Spring 2025 Industrial Engineering and Operations Research E4102 section 001

STOCHASTIC MODELING FOR MSE

STOCHASTIC MODELING FOR M

Call Number 14609
Day & Time
Location
MW 2:40pm-3:55pm
To be announced
Points 3
Grading Mode Standard
Approvals Required None
Instructor Antonius B Dieker
Type LECTURE
Method of Instruction In-Person
Course Description

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.

Web Site Vergil
Department Industrial Engineering and Operations Research
Enrollment 57 students (100 max) as of 6:06PM Thursday, January 2, 2025
Subject Industrial Engineering and Operations Research
Number E4102
Section 001
Division School of Engineering and Applied Science: Graduate
Open To Engineering:Graduate
Section key 20251IEOR4102E001