| |
Nov 29, 2024
|
|
|
|
|
ME 777 - Monte Carlo MethodsCredits: 3
The objective of this course is to explore various methods of Monte Carlo for solving direct and inverse problems in engineering. The course covers probability distributions; laws of large numbers and Central Limit Theorem; pseudorandom number generation; sampling, scoring, and precision; variance reduction procedures; Markov chain Monte Carlo; inverse Monte Carlo; solution of linear operator equations; particle transport simulation.
Requisites:
Prerequisite: Math 340 or equivalent and knowledge of a programming language.
Typically Offered
Spring-Even Years
KSIS Course Search
Add to Portfolio (opens a new window)
|
|
