Analytics on the Cloud
10:10am–12:40pm
SEELEY W. MUDD BUILDING MUD 303
Morningside
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
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
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n=1, 2026
Aggregated across every course Hardeep Johar has taught.
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Where it meets
Flat map — motion reduced
Workload and grading
- Grading
- Not published
- Format
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- Credits
- 3 credits
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