Probability

MATHEMATICS AND STATISTICS 493

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. permission of the instructor. Prerequisites: Math 233. Math 310 is recommended but not required.
Course Attributes: FA NSM; AR NSM; AS NSM

Section 01

Probability
INSTRUCTOR: Jha
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Section 02

Probability
INSTRUCTOR: Xie
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Section 41

Probability
INSTRUCTOR: Xie
View Course Listing - FL2022
View Course Listing - SP2022
View Course Listing - SP2023
View Course Listing - SU2023
View Course Listing - FL2023