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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
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: PreCalculus 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 
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: PreCalculus 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.
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: PreCalculus 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 
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: PreCalculus 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
Riemann sum, Fundamental Theorem of Calculus, definite, indefinite and improper integrals, approximate integration, integration techniques, applications of integration. Firstorder 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 
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 
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 firstorder 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
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 
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 
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 
Caleb Tarzwell 
Mo 12:30 PM – 2:20 PM We 12:30 PM – 1:20 PM 
SSCB 9201, Burnaby SSCB 9201, Burnaby 
OP01 

TBD 
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 
SSCB 9201, Burnaby SWH 10081, Burnaby 
D900 
Maryam DehghaniEstarki 
Tu 8:30 AM – 10:20 AM Th 8:30 AM – 9:20 AM 
SUR 3170, Surrey SUR 3170, Surrey 
OP01 

TBD  
OP09 

TBD 
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 

Tu, Th 2:30 PM – 4:20 PM 
SSCB 9201, Burnaby 
D200 

Tu, Th 8:30 AM – 10:20 AM 
SUR 3310, Surrey 
E100 

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
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 
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.
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 

E200 
Gamage Perera 
Mo 6:00 PM – 7:50 PM We 5:30 PM – 6:20 PM 
SUR 5140, Surrey SUR 5140, Surrey 
E201 

We 8:30 AM – 9:20 AM 
SUR 2710, Surrey 
E202 

We 9:30 AM – 10:20 AM 
SUR 2710, Surrey 
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 
D200 
Bertille Antoine 
Tu 1:30 PM – 2:20 PM Th 12:30 PM – 2:20 PM 
BLU 9660, Burnaby WMC 2503, Burnaby 
D203 

We 1:30 PM – 2:20 PM 
AQ 5019, 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 nonSTAT units that focus on statistical inference, study design, or quantitative reasoning, such as BUS 336. The eligibility of other nonSTAT courses will be at the discretion of departmental advisors. Recommended STAT courses are listed below.
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 

Fr 12:30 PM – 1:20 PM 
SECB 1014, Burnaby 
D102 

Fr 1:30 PM – 2:20 PM 
SECB 1014, Burnaby 
D103 

We 12:30 PM – 1:20 PM 
SECB 1014, Burnaby 
D104 

We 1:30 PM – 2:20 PM 
SECB 1014, Burnaby 
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.
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 
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 

Mo 1:30 PM – 2:20 PM 
AQ 4140, Burnaby 
D102 

Mo 2:30 PM – 3:20 PM 
AQ 5050, Burnaby 
D103 

Mo 3:30 PM – 4:20 PM 
AQ 5050, Burnaby 
D104 

We 1:30 PM – 2:20 PM 
AQ 5036, Burnaby 
D105 

We 2:30 PM – 3:20 PM 
AQ 5050, Burnaby 
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.
Introduction to standard methodology for analyzing categorical data including chisquared tests for two and multiway 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 

We 9:30 AM – 10:20 AM 
AQ 4125, Burnaby 
D102 

We 3:30 PM – 4:20 PM 
AQ 5028, Burnaby 
D103 

We 4:30 PM – 5:20 PM 
AQ 5038, Burnaby 
D104 

We 5:30 PM – 6:20 PM 
AQ 5015, Burnaby 
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:
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 

E200 
Gamage Perera 
Mo 6:00 PM – 7:50 PM We 5:30 PM – 6:20 PM 
SUR 5140, Surrey SUR 5140, Surrey 
E201 

We 8:30 AM – 9:20 AM 
SUR 2710, Surrey 
E202 

We 9:30 AM – 10:20 AM 
SUR 2710, Surrey 
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 

We 3:30 PM – 4:20 PM 
AQ 5036, Burnaby 
E102 

We 5:30 PM – 6:20 PM 
AQ 5027, Burnaby 
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 universitywide 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: BSoc 6 units Humanities: BHum 6 units Sciences: BSci 
6 
Additional Breadth  6 units outside the student’s major subject (may or may not be Bdesignated 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.