schedule, no more than

1(1(1

characters including spaces and punctuation.

FROM:

TO:

(2) SHORT tide for enrollment and transcript, no more than 3D characters including spaces andpunctuation.

FROM:

TO:

DESCRIPTION

FROM:

DESCRIPTION

TO:

I—I Learning Outcomes

Lab

PREREQUISITE

Does this course replicate the content of a previously approved course to such an extent d;at students should not receive credit for both courses?

Ifso, this should be

noted in the prerequisite.

Prerequisite: High school biology 12 (or equivalent) with a

Prerequisite' High school biology 12 (or equivalent) with a C

FROM: c 9rade or better, or BISC 100

T0,9rade or better, or BISC 100 with C- or better, or HSC1100

' with C+ or better.

LEARNING OUTCOMES

RATIONALE

For addition: HSC1100 has a curriculum that is more closely aligned withthe curriculumof Biology 12 than BISC 100 and is

therefore equally well suited

as a prerequisite for BISC101. HSCIalso uses BISC101 as a required course.

Fordifferences in grade requirements: Students in HSC1100 and BISC 100 enter these courses with the same high school grades

but there is a significantdifference in the grades obtained bystudents in the twocourses, in part because BISC 100 has a lab

component and HSC1100 does not. Specifying the grades required for HSC1100 as C+ and BISC 100 as C- would mean that the

proportion of students able to use the two courses as a prerequisite is equal, and students are equally wellprepared for BISC 101.

Effective

term and year

JANUARY 2012

SFU

SENATE COMMITTEE ON

UNDERGRADUATE STUDIES

COURSE CHANGE/DELETION

EXISTINGCOURSE,CHANGES RECOMMENDED

Please

check

appropriate

revision(s):

G Course number

Credit

• Title

D Description

• Prerequisite

D Course deletion

• Learnin, Ou

Indicate number of hours for: Lecture _

FROM

BISC 102

Course

Subject

'Number,

—

Tutorial _.

Course Subject/Number

Credit.*.

Credits

TITLE

FROM:

(1)

LONG

title

for

calendar

and

schedule,

than

UK)

characters

including

to.

spaces

and

punctuator].

FROM:

(2)

SHORT

title

foi

enrollment

and

transcript,

than

characters

TQ:

including

-P

spaces

and

DESCRIPTION

FROM:

DESCRIPTION

TO:

PREREQUISITE

Does this course replicate the content ofa previously approved course to such an ext

If so. this hould be noted in the prerequisite.

FROM-

f-ROM.

oSSTtJffSmD^

ynue

oeuer,

blbO

100

eqUiVa'ent>

W'th

TQ:

fSSTn

gradn

better

Hl9h

52?

B|sc

1fJfJ

bi°,09y

wjm

{°r

GquiValent>

Wij"

with C+ or better.

LEARNING OUTCOMES

punctuation.

1115 Outcomes

Lab

vtent that student" shord not receive credit for both courses?

RATIONALE

^£eZ^^!^^^^:S^^^

ali9nCd With lhe «*"*« " •** 12 than BISC 100 and is

For

rt2S2SI!S

differences

grade

'hlsrlcourse

requirements:

th»r

studantaStudents

and

HSC1100want

increase

and

BISC

course

100

flexibility

enter

these

for

coursesstudents

but the.e Is a significant difference in the grades obtained hyshdents in the two

with

the same high school grades

proportion o, stodon.s aO,e ,o uso ft, two SSuSU. a! a pn»S*S h«3

Z m^J^S^SStSmSSt

Kllective term and •ear

nil fHHUer Fall 2013

JANUARY 2012

SFU

SCUS 12-21b

SENATE COMMITTEE ON

NEW COURSE PROPOSAL

UNDERGRADUATE STUDIES

1 OF 3 PAGES

COURSE NUMBER

MBB 471

- »

COURSE TITLE

LONG — for Calendar/schedule, no more than 100 characters including spaces and punciuation

atss

undergraduate colloquium

AND

SHORT — for enrollment/transcript, no more than 30 characters including spaces and punctuation

tt~t

Undergraduate Colloquium

CREDITS

Indicate numberof credits for: Lecture

Seminar

lhr

Tutorial

Lab

COURSE DESCRIPTION (FOR CALENDAR). 3-4 LINES (50-60 WORDS) MAXIMUM. ATTACH A COURSE OUTLINE TO THIS

PROPOSAL

Recent research articles on the molecular mechanisms underlying cellular activities or on the structure,

function and interactions of macromolecules

will be presented and discussed by students and faculty.

This course will be available for mbb undergraduates to take once for undergraduate credit and will be

offered in conjunction with mbb 821, 822, 823,861, 862, or 863.

prerequisite

Permission of the Instructor

corequisite

none

SPECIAL INSTRUCTIONS

That is, docs this course replicate the content of a previously-approved course to such an extent that students should not receive credit for both

courses.? If so, this should be

noted in the prerequisite.

This new course will allow undergraduate students in mbb to receive undergraduate credit for

participating in already established graduate colloquium courses that they cannot receive undergraduate

credit for.

COURSES(S) TO BE DELETED IF THIS COURSE IS APPROVED

NOTE: APPROPRIATE DOCUMENT FOR DELETION MUST BE SUBMITTED TO SCUS

none

RATIONALE FOR INTRODUCTION OF THIS COURSE

This is a one-credit elective course for advanced undergraduate students that will provide students with

an exceptional opportunity to participate in a

small colloquium course. While presentation of papers is

part of many of our 400 level courses, this would be an opportunity for a student to focus intensely on

the primary literature and participate in analysis and discussion with multiple faculty, graduate students

and other advanced undergraduate students.

SFU

SENATE COMMITTEE ON

NEW COURSE PROPOSAL

UNDERGRADUATE STUDIES

2 OF 3 PAGES

SCHEDULING AND ENROLLMENT INFORMATION

Indicate effective term and year course would first be offered and planned frequency of offering thereafter: Spring 2013 (1131)

(NOTE: There is a two-term wait for implementationof any new course.)

Indicate if there is a waiver required:

YES

Will this be a required or elective course in the curriculum? elective

What is the probable enrollment when offered? Estimate 1 or 2 students per semester

Which of your present CFL faculty have the expertise to offer this course?

This course is already being presented twice a year by various faculty as a graduate course and any MBB faculty would have the expertise

to facilitate the course.

Arc there any proposed student fees associated with this course other than tuition fees?

YES

(If yes, attach mandatory supplementary fee approval form.)

RESOURCE IMPLICATIONS

NOTE: Senate has approved (S.93-11) that no new course should be approved by Senate until funding has been committed for necessary library

materials. Each new course proposal must be accompanied by a library report and, if appropriate, confirmation that funding arrangements have

been addressed.

Campus where course will be taught

Burnaby

Library

report

status

approved

see

http://www.lib.sfu.ca/colIections/course-assessments

Provide details on how existing instructional resources will be redistributed to accommodate this new course. For example, will another course

be eliminated or will the frequency of offering of other courses be reduced; are there changes in pedagogical style or class sizes that allow tor this

additional course offering?

No courses will be eliminated.

List any outstanding resource issues to be addressed prior to implementation: space, laboratory equipment, etc: none

Articulation agreement reviewed?

YES „

Not applicable

OTHER IMPLICATIONS

NONE

SFU

APPROVALS

SENATE COMMITTEE ON

NEW COURSE PROPOSAL

UNDERGRADUATE STUDIES

3 OF 3 PAGES

Departmental approval indicates that the Department or School has approved the content of the course, and has consulted with

other

Departments/Schools/Faculties

regarding

proposed

course

content

and

overlap

issues.

Chair, DepartmentySchool

Date

/lerfl

2.7/24'

Chair/Fa£ulty

Curriculum

Committee

Date^

Faculty approval indicates that all the necessary course content and overlap concerns have been resolved, and that the

Faculty/School/Department commits to providing the required Library funds.

.^(K

-2J£Mh

Dean op4h*sjgnate

Date

LIST which other Departments, Schools and Faculties have been consulted regarding the proposed course content, including overlap i.ssues.

Attach documentary evidence of responses.

Other Faculties approval indicated that the Dean(s) or Designate of other Faculties AFFECTED by the proposed new course support(s) the

approval of the new course:

Date

SCUS approval indicates that the course has been approved for implementation subject, where appropriate, to financial issues

being addressed.

COURSE APPROVED BY SCUS (Chair of SCUS):

Date

Approval is signified by date and appropriate signature.

SCUS 12-21c

SFU

MEMORANDUM

Rick Routlcdgc

Department of Statistics and Actuarial Science

Simon FrascrUniversity

RoomK 10561

8888University Drive,Burnaby,

Canada V5A 1S6

TK1.778.782.4478

PAX 778.782.4368

ATTENTION

Dr. George Agnes, Associate Dean of Science,

Academic

FROM

Rick Roudedgc

Undergraduate Curriculum Revisions

DATE

March 1,2012

PAGES 1/1

roudcdg_at_stat.sfu.ca

www.stat.sfu.ca/~routledg

We are hereby submitting a proposal, approved at a meeting of the Department of Statistics and

Actuarial Science on February 10, 2012, for changes to the undergraduate major, honors, and

minor programs in statistics offered by the department. This includes associated changes to

several courses (deletions, additions, and alterations).

In addition to a major upgrading of the major and honors programs, the package contains a

substantive change to the statistics minor. The new version allows students to complete a minor

with a much stronger focus on applied techniques. We hope that this will provide a particularly

appealing opportunity for students majoring in

subjects in which statistical reasoning plays a

significant role.

