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A 3 credit but 4 hour introductory course. Topics include sample space, expectation and variance, binomial, Poisson, normal, student and chi-square distributions, confidence interval, hypothesis testing, […]

This is an introductory Linear Algebra course that will follow develope the theories of dimension and eigenvalues. We will employ the fourth edition of Linear Algebra and its Applications by David Lay. There […]