MATH 2125 Linear Algebra
This course develops the techniques and theory needed to solve and classify systems of linear equations. Solution techniques include row operations, Gaussian elimination, and matrix algebra. Investigates the properties of vectors in two and three dimensions, leading to the notion of an abstract vector space. Vector space and matrix theory are presented including topics such as inner products, norms, orthogonality, eigenvalues, eigenspaces, and linear transformations. Selected applications of linear algebra are included.
Prerequisite
Prerequisite: Successful completion of Mathematics 2120 with a grade of 'C' or better. 64 hours lecture. (128 Outside-of-class Hours); (192 Total Student Learning Hours) 4 Units
Distribution
Sciences and Mathematics