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.
For questions about specific courses, contact the department.
Courses
Prerequisites: some high school algebra. Designed for students in fields that emphasize quantitative methods. This course satisfies the statistics requirements of all majors except statistics, economics, and engineering. Graphical and numerical summaries, probability, theory of sampling distributions, linear regression, confidence intervals, and hypothesis testing are taught as aids to quantitative reasoning and data analysis. Use of statistical software required. Illustrations are taken from a variety of fields. Data-collection/analysis project with emphasis on study designs is part of the coursework requirement.
Course Number
STAT1101S002Format
In-PersonSession
Session BPoints
3 ptsSummer 2024
Times/Location
Mo 18:15-19:50Tu 18:15-19:50We 18:15-19:50Th 18:15-19:50Section/Call Number
002/10223Enrollment
8 of 45Instructor
Daniel RabinowitzPrerequisites: some high school algebra. Designed for students in fields that emphasize quantitative methods. This course satisfies the statistics requirements of all majors except statistics, economics, and engineering. Graphical and numerical summaries, probability, theory of sampling distributions, linear regression, confidence intervals, and hypothesis testing are taught as aids to quantitative reasoning and data analysis. Use of statistical software required. Illustrations are taken from a variety of fields. Data-collection/analysis project with emphasis on study designs is part of the coursework requirement.
Course Number
STAT1101SD01Format
On-Line OnlySession
Session APoints
3 ptsSummer 2024
Times/Location
Mo 10:45-12:20Tu 10:45-12:20We 10:45-12:20Th 10:45-12:20Section/Call Number
D01/10322Enrollment
23 of 45Instructor
Anthony DonoghueCourse Number
STAT1201S001Format
In-PersonSession
Session APoints
3 ptsSummer 2024
Times/Location
Mo 10:45-12:20Tu 10:45-12:20We 10:45-12:20Th 10:45-12:20Section/Call Number
001/10224Enrollment
10 of 45Instructor
Hane LeeCourse Number
STAT1201S002Format
In-PersonSession
Session BPoints
3 ptsSummer 2024
Times/Location
Mo 18:15-19:50Tu 18:15-19:50We 18:15-19:50Th 18:15-19:50Section/Call Number
002/10225Enrollment
17 of 45Instructor
Alex PijyanPrerequisites: 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
STAT3107W001Format
In-PersonSession
Session APoints
3 ptsSummer 2024
Section/Call Number
001/12029Enrollment
0 of 10Instructor
Ronald NeathPrerequisites: 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
STAT4001S001Format
In-PersonSession
Session APoints
3 ptsSummer 2024
Times/Location
Mo 16:30-18:05Tu 16:30-18:05We 16:30-18:05Th 16:30-18:05Section/Call Number
001/10226Enrollment
11 of 35Instructor
Gabriel YoungCourse Number
STAT4203S001Format
In-PersonSession
Session APoints
3 ptsSummer 2024
Times/Location
Mo 16:30-18:05Tu 16:30-18:05We 16:30-18:05Th 16:30-18:05Section/Call Number
001/10227Enrollment
2 of 25Instructor
Young KimCourse Number
STAT4204S001Format
In-PersonSession
Session APoints
3 ptsSummer 2024
Times/Location
Mo 18:15-19:50Tu 18:15-19:50We 18:15-19:50Th 18:15-19:50Section/Call Number
001/10228Enrollment
11 of 25Instructor
Ji Meng LohPrerequisites: 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
STAT4205S001Format
In-PersonSession
Session APoints
3 ptsSummer 2024
Times/Location
