Carnegie Mellon University

MSCF Probability Prep

Course Number: MSCF Prep

Concentration: Statistics / Data Science
Semester(s): Fall
Required/Elective: Required
Prerequisite(s): None

The objective of this course is to introduce the basic ideas and methods of calculus-based probability theory and to provide a solid foundation for other MSCF courses based on probability theory. Topics include basic results on probability and conditional probability, random variables and their distributions, expected values, moment generating functions, multivariate distributions, transformations of random variables and vectors, laws of large numbers and the central limit theorem.