|
| Section | Day | Time | Instructor | Exam Date | Delivery |
|---|
| STAT 051 - Statistics Co-op Work Term #1 |
|---|
| Four-month co-op work term #1 approved by the department and arranged by the co-op coordinator. |
| 001 |
|
- |
Andrei Volodin |
|
|
| STAT 052 - Statistics Co-op Work Term #2 |
|---|
| Four-month co-op work term #2 approved by the department and arranged by the co-op coordinator.
*** Prerequisite: STAT 051 *** |
| 001 |
|
- |
Andrei Volodin |
|
|
| STAT 053 - Statistics Co-op Work Term #3 |
|---|
| Four-month co-op work term #3 approved by the department and arranged by the co-op coordinator.
*** Prerequisite: STAT 052 *** |
| 001 |
|
- |
Andrei Volodin |
|
|
| STAT 054 - Statistics Co-op Work Term #4 |
|---|
| Four-month co-op work term #4 approved by the department and arranged by the co-op coordinator.
*** Prerequisite: STAT 053 *** |
| 001 |
|
- |
Andrei Volodin |
|
|
| STAT 100 - Elementary Statistics for Applications |
|---|
| An introduction to statistical methods; descriptive statistics; the normal distribution; basic techniques of statistical inference; confidence intervals and hypothesis tests for population means and proportions; simple linear regression; and one-way analysis of variance.
***Prerequisite: Foundations of Math 20 or Precalculus 20 or Apprenticeship & Workplace Math 30 or MATH A30 or AMTH 091 or MATH 101***
*Note: STAT 100 and STAT 200 are designed to provide a year-long introduction to statistical methodology with a view towards applications and are not intended for majors in statistics, actuarial science, or any other program requiring a detailed knowledge of statistics. Students who receive credit for STAT 100 may not receive credit for STAT 160* |
| 001 |
TR |
10:00am - 11:15am |
Patrick Maidorn |
18-DEC-23 |
|
| 991 |
R |
7:00pm - 9:45pm |
Hugo Rodriguez Ordonez |
18-DEC-23 |
|
| C01 |
W |
11:30am - 12:20pm |
Robert Petry |
18-DEC-23 |
|
| C01 |
W |
11:30am - 12:20pm |
Robert Petry |
18-DEC-23 |
|
| C01 |
MWF |
11:30am - 12:20pm |
Robert Petry |
18-DEC-23 |
|
| C01 |
MWF |
11:30am - 12:20pm |
Robert Petry |
18-DEC-23 |
|
| C02 |
W |
11:30am - 12:20pm |
Robert Petry |
18-DEC-23 |
|
| C02 |
W |
11:30am - 12:20pm |
Robert Petry |
18-DEC-23 |
|
| C02 |
MWF |
11:30am - 12:20pm |
Robert Petry |
18-DEC-23 |
|
| C02 |
MWF |
11:30am - 12:20pm |
Robert Petry |
18-DEC-23 |
|
| L01 |
TR |
08:30am - 09:45am |
Vijayaparvathy Agasthian |
18-DEC-23 |
|
| L02 |
MW |
10:00am - 11:15am |
Vijayaparvathy Agasthian |
18-DEC-23 |
|
| S01 |
TR |
10:00am - 11:15am |
Edward Doolittle |
21-DEC-23 |
|
| S02 |
TR |
10:00am - 11:15am |
Edward Doolittle |
21-DEC-23 |
|
| STAT 160 - Introductory Statistics |
|---|
| A comprehensive introduction to probability, probability distributions, sampling distributions, basic techniques of statistical inference, analysis of variance, linear regression, inference for categorical variables, and nonparametric statistics. ***Prerequisite: Precalculus 30, or MATH B30 and MATH C30, or MATH 127***
*Note: STAT 160 is designed to provide a comprehensive single semester introduction to statistical techniques and is intended for students majoring in statistics, actuarial science, or any other program requiring a detailed knowledge of statistics. Students who receive credit for STAT 160 may not receive credit for STAT 100 or STAT 200* |
| 001 |
MWF |
11:30am - 12:20pm |
Yang Zhao |
11-DEC-23 |
|
| 002 |
MW |
7:00pm - 8:15pm |
Mohammad Mastak Al Amin |
11-DEC-23 |
|
| STAT 165 - Introduction to Programming with Python |
|---|
| An introduction to problem-solving techniques using Python. This course will introduce fundamental programming principles and topics: data types, expressions, control structures, elementary data structures, functions, files, and the mechanics of running, testing and debugging. These concepts will be applied to problem solving and applications in data analysis.
