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Course Criteria
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3.00 Credits
This course, an introduction to the basic ideas and techniques of probability and statistics, is designed to prepare students to interpret quantitative information. Topics to be covered include descriptive statistics, probability, probability distributions and the normal distribution, and an introduction to inferential statistics, including estimation and hypothesis testing. Meets Part I.B. of the GECC.
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3.00 Credits
A first course in mathematical modeling, this course enables students to become proficient at applying some of the simpler mathematical models to practical situations. This course focuses on modeling interesting and important environmental problems, and includes models for business and finance and other areas. Students will acquire a working knowledge of the STELLA simulation programs. Meets Part I.B. of the GECC. (Spring semester only)
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4.00 Credits
A continuation of MAT-1531. Includes techniques and applications of integration, indeterminate forms and improper integrals, sequences and series. (Fall semester only) (Shared course in VSC)
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4.00 Credits
A continuation of MAT-2532. Topics include the calculus of vector-valued functions, tangent vectors, velocity and applications, functions of several variables, partial derivatives, directional derivatives and gradients, extreme values and applications, and multiple integration. Additional topics may include line and surface integrals, parametric surfaces, and the theorems of Gauss, Green, and Stokes. (Spring semester, even years) (Counted as upper level in the major) (Shared course in VSC)
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1.00 - 12.00 Credits
(Shared course in VSC)
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1.00 - 12.00 Credits
No course description available.
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4.00 Credits
Contemporary secondary school mathematics curricula, their content and pedagogy. Students are expected to engage in individual/group tutoring outside of regular class meeting times for this course, as determined by the instructor. Required before EDU-4850 Secondary Practicum. (Offered upon request, as independent study)
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3.00 Credits
An introduction to linear algebra. Topics include: matrices, determinants, systems of linear equations, vector spaces, linear transformations, applications of linear algebra, eigenvalues, and eigenvectors. (Fall semester only) (Shared course in VSC)
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3.00 Credits
An introduction to probability theory for students with a background in calculus. Topics to be covered will include sample spaces, permutations and combinations, discrete and continuous random variables, probability density functions, the binomial distribution, the normal distribution and its use in approximating the binomial, curve fitting by least squares, and with numerous applications. (Fall semester, even years)
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3.00 Credits
A study of first- and second-order ordinary differential equations, many of their applications, and related topics. (Fall semester, odd years) (Shared course in VSC)
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