Fall 2024 Industrial Engineering and Operations Research E4526 section 001

ANALYTICS ON THE CLOUD

Call Number 14597
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 30 students (60 max) as of 9:14PM Wednesday, November 20, 2024
Subject Industrial Engineering and Operations Research
Number E4526
Section 001
Division School of Engineering and Applied Science: Graduate
Open To Engineering:Undergraduate, Engineering:Graduate
Section key 20243IEOR4526E001