Topics covered are: linear systems of linear equations, determinants, vector spaces, linear transformations and matrices, Inner orthogonality, eigenvalues; eigenvectors; and diagonalization together with selected applications, such as Markov processes, linear programming, economic models, least squares, and population growth. Some of the basic theorems will be explored rigorously while other results will be demonstrated informally.