This is an old revision of the document!


Course information

  • * Title: 'An Introduction to Stochastic Differential Equations'
  • * Instructor: Xiaohui Xie
  • * Meeting information:
  • Regular lecture: TT 3:00-4:20 * Meeting place: ICS 213

Prerequisites

* multivariate calculus, linear algebra, elementary differential equations (at the level of Math 3D at UCI), and (helpful to know) some elementary probability

Course Description

Tentative topics:

  • * Markov Chains and Linear Difference Equations
  • * Continuous Time Markov Processes
  • * Poisson Counters and Differential Equations
  • * Wiener Processes and Differential Equations
  • * Ito's calculus and Ito Formula
  • * Diffusion, Fokker-Planck Equations
  • * Probability space, Foundation of stochastic processes
  • * Conditional Expectation, Martingales
  • * Markov Properties, Feymann-Kac Theorem, Kolmogorov backward equation
  • * Application to stochastic control
  • * Application to filtering problems
  • * Application to population genetics

Lecture notes

Textbook

* Stochastic Differential Equations: An Introduction with Applications by Bernt Øksendal

Homework

Exam

* [https://eee.uci.edu/14s/35340/home/final14.pdf Final Exam] Due date: 06/10 (Tues) before 5pm.

[[scribeinfo | Preparing scribe notes]]

You are here: startteachingcs285s14