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Statistics and Actuarial Science Simon Fraser University Calendar | Fall 2018

Statistics Major

Bachelor of Science

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 www.stat.sfu.ca/teaching/advising.html. Students should seek program planning advice early in their academic careers.

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.

Visit http://www.stat.sfu.ca/undergrad/undergrad_admission/undergrad_admission_stat.html to view admission requirements.

Courses for Further Credit

No student may complete, for further credit, any course offered by the Department of Statistics and Actuarial Science that is a prerequisite for a course that the student has already completed with a grade of C- or higher without permission of the department.

Computing Recommendation

Experience with a high level programming language is recommended by the start of the second year.

Prerequisite Grade Requirement

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

GPA Required for Continuation

To continue in the program, students must maintain at least a 2.25 grade point average in MATH, STAT, MACM and ACMA courses (excluding ACMA 210 if doing so results in a higher GPA).

Graduation Grade Point Averages

See required GPA for graduation from the Statistics major program.

Credit for Statistics Courses

There are three kinds of courses:

  • Introductory course (STAT 100)
  • Service courses (STAT 101, 201, 203, 302, 305, 403)
  • Mainstream courses (STAT 240, 270, 285, 300W, 330, 341, 342, 350, 380, 410, 430, 440, 445, 450, 452, 460, 475, 485)

Accreditation of Courses

The Statistical Society of Canada has accredited certain courses within the department for partial fulfillment of the educational requirements for the associate statistician (AStat) designation. The list of accredited courses is available at https://ssc.ca/sites/ssc/files/data/Accredited/Courses-SFU-summary-2015-01-06.pdf. Please contact the department for details. Further information on the professional statistician (PStat) and associate statistician (AStat) designations is available at https://www.ssc.ca/en/accreditation.

Program Requirements

Students complete 120 units, including the lower division, upper division, and additional upper division requirements specified below.

Lower Division Requirements

Students complete the following courses:

One of*

CMPT 102 - Introduction to Scientific Computer Programming (3)

A programming course which will provide the science student with a working knowledge of a scientific programming language and an introduction to computing concepts, structured programming, and modular design. The student will also gain knowledge in the use of programming environments including the use of numerical algorithm packages. Corequisite: MATH 152 or 155 (or 158). Students with credit for CMPT 120, 128, 130 or 166 may not take this course for further credit. Students who have taken CMPT 125, 129 or 135 first may not then take this course for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Brian Funt
Mo, We, Fr 9:30 AM – 10:20 AM
ASB 9838, Burnaby
CMPT 120 - Introduction to Computing Science and Programming I (3) **

An elementary introduction to computing science and computer programming, suitable for students with little or no programming background. Students will learn fundamental concepts and terminology of computing science, acquire elementary skills for programming in a high-level language and be exposed to diverse fields within, and applications of computing science. Topics will include: pseudocode, data types and control structures, fundamental algorithms, computability and complexity, computer architecture, and history of computing science. Treatment is informal and programming is presented as a problem-solving tool. Prerequisite: BC Math 12 or equivalent is recommended. Students with credit for CMPT 102, 128, 130 or 166 may not take this course for further credit. Students who have taken CMPT 125, 129, 130 or 135 first may not then take this course for further credit. Quantitative/Breadth-Science.

Section Instructor Day/Time Location
D100 Diana Cukierman
Mo, We, Fr 10:30 AM – 11:20 AM
AQ 3182, Burnaby
D101 Diana Cukierman
Th 12:30 PM – 1:20 PM
ASB 9838, Burnaby
D102 Diana Cukierman
Th 12:30 PM – 1:20 PM
ASB 9838, Burnaby
D103 Diana Cukierman
Th 1:30 PM – 2:20 PM
ASB 9838, Burnaby
D104 Diana Cukierman
Th 1:30 PM – 2:20 PM
ASB 9838, Burnaby
D105 Diana Cukierman
Th 4:30 PM – 5:20 PM
ASB 9838, Burnaby
D106 Diana Cukierman
Th 4:30 PM – 5:20 PM
ASB 9838, Burnaby
D107 Diana Cukierman
Fr 8:30 AM – 9:20 AM
ASB 9838, Burnaby
D108 Diana Cukierman
Fr 8:30 AM – 9:20 AM
ASB 9838, Burnaby
D200 Diana Cukierman
Mo, We, Fr 2:30 PM – 3:20 PM
AQ 3181, Burnaby
D201 Diana Cukierman
Fr 10:30 AM – 11:20 AM
ASB 9838, Burnaby
D202 Diana Cukierman
Fr 10:30 AM – 11:20 AM
ASB 9838, Burnaby
D203 Diana Cukierman
Fr 11:30 AM – 12:20 PM
ASB 9838, Burnaby
D204 Diana Cukierman
Fr 11:30 AM – 12:20 PM
ASB 9838, Burnaby
D205 Diana Cukierman
Fr 12:30 PM – 1:20 PM
ASB 9838, Burnaby
D206 Diana Cukierman
Fr 12:30 PM – 1:20 PM
ASB 9838, Burnaby
D207 Diana Cukierman
Fr 1:30 PM – 2:20 PM
ASB 9838, Burnaby
D208 Diana Cukierman
Fr 1:30 PM – 2:20 PM
ASB 9838, Burnaby

