Statistics
The Statistics Department offers a range of courses that build on a foundation in probability and statistical theory to provide practical training in statistical methods, study design, and data analysis.
Summer 2023 Session Information
SESSION A (First Half Term) courses are May 22–June 30, 2023
SESSION B (Second Half Term) courses are July 3–August 11, 2023
SESSION X (Full Term) courses are May 22–August 11, 2023
Visit our calendar for a complete list of Summer dates.
Courses
INTRO TO STATISTICAL REASONING
STAT1001W001 3 points.
A friendly introduction to statistical concepts and reasoning with emphasis on developing statistical intuition rather than on mathematical rigor. Topics include design of experiments, descriptive statistics, correlation and regression, probability, chance variability, sampling, chance models, and tests of significance.
Course Number  Section/Call Number  Session  Times/Location  

STAT1001W001  001/10231  Session B 
Mo 06:15 PM–07:50 PM Tu 06:15 PM–07:50 PM We 06:15 PM–07:50 PM Th 06:15 PM–07:50 PM 

Instructor  Points  Enrollment  Method of Instruction  
Paolo Bertolotti 
3 
Open for Enrollment (autofill Wait List) 
InPerson 
INTRODUCTION TO STATISTICS
STAT1101S002 3 points.
Course Number  Section/Call Number  Session  Times/Location  

STAT1101S002  002/10233  Session B 
Mo 06:15 PM–07:50 PM Tu 06:15 PM–07:50 PM We 06:15 PM–07:50 PM Th 06:15 PM–07:50 PM 

Instructor  Points  Enrollment  Method of Instruction  
Daniel Rabinowitz 
3 
Open for Enrollment (autofill Wait List) 
InPerson 
INTRODUCTION TO STATISTICS
STAT1101SD01 3 points.
Course Number  Section/Call Number  Session  Times/Location  

STAT1101SD01  D01/11141  Session A 
Mo 10:45 AM–12:20 PM Tu 10:45 AM–12:20 PM We 10:45 AM–12:20 PM Th 10:45 AM–12:20 PM 

Instructor  Points  Enrollment  Method of Instruction  
Anthony Donoghue 
3 
Closed for Online Registration (no Adds or Drops) 
OnLine Only 
CALCBASED INTRO TO STATISTICS
STAT1201S001 3 points.
Course Number  Section/Call Number  Session  Times/Location  

STAT1201S001  001/10234  Session A 
Mo 10:45 AM–12:20 PM Tu 10:45 AM–12:20 PM We 10:45 AM–12:20 PM Th 10:45 AM–12:20 PM 

Instructor  Points  Enrollment  Method of Instruction  
Seunghyun Lee 
3 
Closed for Online Registration (no Adds or Drops) 
InPerson 
CALCBASED INTRO TO STATISTICS
STAT1201S002 3 points.
Course Number  Section/Call Number  Session  Times/Location  

STAT1201S002  002/10235  Session B 
Mo 06:15 PM–07:50 PM Tu 06:15 PM–07:50 PM We 06:15 PM–07:50 PM Th 06:15 PM–07:50 PM 

Instructor  Points  Enrollment  Method of Instruction  
Jiajin Sun 
3 
Open for Enrollment (autofill Wait List) 
InPerson 
Undergraduate Mentored Research
STAT3107W001 3 points.
Prerequisites: the project mentors permission. This course provides a mechanism for students who undertake research with a faculty member from the Department of Statistics to receive academic credit. Students seeking research opportunities should be proactive and entrepreneurial: identify congenial faculty whose research is appealing, let them know of your interest and your background and skills.
Course Number  Section/Call Number  Session  Times/Location  

STAT3107W001  001/10593  Session A 


Instructor  Points  Enrollment  Method of Instruction  
Ronald Neath 
3 
Open for Enrollment (autofill Wait List) 
InPerson 
INTRODUCTION TO PROBABILITY AND STATISTICS
STAT4001S001 3 points.
Prerequisites: A good working knowledge of calculus, including derivatives, single and double, limits, sums and series. Life is a gamble and with some knowledge of probability / statistics is easier evaluate the risks and rewards involved. Probability theory allows us take a known underlying model and estimate how likely will we be able to see future events. Statistical Inference allows us to take data we have seen and estimate the missing parts of an unknown model. The first part of the course focus on the former and the second part the latter.
Course Number  Section/Call Number  Session  Times/Location  

