Mathematics 339SP - Stochastic Processes
Spring
2017
01
4.00
Timothy Chumley
TTH 01:15PM-02:30PM;F 01:15PM-02:05PM
Mount Holyoke College
98729
Clapp Laboratory 218;Clapp Laboratory 218
tchumley@mtholyoke.edu
99347,98729
A stochastic process is a collection of random variables. For example, the daily prices of a particular stock are a stochastic process. Topics of this course will include Markov chains, queueing theory, the Poisson process, and Brownian motion. In addition to theory, the course will investigate applications of stochastic processes, including models of call centers and models of stock prices. Simulations of stochastic processes will also be used to compare with the theory.
Prereq: MATH-211 and MATH-342.