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Statistics and Actuarial Science | Faculty of Science Simon Fraser University Calendar | Spring 2020

Statistics Minor

Admission Requirements

Students may be admitted to the Statistics minor program by application to the Department of Statistics after admission to SFU. See admission requirements.

Courses for Further Credit

Once a STAT course has been completed with a grade of C- or higher, STAT courses that are prerequisites to this course may not be taken for further credit without permission of the department.

Prerequisite Grade Requirement

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

Graduation Grade Point Averages

See required GPA for graduation from the Statistics minor program.

Program Requirements

Lower Division Requirements

Students complete 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 Veselin Jungic
Mo, We, Fr 8:30 AM – 9:20 AM
AQ 3182, Burnaby
D101
Tu 8:30 AM – 9:20 AM
WMC 3535, Burnaby
D102
Tu 9:30 AM – 10:20 AM
WMC 3535, Burnaby
D103
We 2:30 PM – 3:20 PM
WMC 3535, Burnaby
D104
We 1:30 PM – 2:20 PM
WMC 3535, Burnaby
D200 Natalia Kouzniak
Mo, We, Fr 11:30 AM – 12:20 PM
SUR 3170, Surrey
D201
We 1:30 PM – 2:20 PM
SUR 3240, Surrey
D202
We 2:30 PM – 3:20 PM
SUR 3240, 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.

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 Matthew DeVos
Mo, We, Fr 8:30 AM – 9:20 AM
SSCB 9200, Burnaby
OP01
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
Mo, We, Fr 11:30 AM – 12:20 PM
AQ 3182, Burnaby
D200 Natalia Kouzniak
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 Steven Ruuth
Mo, We, Fr 8:30 AM – 9:20 AM
SSCC 9001, Burnaby
D200
Mo, We, Fr 11:30 AM – 12:20 PM
SRYE 1002, Surrey
D300 Brenda Davison
Mo, We, Fr 8:30 AM – 9:20 AM
WMC 3253, Burnaby
OP01
TBD
OP02
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.

Section Instructor Day/Time Location
D100 Luis Goddyn
Mo, We, Fr 8:30 AM – 9:20 AM
RCB IMAGTH, Burnaby
D200
Mo, We, Fr 9:30 AM – 10:20 AM
SRYC 2600, Surrey
OP01
TBD
OP02
TBD
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.

Section Instructor Day/Time Location
E100 Petra Menz
Mo 4:30 PM – 5:20 PM
We 4:30 PM – 6:20 PM
SSCB 9201, Burnaby
SSCB 9200, Burnaby
OP01
TBD
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 Randall Pyke
Mo, We, Fr 11:30 AM – 12:20 PM
SSCC 9001, Burnaby
D200 JF Williams
Mo, We, Fr 9:30 AM – 10:20 AM
SRYE 1002, 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 Stephen Choi
Mo, We, Fr 11:30 AM – 12:20 PM
AQ 3159, Burnaby
OP01
TBD

and one of

BUS 232 - Data and Decisions I (4)

An introduction to business statistics with a heavy emphasis on applications and the use of EXCEL. Students will be required to use statistical applications to solve business problems. Prerequisite: MATH 150, MATH 151, MATH 154, or MATH 157; 15 units. MATH 150, MATH 151, MATH 154, or MATH 157 may be taken concurrently with BUS 232. Students with credit for BUEC 232 may not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Nathaniel Payne
Tu 8:30 AM – 10:20 AM
Th 8:30 AM – 10:20 AM
SSCB 9201, Burnaby
SSCB 9201, Burnaby
D200 George Zhang
Tu, Th 8:30 AM – 10:20 AM
SUR 5240, Surrey
E100 Nathaniel Payne
Tu, Th 5:30 PM – 7:20 PM
RCB IMAGTH, Burnaby
OP01
Tu 10:30 AM – 12:20 PM
WMC 2301, Burnaby
OP02
Th 10:30 AM – 2:20 PM
WMC 2301, Burnaby
OP03
We 11:30 AM – 3:20 PM
WMC 2301, Burnaby
OP07
Tu 7:30 PM – 10:20 PM
WMC 2301, Burnaby
OP08
Th 7:30 PM – 8:20 PM
WMC 2301, Burnaby
OP09
We 6:30 PM – 10:20 PM
WMC 2301, Burnaby
OP10
Mo 5:30 PM – 7:20 PM
WMC 2301, Burnaby
OP11
Tu 10:30 AM – 12:20 PM
SUR 3050, Surrey
OP12
Th 10:30 AM – 12:20 PM
SUR 3050, Surrey
STAT 201 - Statistics for the Life Sciences (3)

