Linear Algebra

Description

This course illustrates the nature of mathematics as a blend of technique, theory, and applications. The important problem of solving systems of linear equations leads to the algebra of matrices, determinants, vector spaces, bases and dimension, linear transformations, and Eigen values. Vector spaces are studied in an abstract setting, examining the concepts of linear independence, span, bases, subspaces, and dimension. There follows a discussion of the association between linear transformations and matrices.

Program

Computer Science Program

Objectives

• 1. Learn important concepts of linear algebra.
  2. Be familiar with the ideas of matrices and their applications in solving problems involving systems of linear equations.