Probabilistic Analysis

Course Description

Concepts and tools for the analysis of problems under uncertainty, focusing on structuring, model building, and analysis. Examples from legal, social, medical, and physical problems. Topics include axioms of probability, probability trees, random variables, distributions, conditioning, expectation, change of variables, and limit theorems. Prerequisite: multivariable calculus and some linear algebra.


Multivariable calculus and some linear algebra

Syllabus Link

None available.
Group 3GroupGroup 2