Lecture 1

• General Introduction to the Monte Carlo Technique of Integration

• Statistical Foundations of Monte Carlo

• Hit-or-Miss x Crude Monte Carlo

• Some Reduction of Variance Techniques

• Advantages over Classical Methods

• (Pseudo-) Random Number Generators