MONTE CARLO SIMULATION METHODS: THEORY AND APPLICATIONS TO STOCHASTIC AND UNCERTAIN SYSTEM, STRUCTURES AND COMPONENTS (CFU: 5)

Notes of the course
Lecture 1: Introduction to Monte Carlo Simulation
Lecture 2: Monte Carlo Simulation for reliability and availability analysis in complex systems
Lecture 3: Examples and Exercises on Monte Carlo Simulations; matlab-codes
Lecture 4: Dynamic reliability methods: accidental scenarios simulation and processing (Part 1)
Lecture 5: Markov Chain Monte Carlo for model and parameter identification; Bibliography
Lecture 6: Dynamic reliability methods: accidental scenarios simulation and processing (Part 2)
Lecture 7: Monte Carlo and possibilistic methods for uncertainty analysis
Lecture 8: Possibility Theory – Exercise Session NEW
Lecture 9:
Lecture 10:

Loading