IE 531 - Algorithms for Data Analytics

Fall 2022

TitleRubricSectionCRNTypeHoursTimesDaysLocationInstructor
Algorithms for Data AnalyticsIE531A70691ONL4 -    Ramavarapu S Sreenivas
Algorithms for Data AnalyticsIE531ONL77659ONL4 -    Ramavarapu S Sreenivas

Documents

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.