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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.

An introduction to differential equations, with an emphasis on analytical methods for solving ODEs.

An introduction to differential equations, with an emphasis on analytical methods for solving ODEs.

An intro course in linear algebra. Topics include systems of linear equations, linear transformations,vectors and matrices, properties of matrices, the invertible matrix theorem, determinants, eigenvalues/eigenvectors, and vector spaces.

An intro course in linear algebra. Topics include systems of linear equations, linear transformations,vectors and matrices, properties of matrices, the invertible matrix theorem, determinants, eigenvalues/eigenvectors, and vector spaces.