Research methodology and associated statistical analysis techniques for students with training in the life sciences. Intended to be particularly accessible to students who are not specializing in Statistics. Prerequisite: Recommended: 30 units. Students cannot obtain credit for STAT 201 if they already have credit for - or are taking concurrently - STAT 101, 203, 205, 285, or any upper division STAT course. Quantitative.

Section Instructor Day/Time Location
C900 Tim Swartz
Distance Education
D900 Sessional
Tu 1:30 PM – 2:20 PM
Th 12:30 PM – 2:20 PM
SRYE 1002, Surrey
SRYE 1002, Surrey
OP09
TBD
STAT 203 - Introduction to Statistics for the Social Sciences (3)

Descriptive and inferential statistics aimed at students in the social sciences. Scales of measurement. Descriptive statistics. Measures of association. Hypothesis tests and confidence intervals. Students in Sociology and Anthropology are expected to take SA 255 before this course. Intended to be particularly accessible to students who are not specializing in Statistics. Prerequisite: Recommended: 30 units including a research methods course such as SA 255, CRIM 220, POL 200, or equivalent. Students cannot obtain credit for STAT 203 if they already have credit for - or are taking concurrently - STAT 101, 201, 205, 285, or any upper division STAT course. Quantitative.

Section Instructor Day/Time Location
C900 Tim Swartz
Distance Education
D100 Gaitri Yapa
Mo 12:30 PM – 2:20 PM
We 12:30 PM – 1:20 PM
SSCC 9002, Burnaby
SSCC 9002, Burnaby
OP01
TBD
STAT 205 - Introduction to Statistics (3)

The collection, description, analysis and summary of data, including the concepts of frequency distribution, parameter estimation and hypothesis testing. Intended to be particularly accessible to students who are not specializing in Statistics. Prerequisite: Recommended: 30 units. Students cannot obtain credit for STAT 205 if they already have credit for - or are taking concurrently - STAT 101, 201, 203, 285, or any upper division STAT course. 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
C900 Tim Swartz
Distance Education
D100 Scott Pai
Mo, We, Fr 9:30 AM – 10:20 AM
SSCC 9002, Burnaby
D900 Scott Pai
Tu 8:30 AM – 10:20 AM
Th 8:30 AM – 9:20 AM
SRYC 2750, Surrey
SRYC 2750, Surrey
OP01
TBD
OP09
TBD

and all of

STAT 260 - Introductory R for Data Science (2)

An introduction to the R programming language for data science. Exploring data: visualization, transformation and summaries. Data wrangling: reading, tidying, and data types. No prior computer programming experience required. Prerequisite: One of STAT 201, STAT 203, STAT 205, STAT 270, BUS 232, or POL 201 with a grade of at least C- or permission of the instructor. Corequisite: STAT 261. Students who have taken STAT 341 or STAT 360 first may not then take this course for further credit.

STAT 261 - Laboratory for Introductory R for Data Science (1)

A hands-on application of the R programming language for data science. Using the R concepts covered in STAT 260, students will explore (visualize, transform, and summarize) and wrangle (read and tidy) data. No prior computer programming experience required. Prerequisite: One of STAT 201, STAT 203, STAT 205, STAT 270, BUS 232, or POL 201 with a grade of at least C- or permission of the instructor. Corequisite: STAT 260. Students who have taken STAT 341 or STAT 360 first may not then take this course for further credit.