The proposal also calls for changes to several graduate courses that are to be taught in parallel

with undergraduate courses, and these are also being forwarded to Dr. Peter Ruben.

Sincerely,

jfaji Itutwfa

Rick Routledge

cc. Dr. Peter Ruben, Associate Dean of Science, Research and Graduate Studies

Dr. Richard Lockhart, Chair, Department

of Statistics and Actuarial Science

Curriculum Revision Package:

Summary of Most Salient Features

February 10,2012

The Curriculum Review Committee

now has a formal package ready for departmental

discussion. Since the package is large, the committee has prepared the following list of

the most salient features. The committee welcomes all discussion - on these points and

others - at the upcoming meeting.

1. Changes to the BSc Major:

a. Addition of a mandatory course in statistical computing STAT 340.

b. Replacement of list of mandatory 400-level STAT requirements with a

more flexible requirement that students select at least 4 such courses, but of

their own choosing subject to advice from a departmental advisor.

c. Conversion of STAT 402-3 to STAT 475-3 with a shift of emphasis from

generalized linear modeling theory to discrete data analysis.

d. Addition of two new courses in applied statistical methodology, one each in

multivariate analysis (STAT 445) and time series analysis (STAT 485).

e. Deletion of STAT

400 +• js rAT?***

2. Changes to the BSc Honours:

a. Addition of a mandatory course in statistical computing STAT 340.

b. Retention of the list of required courses.

c. Conversion of STAT 402-3 to STAT 475-3 with a shift of emphasis from

generalized linear modeling theory to discrete data analysis.

d. Addition of two new courses in applied statistical methodology, one each in

multivariate analysis (STAT 445) and time series analysis (STAT 485).

e. Deletion of STAT 400. f~

SrAr^ot.

3. Changes to BSc Minor:

a. Major alteration of program to provide students with the opportunity to

complete a minor in statistics through courses in applied statistical

methodology.

4. Changes to Individual Courses:

a. STAT 285: The elimination of the small component on time series analysis

(to be taught more extensively in STAT 485) and updating of prerequisites.

b. STAT 340: New course in statistical computing.

c. STAT 380; Change of prerequisite.

d. STAT 400: Course to be cancelled.

e. STAT 402: Replaced by STAT 475.

f. «STAT 002. Companion couui to 402,replaced by STAT 675.

g. STAT 445: New course in applied multivariate analysis.

h. STAT 475: Revamped STAT 402, focusing on discrete data analysis

i. STAT 485: New course in time series analysis,

j. STAT 615, 675, nnri 685; new nompanion oourooo to the above three

available for graduate ctudcntc from other dcpartmetttef

Proposed Changes to Existing Courses

The department proposes changes to the following courses:

• STAT 285 (modification of syllabus and updating of prerequisite)

• STAT 380 (change of prerequisite)

Course change forms for both courses and a course outline for STAT 285 are appended.

SFU

SKNATK (."OMMITT 1:.B ON

U N

E RC RAD UA 1 L STUDIES

COURSE CHANGE/DELETION

EXISTING COURSE, CHANGES RECOMMENDED

Please rlicck appropriate revision(s):

I ICourse number

I ICredit

I ITicle

ulJ Description

SCUS 12-21 c IT

ulJ Prerequisite

I—I Course deletion

Tutorial

___ Lab

Indicate number of hours for: Lecture

FROM

Course Number

Credits (Units)

TITLE

(1) Long title for calendar and schedule, no more than 100 characters including spaces and punctuation.

FROM: Intermediate Probability and Statistics

TO:

STAT285

Seminar

Course Number

Credits (Units)

(2) Short title for enrollment and transeript.no more than 30 characters including spaces and punctuation.

FROM: Interm. Prob. and Statist.

T0:

DESCRIPTION

FROMThis course is a continuation of STAT 270. Review of

probability models; procedures for statistical inference from

survey results and experimental data. Statistical model

building. Elementary design of experiments and regression

methods. Introduction to lifetime analysis. Introduction to time

PREREQUISITE

FROM: STAT 270. Prerequisite or Corequisite MATH 232.

This course may not be taken for credit by students who have

credit for STAT 330 prior to the Fall 03-3 term.

RATIONALE

Extra material was added to this course several years ago primarily to meet accreditation requirements of the Society of

Actuaries. Subsequent experience has shown this to have been a flawed approach. The course was too packed. The

department proposes to rectify the situation by removing the extra material from STAT 285 and creating a new course, STAT

485, which will serve the needs of students in actuarial science, statistics, and other disciplines more effectively.

DESCRIPTION

TO:This course is a continuation of STAT 270. Review of

probability models; procedures for statistical inference from

survey results and experimental data. Statistical model

building. Elementary design of experiments and regression

methods. Introduction to categorical data analysis. Quantitati

PREREQUISITE

TO:STAT 270. Prerequisite or Corequisite MATH 232 or

MATH 240. This course may not be taken for credit by

students who have credit for STAT 330 prior to the Fall 2003.

Does this course replicate the content ofa previously approved course to such an extent that students should not receive credit for both courses?

IIso,thisshouldbe

noted in the prerequisite

Eff ctivc term and year

JANUARY 2008

SFU

SENATE COMMITTEE ON

COURSE CHANGE/DELETION

UNDERGRADUATE STUDIES

EXISTING COURSE, CHANGES RECOMMENDED

Please check appropriate revision(s):

• Course number

D Credit

Olule

• Description

13 Prerequisite

• Course deletion

Indicate number of hours for: Lecture

Seminar

Tutorial

Lab

FROM

STAT380

M .

Course Number

_ Course Number

Credits (Units)

, Credits (Units)

TITLE

(1) Long title for calendar and schedule, no more than 100 characters including spaces and punctuation.

FROM: Introduction to Stochastic Processes

TO:

(2) Short title for enrollment and transcript, no mor. than 30 characters including spaces and punctuation.

FROM:

T0;

DESCRIPTION

FROM:

TO:

PREREQUISITE

FROM: STAT285

TO: STAT330

RATIONALE

To reduce the substantial heterogeneity from two disparate levels of students: second-year Statistics majors who have just taken

STAT285 and are not yet comfortable with probability, and graduating Actuarial Science majors who have had extensive

exposure and practice with probability through ACMA335 and their SOA exams. Note that, due to entry restrictions on the

required Business courses, the Actuarial Science students try to get them out of the way first and leave STAT380 for the end of

their programme as a filler. (Checked with Math -- see notes from meeting withDave Muraki in March 2011 -- they have no

problem with this.)

Does this course replicate the content of a previously approved course to such an extent that studencs should not receive credit for both courses?

Ifso,this should be

noted in the prerequisite.

Effective term and year

—

JANUARY

200b'

SFU

SUN ATI! COMM1TTHK ON

UNDERGRADUATE STUDIES

COURSE CHANGE/DELETION

EXISTING COURSE, CHANGES RECOMMENDED

Please check appropriate revision(s):

I ICourse number

I—I Credit

I—N'itle

Indicate number of hours for: Lecture.

FROM

Course Number

Credits (Units).

TITLE

STAT400

SCUS 12-21c (ii)

I I Description

I I Prerequisite

__l Course deletion

Seminar

Tutorial

Lab

Course Number

Credits (Units).

(1) Long title for calendar and schedule, no more than 100 characters including spaces and punctuation.

FROM: Data Analysis

TO:

(2) Short title for enrollment and transcript, no more than 30 characters including spaces and punctuation.

FROM:

DESCRIPTION

FROM:

PREREQUISITE

FROM:

TO:

DESCRIPTION

TO:

PREREQUISITE

TO:

RATIONALE

The revisions to the department's undergraduate programs in statistics have refocused the emphasis on data analysis, and has

woven it more thoroughly into the curriculum. This has left a diminished role for STAT 400. To make the most effective use of

the department's limited teaching resources, the department recommends that STAT 400 be dropped from its list of course

offerings.

Does this course replicate die content of a previously approved course to such an extent that students should not receive credit for both course??

Ifso.thisshouldbe

noted in the prerequisite.

Effective term and year

JANUARY 200S

SFU

SENATE COMMITTEE ON

UNDERC RADUATE STUDIES

COURSE CHANGE/DELETION

EXISTING COURSE. CHANGES RECOMMENDED

Please check appropriate revision(s):

|~1 Course number

LJ Credit

LJ Title

LJ Description

LJ Prerequisite

__l Course deletion

Tutorial

Lab

Indicate number of hours for: Lecture.

FROM

Course Number

Credits (Units)

TITLE

(1) Long title for calendar and schedule, no more than 100 characters including spaces and punctuation.

FROM:

Generalized Linear and Nonlinear Modelling

TO:

STAT 402

Seminar

Course Number

Credits (Units).

(2) Short title for enrollment and transcript, no more than 30 characters including spaces and punctuation.

FROM:

DESCRIPTION

FROM:

PREREQUISITE

FROM:

TO:

DESCRIPTION

TO:

PREREQUISITE

TO:

RATIONALE

As part of the department's revision to its undergraduate programming, this course and STAT 602 are to be replaced by STAT

475/675. The existing courses (402/602) originally focused on the general methodology of generalized linear modelling. We now

defer this theoretical treatment to our graduate programs in statistics. The replacement courses emphasize the major

applications of this methodology to the

analysis of discrete data.

Does this couise replicate the content of a previously approved course to such an extent that students should not receive credit for both courses?

Ifso.this should be

noted in the prerequisite.

r.llcctive term and year

JANUARY 200fl

Proposed Course Additions

We propose adding the following courses to the department's offerings.

STAT 340-3

STAT475-3

SCUS 1 2-21 C (ill,

STAT 485-3

Proposal forms and course outlines are appended.

