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Course Criteria
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1.00 Credits
An introduction to concepts fundamental to the analysis of algorithms and their realizations.Topics include set theory, induction, recursion, graphs, networks, and Boolean algebra. Prerequisites: CS 250, or MA 231 and CS 170.
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1.00 Credits
An introductory course in mathematical modeling for students who have had some prior experience with calculus. Models are developed for various applications in areas such as finance, ecology, and the social sciences.The methods focus predominantly on discrete dynamical models that can be easily implemented using a common spreadsheet program. Some familiarity with basic calculus allows analytical tools to complement this computational approach. Prerequisite: placement. Fall, Spring.
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1.00 Credits
An entry-level course on developing mathematical models to fit real-world data.To solve these problems, we study polynomial interpolation, trigonometric interpolation, splines, linear regression and the method of least squares.To obtain an overall theory to explain these methods, a function space perspective is adopted. Computers will play a central role in the course and every method discussed will be visualized. Prerequisite: MA 231.
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3.00 Credits
Prerequisite: consent.
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1.00 Credits
A course in calculus emphasizing graphical, numerical, analytical, and descriptive points of view.Topics include parametric equations, polar coordinates, vectors, multivariable and vector-valued functions, partial derivatives, multiple integrals, vector fields, and line integrals. Prerequisite: MA 232 or placement. Fall, Spring.
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1.00 Credits
An introduction to the study of ordinary differential equations with emphasis on solution techniques and applications.Whenever possible, numerical, qualitative and analytical methods are discussed, and students are encouraged to make use of computers in solving some of the problems. Prerequisite: MA 310. Spring.
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1.00 Credits
Systems of equations, matrices, determinants, eigenvalues, matrix factorizations, vector spaces, linear transformations, and applications. Prerequisite: MA 232. Fall.
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1.00 Credits
An introduction to the logic and methods used in advanced mathematics, with emphasis on understanding and constructing proofs. Prerequisite: MA 232. Fall.
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3.00 Credits
Directed readings, inquiry, and/or research project in mathematics or statistics. Prerequisite: consent.
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1.00 Credits
Basic probability theory, probability distributions, mathematical expectation, special discrete probability distributions, special probability densities, and momentgenerating functions. Prerequisite: MA 310.
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