Probability

MATHEMATICS 493C

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. Prerequisites: Math/SDS 3200 and Math 233.
Course Attributes: FA NSM; AS NSM

Section 01

Probability

INSTRUCTOR: Katsianos
M-W-F-- 09:00 AM | 0254 250

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Section 02

Probability

INSTRUCTOR: Katsianos
M-W-F-- 02:00 PM | 0151 105

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