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 eigenvector; and applications in science and engineering. (Fall)
Credit hours
3 credit hours.
Lecture/Lab/Clinical
Three hours of lecture each week.
Prerequisites
MATH 2414 with a grade of "C" or better