Courses

Spring 2023

STOCHASTIC MODELING FOR MSE

, 3 pts, E4102

STOCHASTIC MODELING FOR M

Introduction to stochastic processes and models, with emphasis on applications to engineering and management; random walks, gambler’s ruin problem, Markov chains in both discrete and continuous time, Poisson processes, renewal processes, stopping times, Wald’s equation, binomial lattice model for pricing risky assets, simple option pricing; simulation of simple stochastic processes, Brownian motion, and geometric Brownian motion. A specialized version of IEOR E4106 for MSE students.

Section Number
001
Call Number
11243
Day, Time & Location
MW 10:10AM-11:25AM CIN
Instructor
Kaizheng Wang