Isenberg School of Management 788 - Stochastic Models

Modeling and solution of decision problems under uncertainty. Topics include stochastic dynamic programming (Markov decision processes), covering both finite and infinite horizon problems; and stochastic linear/integer programming. Several computational techniques and applications are presented.

Open to graduate and PhD students in the Isenberg School of Management and MS in Engineering Management students.