Search Results

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

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

  • Schedule of Classes
  • All Course Descriptions
  • Co-op
  • Academic Advising
  • Admissions
  • Tuition & Fees