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IRM 4004 [0.5 credit] Big Data Analytics and Applications

Introduction to Big Data. Topics include: big data mining and analysis techniques like Association Rule Mining, Classification, Clustering, Linear Regression, using R, Hadoop, Hadoop Distributed File System, and related technologies. Applications on other domains like networks, finance, and/or business.
Includes: Experiential Learning Activity
Prerequisite(s): IRM 3006.
Lectures three hours a week.