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 3200 or 3211) and Math 3200.
Course Attributes: FA NSM; AR NSM; AS NSM

Section 01

Probability

INSTRUCTOR: Xie
M-W-F-- 03:00 PM | 0228 L006

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Section 02

Probability

INSTRUCTOR: Xie
M-W-F-- 04:00 PM | 0106 118

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Section 41

Probability - 41

INSTRUCTOR: [TBA]
MTWTF-- 01:00 PM | TBA

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