STAT/MATH 418, Sections 001 and 003

    Introduction to Probability and Stochastic Processes


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.

Contact Information

  • Donald Richards, Instructor
    • Section 001: MWF 10:10 - 11:00 a.m., Rackley Bldg. 104
    • Section 003: MWF 3:35 - 4:25 p.m., Willard Bldg. 203
    • Office Hours: MW 4:45 - 5:45 p.m., or by appointment
    • Office: 311 Thomas Building
    • E-mail:

  • Nicholas Sterge, Teaching Assistant
    • Office Hours: By appointment
    • Office: 422 Thomas Building
    • E-mail: nzs5368

  • Benjamin Straub, Teaching Assistant
    • Office Hours: By appointment
    • Office: 333 Thomas Building
    • E-mail: bbs5179

Course Information



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