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. Prereq: Math 233. Math 310 is recommended but not required.
Course Attributes: FA NSM; AR NSM; AS NSM

Section 01

Probability

INSTRUCTOR: Jha
M-W-F-- 02:00 PM | 0107 100

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Section 02

Probability

INSTRUCTOR: Xie
M-W-F-- 03:00 PM | 0254 250

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Section 41

Probability

INSTRUCTOR: Xie
MTWTF-- 01:00 PM | 0112 203

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