Basic concepts and applications (conic sections, systems of differential equations) of linear algebra and matrix theory including vector algebra in two, three and n-dimensional space, Eigen Values, Eigen Vectors, QR decomposition, diagonalization, Orthogonality, Gram-Schmidt Process, Linear Transformations, Linear dependence, Linear Independence, Norms, Vector Space, Subspace, Kernel, Range, and Inner Product Space.

**Credit hours:** 3

Last updated:
05/23/2022