Aprendizagem significativa através da modelagem computacional de sistemas físicos (Meaningful learning through computational modeling of physics systems)

Hercules A. Oliveira; Caio V. Vieira; Tiago Kroetz

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arXiv · 1711.09695

Aprendizagem significativa através da modelagem computacional de sistemas físicos (Meaningful learning through computational modeling of physics systems)

Hercules A. Oliveira·Caio V. Vieira·Tiago Kroetz

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Abstract

Nowadays the Science progress depends on the numerical calculus, due to the possibility of obtention of solutions using simulations which would be impracticable, or even impossible, to be analitically obtained. In this aspect, it becomes important to dominate the fundamental tools of numerical calculus applied to some programming language, Fortran for example. In this work we presented few basic concepts of the Fortran 77. We show how this concepts can be applied in the simulation and analysis of physical systems, trying to offer a first contact, a guide, with this programming language. We presented the construction of routines that model the behavior of spring-mass system, trigonometric functions and a more complex system, the standart map. We presented a discussion about meaningful learning involving physical concepts and programming in Fortran.

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Hercules A. Oliveira, Caio V. Vieira, Tiago Kroetz. 2017-11-22. Aprendizagem significativa através da modelagem computacional de sistemas físicos (Meaningful learning through computational modeling of physics systems). https://arxiv.org/abs/1711.09695

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