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Mathematics Courses


Mathematics And Statistics 493 - Fall 2019

Mathematical theory and application of probability at the advanced undergraduate level; a calculus based introduction to probability theory. Topics include the computational basics of probability theory, combinatorial methods, conditional probability including Bayes Theorem, random variables and distributions, expectations and moments, the classical distributions, and the central limit theorem. Section 2 is specifically for students who enrolled in Math 3200 sections 3 and 4 in Spring 2018. Prereq: Math 233. Math 318 or Math 308 is recommended.
Course Attributes: FA NSMAR NSMAS NSM

Section 01

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