ISyE 719: Stochastic Programming

• Catalog Description:
  Stochastic programming is concerned with decision making in the presence of uncertainty, where the eventual outcome depends on a future random event. Topics include modeling uncertainty in optimization problems, risk measures, stochastic programming algorithms, approximation and sampling methods, and applications.
• Credits: 3
• Prerequisites or Corequisites: Comp Sci 525; Math 431 or Stat 311; or cons inst
• Official Course Description (pdf)

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