STAT4001S001  001/10236  Session A 
Mo 04:30 PM–06:05 PM Tu 04:30 PM–06:05 PM We 04:30 PM–06:05 PM Th 04:30 PM–06:05 PM 

Instructor  Points  Enrollment  Method of Instruction  
Gabriel Young 
3 
Closed for Online Registration (no Adds or Drops) 
InPerson 
PROBABILITY THEORY
STAT4203S001 3 points.
Course Number  Section/Call Number  Session  Times/Location  

STAT4203S001  001/10237  Session A 
Mo 04:30 PM–06:05 PM Tu 04:30 PM–06:05 PM We 04:30 PM–06:05 PM Th 04:30 PM–06:05 PM 

Instructor  Points  Enrollment  Method of Instruction  
Young Kim 
3 
Closed for Online Registration (no Adds or Drops) 
InPerson 
STATISTICAL INFERENCE
STAT4204S001 3 points.
Course Number  Section/Call Number  Session  Times/Location  

STAT4204S001  001/10238  Session A 
Mo 06:15 PM–07:50 PM Tu 06:15 PM–07:50 PM We 06:15 PM–07:50 PM Th 06:15 PM–07:50 PM 

Instructor  Points  Enrollment  Method of Instruction  
Daniel Rabinowitz 
3 
Closed for Online Registration (no Adds or Drops) 
InPerson 
Linear Regression Models
STAT4205S001 3 points.
Prerequisites: STAT GU4204 or the equivalent, and a course in linear algebra. Theory and practice of regression analysis. Simple and multiple regression, testing, estimation, prediction, and confidence procedures, modeling, regression diagnostics and plots, polynomial regression, colinearity and confounding, model selection, geometry of least squares. Extensive use of the computer to analyse data.
Course Number  Section/Call Number  Session  Times/Location  

STAT4205S001  001/10239  Session A 
Mo 06:15 PM–07:50 PM Tu 06:15 PM–07:50 PM We 06:15 PM–07:50 PM Th 06:15 PM–07:50 PM 

Instructor  Points  Enrollment  Method of Instruction  
Alex Pijyan 
3 
Closed for Online Registration (no Adds or Drops) 
InPerson 
STAT COMP & INTRO DATA SCIENCE
STAT4206S001 3 points.
Course Number  Section/Call Number  Session  Times/Location  

STAT4206S001  001/10240  Session A 
Mo 04:30 PM–06:05 PM Tu 04:30 PM–06:05 PM We 04:30 PM–06:05 PM Th 04:30 PM–06:05 PM 

Instructor  Points  Enrollment  Method of Instruction  
Yongchan Kwon 
3 
Closed for Online Registration (no Adds or Drops) 
InPerson 
Time Series Analysis
STAT4221S001 3 points.
Course Number  Section/Call Number  Session  Times/Location  

STAT4221S001  001/10241  Session A 
Mo 01:00 PM–04:10 PM We 01:00 PM–04:10 PM 

Instructor  Points  Enrollment  Method of Instruction  
Rongning Wu 
3 
Closed for Online Registration (no Adds or Drops) 
InPerson 
STATISTICAL MACHINE LEARNING
STAT4241S001 3 points.
Course Number  Section/Call Number  Session  Times/Location  

STAT4241S001  001/10243  Session A 
Mo 02:45 PM–04:20 PM Tu 02:45 PM–04:20 PM We 02:45 PM–04:20 PM Th 02:45 PM–04:20 PM 

Instructor  Points  Enrollment  Method of Instruction  
Banu Baydil 
3 
Closed for Online Registration (no Adds or Drops) 
InPerson 
PROBABILITY
STAT5203W001 3 points.
Prerequisites: At least one semester of calculus. A calculusbased introduction to probability theory. Topics covered include random variables, conditional probability, expectation, independence, Bayes rule, important distributions, joint distributions, moment generating functions, central limit theorem, laws of large numbers and Markovs inequality.
Course Number  Section/Call Number  Session  Times/Location  

