ISYE6664: Stochastic Optimization

3 Credits

An introduction to sequential decision making under uncertainty. Much of the course is devoted to the theoretical, modeling, and computational aspects of Markov decision processes.

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GPA: 3.39Most Common: A (40.6%)

This total includes data from semesters with unknown instructors

234 students
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  • Vince Kim

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