description
Linear algebra is the mathematical theory with which we analyze arrays. As such, it is a subject that is rooted firmly in both theoretical and applied mathematics, with deep applications to a wide-ranging list of subjects that include computer animation and graphics, statistics and related data sciences, medical technologies, physics, engineering, etc.
Topics include: Euclidean space, linear systems, Gaussian elimination, determinants, inverses, vector spaces, linear transformations, quadratic forms, least squares and linear programming, eigenvalues and eigenvectors, and diagonalization. The course will include both theoretical and computer lab components.