2025-2026 University Catalog
|
MATH 316 - Probability
An introduction to the basic concepts of discrete and continuous probability: axioms and properties of probability, standard counting techniques, conditional probability, important random variables and their discrete and continuous distributions, expectation, variance, moment generating functions, transformations, and joint distribution functions. Additional topics may include: Markov chains and Monte Carlo methods.
Credits: 1.00
When Offered: Fall semester only
Corequisite: None
Prerequisites: and
Major/Minor Restrictions: None
Class Restriction: None
Area of Inquiry: Natural Sciences & Mathematics
Liberal Arts Practices: Quantitative and Algorithmic Reasoning
Core Component: None
Click here for Course Offerings by term
|