STAT5203W001  001/10245  Session A 
Mo 04:30 PM–06:05 PM Tu 04:30 PM–06:05 PM We 04:30 PM–06:05 PM Th 04:30 PM–06:05 PM 

Instructor  Points  Enrollment  Method of Instruction  
Young Kim 
3 
Closed for Online Registration (no Adds or Drops) 
InPerson 
STATISTICAL INFERENCE
STAT5204W001 3 points.
Prerequisites: STAT GR5203 or the equivalent, and two semesters of calculus. Calculusbased introduction to the theory of statistics. Useful distributions, law of large numbers and central limit theorem, point estimation, hypothesis testing, confidence intervals, maximum likelihood, likelihood ratio tests, nonparametric procedures, theory of least squares and analysis of variance.
Course Number  Section/Call Number  Session  Times/Location  

STAT5204W001  001/10246  Session A 
Mo 06:15 PM–07:50 PM Tu 06:15 PM–07:50 PM We 06:15 PM–07:50 PM Th 06:15 PM–07:50 PM 

Instructor  Points  Enrollment  Method of Instruction  
Daniel Rabinowitz 
3 
Closed for Online Registration (no Adds or Drops) 
InPerson 
STAT COMP & INTRO DATA SCIENCE
STAT5206S001 3 points.
Course Number  Section/Call Number  Session  Times/Location  

STAT5206S001  001/10248  Session A 
Mo 04:30 PM–06:05 PM Tu 04:30 PM–06:05 PM We 04:30 PM–06:05 PM Th 04:30 PM–06:05 PM 

Instructor  Points  Enrollment  Method of Instruction  
Yongchan Kwon 
3 
Closed for Online Registration (no Adds or Drops) 
InPerson 
Time Series Analysis
STAT5221S001 3 points.
Course Number  Section/Call Number  Session  Times/Location  

STAT5221S001  001/10249  Session A 
Mo 01:00 PM–04:10 PM We 01:00 PM–04:10 PM 

Instructor  Points  Enrollment  Method of Instruction  
Rongning Wu 
3 
Closed for Online Registration (no Adds or Drops) 
InPerson 
STATISTICAL MACHINE LEARNING
STAT5241S001 3 points.
Course Number  Section/Call Number  Session  Times/Location  

STAT5241S001  001/10251  Session A 
Mo 02:45 PM–04:20 PM Tu 02:45 PM–04:20 PM We 02:45 PM–04:20 PM Th 02:45 PM–04:20 PM 

Instructor  Points  Enrollment  Method of Instruction  
Banu Baydil 
3 
Closed for Online Registration (no Adds or Drops) 
InPerson 
MA Mentored Research
STAT5398G002 1 points.
This course is intended to provide a mechanism to MA students in Statistics who undertake oncampus project work or research. The course may be signed up with a faculty member from the Department of Statistics for academic credit. Students seeking to enroll in the course should identify an oncampus project and a congenial faculty member whose research is appealing to them, and who are able to serve as their mentor. Students should then submit an application to enroll in this course, which will be reviewed and approved by the Faculty Director of the MA in Statistics program.
Course Number  Section/Call Number  Session  Times/Location  

STAT5398G002  002/  X Summer Session 


Instructor  Points  Enrollment  Method of Instruction  
Xiaofei Shi 
1 
Open for Enrollment (autofill Wait List) 
OnLine Only 
MA Mentored Research
STAT5398G003 1 points.
This course is intended to provide a mechanism to MA students in Statistics who undertake oncampus project work or research. The course may be signed up with a faculty member from the Department of Statistics for academic credit. Students seeking to enroll in the course should identify an oncampus project and a congenial faculty member whose research is appealing to them, and who are able to serve as their mentor. Students should then submit an application to enroll in this course, which will be reviewed and approved by the Faculty Director of the MA in Statistics program.
Course Number  Section/Call Number  Session  Times/Location  

STAT5398G003  003/  R Summer Session 


Instructor  Points  Enrollment  Method of Instruction  
Demissie Alemayehu 
1 
Open for Enrollment (autofill Wait List) 
OnLine Only 