Mo 18:15-19:50Tu 18:15-19:50We 18:15-19:50Th 18:15-19:50Section/Call Number
001/10229Enrollment
3 of 25Instructor
Daniel RabinowitzCourse Number
STAT4206S001Format
In-PersonSession
Session APoints
3 ptsSummer 2024
Times/Location
Mo 16:30-18:05Tu 16:30-18:05We 16:30-18:05Th 16:30-18:05Section/Call Number
001/10230Enrollment
3 of 25Instructor
Yongchan KwonCourse Number
STAT4221S001Format
In-PersonSession
Session APoints
3 ptsSummer 2024
Times/Location
Mo 18:15-19:50Tu 18:15-19:50We 18:15-19:50Th 18:15-19:50Section/Call Number
001/10231Enrollment
0 of 25Instructor
Rongning WuCourse Number
STAT4241S001Format
In-PersonSession
Session APoints
3 ptsSummer 2024
Times/Location
Mo 18:15-19:50Tu 18:15-19:50We 18:15-19:50Th 18:15-19:50Section/Call Number
001/10234Enrollment
0 of 25Instructor
Banu BaydilCourse Number
STAT4261S001Format
In-PersonSession
Session APoints
3 ptsSummer 2024
Times/Location
Tu 09:00-12:10Th 09:00-12:10Section/Call Number
001/10236Enrollment
5 of 25Instructor
Hammou El BarmiPrerequisites: At least one semester of calculus. A calculus-based 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
STAT5203W001Format
In-PersonSession
Session APoints
3 ptsSummer 2024
Times/Location
Mo 16:30-18:05Tu 16:30-18:05We 16:30-18:05Th 16:30-18:05Section/Call Number
001/10238Enrollment
0 of 15Instructor
Young KimPrerequisites: STAT GR5203 or the equivalent, and two semesters of calculus. Calculus-based 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
STAT5204W001Format
In-PersonSession
Session APoints
3 ptsSummer 2024
Times/Location
Mo 18:15-19:50Tu 18:15-19:50We 18:15-19:50Th 18:15-19:50Section/Call Number
001/10239Enrollment
0 of 15Instructor
Ji Meng LohPrerequisites: STAT GR5203 and GR5204 or the equivalent. Theory and practice of regression analysis, Simple and multiple regression, including testing, estimation, 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
STAT5205W001Format
In-PersonSession
Session APoints
3 ptsSummer 2024
Times/Location
Mo 18:15-19:50Tu 18:15-19:50We 18:15-19:50Th 18:15-19:50Section/Call Number
001/10256Enrollment
1 of 15Instructor
Daniel RabinowitzCourse Number
STAT5206S001Format
In-PersonSession
Session APoints
3 ptsSummer 2024
Times/Location
Mo 18:15-19:50Tu 18:15-19:50We 18:15-19:50Th 18:15-19:50Section/Call Number
001/10240Enrollment
0 of 15Instructor
Yongchan KwonCourse Number
STAT5221S001Format
In-PersonSession
Session APoints
3 ptsSummer 2024
Times/Location
Mo 16:30-18:05Tu 16:30-18:05We 16:30-18:05Th 16:30-18:05Section/Call Number
001/10241Enrollment
8 of 15Instructor
Rongning WuCourse Number
STAT5241S001Format
In-PersonSession
Session APoints
3 ptsSummer 2024
Times/Location
Mo 18:15-19:50Tu 18:15-19:50We 18:15-19:50Th 18:15-19:50Section/Call Number
001/10235Enrollment
1 of 15Instructor
Banu BaydilCourse Number
STAT5261S001Format
In-PersonSession
Session APoints
3 ptsSummer 2024
Times/Location
Tu 09:00-12:10Th 09:00-12:10Section/Call Number
001/10237Enrollment
5 of 15Instructor
Hammou El BarmiCourse Number
STAT5399G001Format
In-PersonSession
Session APoints
1 ptsSummer 2024
Section/Call Number
001/11948Enrollment
1 of 35Instructor
Demissie Alemayehu.
Course Number
STAT8201Q001Format
In-PersonSession
Session APoints
3 ptsSummer 2024
Times/Location
We 09:35-10:50Th 09:35-10:50Fr 09:35-10:50Tu 11:15-12:30We 11:15-12:30Th 11:15-12:30Fr 11:15-12:30Section/Call Number
001/12030Enrollment
3 of 55Instructor
Bodhisattva Sen.