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IE 531 - Algorithms for Data Analytics

Spring 2021

Official Description

This course will introduce the student to a set of algorithms for data analytics which include: hashing, indexes, caching; algorithms for structured datasets; streaming data modes; PageRank algorithms for market-basket models; clustering algorithms; and case studies. Course Information: 4 graduate hours. No professional credit. Prerequisite: IE 411, CS 225. ISE graduate students and students enrolled in the Master of Science in Advanced Analytics (MCAA) are eligible to take the course.

Related Faculty

Documents

TitleSectionCRNTypeHoursTimesDaysLocationInstructor
Algorithms for Data AnalyticsAD65476OLC41530 - 1650 T R    Ramavarapu S Sreenivas
Algorithms for Data AnalyticsB67012ONL4 -    Ramavarapu S Sreenivas