Associated

graduate

courses

included

for

supplementary

information

undergraduate

proposal.

SFU

COURSE NUMBER

COURSE TITLE

SENATE COMMITTEE ON

NEW COURSE PROPOSAL

UNDIiRCHADUATi; STUDIES

I Ol- 3 PAGES

STAT 340

LONG — for Calendar/schedule, no more than 100 characters including spaces and punctuation

Introduction to Statistical Computing and Exploratory Data Analysis

AND

SHORT — for enrollment/transcript, no more than 30 characters including spaces and punctuation

Intro, to

Stat. Comp. Dat. Anal.

CREDITS

Indicate number of credits for: Lecture

Seminar

___ Tutorial

Lab.

COURSE DESCRIPTION (FOR CALENDAR). 50-60 WORDS MAXIMUM. ATTACHA COURSE OUTLINE TO THIS PROPOSAL.

Statistical computing in R and SAS. Data management: reading, editing and storing statistical data; querying databases with

SQL. Data exploration and representation: summarizing data with tables, graphs and other statistical tools. Data simulation:

model-based and empirical. The SAS component of the course will give students a good start for writing the SAS programming

certification exams. Quantitative.

PREREQUISITE

STAT 285 or STAT 302 or STAT 305 or equivalent.

COREQUISITE

SPECIAL INSTRUCTIONS

That i ,

does

this course replicate the content of a previously approved course to such an extent that students should not receive credit for both

courses.? If so,this should be

noted in the prerequisiite.

COURSE(S) TO BE DELETED IF THIS COURSE IS APPROVED

NOTE: APPROPRIATE DOCUMENT FOR DELETION MUST BE SUBMITTED TO SCUS

None.

RATIONALE FOR INTRODUCTION OF THIS COURSE

With the advent of massive data sets, analyses of data are becoming more sophisticated. These analyses require data in a

variety of forms that are often stored in complex data structures, and a firm grasp of the foundational Ideas of Statistics. This

course will present the common methods for managing, exploring and preparing data for analyses; it will also emphasize

simulation experiments as a means to understand the foundational statistical concepts underlying all data analyses.

SFU

SENATE COMMITTEE ON

UNDERG RADUATE STUDIES

NEW COURSE PROPOSAL

2 OF 3 PACES

SCHEDULING AND ENROLLMENT INFORMATION

Indicate effective term and year course would first be offered and planned frequency of offering thereafter:

First Offering: Spring 2013;

Planned Frequency: Once per year

(NOTE:There is a two-term wait for implementation of any new course.)

Indicate if there is a waiver required: I |YES __— NO Will this be a required or elective course in the curriculum? L_J Required I—I F.lectiv

What is the probable enrollment when offered: Estimate

Which of your present CFL faculty have the expertise to offer this course?

Altman, Bingham, Campbell, Graham, Hu, Insley, Lockhart, Loughin, McNeney, Routledge, Schwarz, Swartz, Tang. Thompson

Are there any proposed student fees associated with this course other than tuition fees?

I—IYES

|£_ NO

(If yes, attach mandatory supplementary fee approval form.)

RESOURCE IMPLICATIONS

NOTE: Senate has approved (S.93-11) that no new course should be approved by Senate until funding has been committed for necessary library

materials. Each new course proposal must be accompanied by a library report and. if appropriate, confirmation that funding arrangements have been

addressed.

Campus where course will be taught

Burnaby and potentially Surrey.

Library report status.

The course is included in the list at http://www.lib.sfu.ca/collections/course-assessments

Provide details on how existing instructional resources will be redistributed to accommodate this new course. For example, will another course

be eliminated or will the frequency of offering of other courses be reduced; are there change; in pedagogical style or class sizes that allow for this

additional course offering?

This course is a key component to a major revision to the department's majors, honours, and minor programs in statistics. For

further information on instructional resources, please see accompanying information.

List any outstanding resource issues to be addressed prior to implementation: space, laboratory equipment, etc:

atm-emem reviewed?

[JyKS

I |NO

__ Not applicable

Articulation agre

OTHER IMPLICATIONS

SFU

APPROVALS

SENATE COMMITTEE ON

UNDERG RADUATB STLDIHS

NEW COURSE PROPOSAL

3 01' 3 I'AC-S

Departmental approval indicates that the Department or School has approved the content of the course, and has consulted with

other Departments/Schools/Faculties regarding proposed course content and overlap issues.

CRACKS—

7A7a^-l/ jgg<^

Chair, Department/School

Date

/L/u **<h z7/i ?iz=.

Chair, Eaxulty Curriculum Committee

Date

Faculty approval indicates that all the necessary course content and overlap concerns have been resolved, and that the

Faculty/School/Department commits to providing the required Library funds.

____

Dean

ozAernshat

M*-^yL 2-7/?s-±-

Date

LIST which other Departments. Schools and Faculties have been consulted regarding the proposed course content, including overlap issues. Attach

documentary evidence of responses.

Other Faculties approval indicated that the Dean(s) or Designate of other Faculties AFFECTED by the proposed new course support(s) the approval of

the new course:

Date

SCUS approval indicates that the course has been approved for implementation subject, where appropriate, to financial issues

being addressed.

COURSE APPROVED BY SCUS (Chair of SCUS):

____^

Date „__„____

___.

APPROVAL IS SIGNIFIED BY DATE AND APPROPRIATE SIGNATURE.

JANUARY 2008

"-/TV STAT340"3

****** 20**

jj41111 Hu statistical Computing and Exploratory Data Analysis

Day Course

Studentsrequiringaccommodations as a result of disability, mustcontact the Centrefor Studentswith Disabilities 778-782-3J12 or csdo@sfu.ca

Prerequisite:

STAT 285 or 302 or 305

CandidateTextbooks:

Supplementary Texts for R component -

A Beginner's Guide to R

by Zuur, Ieno and Meesters. Springer Verlag.

Data Manipulation With R

by Spector. Springer Verlag.

Supplementary Texts for SAS component -

Applied Statistics and theSASprogramming Language

by Cody and Smith.

LearningSASin the Computer Lab

by Elliot.

Extended Calendar Description:

This course aims to foster active experimentation with fundamental concepts in Statistics through the use of computing tools

such as R and SAS . After a brief introductionto the basics of data management,the focus will be on data exploration,

representation, and simulation asa means to understand foundational ideas, rather than on surveying statistical techniques

already covered in other courses. Data management: reading, editing and storing statistical data; querying databases with SQL.

Data exploration and representation: summarizing data with tables, graphs and other statistical tools. Data simulation: model-

based and empirical. The SAS component of the course will give students a good start for writing the SAS programming

certification exams. Quantitative.

Outline:

Part 1. R component

1. What is the R programming environment

- Downloading and installing

- Basics of writing R functions

- Basics of loops/if7while and other control-flow constructs

2. Data management in R

- Reading and writing data: plain text files and spreadsheets, other file formats

- UsingR to query databases with SQL

- Merging and re-shaping data

3. Data exploration and representation in R

- Graphical displays. Customizing and extending these displays for your own research purposes.

- Cross-tabulations and tests of association.

4. Data simulation and resampling in R

a. Generating dala from parametric distributions: uses in evaluating statistical procedures and in understanding classical

large-sample results.

Generating

data

resampling:

introduction

permutation,

bootstrapping,

cross-validation

and

their

uses.

Part 2. SAS component

1, What is SAS?

- Downloading and installing

- Overview of the system

2. Data management in SAS

a. Data input and structures

- DATA step

- Reading specially formatted files

- Date/time/character formats and manipulations

- Derived variables

- Exporting

b. Data access: from database systems using query languages

c. Merging and reshaping data

sorting/subsetting

(set/if/where

statements)/

merging/transposing

- processing using DO LOOPS and SAS arrays

- modify variable attributes

3. Data exploration and representation in SAS

- basic procs (print, plot, tabulate, means, univariate, freq)

- by statement and uses in analysis and simulation

- output delivery system to extract information from analyses

4. Data simulation in SAS

Grading Scheme:

Assignments - 20%

R Component Exam-40%

SAS Component Exam- 40%

Thegrading is subject to change.

Students should be aware that they have certain rights to confidentiality concerning the return of course papers and the

posting of marks. Please pay careful attention to the options discussed in class at the beginning of the semester. Students are

reminded that Academic Honesty is a cornerstone of the acquisition of knowledge. Scholarly integrity is required of all

members of the University. Please consult the General Guidelines of the calendar for more details.

Revised February 10,2012

Expected Student Learning Outcomes

Students will be able to do the following:

1. Install

SAS, R and contributed R packages on a computer.

2. Use R and

SAS to import/export data from/to a variety of sources and formats, including

plain-text files, spreadsheets and databases.

3. Write basic programs in R and SAS that use loops/i_while and other control-flow

constructs.

4. Use SQL to create and query a relational database.

5. Merge andreshape datain R and SAS

6. Implement and interpret a variety of data visualization tools including figures and tables,

and determine application specific modifications to emphasize key attribute.

7. Perform simulations in R and SAS to evaluate statistical procedures, understand

large-

sample results, carry out resampling-based inference, and do sample size calculations.

SFU

COURSE NUMBER

COURSE TITLE

SKNATIi COMMITTEE ON

NEW COURSE PROPOSAL

UNDERGRADUATE STUDIES

i (jf 3 1>ACLS

STAT 445

LONG — lor Calendar/schedule, no more than 100 characters including spaces and punctuation

Applied Multivariate Analysis

AND

SHORT — for enrollment/transcript, no more than 30 characters including spaces and punctuation

Applied Multivariate Analysis

CREDITS

Indicate number of credits for: Lecture

Seminar

Tutorial

Lab.

