Introduces and provides models for application of the concepts of vector algebra. Topics include finite-dimensional vector spaces and their geometric significance; representing and solving systems of linear equations using multiple methods, including Gaussian elimination and matrix inversion; matrices; determinants; linear transformations; quadratic forms; eigenvalues and eigenvectors; and applications in science and engineering. Prerequisite: MATH 1316.
|Linear Algebra||Section 001||Eric T. Funasaki, Ph.D.|
|Linear Algebra||Section MC1||Eric T. Funasaki, Ph.D.|
|Linear Algebra||Section 001||Kristofer Jorgenson|
|Linear Algebra||Section MC1||Kristofer Jorgenson|
|Linear Algebra||Section 001||Angela Brown, Ph.D.|
|Linear Algebra||Section MC1||Angela Brown, Ph.D.|