The use of the Python language, the Sympy library, and Google Colab as mediating resources in the teaching of Integral Calculus

Authors

Keywords:

Python, Symbolic Computation, Integral Calculus

Abstract

In this work, the process of construction and the application report of the workshop titled "The study of integrals and the graphical representation of functions with Python and the computational tool Google Colab" are presented. Based on a guiding question that analyzes the emission of pollutant particles by two engines, one conventional and one prototype, concepts such as functions, indefinite and definite integrals were addressed. The target audience consisted of students from the Exact Sciences and Engineering courses at a federal higher education institution in the state of Rio Grande do Sul, Brazil. Following the online format via video call, each participant was connected to a platform, Google Colaboratory, where Python codes were executed directly from the browser to solve the proposed problem situation. At the end of the workshop, an evaluation form was made available to the participants. The workshop extended slightly beyond the scheduled two hours. Students from the Federal University of Rio Grande participated, with the majority already having familiarity with Python. All participants agreed that the workshop played a relevant role in their education.

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References

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Published

2024-01-31

How to Cite

Biller, J., Rodriguez, B., & Poffal, C. (2024). The use of the Python language, the Sympy library, and Google Colab as mediating resources in the teaching of Integral Calculus. Revista Interdisciplinar De Pesquisa Em Engenharia, 9(2), 28–37. Retrieved from https://periodicos.unb.br/index.php/ripe/article/view/52319

Issue

Vol. 9 No. 2 (2023): Revista Interdisciplinar de Pesquisa em Engenharia

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Artigos

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