This course examines modern statistical methods as a basis for decision making in the face of uncertainty. Topics include probability theory, discrete and continuous distributions, hypothesis testing, estimation, and statistical quality control. With the aid of computers, these statistical methods are used to analyze data.
Statistics & Operations Research (Undergraduate)
4 credits – 15 Weeks
This course examines modern statistical methods as a basis for decision making in the face of uncertainty. Topics include probability theory, discrete and continuous distributions, hypothesis testing, estimation, and statistical quality control. With the aid of computers, these statistical methods are used to analyze data. Also presented are an introduction to statistical models and their application to decision making. Topics include the simple linear regression model, inference in regression analysis, sensitivity analysis, and multiple regression analysis.
Statistics & Operations Research (Undergraduate)
6 credits – 15 Weeks
STAT-UB 103-000 (2538)01/22/2024 – 05/06/2024 Mon,Tue,Thu8:00 AM – 9:00 AM (Morning)at Washington SquareInstructed by Giloni, Avi.
STAT-UB 103-000 (2539)01/22/2024 – 05/06/2024 Mon,Wed,Fri11:00 AM – 12:00 AM (Morning)at Washington SquareInstructed by Duan, Yaqi
STAT-UB 103-000 (2540)01/22/2024 – 05/06/2024 Mon,Wed,Fri2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Chen, Elynn
STAT-UB 103-000 (2541)01/22/2024 – 05/06/2024 Tue,Thu,Fri9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Kovtun, Vladimir
STAT-UB 103-000 (2542)01/22/2024 – 05/06/2024 Tue,Thu,Fri9:00 AM – 10:00 AM (Morning)at Washington SquareInstructed by Turetsky, Jason
STAT-UB 103-000 (2995)01/22/2024 – 05/06/2024 Tue,Thu,Fri2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Turetsky, Jason
Covers the basic concepts of probability. Topics include the axiomatic definition of probability; combinatorial theorems; conditional probability and independent events; random variables and probability distributions; expectation of functions of random variables; special discrete and continuous distributions, including the chi-square, t, F, and bivariate normal distributions; law of large numbers; central limit theorem; and moment generating functions. The theory of statistical estimation is introduced with a discussion on maximum likelihood estimation.
Statistics & Operations Research (Undergraduate)
3 credits – 14 Weeks
STAT-UB 14-000 (20243)09/05/2023 – 12/15/2023 Tue,Thu3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Tenenbein, Aaron
For most students joining IMA in Fall 2022 and beyond, our new program structure affects the categorization of courses on this site.
Classes listed in the "IMA Major Electives" categories refer to the old IMA program structure. If you're under the new IMA program structure, these courses count as general IMA Electives.
You can still search the Interchange for most of your courses. You can find "IMA Major Distribution" courses listed here: