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Statistics and Actuarial Science Simon Fraser University Calendar | Spring 2018

Statistics Minor

Admission Requirements

Students wishing to do a statistics minor must apply to the department. Visit http://www.stat.sfu.ca/undergrad/undergrad_admission/undergrad_admission_stat.html to view admission requirements.

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
C100 Distance Education
D100
Mo, Tu, We, Fr 8:30 AM – 9:20 AM
WMC 3520, Burnaby
D200
Mo, We, Fr 11:30 AM – 12:20 PM
We 1:30 PM – 2:20 PM
SUR 2750, Surrey
SUR 2750, 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 Ladislav Stacho
Mo 8:30 AM – 9:20 AM
We, Fr 8:30 AM – 9:20 AM
SSCB 9200, Burnaby
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; functions of several variables. 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 Luis Goddyn
Mo, Fr 11:30 AM – 12:20 PM
We 11:30 AM – 12:20 PM
SWH 10081, Burnaby
DFA 300, Burnaby
D200 Natalia Kouzniak
Mo, We, Fr 12:30 PM – 1:20 PM
SUR 3090, 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 Brenda Davison
Mo, We, Fr 8:30 AM – 9:20 AM
SSCC 9001, Burnaby
D200
Mo, We, Fr 11:30 AM – 12:20 PM
SUR 5280, Surrey
D300
Mo, We, Fr 8:30 AM – 9:20 AM
WMC 2810, 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 Petr Lisonek
Mo, We, Fr 8:30 AM – 9:20 AM
RCB IMAGTH, Burnaby
D200 Natalia Kouzniak
Mo, We, Fr 9:30 AM – 10:20 AM
SUR 5280, Surrey
OP01
TBD
OP02
TBD
MATH 158 - Calculus II for the Social Sciences (3)

Theory of integration and its applications; introduction to multivariable calculus with emphasis on partial derivatives and their applications; introduction to differential equations with emphasis on some special first-order equations and their applications to economics and social sciences; continuous probability models; 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 Michael Monagan
Mo 4:30 PM – 5:20 PM
We 4:30 PM – 6:20 PM
SSCC 9001, Burnaby
SSCC 9001, Burnaby
OP01
TBD

and one of

STAT 101 - 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. Students cannot obtain credit for STAT 101 if they already have credit for - or are taking concurrently - STAT 201, 203, 285, or any upper division STAT course. Quantitative.

Section Day/Time Location
C100 Distance Education
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. Students cannot obtain credit for STAT 201 if they already have credit for - or are taking concurrently - STAT 101, 203, 285, or any upper division STAT course. Quantitative.

Section Instructor Day/Time Location
C100 Distance Education
D900 Jack Davis
Tu 1:30 PM – 2:20 PM
Th 12:30 PM – 2:20 PM
SUR 2600, Surrey
SUR 2600, 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: a research methods course such as SA 255, CRIM 220, POL 213 or equivalent is recommended prior to taking STAT 203. Students cannot obtain credit for STAT 203 if they already have credit for - or are taking concurrently - STAT 101, 201, 285, or any upper division STAT course. Quantitative.

Section Instructor Day/Time Location
C100 Distance Education
D100
Mo 12:30 PM – 2:20 PM
We 12:30 PM – 1:20 PM
SSCB 9201, Burnaby
SSCB 9201, Burnaby
OP01
TBD
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 Boxin Tang
Mo 9:30 AM – 10:20 AM
We, Fr 9:30 AM – 10:20 AM
EDB 7618, Burnaby
SWH 10081, Burnaby
D900 Scott Pai
Tu 8:30 AM – 10:20 AM
Th 8:30 AM – 9:20 AM
SUR 3170, Surrey
SUR 3170, Surrey
OP01
TBD
OP09
TBD
BUEC 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 BUEC 232. Quantitative.

