MATH304 Linear Algebra
This course is an introductory course in linear algebra that balances computation and theory. Topics include the solution of systems of linear equations using Gaussian and Gauss-Jordan elimination, matrices and determinants. Other topics covered are vector spaces, inner product spaces, linear transformations, eigenvalues, and eigenvectors. Also introduced is the Gram-Schmidt orthonormalization process, and Least Squares and Fourier approximations. The course is divided between lecture and hands on work in a computer lab using a symbolic math software package.
Corequisite
None
Distribution
General Education for Computer Science & Engineering