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IRM 4004 [0.5 credit] Applied Big Data

Introduction to Big Data and Artificial Intelligence. Topics include: Association Rule Mining, Classification, Clustering, Linear and Logistic Regression, Hadoop Distributed File System, Spark, Batch and Stream Data Processing, and other related. Applications on other domains such as multimedia, networks, finance, and/or business.
Includes: Experiential Learning Activity
Prerequisite(s): IRM 3006.
Lectures three hours a week.