and one of*

CMPT 125 - Introduction to Computing Science and Programming II (3) ***

A rigorous introduction to computing science and computer programming, suitable for students who already have some background in computing science and programming. Intended for students who will major in computing science or a related program. Topics include: fundamental algorithms; elements of empirical and theoretical algorithmics; abstract data types and elementary data structures; basic object-oriented programming and software design; computation and computability; specification and program correctness; and history of computing science. Prerequisite: CMPT 120. Corequisite: CMPT 127. Students with credit for CMPT 126, 129, 135 or CMPT 200 or higher may not take for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Igor Shinkar
Tu 2:30 PM – 4:20 PM
Th 2:30 PM – 3:20 PM
AQ 3181, Burnaby
AQ 3182, Burnaby
CMPT 129 - Introduction to Computing Science and Programming for Mathematics and Statistics (3)

A second course in computing science and programming intended for students studying mathematics, statistics or actuarial science and suitable for students who already have some background in computing science and programming. Topics include: a review of the basic elements of programming: use and implementation of elementary data structures and algorithms; fundamental algorithms and problem solving; basic object-oriented programming and software design; computation and computabiiity and specification and program correctness. Prerequisite: CMPT 102 or CMPT 120. Students with credit for CMPT 125 or 135 may not take this course for further credit. Quantitative.

and one of

MATH 150 - Calculus I with Review (4)

Designed for students specializing in mathematics, physics, chemistry, computing science and engineering. Topics as for Math 151 with a more extensive review of functions, their properties and their graphs. Recommended for students with no previous knowledge of Calculus. In addition to regularly scheduled lectures, students enrolled in this course are encouraged to come for assistance to the Calculus Workshop (Burnaby), or Math Open Lab (Surrey). Prerequisite: Pre-Calculus 12 (or equivalent) with a grade of at least B+, or MATH 100 with a grade of at least B-, or achieving a satisfactory grade on the Simon Fraser University Calculus Readiness Test. Students with credit for either MATH 151, 154 or 157 may not take MATH 150 for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Pedro Cipriano Feijao
Mo, Tu, We, Fr 8:30 AM – 9:20 AM
SSCB 9200, Burnaby
D200 Veselin Jungic
Mo, We, Fr 9:30 AM – 10:20 AM
We 1:30 PM – 2:20 PM
SUR 3170, Surrey
SUR 3170, Surrey
OP01
TBD
OP02
TBD
MATH 151 - Calculus I (3)

Designed for students specializing in mathematics, physics, chemistry, computing science and engineering. Logarithmic and exponential functions, trigonometric functions, inverse functions. Limits, continuity, and derivatives. Techniques of differentiation, including logarithmic and implicit differentiation. The Mean Value Theorem. Applications of differentiation including extrema, curve sketching, Newton's method. Introduction to modeling with differential equations. Polar coordinates, parametric curves. Prerequisite: Pre-Calculus 12 (or equivalent) with a grade of at least A, or MATH 100 with a grade of at least B, or achieving a satisfactory grade on the Simon Fraser University Calculus Readiness Test. Students with credit for either MATH 150, 154 or 157 may not take MATH 151 for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Nils Bruin
Mo, We, Fr 8:30 AM – 9:20 AM
RCB IMAGTH, Burnaby
D200 Zhaosong Lu
Mo, We, Fr 9:30 AM – 10:20 AM
SUR 3310, Surrey
OPO1
TBD
OPO2
TBD
MATH 154 - Calculus I for the Biological Sciences (3)

