IE 532

Fall 2019 All Classes

All Classes

Credit: 4 hours.

This course will focus on statistical aspects analyzing network data. It will review illustrative problems relating to aggregation of information, decision-making, and inference tasks over various graphical models and networks.

4 graduate hours. No professional credit. Prerequisite: MATH 412. 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 532 class schedule data for fall 2019
CRN Type Section Time Day Location Instructor Section Details
68237
Lecture-Discussion
AN
2:00PM -3:20PM
TR
29 Psychology Building
Vogiatzis, C
Part of Term:
1
Date Range:
08/26/19-12/11/19
Restriction(s):
Restricted to Graduate - Urbana-Champaign.
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