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MATH-501 Probability Theory and Applications
Fall only
Probability Theory and Applications. This is a graduate level introduction to probability theory. Probability measures, random variables and their properties, Law of Large Numbers, joint distributions, independence and conditional probability, elements of
stochastic processes (Gaussian, Poisson), notions of convergence,
Central Limit Theorem, probability distributions related to the normal
distribution. This course is not based on measure theory.
Fall semester.
Credits: 3
Prerequisites: None
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