Spring 2023 Industrial Engineering and Operations Research E4511 section 001

Industry Projects in Analytics & Operati

Industry Projs in Analyti

Call Number 11440
Day & Time
Location
M 9:00am-11:30am
326 Uris Hall
Points 3
Grading Mode Standard
Approvals Required None
Instructor Michael Robbins
Type LECTURE
Method of Instruction In-Person
Course Description

Teams of students work on real-world projects in analytics. Focus on three aspects of analytics: identifying client analytical requirements; assembling, cleaning and organizing data; identifying and implementing analytical techniques (e.g., statistics and/or machine learning); and delivering results in a client-friendly format. Each project has a defined goal and pre-identified data to analyze in one semester. Client facing class. Class requires 10 hours of time per week and possible client visits on Fridays.

 

Web Site Vergil
Department Industrial Engineering and Operations Research
Enrollment 83 students (100 max) as of 11:34PM Thursday, March 28, 2024
Subject Industrial Engineering and Operations Research
Number E4511
Section 001
Division School of Engineering and Applied Science: Graduate
Open To Engineering:Undergraduate, Engineering:Graduate
Campus Morningside
Section key 20231IEOR4511E001