Probability

STATISTICS AND DATA SCIENCE 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/SDS 3200 and Math 233.
Course Attributes: FA NSM; AS NSM

Section 01

Probability

INSTRUCTOR: Katsianos
M-W-F-- 09:00 AM | 0204 203

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Section 02

Probability

INSTRUCTOR: Katsianos
M-W-F-- 03:00 PM | 0249 251

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Section 21

Probability

INSTRUCTOR: Katsianos
MTWTF-- 01:00 PM | 0112 L007

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