Lesson 3: Monte Carlo, Parameter Studies, and Performance
Lesson Overview
Develop practical capability in monte carlo, parameter studies, and performance as part of the Virtual Scientific Simulation Development with MATLAB learning path.
Topics Covered
Random-number generation and probability models
Monte Carlo simulation
Parameter sweeps and sensitivity analysis
Parallel and batch simulation concepts
Data logging and simulation result management
Performance profiling
Practical Activity
Build a guided MATLAB exercise covering random-number generation and probability models.
Apply monte carlo simulation to a practical engineering or data scenario.
Validate results and troubleshoot an issue involving performance profiling.
Key Takeaways
Explain and apply random-number generation and probability models.
Use parameter sweeps and sensitivity analysis in a structured workflow.
Validate outputs with plots, metrics, tests, or simulation evidence.
