MA 43200: Elementary Stochastic Processes

3 Credits

Fall 2024Lecture
Fall 2024 Instructors(1)
Jonathon Peterson
3.34
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An introduction to some classes of stochastic processes that arise in probabilistic models of time-dependent random processes. The main stochastic processes studied will be discrete time Markov chains and Poisson processes. Other possible topics covered may include continuous time Markov chains, renewal processes, queueing networks, and martingales.

Course MA 432 from Purdue University - West Lafayette.

Course Overview

Course GPA

GPA: 3.34
Grade Distribution% of Students
A
B
A: 56%
B: 31%
C: 6%
D: 6%

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Semesters1 semester

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