UW Madison Home Page

I SY E 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: Comp Sci 525; Math 431 or Stat 311; or cons inst
  • Official Course Description (pdf)

    Moodle and D2L are being retired. Already, many Engineering courses are in Canvas rather than Moodle. Rather than using the Moodle links below, it is recommended that you use the Learn@UW site (learnuw.wisc.edu) to gain access to all of the LSM choices available to campus.