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 E4524 section 001

Call Number 12685
Day & Time
R 7:10pm-9:40pm
833 Seeley W. Mudd Building
Points 3
Grading Mode Standard
Approvals Required None
Instructor Hardeep Johar
Method of Instruction In-Person
Course Description MSOR students only. Groups of students will work on real world projects in analytics, focusing on three aspects: identifying client analytical requirements; assembling, cleaning, and organizing data; identifying and implementing analytical techniques (statistics, OR, machine learning); and delivering results in a client-friendly format. Each project has a well-defined goal, comes with sources of data preidentified, and has been structured so that it can be completed in one semester. Client-facing class with numerous on-site client visits; students should keep Fridays clear for this purpose.
Web Site Vergil
Department Industrial Engineering and Operations Research
Enrollment 101 students (105 max) as of 8:03AM Saturday, June 25, 2022
Subject Industrial Engineering and Operations Research
Number E4524
Section 001
Division School of Engineering and Applied Science: Graduate
Campus Morningside
Note MSBA students only.
Section key 20221IEOR4524E001

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