The Monte Carlo method is a computer simulation method using random numbers and statistical probabilities to explore systems that are too complicated to solve through analytical means.

Prerequisites:

• Knowledge of probability theory up to conditional probability,
• Knowledge of basic statistics,
• Understanding of random walk,
• Awareness of need for good random number generators Knowledge of matrices used as transformations.

Objectives:

• Describe the basic concepts of the method,
• Confirm the validity of the method through application to well-known situations such as finding the value of pi,
• Name some of the wide range of fields the method can be applied to in order to see (numerically) how to describe the situation.

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