Aprendizagem significativa atrav\'es da modelagem computacional de sistemas f\'isicos (Meaningful learning through computational modeling of physics systems)

TL;DR

This paper introduces fundamental Fortran 77 concepts and demonstrates their application in simulating physical systems, aiming to enhance meaningful learning of physics through computational modeling.

Contribution

It provides an accessible guide to Fortran 77 for simulating physics systems, linking programming with physical concepts for educational purposes.

Findings

Successful modeling of spring-mass system and standard map

Demonstrated integration of programming and physics concepts

Facilitated meaningful learning through computational simulation

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.