Learning

Foundations of Probability and Random Variables

Set Theory Basics → Joint Distributions and Covariance

A systematic introduction to probability theory for university students, covering probability spaces, counting, conditional probability, independence, Bayes' theorem, random variables, distributions, expectation, and variance. The path emphasizes conceptual understanding and practical application to uncertain events and random phenomena.