INSTRUCTOR: PIERO BARALDI
LECTURE SLIDES
Lecture 2 – Interpretation of Probability in Reliability and Risk Analysis
Lecture 4 – Continuous Probability Distribution
Lecture 7 – Markov Chain Discrete Time
Lecture 8 – Markov Chain Continuous Time
Lecture 11 – Parameter Estimation
Lecture 12 – Estimation of components failure rates from statistical data: Bayesian approach
Lecture 13 – Maintenance Basic Concepts
Lecture 16 – Fault Tree Analysis
Lecture 17 – Event Tree Analysis
Lecture 18 – Dependent Failures
Lecture 20 – Importance Measures
EXERCISE SESSIONS
Exercise 2 – Availability, Maintainability and Reliability
Exercise 5 – Estimation of components failure rates from statistical data: A Bayesian approach
Exercise 6a – Bayesian Network Theory
Exercise 6b – Bayesian Network Exercises & Solutions
Exercise 6c – Bayesian Network Applications
EXAM PREPARATION
Topics & Material To be Studied
FLIPPED CLASS
ADDITIONAL MATERIAL
Exercise 1 – Additional Problems
LECTURE RECORDINGS
Lecture Recording 17/04/26 (Monte Carlo Exercise Session)
Lecture Recording 05/06/26 – Part I
Lecture Recording 05/06/26 – Part II
Lecture 4 – Continuous Probability Distribution (Video Link)