MATH 4710
Basic Probability
An introduction to probability theory that prepares the student to take MATH 4720. The course begins with basics: combinatorial probability, mean and variance, independence, conditional probability, and Bayes formula. Density and distribution functions and their properties are introduced. The law of large numbers and central limit theorem are stated and their implications for statistics are discussed.
spring 2026, fall 2026
Readings
- Anderson, Seppalainen, and Valko, Introduction to Probability, Cambridge University Press, 2017 (ISBN: 978-1-108-41585-9).
Prerequisites & course information
MATH 1110 and MATH 1120; or equivalents.
Sources
- Course catalogue ↗2026-2027
- Catalogue entry ↗
- Catalogue entry ↗
- Official public course syllabus or department reading list ↗spring 2026, fall 2026
Catalogue variants
- Basic Probability · 4.0 · Undergraduate