ILRST 3110 - [Practical Matrix Algebra]

Fall. 4 credits.

Next offered 2012-2013.

J. Bunge.

Matrix algebra is a necessary tool for statistics courses such as regression and multivariate analysis and for other “research methods” courses in various other disciplines. This course provides students in various fields of knowledge with a basic understanding of matrix algebra in a language they can easily understand. Topics include special types of matrices, matrix calculations, linear dependence and independence, vector geometry, matrix reduction (trace, determinant, norms), matrix inversion, linear transformation, eigenvalues, matrix decompositions, ellipsoids and distances, and some applications of matrices.