Section Instructor Day/Time Location
D100 Andrew Flostrand
Tu, Th 2:30 PM – 4:20 PM
SSCB 9201, Burnaby
D200 George Zhang
Tu, Th 8:30 AM – 10:20 AM
SUR 3310, Surrey
E100 Andrew Flostrand
Tu, Th 5:30 PM – 7:20 PM
WMC 3520, Burnaby
OP01
Tu 4:30 PM – 7:20 PM
WMC 2301, Burnaby
OP02
We 8:30 AM – 12:20 PM
WMC 2301, Burnaby
OP03
Th 4:30 PM – 7:20 PM
WMC 2301, Burnaby
OP04
Tu 10:30 AM – 12:20 PM
SUR 3300, Surrey
OP05
Th 10:30 AM – 12:20 PM
SUR 3300, Surrey
OP06
Tu 7:30 PM – 10:20 PM
WMC 2301, Burnaby
OP07
We 5:30 PM – 9:20 PM
WMC 2305, Burnaby
OP08
Th 7:30 PM – 10:20 PM
WMC 2301, Burnaby

Upper Division Requirements

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

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 experimental research. Prerequisite: Any STAT course (except STAT 100), or BUEC 232, or ARCH 376. Statistics major and honors students may not use this course to satisfy the required number of elective units of upper division statistics. However, they may include the course to satisfy the total number of required units of upper division credit. Quantitative.

Section Instructor Day/Time Location
D100 Marie Loughin
Tu 2:30 PM – 4:20 PM
Th 2:30 PM – 3:20 PM
DFA 300, Burnaby
DFA 300, 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. Prerequisite: Any STAT course (except STAT 100), or BUEC 232, or ARCH 376. Statistics major and honors students may not use this course to satisfy the required number of elective units of upper division statistics. However, they may include the course to satisfy the total number of required units of upper division credit. Quantitative.

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
E100 Gamage Perera
Mo 5:30 PM – 7:20 PM
We 5:30 PM – 6:20 PM
SUR 5140, Surrey
SUR 5140, Surrey
E101 Gamage Perera
We 8:30 AM – 9:20 AM
SUR 2710, Surrey
E102 Gamage Perera
We 9:30 AM – 10:20 AM
SUR 2710, Surrey
BUEC 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 BUEC 232 or STAT 270 can take BUEC 333 after 30 units. Students seeking permission to enrol based on their BUEC 232 or STAT 270 grade must contact the Undergraduate Advisor in Economics. Prerequisite: ECON 103 or 200; ECON 105 or 205; BUEC 232 or STAT 270; MATH 157; 60 units. Students with credit for ECON/COMM 236 may not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
D100 Marie Rekkas
Tu 8:30 AM – 11:20 AM
SSCK 9500, Burnaby
D101
Tu 11:30 AM – 12:20 PM
AQ 5046, Burnaby
D102
Tu 12:30 PM – 1:20 PM
AQ 5046, Burnaby
D103
Tu 1:30 PM – 2:20 PM
AQ 5029, Burnaby
D104
Tu 2:30 PM – 3:20 PM
RCB 7105, Burnaby
D105
Tu 3:30 PM – 4:20 PM
AQ 5046, Burnaby
D106
Tu 4:30 PM – 5:20 PM
AQ 5046, Burnaby
D107
We 8:30 AM – 9:20 AM
AQ 5046, Burnaby
D108
We 9:30 AM – 10:20 AM
AQ 5046, Burnaby
D200 Bertille Antoine
Tu 1:30 PM – 2:20 PM
Th 12:30 PM – 2:20 PM
BLU 9660, Burnaby
AQ 5037, Burnaby
D201
We 8:30 AM – 9:20 AM
AQ 5029, Burnaby
D202
We 9:30 AM – 10:20 AM
AQ 5029, Burnaby
D203
We 1:30 PM – 2:20 PM
AQ 5019, Burnaby
D204
Th 8:30 AM – 9:20 AM
AQ 5026, Burnaby
D205
Th 10:30 AM – 11:20 AM
AQ 5026, Burnaby
D206
Th 11:30 AM – 12:20 PM
AQ 5026, Burnaby
OP01
TBD
OP02
TBD

A minimum of 11 of the 15 upper division STAT units must be completed using STAT courses. 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 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.

