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Dec 04, 2024
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MACT 317/3224 - Probability and Statistics (3 cr.)
Prerequisites
MACT 1122
Description
A course in probability and statistics designed for computer science and engineering students. Probability is used to construct parametric models that often arise in computer science and engineering problems. Statistics is then used to estimate the parameters of these models based on available data, check the adequacy of the fitted models, and test specific hypotheses. Topics include random variables and their probability distributions including uniform, binomial, geometric, Poisson, normal, and exponential distributions; expected value of functions of random variables; stochastic simulation; sampling distributions; maximum likelihood and least squares methods of estimation; statistical inference including hypothesis testing and interval estimation.
When Offered
Offered in fall and spring
Notes
Students can neither take both MACT 3211 and MACT 3224 for credit nor can they take both MACT 3223 and MACT 3224 for credit.
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