Linear Algebra for Computer science

Topics covered include matrices, vectors, operations on matrices determinants, systems of linear equations and method of solutions; vector spaces, linear independence and basis; linear transformations, kernel and range; Eigen values and eigenvectors; with emphases on application of these topics in computer science.