Students should be able to solve systems of linear equations, calculate determinants, test for a subspace, show whether a set of vectors is a basis, find its dimension, find a basis, rank and nullity for any fundamental matrix spaces, use the Gram- Schmidt process to find an orthonormal basis, find the eigenvalues, corresponding eigenvectors and determine whether the matrix is diagonalizable. Some applications of linear algebra to engineering are discussed.

- Course creator: Noraini Bte. Md. Nusi .

- Course creator: Noraini Bte. Md. Nusi .

- Course creator: Noraini Bte. Md. Nusi .

Basic of complex numbers

- Course creator: Noraini Bte. Md. Nusi .

- Course creator: Noraini Bte. Md. Nusi .