1. Introduction to probability theory. The axioms of probability theory
2. Descriptive statistics. Numerical and graphical representation
3. Uncertainty modeling. Probability distribution.
4. Uncertainty modeling. Probability density function. Cumulative probability distribution function.
5. Liniar regression analysis. Bayesian probability estimation method
6. Semi-probabilistic methods. Classical reliability analysis
7. First Order Reliability Method (FORM)