MONTE CARLO SIMULATION

NPRE 498MC

Dr. M. Ragheb

Spring 2023

• Course Information: NPRE 498MC
• Department: Nuclear, Plasma and Radiological Engineering
• Recommended: Textbook  
• Credit: 3 credit hours, undergraduates,
•            4 credit hours, 1 unit for graduate students; with extra term project or paper.

Professor

• Taught by: Professor M. Ragheb, Ph. D.

• Teaching Evaluations: 

1. Incomplete List of Teachers Ranked as Excellent by Their Students 1998
2. Incomplete List of Teachers Ranked as Excellent by Their Students 2000
3. Advisor's list 2003.

Assignments and Teaching Assistants

        Assignments will account for 40 percent of the final grade.

• Assignments  Policy and Guidelines
• List of assignments
• Teaching Assistants Information
• Short Course Outline
• Detailed Course Outline

Tests

Two midterm tests and one final test are scheduled.

Each will account for 20 percent of the final grade for a total of 60 percent of the final grade.

Calendar for Fall Semester, 2022  

Room 225A, Talbot Laboratory

2:00-3:00 pm, MWF

Textbook Manuscript © M. Ragheb Intellectual Property IP Protection https://www.bbc.com/news/world-us-canada-64197625 https://www.bbc.com/news/entertainment-arts-59893035   MONTE CARLO SIMULATION Science and Engineering Applications © M. Ragheb    Preface 1. Overview 2. The Buffon Needle Problem: First Monte Carlo Simulation 3. Direct Simulation or Analog Monte Carlo 4. Random Numbers Generation 5. Mathematical Simulation Monte Carlo 6. Potential Theory and Heat Conduction Dirichlet's Problem 7. Mixed Boundary Value Problems 8. Elliptical Partial Differential Equations with Internal Sources 9. Time Dependent Diffusion by Monte Carlo 10. Dynamical Monte Carlo Simulations 11. Monte Carlo Risk and Decision Analysis 12. Sampling Methods 13. Sampling Special Distributions 14. Error Estimation Procedures for Monte Carlo Computations 15. Monte Carlo Variance Reduction Methods 16. Position Dependent and Angular Source Biasing 17. Russian Roulette and Particle Splitting 18. Transport Theory 19. Mathematical Formulation of Particle Transport in Monte Carlo Theory 20. Slowing Down in Hydrogen, or Particle Transmission through a Slab Shield 21. Estimation Methods in Monte Carlo Particle Transport Simulations 22. Statistical Weighting Methods: Treatment of Source, Criticality and External  Source Driven Multiplying Systems 23. Monte Carlo Simulation of Fluid Flow 24. Minimum Variance Importance Sampling with Parametric Dependence 25. Variational Stationary Functionals in Monte Carlo Computations References APPENDICES:  I.  Monte Carlo Simulation of Multigroup Neutron Transport in a Homogeneous Shield code homogeneous_shield. f90 II. Input data for Multigroup Neutron Transport in a Homogeneous Shield code input_data.txt III. Monte Carlo Simulation of One-group Neutron Transport in a Finite Medium code with Russian Roulette isotropic_source_finite.f90

Please contact Prof. M. Ragheb as a Webmaster at: (217)333-6569 or (217)333-5187 with any feedback concerning this page.

Last update for this page was on 12/19/2022.