MATH 411A - Probability Theory

Description:
Principal topics include: combinatorial theory, conditional probability, random variables, expectation and moments, generating functions, various discrete and continuous distributions, law of large numbers, central limit theorem.

Prerequisites:
Prerequisite: MATH 273 with a grade of C or higher.

Credits: (4)

Learner Outcomes:
Upon successful completion of this course, the student will be able to:

Solve problems involving basic combinatorics.
Use the axioms of probability.
Compute conditional probabilities and use them to examine independence of events.
Describe and use discrete and continuous random variables and their distributions, including multivariate and marginal and conditional distributions.
Compute and use expectations of random variables, moments, moment generating functions, and conditional expectations.

Learner Outcomes Approval Date:
12/20/07

Anticipated Course Offering Terms and Locations: