This course introduces students to the fundamentals and axioms of probability. Topics covered include combinatorial probability, conditional probability and independence, probability laws, random variables, expectation, gambler's ruin, Chebyshev's inequality, Laws of Large Numbers, and the Central Limit Theorem. Applications to a variety of fields will be emphasized.
The course will also monitor The Centre Daily Times and The New York Times for articles which relate to topics in the course. As such articles are found, the class will work through the probabilistic information in the articles so as to relate them to the subject of the course and to our everyday lives and experiences.