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Spring 2022 Industrial Engineering and Operations Research E4526 section 001
ANALYTICS ON THE CLOUD

Call Number 12682
Day & Time
Location
M 8:40am-11:10am
303 Seeley W. Mudd Building
Points 3
Grading Mode Standard
Approvals Required None
Instructor Hardeep Johar
Type LECTURE
Method of Instruction In-Person
Course Description To introduce students to programming issues around working with clouds for data analytics. Class will learn how to work with infrastructure of cloud platforms, and discussion about distributed computing, focus of course is on programming. Topics covered include MapReduce, parallelism, rewriting of algorithms (statistical, OR, and machine learning) for the cloud, and basics of porting applications so that they run on the cloud.
Web Site Vergil
Department Industrial Engineering and Operations Research
Enrollment 68 students (73 max) as of 8:03AM Saturday, June 25, 2022
Subject Industrial Engineering and Operations Research
Number E4526
Section 001
Division School of Engineering and Applied Science: Graduate
Campus Morningside
Section key 20221IEOR4526E001

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