Matrix algebra and systems of linear equations. Vector equations of lines and planes. Matrix inverses and invertibility. Euclidean n-spaces, subspaces, and bases. Dot product and orthogonality. Determinants. Introduction to linear transformations, eigenvalues, eigenvectors and to a computer algebra system.

Prerequisites: (Math 30-1, Pure Math 30 or equivalent) or (Math 30-2 or equivalent) or Mathematics 110
Further information: Course availability and times