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Apprentice Mode
10 Modules / ~100 pages
Wizard Mode
~25 Modules / ~400 pages

Computational Methods for Nuclear Reactor Analysis
( 30 Modules )

Module #1
Introduction to Nuclear Reactor Analysis
Overview of nuclear reactor design, operation, and safety; importance of computational methods in reactor analysis
Module #2
Mathematical Background for Reactor Analysis
Review of linear algebra, differential equations, and numerical methods
Module #3
Neutron Transport Theory
Introduction to neutron transport theory, Boltzmann equation, and transport cross-sections
Module #4
Discretization Methods for Neutron Transport
Finite difference, finite element, and nodal methods for solving neutron transport equation
Module #5
Numerical Methods for Neutron Transport
Introduction to numerical methods for solving neutron transport equation, including iterative methods and acceleration techniques
Module #6
Deterministic Methods for Neutron Transport
Solving neutron transport equation using deterministic methods, including discrete ordinates and characteristics methods
Module #7
Monte Carlo Methods for Neutron Transport
Introduction to Monte Carlo methods for solving neutron transport equation, including random walk and importance sampling
Module #8
Reactor Kinetics and Dynamics
Introduction to reactor kinetics and dynamics, including point and space-time kinetics
Module #9
Numerical Methods for Reactor Kinetics
Numerical methods for solving reactor kinetics equations, including finite difference and numerical integration
Module #10
Reactor Core Analysis
Introduction to reactor core analysis, including fuel management and core design
Module #11
Computational Tools for Reactor Analysis
Overview of computational tools and software for reactor analysis, including OpenMC and Serpent
Module #12
Validation and Verification of Reactor Analysis Codes
Importance of validation and verification of reactor analysis codes, and methods for V&V
Module #13
Uncertainty Quantification in Reactor Analysis
Introduction to uncertainty quantification in reactor analysis, including sensitivity analysis and Monte Carlo methods
Module #14
Multi-Physics Coupling in Reactor Analysis
Introduction to multi-physics coupling in reactor analysis, including thermal-hydraulics and neutron transport
Module #15
Computational Fluid Dynamics for Reactor Analysis
Introduction to computational fluid dynamics for reactor analysis, including CFD codes and mesh generation
Module #16
Radiation Transport and Shielding
Introduction to radiation transport and shielding, including radiation protection and dosimetry
Module #17
Advanced Topics in Reactor Analysis
Advanced topics in reactor analysis, including reactor safety analysis and accident simulation
Module #18
Best Practices in Reactor Analysis
Best practices in reactor analysis, including code development, verification, and validation
Module #19
Reactor Analysis Applications
Applications of reactor analysis, including reactor design, operation, and safety assessment
Module #20
Future Directions in Reactor Analysis
Future directions in reactor analysis, including advanced reactor designs and computational methods
Module #21
Reactor Analysis for Advanced Reactors
Reactor analysis for advanced reactors, including small modular reactors and Generation IV reactors
Module #22
Reactor Analysis for Nuclear Waste Management
Reactor analysis for nuclear waste management, including waste storage and disposal
Module #23
Reactor Analysis for Nuclear Security
Reactor analysis for nuclear security, including reactor safeguarding and non-proliferation
Module #24
Computational Methods for Reactor Transient Analysis
Computational methods for reactor transient analysis, including time-dependent neutron transport and thermal-hydraulics
Module #25
Uncertainty Quantification in Reactor Transient Analysis
Uncertainty quantification in reactor transient analysis, including sensitivity analysis and Bayesian methods
Module #26
Advanced Computational Methods for Reactor Analysis
Advanced computational methods for reactor analysis, including artificial intelligence and machine learning
Module #27
High-Performance Computing for Reactor Analysis
High-performance computing for reactor analysis, including parallel computing and GPU acceleration
Module #28
Reactor Analysis for Nuclear Fusion
Reactor analysis for nuclear fusion, including magnetohydrodynamics and plasma physics
Module #29
Reactor Analysis for Space Applications
Reactor analysis for space applications, including space reactors and nuclear propulsion
Module #30
Course Wrap-Up & Conclusion
Planning next steps in Computational Methods for Nuclear Reactor Analysis career


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