An introductory course in linear algebra that focuses on Euclidean n-space, matrices and related computations. Topics include: systems of linear equations, row reduction, matrix operations, determinants, linear independence, dimension, rank, change of basis, diagonalization, eigenvalues, eigenvectors, orthogonality, symmetric matrices, least square approximation, quadratic forms. Introduction to abstract vector spaces. Tests, at which attendance is required, will be given from 6:30-8:30 p.m. on Monday February 25, and Monday April 1. Prerequisite: Math 132.
Section 01Matrix Algebra
INSTRUCTOR: ShapiroView Course Listing