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, and joint distribution functions. Additional topics may include: Poisson processes, Markov chains, and Monte Carlo methods.

Credits: 1.00
Corequisite: None
Prerequisites: (MATH 162 or MATH 112) and (MATH 163 or MATH 113) (MATH 163 may be taken concurrently)
Major/Minor Restrictions: None
Class Restriction: None
Area of Inquiry: Natural Sciences & Mathematics
Liberal Arts CORE: None

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