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Introduction to Probability Theory
JUNE 22, 2026 — AUGUST 13, 2026
STATS117
Details:
Time: No Topic - No Type
Units: 3
Class Number: 11559
Interest Area: Math and Data Science
Population: Graduate
Interest Area: Math and Data Science
Course Format & Length: In Person, 8 Weeks
Pre-requisites:
Pre-requisites
We expect visiting students to have knowledge that is equivalent to the listed Stanford pre-requisite course.
MATH 21 or AP Calculus BC.
Cross Listing: -
Grading Basis: Letter or Credit/No Credit
Description:
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).
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