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CS 660 Data Analysis at Scale 3.0 Credits

Focuses on systems and algorithms for scalable processing of large complex datasets. Consists of four thematic units: data preparation, including data cleaning and integration; distributed computation on MapReduce and Apache Spark; analysis of graph, network and spatiotemporal data; and analysis of streaming data.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: (CS 520 [Min Grade: C] or CS 502 [Min Grade: C]) and (CS 570 [Min Grade: C] or CS 501 [Min Grade: C]) and (CS 571 [Min Grade: C] or CS 503 [Min Grade: C]) and CS 504 [Min Grade: C]

Peace Engineering

http://catalog.drexel.edu/graduate/collegeofengineering/peaceengineering/

...EGMT 660 Software Development : CS 502 CS 575 , CS 576 Machine Learning and AI : CS...

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