Thursday, May 28, 2009

Course: analyzing messy human data


Simon Hsiang, a collaborator, is teaching an interesting course on optimizing and analyzing messy human-generated data.






I am offering ISE794 next semester.  It is a course on how to find a satisficing solution based on ambiguous human opinions, uncertain situations, and unreliable data. The syllabus is attached, and I will have the lecture notes ready for review.  I call it the "touchy-feely" optimization, though the official course title is risk assessment. 


At any rate, could you pass the syllabus to your students with similar research interest?


Thank you


Simon M. Hsiang, PhD PE CPE

Associate Professor


Department of Industrial and System Engineering

446 Daniels Hall

111 Lampe Drive

Raleigh, NC 27695-7906

Phone (919) 513-7208



Benjamin Watson
Design Graphics Lab
Associate Professor
Dept. Computer Science
North Carolina State University
EBII 2280, 890 Oval Dr, Box 8206
Raleigh, NC 27695-8206
Phone: 919-513-0325
Fax: 919-515-7896
Lab: 919-513-0847

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