Delves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.
Covers p-quantile, normal approximation, joint distributions, and exponential families in probability and statistics.
Covers Monte-Carlo integration, simulation, and transforming draws from different distributions.
Introduces the basics of risk analysis and management in civil engineering, covering distributions, statistical reminders, and mathematical interpretation techniques.
Covers random variables, expectation, and distributions in probability spaces.
