STATS 117
Introduction to Probability Theory
Introduction to probability theory, including probability axioms, conditional probability, independence, random variables, and expectation. Joint, marginal, and conditional distributions. Discrete models (binomial, hypergeometric, Poisson) and continuous models (normal, exponential). Prerequisites: MATH 21 or AP Calculus BC.
Autumn 2026
Readings
- Introduction to Probability
- A First Course in Probability
Autumn 2026
Topics
- Counting and sets
- Axioms of probability
- Independence and conditional probability
- Random variables
- Joint distributions and multiple random variables
- Continuous random variables
Sources
- Course catalogue ↗2026-2027
- Official public course page or syllabus ↗Autumn 2026
- Official public course page or syllabus ↗Autumn 2026