CSCI 168E - Big Data Analytics

Prerequisite: MATH 75 and CSCI 115
Corequisite: CSCI 164 or permission of instructor
Introduction to data mining and knowledge discovery process, big data fundamentals, Map-Reduce: Map and Reduce procedures, dimensionality reduction: Singular Value Decomposition and low-rank approximation, frequent itemsets and association rules, recommender systems: similarity search, spam detection, and mining data streams. (Formerly CSCI 191T)

Weekly Lecture Hours: 2
Weekly Lab/Activity Hours: 2
Units: 3

Course Typically Offered: Fall