Probability Models
Course #: MATH 647
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.
Pre Requisites:
Offered in:
2024 Fall
| Section | Class Number | Schedule/Time | Instructor | Location | |
|---|---|---|---|---|---|
| 01 | 3248 | MW 2:00 - 3:15 pm |
Vuletic,Mirjana | McCormack M02-0208 | |
|
Session:
Regular
Class Dates:
09/03/2024 - 12/13/2024
Capacity:
5
Enrolled:
4
Status:
Open
Credits:
4/4
Class Notes:
Pre Requisites:
Course Attributes:
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