Spring 2023 Industrial Engineering and Operations Research E4530 section 001

TOPICS IN OPERATIONS RESEARCH

Stat Methods for Analytic

Call Number 11494
Day & Time
Location
TR 4:10pm-5:25pm
524 Seeley W. Mudd Building
Points 3
Grading Mode Standard
Approvals Required None
Instructor Christopher J Dolan
Type LECTURE
Method of Instruction In-Person
Course Description

This course focuses on core statistical techniques that are necessary to excel in a career in data science or business analytics. We start the course with a deeper dive into the theory of statistical inference, and introduce the Bayesian approach, which is common in industry. Next we introduce a common suite of testing methods, with a special emphasis on the general linear model. We conclude the course with several advanced topics that are highly useful in industry. Emphasis will be placed on applications and examples from industry.

Web Site Vergil
Department Industrial Engineering and Operations Research
Enrollment 21 students (50 max) as of 9:05PM Thursday, March 28, 2024
Subject Industrial Engineering and Operations Research
Number E4530
Section 001
Division School of Engineering and Applied Science: Graduate
Campus Morningside
Section key 20231IEOR4530E001