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.

Referências Principais

Ana Paula SANTANA, João QUEIRÓ (2010) Introdução à Álgebra linear.Trajectos Ciência, 10. Gradiva.

Seymour LIPSCHUTZ (1972) Álgebra linear, McGraw-Hill.

Referências Complementares

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.