CRS-0203-01-001
Foundations of Probability
activeintroductory
Introduces sample spaces, axioms, conditional probability, and Bayes' theorem.
Subject
Mathematical foundations of randomness and uncertainty.
Canonical ID: urn:taxonomy:cip-aligned:subject:0203-01
Also known as: Probability Theory
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Introduces sample spaces, axioms, conditional probability, and Bayes' theorem.
Covers random variables, distributions, expectation, and variance.
Rigorous probability including measure-theoretic foundations and limit theorems.
Applies probability to queues, reliability, and stochastic processes.
Advanced probability including martingales, Brownian motion, and stochastic calculus.