IE532: Analysis of Network Data in 2017 Fall, UIUC.

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.

Topics

• Cycles and Trees
• Network Flow
• Matching Problems
• Spectral Methods
• Linear Programming
• Online Algorithms

Course Information:

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.

Instructor:

Oh, Sewoong (Primary)