COURSE DESCRIPTION (FOR CALENDAR). 50-60 WORDS MAXIMUM. ATTACH A COURSE OUTLINE TO THIS PROPOSAL.

Introduction to principal components, cluster analysis, and other commonly used multivariate techniques. Quantitative.

PREREQUISITE

STAT 285 or STAT 302 or STAT 305 or equivalent.

COREQUISITE

SPECIAL INSTRUCTIONS

That is, does this course replicate the content of a previously approved course to such an extent that students should not receive credit for both

courses.? If so, this should be

noted in the prerequisiite.

COURSE(S) TO BE DELETED IF THIS COURSE IS APPROVED

NOTE: APPROPRIATE DOCUMENT FOR DELETION MUST BE SUBMITTED TO SCUS

None

RATIONALE FOR INTRODUCTION OF THIS COURSE

This course is urgently needed to meet the validation by educational experience (VEE) requirements of the Society of

Actuaries for the undergraduate program in actuarial mathematics. It will also serve as a valuable optional techniques course

in the department's undergraduate programs in statistics and for students from other disciplines.

SFU

SENATE COMMITTEE. ON

NEW COURSE PROPOSAL

UNDERGRADUATE STUDIES

2 OP 3 PACES

SCHEDULING AND ENROLLMENT INFORMATION

Indicate effective terin and year course would first be offered and planned frequency of offering thereafter:

First Offering-.Tnll iPTHP Planned Frequency: Twice every three years

(NOTE:Thcre is a two-term wait for implementation of any new course.)

Indicate if there is a waiver required: LJYES (ZJ NO Will this be a required or elective course in the curriculum? I—I Required LlJ Elective

What is the probable enrollment when offered? Estimate

Which of your present CFL faculty have the expertise to offer this course?

Altman, Bingham, Campbell, Graham, Hu, Insley, Lockhart, Loughin, McNeney, Parker, Routledge, Schwarz, Swartz, Tang,

Thompson

Are there any proposed student fees associated with this course other than tuition fees?

I—lYES

\xJ

(If yes. attach mandatory supplementary fee approval form.)

RESOURCE IMPLICATIONS

NOTE: Senate has approved (S.93-1 1) that no new course should be approved by Senate until funding has been committed for necessary library

material... Each new course proposal must be accompanied by a library report and. if appropriate, confirmation that funding arrangements have been

addressed.

Burnaby and possibly Surrey

Campus where course will betaught ,

•

—

The course is included in the listat http://www.lib.sfu.ca/collections/course-assessments

Library report status_

•—

Provide details on how existing instructional resources will be redistributed to accommodate this new course. For example, will another course

be eliminated or will the frequency of offering of other courses be reduced; are there changes in pedagogical style or class sizes that allow for this

additional course offering?

This course is a key component to a major revision to the department's majors, honours, and minor programs in statistics. For

further information on instructional resources, please see accompanying information.

List any outstanding resource issues to be addressed prior to implementation: space, laboratory equipment, etc:

Articulation agreement a viewed?

DyES

LZJnO

0 Not applicable

OTHER IMPLICATIONS

SFU

APPROVALS

SENATE COMMITTEE ON

NEW COURSE PROPOSAL

UNDERGRADUATE STUDIES

3 OF 3 PACES

Departmental approval indicates that the Department or School has approved the content of the course, and has consulted with

other Departmcnts/Schools/Faculties regarding proposed course content and overlap issues.

Date

Chair, Department/School

"^~^

Date

,Fa^ul^

Chair, Faeulti/Curriculum Committee

Date

Faculty approval indicates that all the necessary course content and overlap concerns have been resolved, and that the

Faculty/School/Department commits to providing the required Library funds.

/tf^g/

zy/pQ'-^

Dean ^r designate

Date

LIST which other Departments,Schools and Faculties have been consulted regarding the proposed course content, including overlap issues. Attach

documentary evidence of responses.

Other Faculties approval indicated that the Dean(s) or Designate of other Faculties AFFECTED by the proposed new course support(.) the approval of

the new course:

Date

SCUS approval indicates that the course has been approved for implementation subject, where appropriate, to financial issues

being addressed.

COURSE APPROVED BY SCUS (Chair of SCUS):

______—.

Date

APPROVAL IS SIGNIFIED BY DATE AND APPROPRIATE SIGNATURE.

[ANUARY 2008

"jfV STAT 445

Spring 2012

_jPT 1111 Nb, Applied Multivariate Analysis

Day Course

Students requiring accommodations as a result of disability, must contact the Centre for Students withDisabilities 778-782-3J12orcsdo@sfu.ca

Instructor:

Prerequisite:

STAT 285 or STAT 302 or 305 or equivalent.

Textbook:

To be identified.

Calendar Description:

Introduction

principal

components,

cluster

analysis,

and

other

commonly

used

multivariate

techniques.

Quantitative.

Outline:

1. Principal Components: Identification, use in multivariate regression, using

to perform the calculations. (-3 weeks)

2. Cluster Analysis: Survey of commonly used methods, computer calculations, graphical displays, and interpretation of

results. (~3 weeks)

3. Other commonly used multivariate techniques subject to interest and expertise of the students and instructor. Examples

include the following:

a. Ordination Techniques: Methodology and survey of common applications, computer calculations. (-2 weeks)

b. Discriminant Analysis: (~2 weeks)

c. Canonical Correlation Analysis: (~2 weeks)

4. Student Presentations of Substantive Applications. (~1 week)

Grading Scheme:

Assignments: 20%

Project: 20%

Midterm: 20%

Final: 40%

Grading is subject to change.

Students should be aware that they have certain rights to confidentiality concerning the return of course papers

and the posting of marks. Please pay careful attention to the options discussed in class at the beginning of the

semester. Students are reminded that Academic Honesty is a cornerstone of the acquisition of knowledge.

Scholarly integrity is required of all members of the University, Please consult the General Guidelines of the

calendar for more details.

Revised February 10, 2012

Expected Student Learning Outcomes

Students will be able to do the following:

1. Apply principal components to real data sets, and interpret the sources of variation.

2. Propose a reduced dimension subspace containing the important data structure for visualization and inference.

3. Apply clustering methods to determine natural groupings in the data and produce visual and/or numeric

justification for the appropriate number of clusters.

4. Explain differences in results between various clustering algorithms.

5. Implement supervised learning techniques for classifying groups.

6. Explain the meaning of joint distributions, covariance and conditional distributions in the context of

multivariate statistical inference.

SFU

C0UR5E NUMBER

COURSE TITLE

SKNATB COMMITTEE ON

NEW COURSE PROPOSAL

UNDERGRADUATE STUDIES

i of 3 PACES

STAT 475

LONG — for Calendar/schedule, no mure than 100 characters including spaces and punctuation

Applied Discrete Data Analysis

AND

SHORT — tor enrollment/transcript, no more than 30 characters including spaces and punctuation

Applied Discrete Data Analysis

CREDITS

Indicate number of credits for: Lecture

Seminar

Tutorial

Lab

COURSE DESCRIPTION (FOR CALENDAR).

50-60 WORDS MAXIMUM. ATTACH A COURSE OUTLINE TO THIS PROPOSAL.

Introduction to standard methodology for analyzing categorical data including chi-squared tests for two- and multi-way

contingency tables, logistic regression, and loglinear (Poisson) regression.

Quantitative.

PREREQUISITE

STAT 285 or STAT 302 or STAT 305 or equivalent. Students withcredit for the former STAT402 or 602 may not take this

course for further credit.

COREQUISITE

SPECIAL INSTRUCTIONS

That is, does this course implicate the content of a previously approved course to such an extent that students should not receive credit for both

courses.? If so,chisshould be

noted

in the

prerequisiite.

COURSE(S) TO BE DELETED IF THIS COURSE IS APPROVED

NOTE: APPROPRIATE DOCUMENT FOR DELETION MUST BE SUBMITTED TO SCUS

STAT 402.

RATIONALE FOR INTRODUCTION OF THIS COURSE

This course, along with STAT675, is part of a package designed to replace STAT402 and 602. The revised package

targets the primary applications of generalized linear modeling (the focus of the former package), and is more suitable for the

intended audience.

SFU

SENATE COMMITTEE ON

NEW COURSE PROPOSAL

UNDERGRADUATE STUDIES

2 OP 3 PAGE5

SCHEDULING AND ENROLLMENT INFORMATION

Indicate effective term and year course would first be olfered and planned frequency of offering thereafter:

First Offering: Spring 2013; Planned Frequency: Once per year

(NOTE.There is a two-term wait for implementation of any new course.)

Indicate if there is a waiver required: I |YF.S I2_l NO Will this be a required or elective course in the curriculum? L_J Required L__l Elect

. ,

What is the probable enrollment when olieredr Estimate

Which of yotU present CFL faculty have the expertise to offer this course?

Altman, Bingham, Campbell, Graham, Hu, Insley, Lockhart, Loughin, McNeney, Routledge, Schwarz, Swartz, Tang, Thompson

Are there any proposed student fees associated with this course other than tuition fees?

I—IYES

l__jNO

(If yes, attach mandatory supplementary fee approval form.)

RESOURCE IMPLICATIONS

NOTE:Senate has approved (S.93-1 I) that no new course should be approved by Senate until funding has been committed for necessary library

materials. Each new course proposal must be accompanied by a library report and, if appropriate, confirmation that funding arrangements have been

addressed.

