An undergraduate degree in mathematics is one of the best preparations for advanced mathematics and graduate work in computer science, statistics, operations research, actuarial science, and the natural sciences. Math majors are encouraged to pursue a minor or double major in another discipline that supports their goals or interests.
Students are drawn to mathematics because of its clarity and the joy of discovering solutions to complex problems. The Department of Mathematics offers a substantial B.S. degree that includes a variety of courses intended to prepare students for a career in any mathematics-related field or other areas that value quantitative and problem-solving skills. The program allows flexibility in breadth and depth where students can choose among courses with applied and pure emphases. In addition, the faculty are committed to creating a welcoming environment and providing opportunities for undergraduates to explore mathematics within and beyond the classroom.
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Covers vectors, dot and cross products, equations of lines, planes and surfaces, partial derivatives, directional derivatives and gradient vectors. Learn optimization and Lagrange multipliers, multiple integrals, vector fields, and applications.
An introduction to methods of proof in advanced mathematics, with topics from logic, set theory, abstract algebra, number theory, and real analysis.
Explores abstract vector spaces, linear transformations, matrices, inner product spaces, eigenvalues and eigenvectors. Emphasizes both theory and application.
Understand analytic and transformational geometry and the axiomatic development of modern geometry using both Euclidean and non-Euclidean models. Understand properties of circles and polygons.
Covers Euclid's algorithm, prime numbers, congruences, the Fundamental Theorem of Arithmetic, theorems of Fermat and Euler, and quadratic residues.
Learn about computer storage of real numbers and finite precision arithmetic, errors, root-finding, algorithms for solving linear systems, and interpolation. Learn practical solutions of problems from science, engineering, and mathematics.