Monte Carlo simulation is a powerful technique for modeling and analyzing complex systems by using random numbers. It's widely used in various fields such as finance, physics, engineering, and computer science. Following topics will be covered:

• Introduction to Monte Carlo Simulation
• Basic Principles
• Steps in Monte Carlo Simulation
• Statistics
  • Probability Distributions
  • Estimation and Sampling
  • Confidence Intervals
• Generating Random Numbers
• Variance Reduction Techniques
• Applications of Monte Carlo Simulation