Burnaby and possibly Surrey

Campus where course will be taught

The course is included in the list at http://www.lib.sfu.ca/collections/course-assessments

Library report status

Provide details on how existing instructional resources will be redistributed to accommodate this new course. For example, will another course

be eliminated or will the frequency of Offering of other courses be reduced; are there changes in pedagogical style or class sizes that allow for this

additional course offering?

This course is a key component to a major revision to the department's majors, honours, and minor programs instatistics. For

further information on instructional resources, please see accompanying information.

List any outstanding resource issues to be addressed prior to implementation: space, laboratory equipment, etc:

Articulation agreement reviewed?

I |YES

I |NO

[_j Not applicable

OTHER IMPLICATIONS

SFU

APPROVALS

SENATE COMMITTEE ON

UNDERG RADl'AT0 STUDIES

NEW COURSE PROPOSAL

3 OF 3 PAGES

Departmental approval indicates that the Department or School has approved the content of the course, and has consulted with

other Departments/Schools/Faculties regarding proposed course content and overlap issues.

Chair, Department/School

Date

n'r, Faxti

Date

Chair, FaxfultyjCurricuIum Committee

Faculty approval indicates that all the necessary course content and overlap concerns have been resolved, and that the

Faculty/School/Department commits to providing the required Library funds.

/4_W^27/_4^

Date

LIST which other Departments, Schools and Faculties have been consulted regarding the proposed course content, including overlap issues. Attach

documentary evidence of responses.

Other Faculties approval indicated that the Dean(s) or Designate of other Faculties AFFECTED by the proposed new course support(s) the approval of

the new course:

Date

SCUS approval indicates that the course has been approved for implementation subject, where appropriate, to financial issues

being addressed.

COURSE APPROVED BY SCUS (Chair of SCUS):

Date

APPROVAL IS SIGNIFIED BY DATE AND APPROPRIATE SIGNATURE.

ANUAHY 200S

"y('\

STAT 475

Semester

1111 Na. Applied Discrete Data Analysis

Day Course

Students requiring accommodations asa result ofdisability, must contact the Centre for Students with Disabilities 778-782-3112 or csdo@sju.ca

Instructor:

Prerequisite:

STAT 285 or STAT 302 or 305 or equivalent. Students with credit for STAT 402 or 602 may not take this course for further

credit.

Textbook (Optional):

An Introduction to Categorical Data Analysis, Td ed.,

by: Alan Agresti; publisher: Wiley.

Calendar Description:

Introduction to standard methodology for analyzing categorical data including chi-squared tests for two- and multi-way

contingency tables, logistic regression, and loglinear (Poisson) regression. Quantitative.

Outline:

This course introduces students to the most important methods for analyzing categorical data. The focus of the course is

twofold: classical methods in categorical data analysis, such as chi-squared tests, and logistic and loglinear (Poisson) regression

techniques.

1. Introduction and review

2. Two-way contingency table

3. Three-way contingency table

4. Logistic regression

5. Loglinear regression

6. Case studies

7. Further topics, including goodness-of-fit and model selection, and over-dispersion.

Grading Scheme:

Assignments - 20%

Project- 20%

Midterm - 20%

Final-40%

Grading is subject to change.

Students should be aware that they have certain rights to confidentiality concerning the return of course papers and the

posting of marks. Pleasepay carefulattention to the options discussed in class at the beginning of the semester. Students are

reminded that Academic Honesty is a cornerstone of the acquisition of knowledge. Scholarly integrity is required of all

members of the University. Please consult the General Guidelines of the calendarfor more details.

Revised February 10,2012

SFU

SHNATE COMMITTEE ON

UNDERG RA

0UATE

STU D1 ES

STAT 485

NEW COURSE PROPOSAL

1 ()1 3 PACES

COURSE NUMBER

COURSE TITLE

LONG — for Calendar/schedule, no more than 100 characters including spaces and punctuation

Applied Time Series Analysis

AND

SHORT — for enrollment/transcript, no more than 30 characters including spaces and punctuation

Appl. Time Series Anal.

CREDITS

Indicate number of credits for: Lecture

Seminar

Tutorial

Lab

COURSE DESCRIPTION (FOR CALENDAR). 50-60 WORDS MAXIMUM. ATTACH A COURSE OUTLINE TO THIS PROPOSAL.

Introduction to linear time series analysts including moving average, autoregressive and ARIMA models, estimation, data

analysis, forecasting errors and confidence intervals, conditional and unconditional models, and seasonal models. Quantitative.

PREREQUISITE

STAT 285 or STAT 302 or STAT 305 or equivalent. (This course may not be taken for further credit by students who have credit

for ECON 484.)

COREQUISITE

SPECIAL INSTRUCTIONS

That is. does this course replicate the content ofa previously approved course co such an extent that students should not receive credit for both

courses.? If so, this should be

noted in the prerequisiite.

C0URSEIS) TO BE DELETED IFTHIS COURSE IS APPROVED

NOTE: APPROPRIATE DOCUMENT FOR DELETION MUST BE SUBMITTED TO SCUS

None

RATIONALE FOR INTRODUCTION OF THIS COURSE

This course is urgently needed to meet the validation by educational experience (VEE) requirements of the Society of

Actuaries for the undergraduate program in actuarial mathematics. It will also serve as a valuable optional techniques course

in the department's undergraduate programs in statistics and for students from other disciplines.

SFU

SENATE COMMITTEE ON

NEW COURSE PROPOSAL

UNDERGRADUATE STUDIES

2 OF

PACES

SCHEDULING AND ENROLLMENT INFORMATION

Indicate effective term and year course would first be offered and planned frequency of offering thereafter:

First Offering:

£_•___&£-_£; Planned Frequency: Twice every three years

(NOTE:There is a two-term wait for implementation of any new course.)

Indicate if there is a waiver required: I |YES __J NO Will this be a required or elective course in the curriculum? I—I Required b_J Elective

What is the probable enrollment when ottered? Estimate

Which of your present CFL faculty have the expertise to offer this course?

Altman, Bingham, Campbell, Graham, Hu, Insley, Lockhart, Loughin, McNeney, Parker, Routledge, Schwarz, Swartz, Tang,

Thompson

Are there any proposed student fees associated with this course other than tuition fec_?

I lYES

L__JNO

(If yes,attach mandatory supplementary fee approval form.)

RESOURCE IMPLICATIONS

NOTE: Senate has approved (S.93-1 I) that no new course should be approved by Senate until funding has been committed for necessary library

materials. Each new course proposal must be accompanied by a library report and, if appropriate, confirmation that funding arrangements have been

addressed.

Burnaby and possibly Surrey

Campus where course will be taught

,..

The course is included in the list at http://www.lib.sfu.ca/collections/course-assessments

Library report status

Provide detailson how existing instructional resources will be redistributed to accommodate this new course. For example,will another course

be eliminated or will the frequency of offering of other courses be reduced; are there changes in pedagogical style or class sizes that allow for this

additional course offering?

This course is a key component to a major revision to the department'smajors, honours, and minor programs in statistics. For

further information on instructional resources, please see accompanying information.

List any outstanding resource issues to be addressed prior to implementation: space, laboratory equipnn nt, etc:

Articulation agreement reviewed?

I |YP.S

b-jNO

_/] Not applicable

OTHER IMPLICATIONS

SFU

SKNATIs COM M ITTli 11 ON

UNDERG RADUATlj STUPIDS

NEW COURSE PROPOSAL

1 OI: 1 l'ACl-S

APPROVALS

Departmental approval indicates that the Department or School has approved the content of the course, and has consulted with

other Departments/Schools/Faculties regarding proposed course content and overlap issues.

f/^tj^c/j

2.-H-?

Chair, Department/School

Date

-£

Chair, Facmjty Curriculum Committee

M*~J.*7/icv>.

Date

Faculty approval indicates that all the necessary course content and overlap concerns have been resolved, and that the

Faculty/School/Department commits to providing the required Library funds.

Date

Dean

designate

LIST which other Departments, Schools and Faculties have been consulted regarding the proposed course content, including overlap issues. Attach

documentaryevidenceof responses.

Other Faculties approval indicated that the Dean(s) or Designate of other Faculties AFFECTED by the proposed new course supports) the approval of

the new course:

Date

SCUS approval indicates that the course has been approved for implementation subject, where appropriate, to financial issues

being addressed.

COURSE APPROVED BY SCUS (Chair of SCUS):

Date

APPROVAL IS SIGNIFIED BY DATE AND APPROPRIATE SIGNATURE.

| AN WAR Y 200r!

8TVJ]V

jSa\

111

Applied

STAT485

Time

Series

Analysis

Spring

Day

Course

2012

Students requiring accommodations as a result of disability, must contact the Centre for Students withDisabilities 778-782-3112 or csdo@sfu.ca

Instructor:

Prerequisite:

STAT285 or STAT 302 or STAT 305. (This course may not be taken for further credit by students who already have credit for

ECON 484.)

Textbook:

Shumway, R.H., and Stoffer, D.S. 2000.

Time Series Analysis and Its Applications.

Springer: New York, NY.

Calendar

Description:

Introduction to linear time series analysis including moving average, autoregressiveand ARIMA models, estimation,

data analysis, forecasting errors and confidence intervals, conditional and unconditional models, and seasonal models.

Quantitative.

Outline:

1. Autocorrelation, seasonality, and trends in time series and their impacts on standard statistical inference

techniques. (~1 week)

2. Autoregressive models: definition, model formulation, and data analysis (~2 weeks)

3. Moving average models: definition model formulation, and data analysis (-2 weeks)

4. ARIMA models: definition, model formulation, and data analysis (~2 weeks)

5. Introduction to forecasting with linear time series models (~2 weeks)

6. Introduction to nonparametric fitting

of trends and cycles to time series data (~2 weeks)

7. Case studies and student presentations (~2 weeks)

Grading

Scheme:

Assignments: 10%

Project: 10%

Midterm: 30%

Final: 50%

Grading is subject to change.

