MATH 134

3 credits

Enriched Linear Algebra and Geometry

Mathematics & Statistics (Sci): Complex numbers. Systems of linear equations, matrix algebra, determinants. Subspaces of euclidean space, linear dependence and independence, bases. Bilinear and quadratic forms. The Gram-Schmidt process. Eigenvalues and eigenvectors, diagonalization. Orthogonal diagonalization of symmetric matrices. This course is intended for students in mathematics and physical sciences.

Offered by: Mathematics and Statistics

- Restriction: Not open to students who are taking or have taken MATH 133

- Terms
- Fall 2012

- Instructors
- Adam Clay