STAT/MATH 418, Sections 001 and 002, Spring 2018

    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

  • Elena Hadjicosta, Instructor
    • Section 001: Mon/Wed/Fri 2:30 - 3:20 p.m., 107 Wartik Bldg.
    • Office Hours: Mon/Fri 3:30-4:30 p.m.
    • Office: 418 Thomas Building

  • Donald Richards, Instructor
    • Section 002: Tue/Thu 1:35 - 2:50 p.m., 220 Hammond Bldg.
    • Office Hours: Tue/Thu 3:00-4:00 p.m., or by appointment
    • Office: 311 Thomas Building

  • Aniruddha Rajendra Rao, Teaching Assistant
    • Office Hours: By appointment
    • Office: 301 Thomas Building

Course Information



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