Students should be aware that they have certain rights to confidentiality concerning the return

of course papers

and the posting

of marks. Please pay careful attention to the options discussed in class at the beginning of the

semester. Students are reminded that Academic Honesty is a cornerstone of the acquisition of knowledge.

Scholarly integrity is required of all members of the University. Please consult the General Guidelines of the

calendar for more details.

Revised February 10, 2012

SCUS 12-21 cliv)

Proposed Calendar Changes: BSc Major in Statistics

The Department of Statistics and Actuarial Science proposes the following changes to the

description of the BSc Major in Statistics in the academic calendar:

From:

Statistics Major Program (Bachelor of Science)

Department of Statistics and Acturarial Science \ Faculty of Science

Simon Fraser University Calendar 2012 Spring

The department offers a bachelor of science (BSc) program in statistics within the

Faculty of Science.

The program maintains a committee of advisors whose office hours are available at the

general office and at www.stat.sfu.ca. Students should seek advice early in their academic

careers about program planning from the department's advisors.

Admission Requirements

Students may be admitted by direct entry on their university application, or by application

to the Department of Statistics, after they have been admitted. Students applying for a

statistics minor must apply to the department.

Visithttp://www.stat.sni.ca/programmes/statistics/admission-continuation for admittance

and continuation requirements.

Courses for Further Credit

No student may complete, for further credit, any course offered by the Department of

Statistics and Actuarial Science which is a prerequisite for a course the student has

already completed with a grade

of C- or higher without permission of the department.

Computing Recommendation

Some experience with a high level programming language is recommended by the

beginning of the second year.

Prerequisite Grade Requirement

Students must have a grade of C- or better in prerequisites for STAT courses offered by

the Department of Statistics and Actuarial Science.

GPA Required for Continuation

To continue in the program, students must maintain at least a 2.25 grade point average in

MATH, STAT, MACM or ACMA courses.

Credit for Statistics Courses

Credit for STAT courses depends on the order in which the courses are completed. There

are three kinds of courses:

• • introductory course STAT 100

•

• service courses STAT 101,201,203, 301,302,403

•

• mainstream courses STAT 270,285, 300W, 330, 350, 380,400,410,430,450,

460

Once a service or mainstream course is completed, credit may not be obtained for STAT

100. Once a mainstream course is completed, credit may not be obtained for any service

course. An except is that both STAT 302 and 403 may be completed for credit after

completing STAT 270.

Program Requirements

Students complete 120 units, as specified below.

Lower Division Requirements

Students complete a total of 21-22 units, including one of

• CMPT-125-3 Introduction to Computing Science and Programming II

• CMPT 126-3 Introduction to Computer Science and Programming

and one of

• MATH 150-4 Calculus I with Review

• MATH 151-3 Calculus I

• MATH 154-3 Calculus I for the Biological Sciences

• MATH 157-3 Calculus for the Social Sciences I

and one of

• MATH 152-3 Calculus II

• MATH 155-3 Calculus II for the Biological Sciences

• MATH 158-3 Calculus for the Social Sciences II

and one of

• MATH 232-3 ElementaryLinearAlgebra

• MATH 240-3 Algebra I: Linear Algebra*

and all of

• MATH 251-3 Calculus III

• STAT 270-3 Introduction to Probability and Statistics

• STAT 285-3 Intermediate Probability and Statistics

♦recommended

Upper Division Requirements

Students complete a total of 30 units, including all of

STAT 330-3 Introduction to Mathematical Statistical

STAT 350-3 Linear Models in Applied Statistics

STAT 402-3 Generalized Linear and Nonlinear Modelling

STAT 410-3 Statistical Analysis of Sample Surveys

STAT 430-3 Statistical Design and Analysis of Experiments

STAT 450-3 Statistical Theory

and four additional upper division ACMA, MACM, MATH or STAT courses (excluding

STAT 301, 302,403). Consult an advisor before selecting these courses. The following

are recommended.

MACM 316-3 Numerical Analysis I

STAT 300W-3 Statistics Communication

STAT 380-3 Introduction to Stochastic Processes

STAT 400-3 Data Analysis

STAT 460-3 Bayesian Statistics

STAT 490-3 Selected Topics in Probability and Statistics

STAT 495-3 Directed Studies in Probability and Statistics

Minor Program Requirement

Students complete a minor in a discipline other than statistics. The certificate in actuarial

mathematics may fulfill this requirement.

Faculty of Science Requirements

In addition to the above requirements, students must also satisfy Faculty of Science major

program requirements to complete a total of 120 units including

• additional upper division units to total a minimum of 44 upper division units

(excluding EDUC 401,406)

• students who were enrolled at Simon Fraser University between fall 1991 and

summer 2006 are required to complete a minimum

of 12 units in subjects outside

the Faculty of Science (excluding EDUC 401 to 406) including six units

minimum to be completed in the Faculty of Arts and Social Sciences

Writing, Quantitative, and Breadth Requirements

Students admitted to Simon Fraser University beginning in the fall 2006 term must meet

writing, quantitative and breadth requirements as part of any degree program they may

undertake. See Writing. Quantitative, and Breadth Requirements for university-wide

information.

WQB Graduation Requirements

A grade of C- or better is required to earn W, Q or B credit.

Requirement Units Notes

Must include at least one upper division course,

taken at Simon Fraser University within the

student's major subject

Q courses may be lower or upper division

Must be outside the student's major

subject, and may be lower or upper

Designated division

Breadth

6 units Social Sciences: B-Soc

6 units Humanities: B-Hum

6 units Sciences: B-Sci

6 units outside the student's major

subject (may or may not be B-

designated courses, and will likely

help fulfill individual degree program

requirements)

Additional breadth units must be

from outside the student's major and

may be B-designated (B-Hum, B-

Soc, B-Sci courses). Students

choosing to complete a joint major,

joint honors, double major, two

extended minors, an extended minor

and a minor, or two minors may

satisfythe breadthrequirements

(designated or not designated) with

courses completed in either one or

both program areas.

W - Writing

Q - Quantitative

'B - Breadth

Additional

Breadth

Residency Requirements and Transfer Credit

The University's residency requirement stipulates that, in most cases, total transfer and

course challenge credit may not exceed 60 units, and may not include more than 15 units

as upper division work.

Elective Courses

In addition to the courses listed above, students should consult an academic advisor to

plan the remaining required elective courses.

To:

Statistics Major Program (Bachelor of Science)

Department of Statistics and Acturarial Science \ Faculty of Science

Simon Fraser University Calendar 2012 Fall

The department offers a bachelor of science (BSc) program in statistics within the

Faculty of Science.

The program maintains a committee of advisors whose office hours are available at the

general office and at www.stat.sfu.ca. Students should seek advice early in their academic

careers about program planning from the department's advisors.

Admission Requirements

Students may be admitted by direct entry on their university application, or by application

to the Department of Statistics, after they have been admitted. Students applying for a

statistics minor must apply to the department.

Visithttp://www.stat.sfu.ca/programmes/statistics/admission"Continuation

for

admittance

and continuation requirements.

Courses for Further Credit

No student may complete, for further credit, any course offered by the Department of

Statistics and Actuarial Science which is a prerequisite for a course the student has

already completed with a grade of C- or higher without permission of the department.

Computing Recommendation

Some experience with a high level programming language is recommended by the

beginning

of the second year.

Prerequisite Grade Requirement

Students must have a grade of C- or better in prerequisites for STAT courses offered by

the Department of Statistics and Actuarial Science.

GPA Required for Continuation

To continue in the program, students must maintain at least a 2.25 grade point average in

MATH, STAT, MACM or ACMA courses.

Credit for Statistics Courses

Credit for STAT courses depends on the order in which the courses are completed. There

are three kinds of courses:

•

• introductory course STAT 100

• • service courses STAT 101,201,203,301,302, 305,403

•

• mainstream courses STAT 270,285,300W, 330,340, 350,380,410,430,445,

450,460,475,485

Once a service or mainstream course is completed, credit may not be obtained for STAT

100. Once a mainstream course is completed, credit may not be obtained for any service

course.

An exception is that both STAT 302,305, and 403 may be completed for credit

after completing STAT 270.

Program Requirements

Students complete 120 units, as specified below.

Lower Division Requirements

Students complete a total of at least 21-22 units, including one of

CMPT-125-3 Introduction to Computing Science and Programming II

CMPT 126-3 Introduction to Computer Science and Programming

and one of

• MATH 150-4 Calculus I with Review

• MATH 151-3 Calculus I

• MATH 154-3 Calculus I for the Biological Sciences

• MATH 157-3 Calculus for the Social Sciences I

and one of

• MATH 152-3 Calculus II

• MATH 155-3 Calculus II for the Biological Sciences

• MATH 158-3 Calculus for the Social Sciences II

and one of

• MATH 232-3 Elementary Linear Algebra

• MATH 240-3 Algebra I: Linear Algebra*

and all of

• MATH 251-3 Calculus III

• STAT 270-3 Introduction to Probability and Statistics

•

STAT 285-3 Intermediate Probability and Statistics

♦recommended

Upper Division Requirements

Students complete a total of 30 units, including all of

• STAT 330-3 Introduction to Mathematical Statistics

• STAT 340-3 Statistical Computing and Exploratory Data Analysis

• STAT 350-3 Linear Models in Applied Statistics

and an additional 12 units in 400-level STAT courses

and 9 additional upper division units in ACMA, MACM, MATH or STAT courses

(excluding STAT 301, 302,305,403). Consult an advisor before selecting these courses.

