1. Matrices
(a) Definitions and algebra of matrices
(b) Diagonal and trace of matrices
(c) Inverse of a matrix
2. Systems of Linear Equation
(a) using crammer's rule
(b) using the inverse of a matrix
(c) Gaussian Elimination Method
3. Polynomial of Matrices
4. Caley-Hamilton theorem
5. Characteristic Polynomials of Matrices
6. Change of Basis
7. Eigen value and Eigen Vector
8. Bilinear and Quadratic forms
9. Orthogonal Diagonalisation
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