Upper Division Requirements

Students complete a total of 15 units, including exactly one of

ECON 333 - Statistical Analysis of Economic Data (4)

An introduction to the use and interpretation of statistical analysis in the context of data typical of economic applications. Students with a minimum grade of A- in BUS (or BUEC) 232 or STAT 270 can take ECON 333 after 30 units. Students seeking permission to enroll based on their BUS (or BUEC) 232 or STAT 270 grade must contact the Undergraduate Advisor in Economics. Prerequisite: ECON 103 or 200; ECON 105 or 205; BUS (or BUEC) 232 or STAT 270; MATH 157; 60 units. Students with credit for BUEC 333 may not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Bertille Antoine
We 2:30 PM – 5:20 PM
SSCC 9000, Burnaby
D101
Th 9:30 AM – 10:20 AM
AQ 2120, Burnaby
D102
Th 10:30 AM – 11:20 AM
WMC 2260, Burnaby
D103
Th 11:30 AM – 12:20 PM
AQ 2120, Burnaby
D104
Th 1:30 PM – 2:20 PM
RCB 5120, Burnaby
D105
Th 2:30 PM – 3:20 PM
AQ 2122, Burnaby
D200 Xiaoting Sun
Tu 8:30 AM – 10:20 AM
Th 8:30 AM – 9:20 AM
SSCC 9000, Burnaby
SSCC 9000, Burnaby
D201
We 8:30 AM – 9:20 AM
RCB 8106, Burnaby
D202
We 9:30 AM – 10:20 AM
AQ 4125, Burnaby
D203
We 11:30 AM – 12:20 PM
AQ 2120, Burnaby
D204
We 12:30 PM – 1:20 PM
WMC 3251, Burnaby
D205
We 1:30 PM – 2:20 PM
WMC 3515, Burnaby
STAT 302 - Analysis of Experimental and Observational Data (3)

The standard techniques of multiple regression analysis, analysis of variance, and analysis of covariance, and their role in observational and experimental studies. This course may not be used to satisfy the upper division requirements of the Statistics major or honours program. Prerequisite: One of STAT 201, STAT 203, STAT 205, STAT 270, or BUEC 232. Quantitative.

Section Instructor Day/Time Location
C900 Tim Swartz
Distance Education
D100 Marie Loughin
Tu 11:30 AM – 1:20 PM
Th 11:30 AM – 12:20 PM
SSCB 9200, Burnaby
SSCB 9200, Burnaby
OP01
TBD
STAT 305 - Introduction to Biostatistical Methods for Health Sciences (3)

Intermediate statistical techniques for the health sciences. Review of introductory concepts in statistics and probability including hypothesis testing, estimation and confidence intervals for means and proportions. Contingency tables and the analysis of multiple 2x2 tables. Correlation and regression. Multiple regression and model selection. Logistic regression and odds ratios. Basic concepts in survival analysis. This course may not be used to satisfy the upper division requirements of the Statistics major or honours program. Prerequisite: One of STAT 201, STAT 203, STAT 205, STAT 270, or BUEC 232. Quantitative.

Section Instructor Day/Time Location
D100 Sessional
Mo 2:30 PM – 4:20 PM
We 2:30 PM – 3:20 PM
RCB IMAGTH, Burnaby
SSCB 9200, Burnaby
OP01
TBD
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.

A minimum of 11 of the 15 upper division units must be completed using STAT courses other than STAT 310, STAT 311, and STAT 320. The remaining 4 units may be substituted with upper division non-STAT units that focus on statistical inference, study design, or quantitative reasoning, such as BUS 336. The eligibility of other non-STAT courses will be at the discretion of departmental advisors. Recommended STAT courses are listed below.

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.