The following are recommended.

MACM 316-3 Numerical Analysis I

STAT 300W-3 Statistics Communication

STAT 380-3 Introduction to Stochastic Processes

STAT 410-3 Statistical Analysis of Sample Surveys

STAT 430-3 Statistical Design and Analysis of Experiments

STAT 445-3 Applied Multivariate Analysis

STAT 450-3 Statistical Theory

STAT 460-3 Bayesian Statistics

• STAT 475-3 Applied Discrete Data Analysis

• STAT 485-3 Applied Time Series Analysis

• STAT 490-3 Selected Topics in Probability and Statistics

• STAT 495-3 Directed Studies in Probabilityand Statistics

Minor Program Requirement

Students complete a minor in a discipline other than statistics. The certificate in actuarial

mathematics may fulfill this requirement.

Faculty of Science Requirements

In addition to the above requirements, students must also satisfy Faculty of Science major

program requirements to completea total of 120 units including

• additional upper division units to total a minimum of 44 upper division units

(excluding EDUC 401,406)

• students who were enrolled at Simon Fraser University between fall 1991 and

summer 2006 are required to complete a minimum of 12 units in subjects outside

the Faculty of Science(excluding EDUC 401 to 406) including six units

minimum to be completed in the Faculty of Arts and Social Sciences

Writing, Quantitative, and Breadth Requirements

Students admitted to Simon Fraser University beginning in the fall 2006 term must meet

writing, quantitative and breadth requirements as part of any degree program they may

undertake.

See

Writing.

Quantitative,

and

Breadth

Requirements

for

university-wide

information.

WQB Graduation Requirements

A grade of C- or better is required to earn W, Q or B credit.

Requirement Units Notes

Must includeat least one upper divisioncourse,

W-Writing

taken at Simon Fraser University within the

student's major subject

Q - Quantitative

Q courses may be lower or upper division

Must be outside the student's major

subject, and may be lower or upper

lg Designated division

B - Breadth

Breadth

6 units Social Sciences: B-Soc

6 units Humanities: B-Hum

6 units Sciences: B-Sci

Additional 6 units outside the student's major

Breadth

subject (may or may not be B-

designated courses, and will likely

help fulfill individual degree program

requirements)

Additional breadth units must be

from outside the student's major and

may be B-designated

(B-Hum, B-

!Soc, B-Sci courses). Students

choosing to complete a joint major,

joint honors, double major, two

extended minors, an extended minor

and a minor, or two minors may

satisfy the breadth requirements

(designated or not designated) with

courses completed in either one or

both program areas.

Residency Requirements and Transfer Credit

The University's residency requirement stipulates that, in most cases, total transfer and

course challenge credit may not exceed 60 units, and may not include more than 15 units

as upper division work.

Elective Courses

In addition to the courses listed above, students should consult an academic advisor to

plan the remaining required elective courses.

Proposed Calendar Changes: BSc Honors in Statistics

The Department of Statistics and Actuarial Science proposes the following changes to the

description of the BSc Honors in Statistics in the academic calendar:

From:

Statistics Honours Program (Bachelor of Science)

Department of Statistics and Actuarial Science \ Faculty of Science

Simon Fraser University Calendar 2012 Spring

The department offers a bachelor of science (BSc) honours program in statistics within

the Faculty of Science.

The program maintains a committee of advisors whose office hours are available at the

general office and at www.stat.sfu.ca. Students should seek advice early in their academic

careers about program planning from the department's advisors.

Admission Requirements

Students may be admitted by direct entry on their university application, or by application

to the Department

of Statistics, after they have been admitted. Students applying for a

statistics minor must apply to the department. Visit

http://www.stat.sfu.ca/programmes/statistics/admission-continuationfor admittance and

continuation requirements.

Courses for Further Credit

No student may complete, for further credit, any course offered by the Department of

Statistics and Actuarial Science which is a prerequisite for a course the student has

already completed with a grade

of C- or higher without permission of the department.

Computing Recommendation

Some experience with a high level programming language is recommended by the

beginning

of the second year.

GPA Required for Continuation

To continue in the program, students must maintain at least a 3.00 grade point average

(GPA) in MATH, STAT, MACM or ACMA courses.

Credit for Statistics Courses

Credit for STAT courses depends on the order in which the courses are completed. There

are three kinds of courses:

• • introductory course STAT 100

•

• service courses STAT 101,201,203,301, 302,403

• • mainstream courses STAT 270,285, 300, 330, 350, 380,400,410,430,450,

460

Once a service or mainstream course is completed, credit may not be obtained for STAT

100. Once a mainstream course is completed, credit may not be obtained for any service

course. An exception is that both STAT 302 and 403 may be completed for credit after

completing STAT 270.

Program Requirements

Students complete 132 units, as specified below.

Lower Division Requirements

Students complete a total of 24-25 units, including one of

• CMPT-125-3 Introduction to Computing Science and Programming II

• CMPT 126-3 Introduction to Computer Science and Programming

and one of

• MATH 150-4 Calculus I with Review

• MATH 151-3 Calculus I

• MATH 154-3 Calculus I for the Biological Sciences

• MATH 157-3 Calculus for the Social Sciences I

and one of

• MATH 152-3 Calculus II

• MATH 155-3 Calculus II for the Biological Sciences

• MATH 158-3 Calculus for the Social Sciences II

and one of

• MATH 232-3 Elementary Linear Algebra

• MATH 240-3 Algebra I: Linear Algebra*

and all of

• MATH 242-3 Introduction to Analysis

• MATH 251-3 Calculus III

• STAT 270-3 Introduction to Probability and Statistics

• STAT 285-3 Intermediate Probability and Statistics

"•recommended

Upper Division Requirements

Students complete a total of 42 units, including all of

MATH 320-3 Advanced Calculus of One Variable

MATH 322-3 Complex Variables

STAT 330-3 Introduction to Mathematical Statistical

STAT 350-3 Linear Models in Applied Statistics

STAT 380-3 Introduction to Stochastic Processes

STAT 402-3 Generalized Linear and Nonlinear Modelling

STAT 410-3 Statistical Analysis of Sample Surveys

STAT 430-3 Statistical Design and Analysis of Experiments

STAT 450-3 Statistical Theory

STAT 460-3 Bayesian Statistics

and four additional upper division ACMA, MACM, MATH or STAT courses (excluding

STAT 301, 302,403). Consult an advisor before selecting these courses. The following

are recommended.

MACM 316-3 Numerical Analysis I

STAT 300W-3 Statistics Communication

STAT 400-3 Data Analysis

STAT 490-3 Selected Topics in Probability and Statistics

STAT 495-3 Directed Studies in Probability and Statistics

Minor Program Requirement

Students complete a minor in a discipline otherthan statistics. The certificate in actuarial

mathematics may fulfill this requirement.

Faculty of Science Requirements

In addition to the above requirements, students must also satisfy Faculty of Science

honours program requirements as follows.

• students are required to complete additional upper division units to total a

minimum of 60 upper division units (excluding EDUC 401,407)

• students who were enrolled at Simon Fraser University between fall 1991 and

summer 2006 are required to complete a minimum

of 12 units in subjects outside

the Faculty

of Science (excluding EDUC 401 to 407) including six units

minimum to be completed in the Faculty of Arts and Social Sciences

Writing, Quantitative, and Breadth Requirements

Students admitted to Simon Fraser University beginning in the fall 2006 term must meet

writing, quantitative and breadth requirements as part of any degree program they may

undertake. See Writing, Quantitative, and Breadth Requirements for university-wide

information.

WQB Graduation Requirements

A grade of C- or better is required to earn W, Q or B credit.

Requirement Units Notes

Must include at least one upper division course,

taken at Simon Fraser University within the

student's major subject

Q courses may be lower or upper division

Must be outside the student'smajor

subject, and may be lower or upper

Designated division

Breadth

6 units Social Sciences: B-Soc

6 units Humanities: B-Hum

6 units Sciences: B-Sci

6 units outside the student'smajor

subject (may or may not be B-

designated courses, and will likely

help fulfill individual degree program

requirements)

Additional breadth units must be

from outside the student's major and

may be B-designated (B-Hum, B-

Soc, B-Sci courses). Students

'choosingto complete a joint major,

joint honors, double major, two

extended minors, an extended minor

and a minor, or two minors may

satisfy the breadth requirements

(designated or not designated) with

courses completed in either one or

both program areas.

W - Writing

Q - Quantitative

B - Breadth

Additional

Breadth

Residency Requirements and Transfer Credit

The University's residency requirement stipulatesthat, in most cases, total transfer and

course challenge credit may not exceed 60 units, and may not include more than 15 units

as upper division work.

Elective Courses

In addition to the courses listed above, students should consult an academic advisor to

plan the remaining required elective courses.

To:

Statistics Honours Program (Bachelor of Science)

Department of Statistics and Actuarial Science \ Faculty of Science

Simon Fraser University Calendar 2012 Fall

The department offers a bachelor of science (BSc) honours program in statistics within

the Faculty of Science.

The program maintains a committee of advisors whose office hours are available at the

general office and at www.stat.sfu.ca. Students should seek advice early in their academic

careers about program planning from the department's advisors.

Admission Requirements

Students may be admitted by direct entry on their university application, or by application

to the Department of Statistics, after they have been admitted. Students applying for a

statistics minor must apply to the department. Visit

http://www.stat.sfu.ca/programmes/statistics/admission-continuationfor admittance and

continuation requirements.

Courses for Further Credit

No student may complete, for further credit, any course offered by the Department of

Statistics and Actuarial Science which is a prerequisite for a course the student has

already completed with a grade

of C- or higher without permission of the department.

