This course is intended for students who are pursuing a Bachelor of Science (with a major in Computing, Mathematics, or Physics) or Applied Science (Engineering) degree. Topics include: systems of linear equations and matrices, matrix arithmetic, determinants, vectors, products of vectors, lines and planes in 2– and 3-space, Euclidean vector spaces, real vector spaces, inner product spaces, eigenvalues and eigenvectors, diagonalization, linear transformations, kernel, range, similarity, approximation and quadratic forms.
Linear algebra is used extensively in Computer Science, Engineering, Mathematics, Applied Mathematics, and Physics.