***Prerequisite: Foundations of Mathematics 30, Precalculus 20, Math B30, Math C30, or PMTH 092.***
*Note: Students may receive credit for one of CS 165 or STAT 165.* |
| 001 |
MW |
2:30pm - 3:45pm |
Nashid Shahriar |
11-DEC-23 |
|
| 010 |
T |
11:30am - 1:20pm |
STAFF |
|
|
| 020 |
T |
2:30pm - 4:20pm |
STAFF |
|
|
| STAT 200 - Intermediate Statistics for Applications |
|---|
| A continuation of STAT 100; inference for two categorical variables; basic multiple linear regression; two-way analysis of variance; introduction to nonparametric methods; statistical process control; introduction to survey design.
***Prerequisite: STAT 100***
*Note: STAT 100 and STAT 200 are designed to provide a year-long introduction to statistical methodology with a view towards applications and are not intended for majors in statistics, actuarial science, or any other program requiring a detailed knowledge of statistics. Students who receive credit for STAT 200 may not receive credit for STAT 160* |
| 001 |
TR |
4:30pm - 5:45pm |
Hugo Rodriguez Ordonez |
15-DEC-23 |
|
| L01 |
MW |
08:30am - 09:45am |
Vijayaparvathy Agasthian |
15-DEC-23 |
|
| STAT 251 - Introduction to Probability |
|---|
| Basic notions of probability; discrete and continuous random variables; expectation; moment generating functions; joint discrete random variables.
***Prerequisites: MATH 111 or MATH 112 and one of STAT 160 or STAT 200***
*Note: Students can receive credit for only one of Math 251 and Stat 251* |
| 001 |
TR |
1:00pm - 2:15pm |
James McVittie |
14-DEC-23 |
|
| STAT 317 - Actuarial Models I |
|---|
| Probabilistic and deterministic contingency mathematics in life insurance and pensions. Topics include: benefit premiums, benefit reserves, multiple life functions, and multiple decrement models.
***Prerequisite: ACSC 217 or STAT 217***
*Note: Students may receive credit for only one of ACSC 317 or STAT 317* |
| 001 |
TR |
1:00pm - 2:15pm |
Jan-Paul Venter |
14-DEC-23 |
|
| 010 |
M |
2:30pm - 3:20pm |
STAFF |
|
|
| STAT 354 - Linear Statistical Methods |
|---|
| Simple linear regression; multiple linear regression; diagnostics and remedial measures for regression models; remedial measures and alternative regression techniques; multicollinearity diagnostics.
***Prerequisite: STAT 252 and CS 110 and MATH 122.*** |
| 001 |
TR |
10:00am - 11:15am |
James McVittie |
21-DEC-23 |
|
| 010 |
F |
2:30pm - 3:20pm |
Sarah Carnochan Naqvi |
|
|
| STAT 362 - Bayesian Statistics |
|---|
| An introduction to Bayesian methods; Bayesian inference for discrete random variables, binomial proportions, and normal means; comparisons between Bayesian and frequentist inferences; robust Bayesian methods.
***Prerequisite: STAT 252 and CS 110.*** |
| 001 |
TR |
11:30am - 12:45pm |
Andrei Volodin |
19-DEC-23 |
|
| 010 |
M |
11:30am - 12:20pm |
Sarah Carnochan Naqvi |
|
|
| STAT 384 - Categorical Data Analysis |
|---|
| Odds ratio; two-way and higher-way contingency tables; Chi-squared tests of independence; loglinear and logit models; multinomial response models; models for matched pairs.
***Prerequisite: STAT 252 and CS 110.***
*Note: It is suggested that students register for STAT 354 concurrently if possible.* |
| 001 |
MWF |
10:30am - 11:20am |
Yang Zhao |
08-DEC-23 |
|
| 010 |
M |
3:30pm - 4:20pm |
Sarah Carnochan Naqvi |
|
|
| STAT 418 - Time Series Analysis and Forecasting |
|---|
| This course aims to introduce various statistical models for time series and cover the main methods for analysis and forecasting. Topics include: Deterministic time series: Trends and Seasonality; Random walk models; Stationary time series: White noise processes, Autoregressive (AR), Moving Average (MA), Autoregressive Moving Average (ARMA) models; Estimation, Diagnosis and Forecasting with various time series models; computer programming for Time Series Analysis.
***Prerequisite: STAT 354***
*Note: Students may receive credit for only one of ACSC 418 or STAT 418* |
| 001 |
TR |
10:00am - 11:15am |
Peter Douglas |
21-DEC-23 |
|
| 010 |
F |
1:30pm - 2:20pm |
STAFF |
|
|
| STAT 485 - Design and Analysis of Experiments |
|---|
| Theory and application of analysis of variance for standard experimental designs including blocked, nested, factorial, Latin square, and split-plot designs; fixed and random effects; multiple comparisons; analysis of covariance.
***Prerequisite: STAT 354*** |
| 001 |
TR |
1:00pm - 2:15pm |
DianLiang Deng |
14-DEC-23 |
|
