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.
Throughout the semester, we will monitor
The Centre Daily Times
and The New York Times
for articles related to the course. When 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.
Donald Richards, Instructor
Class Time: TR 1:00 - 2:15 p.m., 104 Thomas Building
Office Hours: TR 2:30 - 3:30 p.m., or by appointment
Office: 311 Thomas Building
Natalia Tchetcherina, Teaching Assistant
Office Hours: Wednesday 12:00 - 1:00 p.m., or by appointment