STAT 360 - Advanced R for Data Science (2)

Advanced R programming methods for data science. Tools for reproducible research. Version control. Data structures, subsetting, functions, environments, and debugging. Functional programming. Code performance: profiling, memory, integrating R and C++. Prerequisite: One of STAT 260 or STAT 341 and one of STAT 302, STAT 305, STAT 350, or ECON 333. CMPT 125 or CMPT 129 is also recommended. Corequisite: STAT 361.

STAT 361 - Laboratory for Advanced R for Data Science (1)

A hands-on application of advanced R programming methods for data science. Using the R concepts covered in STAT 360 and tools for reproducible research, students will work with different data structures, write functions, and debug and optimize the performance of their code. Prerequisite: One of STAT 260 or STAT 341 and one of STAT 302, STAT 305, STAT 350, or ECON 333. CMPT 125 or CMPT 129 is also recommended. Corequisite: STAT 360.

STAT 403 - Intermediate Sampling and Experimental Design (3)

A practical introduction to useful sampling techniques and intermediate level experimental designs. This course may not be used to satisfy the upper division requirements of the Statistics major or honours program. Prerequisite: STAT 302, 305 or 350 or BUEC 333. Students with credit for STAT 410 or 430 may not take STAT 403 for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Boxin Tang
Tu 2:30 PM – 4:20 PM
Th 2:30 PM – 3:20 PM
AQ 3005, Burnaby
AQ 3005, Burnaby
D101 Boxin Tang
We 3:30 PM – 4:20 PM
WMC 3210, Burnaby
STAT 445 - Applied Multivariate Analysis (3)

Introduction to principal components, cluster analysis, and other commonly used multivariate techniques. Prerequisite: STAT 285 or STAT 302 or STAT 305 or BUEC 333 or equivalent. Quantitative.

Section Instructor Day/Time Location
E100 Brad McNeney
Tu 4:30 PM – 6:20 PM
Th 4:30 PM – 5:20 PM
AQ 3181, Burnaby
AQ 3181, Burnaby
E101 Brad McNeney
Th 5:30 PM – 6:20 PM
AQ 5008, Burnaby
E102 Brad McNeney
Th 6:30 PM – 7:20 PM
RCB 5120, Burnaby
E103 Brad McNeney
Mo 12:30 PM – 1:20 PM
WMC 3511, Burnaby
E104 Brad McNeney
Mo 1:30 PM – 2:20 PM
RCB 5120, Burnaby
E105 Brad McNeney
Mo 2:30 PM – 3:20 PM
AQ 5035, Burnaby
STAT 452 - Statistical Learning and Prediction (3)

An introduction to the essential modern supervised and unsupervised statistical learning methods. Topics include review of linear regression, classification, statistical error measurement, flexible regression and classification methods, clustering and dimension reduction. Prerequisite: STAT 302 or STAT 305 or STAT 350 or BUEC 333 or equivalent. Quantitative.

STAT 475 - Applied Discrete Data Analysis (3)

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. Prerequisite: STAT 302 or STAT 305 or STAT 350 or BUEC 333 or equivalent. Students with credit for the former STAT 402 or 602 may not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Thomas Loughin
Tu 10:30 AM – 11:20 AM
Th 9:30 AM – 11:20 AM
AQ 3005, Burnaby
AQ 3005, Burnaby
D101 Thomas Loughin
We 2:30 PM – 3:20 PM
AQ 5035, Burnaby
D102 Thomas Loughin
We 3:30 PM – 4:20 PM
WMC 3511, Burnaby
D103 Thomas Loughin
We 4:30 PM – 5:20 PM
WMC 3511, Burnaby
D104 Thomas Loughin
We 5:30 PM – 6:20 PM
WMC 3511, Burnaby
STAT 485 - Applied Time Series Analysis (3)

Introduction to linear time series analysis including moving average, autoregressive and ARIMA models, estimation, data analysis, forecasting errors and confidence intervals, conditional and unconditional models, and seasonal models. Prerequisite: STAT 285 or STAT 302 or STAT 305 or BUEC 333 or equivalent. This course may not be taken for further credit by students who have credit for ECON 484. Quantitative.

Faculty Requirements

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

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.