Studies axioms, counting formulas, conditional probability, independence, random variables, continuous and discrete distribution, expectation, moment generating functions, law of large numbers, ...

This course aims to introduce students to the classical areas of applied probability theory through a selection of fundamental models. Topics include queueing theory, risk theory, population models ...