Module 16: Benchmark Project

Monte Carlo Methods

Module OVERVIEW (~2hrs)

Module OUTLINE

16.1 Introduction to Monte Carlo Methods

16.2 Monte Carlo for Integral Estimations

16.3 Monte Carlo for Physics Applications

16.4 Coding Challenges

GOAL

To learn how random number generators can be used to get approximate solutions to complex problems

SKILLS YOU WILL LEARN

The principles behind Monte Carlo methods and where they’re used in engineering, math and science
Evaluation of integrals by estimating the area and volume of 2D and 3D curves
How to calculate probabilities in financial problems

Page updated

Report abuse