
Section  Day  Time  Exam Date  Delivery 

STAT 051  Statistics Coop Work Term #1 
Fourmonth coop work term #1 approved by the department and arranged by the coop coordinator. 
001 

 


STAT 052  Statistics Coop Work Term #2 
Fourmonth coop work term #2 approved by the department and arranged by the coop coordinator.
*** Prerequisite: STAT 051 *** 
001 

 


STAT 053  Statistics Coop Work Term #3 
Fourmonth coop work term #3 approved by the department and arranged by the coop coordinator.
*** Prerequisite: STAT 052 *** 
001 

 


STAT 054  Statistics Coop Work Term #4 
Fourmonth coop work term #4 approved by the department and arranged by the coop coordinator.
*** Prerequisite: STAT 053 *** 
001 

 


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 oneway 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 yearlong 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 
18DEC23 

991 
R 
7:00pm  9:45pm 
18DEC23 

C01 
W 
11:30am  12:20pm 
18DEC23 

C01 
W 
11:30am  12:20pm 
18DEC23 

C01 
MWF 
11:30am  12:20pm 
18DEC23 

C01 
MWF 
11:30am  12:20pm 
18DEC23 

C02 
W 
11:30am  12:20pm 
18DEC23 

C02 
W 
11:30am  12:20pm 
18DEC23 

C02 
MWF 
11:30am  12:20pm 
18DEC23 

C02 
MWF 
11:30am  12:20pm 
18DEC23 

L01 
TR 
08:30am  09:45am 
18DEC23 

L02 
MW 
10:00am  11:15am 
18DEC23 

S01 
TR 
10:00am  11:15am 
21DEC23 

S02 
TR 
10:00am  11:15am 
21DEC23 

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 
11DEC23 

002 
MW 
7:00pm  8:15pm 
11DEC23 

STAT 165  Introduction to Programming with Python 
An introduction to problemsolving 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 
11DEC23 

010 
T 
11:30am  1:20pm 


020 
T 
2:30pm  4:20pm 


STAT 200  Intermediate Statistics for Applications 
A continuation of STAT 100; inference for two categorical variables; basic multiple linear regression; twoway 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 yearlong 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 
15DEC23 

L01 
MW 
08:30am  09:45am 
15DEC23 

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 
14DEC23 

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 
14DEC23 

010 
M 
2:30pm  3:20pm 


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 
21DEC23 

010 
F 
2:30pm  3:20pm 


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 
19DEC23 

010 
M 
11:30am  12:20pm 


STAT 384  Categorical Data Analysis 
Odds ratio; twoway and higherway contingency tables; Chisquared 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 
08DEC23 

010 
M 
3:30pm  4:20pm 


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 
21DEC23 

010 
F 
1:30pm  2:20pm 


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 splitplot designs; fixed and random effects; multiple comparisons; analysis of covariance.
***Prerequisite: STAT 354*** 
001 
TR 
1:00pm  2:15pm 
14DEC23 
