This advanced probability course integrates rigorous mathematical theory with practical applications. Students will explore combinatorial analysis, conditional probability, discrete and continuous univariate and multivariate distributions, random variables, moments, covariance, independence, order statistics, and the Central Limit Theorem. The course emphasizes developing quantitative tools for risk assessment applicable across various fields.
| Distribution Area | Prerequisites | Credits |
|---|---|---|
| MATH 152 | 1 course |