CME 298
Probability and Stochastic Differential Equations for Applications (MATH 158)
Calculus of random variables and their distributions with applications. Review of limit theorems of probability and their application to statistical estimation and basic Monte Carlo methods. Introduction to Markov chains, random walks, Brownian motion and basic stochastic differential equations with some applications in science and/or engineering.
Sources
- Course catalogue ↗2026-2027