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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, correlation and regression. Students do 3 projects, 1 individual and 2 in groups and choose one of the group projects to present at the end of the semester. The extra classroom hour is designed to facilitate a hands-on feel to the course including a heavy use of MS Excel.

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, correlation and regression. Students do 3 projects, 1 individual and 2 in groups and choose one of the group projects to present at the end of the semester. The extra classroom hour is designed to facilitate a hands-on feel to the course including a heavy use of MS Excel.

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 will be supplementary material available here on OpenLab.

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 will be supplementary material available here on OpenLab.