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Apr 19, 2024
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Undergraduate Record 2008-2009 [ARCHIVED RECORD]
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APMA 310 - Probability
A calculus-based introduction to probability theory and its applications in engineering and applied science. Includes counting techniques, conditional probability, independence, discrete and continuous random variables, probability distribution functions, expected value and variance, joint distributions, covariance, correlation, the Central Limit theorem, the Poisson process, an introduction to statistical inference. (S)
Prerequisites & Notes
Prerequisite: APMA 212 or equivalent.
Credits: 3
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