Section Instructor Day/Time Location
D100 Brad McNeney
Th 12:30 PM – 2:20 PM
EDB 7618, Burnaby
D101 Brad McNeney
Fr 12:30 PM – 1:20 PM
SECB 1014, Burnaby
D102 Brad McNeney
Fr 1:30 PM – 2:20 PM
SECB 1014, Burnaby
D103 Brad McNeney
We 12:30 PM – 1:20 PM
SECB 1014, Burnaby
D104 Brad McNeney
We 1:30 PM – 2:20 PM
SECB 1014, Burnaby
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 403 - Intermediate Sampling and Experimental Design (3)

A practical introduction to useful sampling techniques and intermediate level experimental designs. Statistics major and honors students may not use this course to satisfy the required number of elective units of upper division Statistics. However, they may include the course to satisfy the total number of required units of upper division credit. 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 Carl Schwarz
Tu 2:30 PM – 4:20 PM
Th 2:30 PM – 3:20 PM
AQ 3005, Burnaby
AQ 3005, Burnaby
D101
We 3:30 PM – 4:20 PM
AQ 5030, 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
D100 Liangliang Wang
Tu 4:30 PM – 6:20 PM
Th 4:30 PM – 5:20 PM
BLU 9660, Burnaby
BLU 9660, Burnaby
D101 Liangliang Wang
Mo 1:30 PM – 2:20 PM
AQ 4140, Burnaby
D102 Liangliang Wang
Mo 2:30 PM – 3:20 PM
AQ 5050, Burnaby
D103 Liangliang Wang
Mo 3:30 PM – 4:20 PM
AQ 5050, Burnaby
D104 Liangliang Wang
We 1:30 PM – 2:20 PM
AQ 5036, Burnaby
D105 Liangliang Wang
We 2:30 PM – 3:20 PM
AQ 5050, 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 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 Joan Hu
Tu 10:30 AM – 11:20 AM
Th 9:30 AM – 11:20 AM
AQ 3005, Burnaby
AQ 3005, Burnaby
D101 Joan Hu
We 9:30 AM – 10:20 AM
AQ 4125, Burnaby
D102 Joan Hu
We 3:30 PM – 4:20 PM
AQ 5028, Burnaby
D103 Joan Hu
We 4:30 PM – 5:20 PM
AQ 5038, Burnaby
D104 Joan Hu
We 5:30 PM – 6:20 PM
AQ 5015, 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.

Other recommended courses with a more mathematical focus, requiring more extensive prerequisites:

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
E100 Gamage Perera
Mo 5:30 PM – 7:20 PM
We 5:30 PM – 6:20 PM
SUR 5140, Surrey
SUR 5140, Surrey
E101 Gamage Perera
We 8:30 AM – 9:20 AM
SUR 2710, Surrey
E102 Gamage Perera
We 9:30 AM – 10:20 AM
SUR 2710, Surrey
STAT 410 - Statistical Analysis of Sample Surveys (3)

An introduction to the major sample survey designs and their mathematical justification. Associated statistical analyses. Prerequisite: STAT 350. Quantitative.

Section Instructor Day/Time Location
E100 Jack Davis
Mo 4:30 PM – 6:20 PM
We 4:30 PM – 5:20 PM
RCB 8100, Burnaby
AQ 4150, Burnaby
E101 Jack Davis
We 3:30 PM – 4:20 PM
AQ 5036, Burnaby
E102 Jack Davis
We 5:30 PM – 6:20 PM
AQ 5027, Burnaby
STAT 430 - Statistical Design and Analysis of Experiments (3)

An extension of the designs discussed in STAT 350 to include more than one blocking variable, incomplete block designs, fractional factorial designs, and response surface methods. Prerequisite: STAT 350 (or MATH 372). Quantitative.

STAT 460 - Bayesian Statistics (3)

The Bayesian approach to statistics is an alternative and increasingly popular way of quantifying uncertainty in the presence of data. This course considers comparative statistical inference, prior distributions, Bayesian computation, and applications. Prerequisite: STAT 330 and 350. 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.