STAT/MATH 418, Section 002, Fall 2019

    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: Tue/Thu, 1:35 - 2:50 p.m., Chemistry Bldg. 102
    • Office Hours: Tue/Thu, 3:00 - 3:30 p.m.
    • Office: 311 Thomas Building
    • E-mail:

  • Likun Zhang, Teaching Assistant
    • Office Hours: Monday, 3-5 p.m.
    • Office: 331B Thomas Building
    • E-mail: lfz5044

Course Information



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