1. Matrices – Operations with matrices.

2. Systems of Linear Equations - Method of Gaussian elimination.

3. Matrices inversion – Gauss-Jordan Algorithm.

4. Determinants.

5. Vector Spaces.

6. Linear transformations.

7. Vector Spaces with Intern Product. – The method of least square.

8. Matrix diagonalization.

9. Geometric applications in R2 and R3.

GOODAIRE, Edgar (2003). Liner Algebra : A Pure and Applied First Course. Prentice Hall, Pearson Education Inc.

LEON, Steven J. (2002).  Linear Algebra with Applications. New Jersey: Prentice Hall.

MAGALHÃES, Luís T. (1989). Álgebra Linear como Introdução a Matemática Aplicada. Texto Editora.

STRANG, Gilbert (1988). Linear Algebra and its Applications. , San Diego: Harcout Brace Jovanovich.