MATH 4710 — Basic Probability
General Information
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.
Full Cornell course description (FA26)
Credits: 4
Prerequisites and Enrollment
Prerequisites: MATH 1110 and MATH 1120; or equivalents.
Enrollment: Recommended prerequisites: MATH 1920 or MATH 2220 or equivalent.
Forbidden overlaps: ECON 3110, ECON 3130, ILRST 3080, ILRST 3110, MATH 4710, STSCI 3080, STSCI 3110
Recorded Offerings
| Semester | Listed instructors | Course details |
|---|---|---|
| Fall 2026 | Lionel Levine | Roster / syllabus |
| Spring 2026 | Lionel Levine | Roster / syllabus |
Workload and General Advice
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Course information checked against Cornell’s Spring and Fall 2026 rosters on September 18, 2026. The listed semesters are verified examples, not a complete offering history.