MATH 330 - Linear Algebra

(3 units)

Vector analysis continued; abstract vector spaces; bases, inner products; projections; orthogonal complements, least squares; linear maps, structure theorems; elementary spectral theory; applications.

Corequisite(s): MATH 283.

Grading Basis: Graded
Units of Lecture: 3
Offered: Every Fall, Spring, and Summer

Student Learning Outcomes
Upon completion of this course, students will be able to:
1. compute eigenvalues and eigenvectors; determine whether a matrix is diagonalizable and if possible diagonalize it.
2. compute the dimension of a vector space, the rank of a matrix or the span of a collection of vectors.
3. find or identify a basis for a vector space, use the Gram-Schmidt process to find an orthonormal basis, or carry out a change of basis.

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