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Course Criteria
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3.00 Credits
Solutions of ordinary differential equations using classical methods, Laplace transform, numerical methods, power series solutions. Solution of linear systems of ordinary differential equations. Prerequisite: MATH 232.
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3.00 Credits
An introduction to some modern topics in mathematics. Elementary set theory, groups, rings, fields. Prerequisite: MATH 232, 238.
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3.00 Credits
Numerical techniques for solving mathematical models of scientific problems. Topics include the numerical solution of equations, error analysis, numerical differentiation and integration, interpolation and approximations, numerical solution of systems of equations. (Also offered as CSCI 338) Prerequisite: MATH 232.
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3.00 Credits
Various topics concerning basic concepts of mathematics. Emphasis is on mathematical content of topics applicable to the elementary school curriculum. Designed for students of elementary education. Does not count towards math or computer science major or minor.
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3.00 Credits
Topics selected by the instructor. Among these topics are number theory, partial differential equations, theory of complex variables, and research methods in computational mathematics. Prerequisite: consent of instructor.
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3.00 Credits
Intensive, individual study and/or research available to qualified students with a special interest to do advanced work in specific areas not covered by regular courses. Prerequisite: consent of instructor.
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1.00 - 3.00 Credits
Practical work experience which complements major course work. One to three hours credit dependent on number of work hours per week. Normally, 80 hours of internship equal to one semester hour of credit. Credit/Non-credit grading. Prerequisite: consent of advisor.
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3.00 Credits
Asymptotic expansions, special functions, line/surface integrals, Green's Divergence and Stokes' Theorems, integral transforms (Laplace, Fourier) and applications. Functions of a complex variable, Taylor/Laurent Series, Residue Theorem and contour integration, Conformal mapping and applications. Prerequisite: MATH 333.
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3.00 Credits
Set theory, the real number system, metric spaces, continuous functions, differentiation, Riemann integration. Prerequisite: MATH 333.
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3.00 Credits
Mathematical theory of probability, random variables on both discrete and continuous sample spaces, elementary sampling theory and hypotheses testing. Prerequisite: STAT 375 and MATH 232.
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