Department of Mathematical Sciences,
Northern Illinois University

MATH 240 Resources on the WEB

COURSE: MATH 240, Linear Algebra and Applications (4). Matrix algebra and solutions of systems of linear equations, matrix inversion, determinants. Vector spaces, linear dependence, basis and dimension, subspaces. Inner products, Gram-Schmidt process. Linear transformations, matrices of a linear transformation. Eigenvalues and eigenvectors. Some numerical methods for linear systems-Gaussian elimination with partial pivoting, the iterative Jacobi and Gauss-Seidel methods. Applications.

COURSE OBJECTIVES: Students should develop some computational skills in working with linear functions and the matrices used to represent them. However, more of the course will focus on non-computational issues, such as learning to use appropriate terminology and reasoning and constructing proofs. This course is intended as a transition between the beginning calculus courses and upper level courses in mathematics.


About using a calculator to do linear algebra problems:
at NIU
Lists of Linear Algebra sites:
Math Forum, at Drexel University
Math Archives, at the University of Tennessee, Knoxville
The Connected Curriculum Project
at Duke University, funded by the National Science Foundation;
requires a local installation of MAPLE, MATHEMATICA, or MATLAB
ATLAST Project Forum
at the University of Massachusetts Dartmouth, directed by Steven Leon, and sponsored by the National Science Foundation
Student Projects in Linear Algebra | Sample Activities in Linear Algebra
at the College of the Redwoods, developed by David Arnold under an NSF grant

Math Department homepage