Description
This is a course in matrix and linear algebra where many different topics are covered such as matrices, determinants, linear independence, basis, solutions of systems, linear transformations, vector spaces and subspaces over the reals, single value decomposition, dimension of a vector space, the rank of a matrix, the Rank Theorem, the Invertible Matrix Theorem, the Basis Set Theorem, the Spanning Set Theorem, the Gram-Schmidt Process, orthogonal sets, and eigen vectors.