Computing Recommendation

Some experience with a high level programming language is recommended by the

beginning of the second year.

GPA Required for Continuation

To continue in the program, students must maintainat least a 3.00 grade point average

(GPA) in MATH, STAT, MACM or ACMA courses.

Credit for Statistics Courses

Credit for STAT courses depends on the order in which the courses are completed. There

are three kinds of courses:

• introductory course STAT 100

• service courses STAT 101,201,203,301, 302, 305,403

• mainstream courses STAT 270,285,300,330, 340, 350, 380,410,430,445,450,

460,475,485

Once a service or mainstream course is completed, credit may not be obtained for STAT

100. Once a mainstream course is completed, credit may not be obtained for any service

course. An exception is that both

STAT 302,305, and 403 may be completed for credit

after completing STAT 270.

Program Requirements

Students complete 132 units, as specified below.

Lower Division Requirements

Students complete a total of at least 24-25 units, including one of

CMPT-125-3 Introduction to Computing Science and Programming II

CMPT 126-3 Introduction to Computer Science and Programming

and one of

• MATH 150-4 Calculus I with Review

• MATH 151-3 Calculus I

• MATH 154-3 Calculus I for the Biological Sciences

• MATH 157-3 Calculus for the Social Sciences I

and one of

• MATH 152-3 Calculus II

• MATH 155-3 Calculus II for the Biological Sciences

• MATH 158-3 Calculus for the Social Sciences II

and one of

• MATH 232-3 Elementary Linear Algebra

• MATH 240-3 Algebra I: Linear Algebra*

and all of

• MATH 242-3 Introduction to Analysis

• MATH 251-3 Calculus III

• STAT 270-3 Introduction to Probabilityand Statistics

• STAT 285-3 Intermediate Probability and Statistics

♦recommended

Upper Division Requirements

Students complete a total of 42 units, including all of

• MATH 320-3 Advanced Calculus of One Variable

• MATH 322-3 Complex Variables

• STAT 330-3 Introduction to Mathematical Statistics

• STAT 340-3 Statistical Computing and Exploratory Data Analysis

• STAT 350-3 Linear Models in Applied Statistics

• STAT 380-3 Introduction to Stochastic Processes

• STAT 410-3 Statistical Analysis of Sample Surveys

• STAT 430-3 Statistical Design and Analysis of Experiments

• STAT 450-3 Statistical Theory

• STAT 460-3 Bayesian Statistics

• STAT 475-3 Applied Discrete DataAnalysis

and 10additional credits in upper division ACMA, MACM, MATH or STAT courses

(excluding STAT 301, 302, 305,403). Consult an advisor before selecting these courses.

The following are recommended.

• MACM 316-3 Numerical Analysis I

• STAT 300W-3 Statistics Communication

• STAT 445-3 Applied Multivariate Analysis

• STAT 485-3 Applied Time

Series Analysis

• STAT 490-3 Selected Topics in Probability and Statistics

• STAT 495-3 Directed Studies in Probability and Statistics

Minor Program Requirement

Students complete a minor in a discipline other than statistics. The certificate in actuarial

mathematics may fulfill this requirement.

Faculty of Science Requirements

In addition to the above requirements, students must also satisfy Faculty of Science

honours program requirements as follows.

• students are required to complete additional upper division units to total a

minimum of 60 upper division units (excluding EDUC 401,407)

• students who were enrolled at Simon Fraser University between fall 1991 and

summer 2006 are required to complete a minimum of 12 units in subjects outside

the Faculty of Science (excluding EDUC 401 to 407) including six units

minimum to be completed in the Faculty of Arts and Social Sciences

Writing, Quantitative, and Breadth Requirements

Students admitted to Simon Fraser University beginning in the fall 2006 term must meet

writing, quantitative and breadth requirements as part of any degree program they may

undertake. See Writing. Quantitative, and Breadth Requirements for university-wide

information.

WQB Graduation Requirements

A grade of C- or better is required to earn W, Q or B credit.

Requirement Units Notes

Must include at least one upper division course,

taken at Simon Fraser University within the

student's major subject

Q courses may be lower or upper division

Must be outside the student'smajor

subject, and may be lower or upper

Designated division

Breadth

6 units Social Sciences: B-Soc

6 units Humanities: B-Hum

6 units Sciences: B-Sci

6 units outside the student'smajor

subject (may or may not be B-

designated courses, and will likely

help fulfill individual degree program

requirements)

Additional breadth units must be

from outside the student's major and

may be B-designated (B-Hum, B-

Soc, B-Sci courses). Students

choosing to complete a joint major,

joint honors, double major, two

extended minors, an extended minor

and a minor, or two minors may

satisfy the breadth requirements

(designated or not designated) with

courses completed in either one or

both program areas.

W - Writing

Q - Quantitative

B - Breadth

Additional

Breadth

Residency Requirements and Transfer Credit

The University's residency requirement stipulates that, in most cases, total transfer and

course challenge credit may not exceed 60 units, and may not include more than 15 units

as upper division work.

Elective Courses

In addition to the courses listed above, students should consult an academic advisor to

plan the remaining required elective courses.

SCUS 12-21civ)

Proposed Calendar Changes: Minor in Statistics

The Department of Statistics and Actuarial Science proposes the following changes to its Minor

in Statistics. The most salientfeature of this proposal is that, unlike the existing minor, it provides

students with an opportunity to complete the Minor through a program of study that focuses on

application-oriented courses thatdonot delve deeply intotheunderlying mathematical theory.

Proposed changes to the academic calendar descriptions are as follows:

From:

Statistics Minor Program

Department of Statistics and Actuarial Science \ Faculty of Science

Simon Fraser University Calendar 2012 Spring

Program Requirements

Lower Division Requirements

Students complete a total of 18-19 units, including one of

• MATH 150-4 Calculus I withReview

• MATH 151-3 Calculus I

• MATH 154-3 Calculus I for the Biological Sciences

• MATH 157-3 Calculus for the Social Sciences I

and one of

. MATH 152-3 Calculus II

• MATH 155-3 Calculus II for the Biological Sciences

• MATH 158-3 Calculus for the Social Sciences II

and one of

• MATH 232-3 Applied Linear Algebra

MATH 240-3 Algebra I; Linear Algebra

and all of

• MATH 251-3 Calculus III

• STAT 270-3 Introduction to Probability and Statistics

• STAT 285-3 IntermediateProbability and Statistics

Upper Division Requirements

Students complete a total of 15 units from the following courses:

ACMA 315-3 Credibility Theory and Loss Distributions

ACMA 320-3 Actuarial Mathematics I

ACMA 335-3 Risk Theory

ACMA 445-3 Loss Models: Estimation and Selection

ACMA 490-3 Special Topics in Actuarial Science

STAT 300W-3 Statistics Communication

STAT 330-3 Introduction to Mathematical Statistics*

STAT 350-3 Linear Models in Applied Statistics*

STAT 380-3 Introduction to Stochastic Processes

STAT 400-3 Data Analysis

STAT 402-3 Generalized Linear and Nonlinear Modelling

STAT 410-3 Statistical Analysis of Sample Surveys

STAT 430-3 Statistical Design and Analysis of Experiments

STAT 450-3 Statistical Theory

STAT 460-3 Decision Analysis and Bayesian Inference

STAT 490-3 Special Topics in Probability and Statistics

STAT 495-3 Directed Studies in Probability and Statistics

*recommended

Faculty of Science Requirements

Statistics minor candidates are subject to the general regulations of the faculty in which

they are enrolled (either the Faculty of Arts and Social Sciences, or the Faculty of

Science)

To:

Statistics Minor Program

Department of Statistics and Actuarial Science \ Faculty of Science

Simon Fraser University Calendar 2012 Fall

Program Requirements

Lower Division Requirements

Students complete one of

• MATH 150-4 Calculus I with Review

• MATH 151-3 Calculus I

• MATH 154-3 Calculus I for the Biological Sciences

• MATH 157-3 Calculus for the Social Sciences I

and one of

• MATH 152-3 Calculus II

• MATH 155-3 Calculus II for the Biological Sciences

• MATH 158-3 Calculus for the Social Sciences II

and one of

• STAT 101-3

• STAT 201-3

• STAT 203-3

• *STAT270-3

Upper Division Requirements

Students complete a total of 15 units including one of

. STAT 302-3

• STAT 305-3

. *STAT350-3

and at least two further upper division courses labeled STAT.

The remainder of the 15 required units may be completed using a combination of further

STAT courses and other courses focusing on statistical inference or related study design

or quantitative reasoning that do not overlap substantially with other courses that the

student is using to fulfill the requirements of the Minor. Recommended STAT courses are

listed below. The eligibility of other courses will be at the discretion of a departmental

student advisor.

STAT 340-3 Statistical Computing and Exploratory Data Analysis

STAT 403-3 Intermediate Sampling and Experimental Design

STAT445-3 Applied Multivariate Analysis

STAT475-3 Applied Logistic andPoisson Regression

STAT 485-3 Applied Time Series Analysis

Other

recommended

courses

requiring

extensive

prerequisites:

*STAT

300W-3

Statistics

Communication

*STAT 350-3 Linear Models in Applied Statistics

*STAT

410-3

Statistical

Analysis

Sample

Surveys

*STAT 430-3 Statistical Design and Analysis of Experiments

*STAT 460-3 Decision Analysis and Bayesian Inference

Faculty Requirements

Statistics minor candidates are subject to the general regulations of the faculty in which

they are enrolled.

Courses with a more mathematical focus, most of which require extra prerequisites.