IE 531

Spring 2017 Part of Term 1

Part of Term 1
Jan 17-May 3

Credit: 4 hours.

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.

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.

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IE 531 class schedule data for spring 2017
CRN Type Section Time Day Location Instructor Section Details
65476
Lecture
AD
3:30PM -4:50PM
TR
Davenport Hall
Sreenivas, R
Part of Term:
1
Date Range:
01/17/17-05/03/17
Credit:
4 hours
Restriction(s):
Restricted to Graduate - Urbana-Champaign.
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