
Section  Day  Time  Instructor  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 

 
Andrei Volodin 


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 

 
Andrei Volodin 


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 

 
Andrei Volodin 


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 

 
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 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 
M 
08:30am  11:15am 
AugustinLiviu Mare 
17APR23 
RMTE 
002 
TR 
5:30pm  6:45pm 
Elham Soufiani 
25APR23 

029 
TR 
2:30pm  3:45pm 
Wayne Clark 
18APR23 
HYBRM 
101 
T 
2:30pm  5:15pm 
Suporna Das 
24APR23 

101 
T 
2:30pm  5:15pm 
Suporna Das 
24APR23 

297 
TR 
09:00am  10:20am 
Eric Hamm 

VIDEO 
299 
TR 
09:00am  10:20am 
Eric Hamm 

VIDEO 
303 
TR 
2:30pm  3:45pm 
Wayne Clark 
18APR23 
HYBON 
314 
TR 
09:00am  10:20am 
Eric Hamm 


337 
TR 
09:00am  10:20am 
Eric Hamm 

VIDEO 
339 
TR 
09:00am  10:20am 
Eric Hamm 

VIDEO 
501 
M 
09:00am  11:50am 
Osama Bataineh 
24APR23 

991 
M 
7:00pm  9:45pm 
Suporna Das 
25APR23 

L01 
TR 
11:30am  12:45pm 
Vijayaparvathy Agasthian 
25APR23 

L02 
TR 
08:30am  09:45am 
Vijayaparvathy Agasthian 
25APR23 

S01 
W 
2:30pm  5:15pm 
Arzu Sardarli 
19APR23 
RMTE 
S02 
W 
2:30pm  5:15pm 
Arzu Sardarli 
19APR23 
RMTE 
S10 
W 
2:30pm  5:15pm 
Arzu Sardarli 
19APR23 
RMTE 
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 
2:30pm  3:20pm 
Suporna Das 
27APR23 

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 
5:30pm  6:45pm 
Suporna Das 
18APR23 

L01 
MW 
11:30am  12:45pm 
Vijayaparvathy Agasthian 
24APR23 

STAT 252  Introduction to Statistical Inference 
Sampling distribution theory and the Central Limit Theorem; large sample theory; methods of estimation and hypothesis testing including maximum likelihood estimation, likelihood ratio testing, and confidence interval construction. ***Prerequisite: STAT 251.*** 
001 
MWF 
2:30pm  3:20pm 
Mohammad Mastak Al Amin 
17APR23 

STAT 289  Statistics for Engineers 
Topics include probability, discrete and continuous distributions, the central limit theorem, confidence intervals and hypothesis tests for one and two samples, linear regression and correlation.
***Prerequisite: MATH 111***
*Note: Designed for engineering students. Students who received credit for STAT 289 may not receive credit for STAT 100, 160, or 200. 
001 
WF 
08:30am  09:45am 
Richard McIntosh 
19APR23 

STAT 300  Statistical Learning and Predictive Modeling 
Selected topics and techniques in statistical learning and predictive modeling, including linear models, logistic regression models, regression trees, classification models and statistical software.
***Prerequisite: MATH 122, STAT 252, and CS 110***
*Note: Students can receive credit for only one of ACSC 300 and STAT 300* 
001 
TR 
11:30am  12:45pm 
Andrei Volodin 
25APR23 

010 
M 
12:30pm  1:20pm 
Sarah Carnochan Naqvi 


STAT 357  Sampling Theory 
Simple random sampling; systematic sampling; stratified and cluster sampling; ratio and regression estimators.
***Prerequisite: STAT 252 and CS 110.*** 
001 
TR 
10:00am  11:15am 
Yang Zhao 
20APR23 

010 
M 
10:30am  11:20am 
Sarah Carnochan Naqvi 


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 

 
Andrei Volodin 


STAT 426  Survival Analysis 
Life tables; survival distributions; types of censoring; estimation of and interface for basic survival quantities; proportional hazards regression model; planning and design of clinical trials.
***Prerequisite: STAT 351.*** 
001 
TR 
2:30pm  3:45pm 
DianLiang Deng 
18APR23 

STAT 452  Advanced Statstical Inference 
Detailed theoretical development of statistical inference; statistical models; exponential families; sufficiency; completeness; properties of point estimation; testing hypotheses and confidence regions; asymptotic properties of estimators. ***Prerequisite: STAT 351 and STAT 252.*** 
001 
TR 
1:00pm  2:15pm 
DianLiang Deng 
20APR23 

STAT 456  Applied Stochastic Processes 
An introduction to stochastic processes; Markov chains; Poisson processes; renewal processes; Brownian motion; simulation.
***Prerequisite: STAT 351.***
*Note: Credit can be earned for only one of STAT 456, ACSC 456, or STAT 856.* 
001 
MWF 
09:30am  10:20am 
Andrei Volodin 
19APR23 
