CS 677 - Big Data

Unit(s): 4

This course examines the algorithmic and systems challenges associated with big data. Topics include storage frameworks (key-value, in-memory, wide-column), scalable computing paradigms (MapReduce, Spark, stream processing), and analysis techniques (sentiment analysis, predictive modeling).

Prerequisite: CS 601 with a minimum grade of B- and (CS 673 with a minimum grade of B- or CS 603 with a minimum grade of B-)
Restriction: Level Restricted to Graduate
College of Arts and Sciences