Teaching of Linear Algebra to Engineering Students using Scilab: mathematical and computational aspects

Authors

  • Marcos Rodrigues Pinto Universidade de Fortaleza

DOI:

https://doi.org/10.37467/gka-revtechno.v6.426

Keywords:

Teaching of Engineering, Computational Methods, Computational Linear Algebra

Abstract

The teaching of Algebra, in special Linear Algebra, to engineering students, come changing its focus since the popularization of personal computers. Various specialized softwares has been developed and has become feasible to pay more attention in the algebraic thinking to solve problems and minus attention in the calculus itself. But one needs to be careful to not go to the extreme of this teaching-learning process. The teaching of Algebra using computational software must not mean the teaching of a sequence of commands and its syntaxes. On the other hand, it must not mean to memorize a sequence of definitions and theorems. So we propose a equilibrium point based on our experience with students of engineering that attended in our lessons of Algebra with Scilab software.

Author Biography

Marcos Rodrigues Pinto, Universidade de Fortaleza

Professor pesquisador da Universidade de Fortaleza. Colaborador no Laboratório de Hidráulica Computacional da Universidade Federal do Ceará. Atua no ensino superior desde 2002 e pesquisa na área de otimização heurística desde 2007.

References

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Machado, N. J. (2001). Matemática e Realidade. São Paulo, Brasil: Cortez.

Belloni, M. L. (2009). Educação a Distância. Campinas, Brasil: Autores Associados.

Masetto, M. T. (1ª Ed.). (2007). Ensino de Engenharia: técnicas para otimização das aulas. São Paulo, Brasil: Avercamp

Catarino, P., Vasco, P. (2014). Scilab in Linear Algebra. Applied Mathematical Sciences, 8, 1391-1399. Doi: 10.12988/ams.2014.4148.

Wankat, P. C., Oreovicz, F. S. (2014). Teaching Engineering. Indiana, United States: Purdue University.

Published

2017-06-23

How to Cite

Rodrigues Pinto, M. (2017). Teaching of Linear Algebra to Engineering Students using Scilab: mathematical and computational aspects. TECHNO REVIEW. International Technology, Science and Society Review Revista Internacional De Tecnología, Ciencia Y Sociedad, 6(1), 41–47. https://doi.org/10.37467/gka-revtechno.v6.426

Issue

Section

Research articles