Lecture Schedule Math 236, Introduction to Stochastic Differential Equations, Winter 2022

Week Subjects
1 Review of Brownian motion and martingales. Reading: First two Chapters in Oksendal.
2 Stochastic integrals, Ito's formula Reading: Chapters 3 and 4.
3 Ito SDEs. Reading: Chapter 5.
4 Markov property, SDE and PDE. Reading: Notes.
5 Ito diffusions and PDE. Feynman-Kac formula. Stopping times and boundary value problems. Reading: Notes.
6 Ito diffusions and PDE. Feynman-Kac formula. Stopping times and boundary value problems. Reading: Notes.
7 The Girsanov transformation and applications to maximum likelihood estimation and importance sampling. Reading: Notes.
8 Introduction to Bayesian filtering. Reading: Notes.
9 More on filtering.
10 Introduction to stochastic control. Reading: Notes.