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, Chebyshev's inequality, Laws of Large Numbers, and the Central
Limit Theorem. Applications to a variety of fields will be explored.
Throughout the course, we will monitor the
New York Times and
Centre Daily Times newspapers
for articles involving applications of probability. We will study the probabilistic information in
these articles and relate them to the course and to our everyday life and experiences.