MATH 647 - Probability Models

4 Credit(s) | Lecture | Graded
Not repeatable for credit

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

Instructor consent required for enrollment

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