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Course Criteria
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3.00 Credits
An introduction to ordinary differential equations, emphasizing equations of first order and first degree, linear differential equations of higher order, and applications of equations which arise in geometry, chemistry, and physics. Prerequisite: A grade of "C" or better in MATH 132. F
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3.00 Credits
Random variables, probability, distribution functions, mathematical models, testing hypotheses, frequency distributions, correlations, regression, goodness of fit, derived distributions, non-parametric methods. Prerequisite: MATH 131.
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3.00 Credits
Selected topics from finite, projective, or non-Euclidean geometries. Advanced topics in Euclidean geometry, including constructions. Prerequisite: A grade of "C" or better in MATH 240. Sp
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3.00 Credits
A survey of Euclidian geometry and measurement. For Elementary Education majors only. Prerequisite: A grade of "C" or better in MATH 252.
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3.00 Credits
Numerical algorithms fundamental to scientific work including discussion or error. Prerequisite: CSCI 203, a grade of "C" or better in MATH 202, and MATH 132. (Duallisted as CSCI 373).
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3.00 Credits
Sequences and series of real numbers and their convergence; continuity, differentiation, and integration of real valued functions of one real variable. Prerequisites: A grade of "C" or better in MATH 232, MATH 240.
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3.00 Credits
Axioms and the nature of proof, groups, rings, integral domains, fields, homomorphisms and isomorphisms. Prerequisite: A grade of "C" or better in MATH 202and MATH 240.
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3.00 Credits
Series solutions to ordinary differential equations, Laplace transforms, systems of differential equations, numerical methods and applications which arise in geometry, chemistry, and physics. Prerequisite: MATH 301.
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3.00 Credits
A study of abstract vector spaces including function spaces, linear transformations, operators, functionals and duality, bilinear and quadratic forms. Prerequisite: MATH 202, 132.
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3.00 Credits
each. Probability, discrete and continuous random variables, expected values and moments, special continuous distributions, sampling, point estimation, multivariate normal,interval estimation, tests of hypothesis, regression and linear hypothesis, experimental design models, sequential tests, and nonparametric methods. Prerequisite: MATH 303.
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