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Statistics, and real analysis at the undergraduate engineering or mathematics level; graduate level probability and stochastic processes (IEMS 460-1); computer programming in Python; graduate standing ...
Learn how to analyze water reservoir systems under multiple objectives using simulation modeling, stochastic hydrology ... skills (including the ability to apply or learn Python and R programming).
Course in stochastic optimization with an emphasis on formulating, solving, and approximating optimization models under uncertainty. Topics include: Models and applications: extensions of the linear ...
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