STAT/MATH 414, Sections 002 and 004

    Introduction to Probability Theory


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 a variety of fields will be explored.
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.

Contact Information

  • Donald Richards, Instructor
    • Section 002: Tu Th 9:05 - 10:20 a.m., Mueller Lab 008
    • Section 004: Tu Th 1:35 - 2:50 p.m., Osmond Lab 106
    • Office Hours: Tu Th 3:00 - 4:00 p.m., or by appointment
    • Office: 311 Thomas Building
    • E-mail:

  • Ilias Moysidis, Teaching Assistant
    • Office Hours: By appointment
    • Office: 301 Thomas Building
    • E-mail: ium19

  • Sanam Sanei, Teaching Assistant
    • Office Hours: By appointment
    • Office: 301 Thomas Building
    • E-mail: szs436

Course Information



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