Designed for students specializing in the biological and medical sciences. Topics include: limits, growth rate and the derivative; elementary functions, optimization and approximation methods, and their applications; mathematical models of biological processes. Prerequisite: Pre-Calculus 12 (or equivalent) with a grade of at least B, or MATH 100 with a grade of at least C, or achieving a satisfactory grade on the Simon Fraser University Calculus Readiness Test. Students with credit for either MATH 150, 151 or 157 may not take MATH 154 for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Yusuf Tuncer
Mo, We, Fr 8:30 AM – 9:20 AM
SSCC 9001, Burnaby
D200 Mahsa Faizrahnemoon
Mo, We, Fr 9:30 AM – 10:20 AM
SUR 2600, Surrey
OP01
TBD
OP02
TBD
MATH 157 - Calculus I for the Social Sciences (3)

Designed for students specializing in business or the social sciences. Topics include: limits, growth rate and the derivative; logarithmic, exponential and trigonometric functions and their application to business, economics, optimization and approximation methods; introduction to functions of several variables with emphasis on partial derivatives and extrema. Prerequisite: Pre-Calculus 12 (or equivalent) with a grade of at least B, or MATH 100 with a grade of at least C, or achieving a satisfactory grade on the Simon Fraser University Calculus Readiness Test. Students with credit for either MATH 150, 151 or 154 may not take MATH 157 for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Petra Menz
Mo, We, Fr 11:30 AM – 12:20 PM
SSCC 9001, Burnaby
D200 Michel Virgilio
Mo, We, Fr 12:30 PM – 1:20 PM
SUR 5280, Surrey
OP01
TBD
OP02
TBD

and one of

MATH 152 - Calculus II (3)

Riemann sum, Fundamental Theorem of Calculus, definite, indefinite and improper integrals, approximate integration, integration techniques, applications of integration. First-order separable differential equations and growth models. Sequences and series, series tests, power series, convergence and applications of power series. Prerequisite: MATH 150 or 151; or MATH 154 or 157 with a grade of at least B. Students with credit for MATH 155 or 158 may not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Ralf Wittenberg
Mo, We, Fr 8:30 AM – 9:20 AM
SWH 10081, Burnaby
OP01
TBD
MATH 155 - Calculus II for the Biological Sciences (3)

Designed for students specializing in the biological and medical sciences. Topics include: the integral, partial derivatives, differential equations, linear systems, and their applications; mathematical models of biological processes. Prerequisite: MATH 150, 151 or 154; or MATH 157 with a grade of at least B. Students with credit for MATH 152 or 158 may not take this course for further credit. Quantitative.

MATH 158 - Calculus II for the Social Sciences (3)

Designed for students specializing in business or the social sciences. Topics include: theory of integration, integration techniques, applications of integration; functions of several variables with emphasis on double and triple integrals and their applications; introduction to differential equations with emphasis on some special first-order equations and their applications; sequences and series. Prerequisite: MATH 150 or 151 or 154 or 157. Students with credit for MATH 152 or 155 may not take MATH 158 for further credit. Quantitative.

and

STAT 180 - Career Development Seminar for Statistics and Actuarial Science (1)

A seminar primarily for students undertaking a major or an honors program in Statistics. Visiting speakers share experience relevant to Statistics students and provide useful education and career advice. Prerequisite: Enrollment, or intended enrollment, in the Statistics or Actuarial Science major or honours programs, or STAT 270, or permission of the instructor. Students with credit for MSSC 180 or DATA 180 may not take this course for further credit.

Section Instructor Day/Time Location
E100 Michael Davis
Tu 6:30 PM – 8:20 PM
AQ 3149, Burnaby

and one of

MATH 232 - Applied Linear Algebra (3)

Linear equations, matrices, determinants. Introduction to vector spaces and linear transformations and bases. Complex numbers. Eigenvalues and eigenvectors; diagonalization. Inner products and orthogonality; least squares problems. An emphasis on applications involving matrix and vector calculations. Prerequisite: MATH 150 or 151; or MACM 101; or MATH 154 or 157, both with a grade of at least B. Students with credit for MATH 240 make not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Adam Dyck
Mo, We, Fr 11:30 AM – 12:20 PM
RCB IMAGTH, Burnaby
D200 JF Williams
Mo, We, Fr 3:30 PM – 4:20 PM
SUR 3170, Surrey
OP01
TBD
OP02
TBD
MATH 240 - Algebra I: Linear Algebra (3) ****

