Introduction to Stochastic Processes
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Overview
Subject area
MTH
Catalog Number
4125
Course Title
Introduction to Stochastic Processes
Department(s)
Description
This course is designed to introduce the undergraduate to the fundamental ideas of stochastic (or random) processes. Such processes are used in the study of mathematical models where there are elements of uncertainty and hence probabilistic quantities are introduced into the model. These models are found in fields such as the analysis of algorithms, the theory of queues, the pricing of stock options, financial mathematics, econometrics, linear programming, and biomathematics. The courses will cover the topics of Markov chains (discrete and continuous time), renewal theory, queuing theory, Brownian motion, and stationary processes. Applications of the various topics will also be discussed.
Typically Offered
Fall, Spring, Summer
Academic Career
Undergraduate
Liberal Arts
Yes
Credits
Minimum Units
4
Maximum Units
4
Academic Progress Units
4
Repeat For Credit
No
Components
Name
Lecture
Hours
4
Requisites
028989