Introduces the basics of risk analysis and management in civil engineering, covering distributions, statistical reminders, and mathematical interpretation techniques.
Covers continuous random variables, probability density functions, and distributions, with practical examples.
Introduces key statistical concepts like probability, random variables, and correlation, with examples and explanations.
Covers an example of Bayesian parameter estimation and the trade-off between bias and variance in supervised learning.
Introduces the chi-squared test for hypothesis testing against theoretical distributions, showcasing its application with dice fairness testing.
