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, the Central
Limit Theorem, and stochastic processes. Applications to engineering fields will be emphasized.
During the course, we will monitor the
New York Times and
Centre Daily Times newspapers
for articles involving probability and stochastic processes. We will study the probabilistic
information in such articles and relate them to the course and to everyday life.