Matrix theory. Linear systems of equations. Linear independence. Vector spaces. Rank of matrix. Linear systems. Application of matrices in solving linear equations. Inverse matrix. Determinant and Cramer’s rule. Linear transformations. Eigenvalues, eigenvectors and their applications. Hermitian and unitary matrices. Introduction to tensor.