MA2043 Introduction to Matrix and Linear Algebra

The fundamental algebra of vectors and matrices including addition, scaling, and multiplication. Block operations with vectors and matrices. Algorithms for computing the LU (Gauss) factorization of an MxN matrix, with pivoting. Matrix representation of systems of linear equations and their solution via the LU factorization. Basic properties of determinants. Matrix inverses. Linear transformations and change of basis. The four fundamental subspaces and the fundamental theorem of linear algebra. Introduction to eigenvalues and eigenvectors.

Prerequisite

Students should have mathematical background at the level generally expected of someone with a B.S. in Engineering, i.e., familiarity with calculus and solid algebra skills. EC1010 (May be taken concurrently.)

Lecture Hours

4

Lab Hours

0

Quarter Offered

  • As Required