IE 531

Spring 2018 All Classes

All Classes

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 2018
CRN Type Section Time Day Location Instructor Section Details
65476
Lecture
AD
3:30PM -4:50PM
TR
Transportation Building
Sreenivas, R
Part of Term:
1
Date Range:
01/16/18-05/02/18
Credit:
4 hours
Restriction(s):
Restricted to Graduate - Urbana-Champaign.
67012
Online
B
ARRANGED
n.a.
n.a.
Sreenivas, R
Part of Term:
1
Date Range:
01/16/18-05/02/18
Credit:
4 hours
Restriction(s):
Restricted to MS: Civil Engr - Online - UIUC, MCS:Computer Sci Online -UIUC, MS:Industrial Engr Online-UIUC, MS:Mechanical Engineerng -UIUC, MS: Aerospace Engr-Online-UIUC, NDEG:Grad Nondegree-CE-UIUC, or MENG:Mech Engineering Onl-UIUC.
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