Linear Algebra II

Undergraduate

General vector spaces. Basis and dimension. Row and column spaces. Rank and nullity; the dimension theorem. Real inner product spaces. Angles and orthogonality. Orthonormal bases. Gram-Schmidt process. Eigenvalues, eigenvectors and diagonalization. Linear transformations. Applications to differential equations and least square fitting. Use of a computer algebra system. Course Format: Lectures, 3 hours per week; lab/tutorial, 1 hour per week. Prerequisite(s): MATH 1P11 or MATH 1P12 Course Notes: This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. Software Fee Required.