Techniques of calculus in two and three dimensions, including vectors, partial derivatives, multiple integrals, line integrals, surface integrals and Green's, Stokes's, and the Divergence Theorem. Honors section available.

Techniques of calculus in two and three dimensions, including vectors, partial derivatives, multiple integrals, line integrals, surface integrals and Green's, Stokes's, and the Divergence Theorem. Honors section available.

Techniques of calculus in two and three dimensions, including vectors, partial derivatives, multiple integrals, line integrals, surface integrals and Green's, Stokes's, and the Divergence Theorem. Honors section available.

Techniques of calculus in two and three dimensions, including vectors, partial derivatives, multiple integrals, line integrals, surface integrals and Green's, Stokes's, and the Divergence Theorem. Honors section available.

Techniques of calculus in two and three dimensions, including vectors, partial derivatives, multiple integrals, line integrals, surface integrals and Green's, Stokes's, and the Divergence Theorem. Honors section available.

Techniques of calculus in two and three dimensions, including vectors, partial derivatives, multiple integrals, line integrals, surface integrals and Green's, Stokes's, and the Divergence Theorem. Honors section available.

Techniques of calculus in two and three dimensions, including vectors, partial derivatives, multiple integrals, line integrals, surface integrals and Green's, Stokes's, and the Divergence Theorem. Honors section available.

Lie algebras are linear algebra devices of great usefulness in mathematics and physics as an efficient tool for the study of symmetries of objects. This course will cover the fundamentals of the subject, including nilpotent and solvable Lie algebras, as well as semisimple Lie algebras and their representations.

Not available at this time

Introduction to computational techniques used in science and industry. Topics selected from root-finding, interpolation, data fitting, linear systems, numerical integration, numerical solution of differential equations, and error analysis. Prerequisites: MATH 233 and 235, or consent of instructor, and knowledge of a scientific programming language.