3 credit hours
Matrices, determinants, systems of linear equations and ways of solving them. Vector spaces: subspaces, linear combinations, linear dependence and linear independence, basis and dimension, rank of a matrix, coordinates and change of basis. Inner product space: orthogonal vectors, length of a vector, angle between two vectors, orthonormal bases. Linear transformations. Eigen values and Eigen vectors, diagonalization of a square matrix.