Hands-On Simulation Modeling with Python

Table of Contents

1. Introducing Simulation Models
2. Understanding Randomness and Random Numbers
3. Probability and Data Generating Processes
4. Exploring Monte Carlo Simulations
5. Simulation-Based Markov Decision Process
6. Resampling Methods
7. Using Simulations to Improve and Optimize Systems
8. Using Simulation Models for Financial Engineering
9. Simulating Physical Phenomena Using Neural Networks
10. Modeling and Simulation for Project Management
11. What's Next?