Linear equations, matrices, determinants. Real and abstract vector spaces, subspaces and linear transformations; basis and change of basis. Complex numbers. Eigenvalues and eigenvectors; diagonalization. Inner products and orthogonality; least squares problems. Applications. Subject is presented with an abstract emphasis and includes proofs of the basic theorems. Prerequisite: MATH 150 or 151; or MACM 101; or MATH 154 or 157, both with a grade of at least B. Students with credit for MATH 232 cannot take this course for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Michael Monagan
Mo 11:30 AM – 12:20 PM
We, Fr 11:30 AM – 12:20 PM
AQ 3154, Burnaby
AQ 3153, Burnaby
OPO1
TBD

and all of

MATH 251 - Calculus III (3)

Rectangular, cylindrical and spherical coordinates. Vectors, lines, planes, cylinders, quadric surfaces. Vector functions, curves, motion in space. Differential and integral calculus of several variables. Vector fields, line integrals, fundamental theorem for line integrals, Green's theorem. Prerequisite: MATH 152; or MATH 155 or MATH 158 with a grade of at least B. Recommended: It is recommended that MATH 240 or 232 be taken before or concurrently with MATH 251. Quantitative.

Section Instructor Day/Time Location
D100 David Muraki
Mo, We 8:30 AM – 9:20 AM
Fr 8:30 AM – 9:20 AM
AQ 3182, Burnaby
AQ 3182, Burnaby
D200 Sepehr Foroushani
Mo, We, Fr 8:30 AM – 9:20 AM
SUR 3310, Surrey
D300 Jamie Mulholland
Mo, We, Fr 8:30 AM – 9:20 AM
WMC 2830, Burnaby
OP01
TBD
OP02
TBD
STAT 240 - Introduction to Data Science (3)

Introduction to modern tools and methods for data acquisition, management, and visualization capable of scaling to Big Data. Prerequisite: Any STAT course (except STAT 100) or BUEC 232, and one of CMPT 102, CMPT 120, CMPT 125, CMPT 128, CMPT 129, CMPT 130, or permission of the instructor. Quantitative.

STAT 270 - Introduction to Probability and Statistics (3)

Basic laws of probability, sample distributions. Introduction to statistical inference and applications. Prerequisite: or Corequisite: MATH 152 or 155 or 158. Students wishing an intuitive appreciation of a broad range of statistical strategies may wish to take STAT 100 first. Quantitative.

Section Instructor Day/Time Location
C100 Distance Education
D100 Gaitri Yapa
Mo, We 9:30 AM – 10:20 AM
Fr 9:30 AM – 10:20 AM
SWH 10081, Burnaby
WMC 3520, Burnaby
OP01
TBD
STAT 285 - Intermediate Probability and Statistics (3)

This course is a continuation of STAT 270. Review of probability models. Procedures for statistical inference using survey results and experimental data. Statistical model building. Elementary design of experiments. Regression methods. Introduction to categorical data analysis. Prerequisite: STAT 270. Quantitative.

Section Instructor Day/Time Location
D100 Joan Hu
Tu 2:30 PM – 4:20 PM
Th 2:30 PM – 3:20 PM
AQ 3150, Burnaby
BLU 9660, Burnaby
D101 Joan Hu
Th 3:30 PM – 4:20 PM
AQ 2104, Burnaby
D102 Joan Hu
Th 4:30 PM – 5:20 PM
AQ 2104, Burnaby
D103 Joan Hu
Th 5:30 PM – 6:20 PM
AQ 2104, Burnaby

* Students are strongly encouraged to complete this requirement in their first year.

** Recommended. Students with prior computing experience may be able to challenge CMPT 120.

*** CMPT 127 is a corequisite.

**** Recommended.

Upper Division Requirements

List A: STAT 380, STAT 390, STAT 410, STAT 430, STAT 440, STAT 450, STAT 460, STAT 490, STAT 495

Students complete all of

STAT 330 - Introduction to Mathematical Statistics (3)

Review of probability and distributions. Multivariate distributions. Distributions of functions of random variables. Limiting distributions. Inference. Sufficient statistics for the exponential family. Maximum likelihood. Bayes estimation, Fisher information, limiting distributions of MLEs. Likelihood ratio tests. Prerequisite: STAT 285, MATH 251, and one of MATH 232 or MATH 240. Quantitative.

