IEMS 451-0
Stochastic Optimization
Optimization under uncertainty, including modeling and applications; exact optimization methods; deterministic approximation and bounding techniques; and Monte Carlo sampling-based approximations.
Prerequisites & course information
Prerequisites: Graduate students who have completed IEMS 450-1 and IEMS 401-0 .
Sources
- Course catalogue ↗2026–2027