Directory of Classes

NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information.

Spring 2022 Industrial Engineering and Operations Research E4511 section 001
Industry Projects in Analytics & Operati
Industry Projs in Analyti

Call Number 17148
Day & Time
M 9:00am-11:30am
301 Uris Hall
Points 3
Grading Mode Standard
Approvals Required None
Instructor Michael Robbins
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 77 students (90 max) as of 8:03AM Saturday, June 25, 2022
Subject Industrial Engineering and Operations Research
Number E4511
Section 001
Division School of Engineering and Applied Science: Graduate
Campus Morningside
Section key 20221IEOR4511E001

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SIS update 06/25/22 08:03    web update 06/25/22 17:34