An introduction to Brownian motion, stochastic calculus and stochastic differential equations. Diffusion processes, related partial differential equations and Feynman-Kac formula. Applications to filtering, stochastic control, mathematical finance and other areas of science and engineering.
Prerequisites: PSTAT 213A-B-C (or equivalent first-year graduate course in Probability and Stochastic Processes).