Section Instructor Day/Time Location
D100 Steven Thompson
Mo 10:30 AM – 12:20 PM
We 10:30 AM – 11:20 AM
AQ 3159, Burnaby
AQ 3153, Burnaby
D101 Steven Thompson
Mo 8:30 AM – 9:20 AM
AQ 2122, Burnaby
D102 Steven Thompson
Mo 9:30 AM – 10:20 AM
AQ 2122, Burnaby
D103 Steven Thompson
We 9:30 AM – 10:20 AM
WMC 2503, Burnaby
L100
TBD
STAT 341 - Introduction to Statistical Computing and Exploratory Data Analysis - R (2)

Introduces the R statistical package. Data management; reading, editing and storing statistical data; data exploration and representation; summarizing data with tables, graphs and other statistical tools; and data simulation. Prerequisite: STAT 285 or STAT 302 or STAT 305 or BUEC 333 or equivalent. Students with credit for STAT 340 may not take STAT 341 for further credit.

STAT 342 - Introduction to Statistical Computing and Exploratory Data Analysis - SAS (2)

Introduces the SAS statistical package. Data management; reading, editing and storing statistical data; data exploration and representation; summarizing data with tables, graphs and other statistical tools; and data simulation. Prerequisite: STAT 285 or STAT 302 or STAT 305 or BUEC 333. Students with credit for STAT 340 may not take STAT 342 for further credit.

Section Instructor Day/Time Location
D100 Michael Davis
Th 12:30 PM – 2:20 PM
BLU 9660, Burnaby
D101
Fr 1:30 PM – 2:20 PM
BLU 10655, Burnaby
D102
Fr 2:30 PM – 3:20 PM
BLU 10655, Burnaby
D103
Fr 3:30 PM – 4:20 PM
BLU 10655, Burnaby
D104
Mo 4:30 PM – 5:20 PM
AQ 5016, Burnaby
STAT 350 - Linear Models in Applied Statistics (3)

Theory and application of linear regression. Normal distribution theory. Hypothesis tests and confidence intervals. Model selection. Model diagnostics. Introduction to weighted least squares and generalized linear models. Prerequisite: STAT 285, MATH 251, and one of MATH 232 or MATH 240. Quantitative.

Section Instructor Day/Time Location
D100 Gamage Perera
Tu 11:30 AM – 1:20 PM
Th 11:30 AM – 12:20 PM
WMC 3210, Burnaby
SWH 10041, Burnaby
D101 Gamage Perera
Tu 1:30 PM – 2:20 PM
RCB 5125, Burnaby
D102 Gamage Perera
Fr 9:30 AM – 10:20 AM
RCB 6101, Burnaby
D103 Gamage Perera
Fr 10:30 AM – 11:20 AM
RCB 5125, Burnaby

and 12 units in upper division STAT courses (including a minimum of two courses on List A, and excluding STAT 302, STAT 305, and STAT 403)

and 9 units in additional upper division ACMA, MACM, MATH or STAT courses (excluding STAT 302, STAT 305, STAT 403). Upper division STAT courses and MACM 316 are recommended.

For students who wish to seek accreditation with the Statistical Society of Canada, STAT 450 and at least one of STAT 410 or STAT 430 are recommended.

Additional Upper Division Requirements

Students must complete 13 additional upper division units to satisfy university requirements. Any upper division courses other than STAT 302, STAT 305, or STAT 403 may be used to complete these units.

University Degree Requirements

Students must also satisfy University degree requirements for degree completion.

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
W - Writing

6

Must include at least one upper division course, taken at Simon Fraser University within the student’s major subject
Q - Quantitative

6

Q courses may be lower or upper division
B - Breadth

18

Designated Breadth Must be outside the student’s major subject, and may be lower or upper division
6 units Social Sciences: B-Soc
6 units Humanities: B-Hum
6 units Sciences: B-Sci

6

Additional Breadth 6 units outside the student’s major subject (may or may not be B-designated courses, and will likely help fulfil individual degree program requirements)

Students choosing to complete a joint major, joint honours, 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

  • At least half of the program's total units must be earned through Simon Fraser University study.
  • At least two thirds of the program's total upper division units must be earned through Simon Fraser University study.

Elective Courses

In addition to the courses listed above, students should consult an academic advisor to plan the remaining required elective courses.