Probability

MATHEMATICS AND STATISTICS 5010

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: Thakur
M-W-F-- 02:00 PM | 0124 023

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Section 02

Probability

INSTRUCTOR: Xie
M-W-F-- 02:00 PM | 0254 250

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Section 21

Probability

INSTRUCTOR: Figueroa-Lopez
MTWTF-- 01:00 PM | 0112 L001

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