MATH 447 - Probability Models

3 Credit(s) | Lecture | Graded or pass/fail
Course can be counted for credit once

Description:
This is an undergraduate course on probability models with a strong emphasis on stochastic processes. The aim is to enable students to approach realworld phenomena probabilistically and build effective models. Topics include probability spaces, random variables, conditional probability, Markov chains, Poisson processes, Brownian motion, probabilistic simulations.

Enrollment Requirements:
Prerequisite: MATH 345

039218:1