M 394C Stochastic Processes I  (54510)

meets with CSE 394 66235


Thaleia Zariphopoulou

MW 2 – 3:30pm

RLM 11.176


Course Description: In this class the following topics will be covered:                                                                                       Part I

o   Ito integral and stochastic calculus

o   Stochastic Differential Equations (SDE)

o   SDE and linear partial differential equations

o   Applications to boundary value problems

o   Applications to optimal stopping

o   Introduction to filtering

•      Part II

o   Stochastic control of controlled diffusion processes

o   The Hamilton-Jacobi-Bellman equation

o   Viscosity solutions

o   Introduction to risk sensitive control

o   Introduction to singular stochastic control

o   Applications in Mathematical Finance and other areas will be also presented.


BACKGROUND: The course will build on material covered in Probability I and  Probability II.  While these courses are not prerequisites, familiarity with their content is strongly recommended. The students must have taken an advanced course of Real Analysis and/or Probability Theor