Probability Models
Course #: MATH 447
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.
Pre Requisites: Pre-Req: MATH 345
Offered in:
2024 Fall
| Section | Class Number | Schedule/Time | Instructor | Location | |
|---|---|---|---|---|---|
| 01 | 3126 | MW 2:00 - 3:15 pm |
Vuletic,Mirjana | McCormack M02-0208 | |
|
Session:
Regular
Class Dates:
09/03/2024 - 12/13/2024
Capacity:
25
Enrolled:
8
Status:
Open
Credits:
3/3
Class Notes:
Pre Requisites:
Pre-Req: MATH 345
Course Attributes:
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