Experiences with a socio-environmental modeling course.
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2015
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Resumo
In a social-environmental modeling course, students need to learn complementary skills
that include the conceptualisation of a model, di erent modeling paradigms, computer pro-
gramming, and the process of rigorously converting ideas and data into a computational
program using a given toolkit. Such topics need to be taught in parallel in order to keep
a heterogeneous audience motivated. Based on the experience with multidisciplinary au-
diences, this paper describes a socio-environmental modeling course that explores three
modeling paradigms: System dynamics, Cellular automata, and Agent-based modeling.
We also present a small tutorial with some examples developed for the course.
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Modeling paradigms, Computer simulation, System dynamics, Cellular automata
Citação
ANDRADE NETO, P. R. de et al. Experiences with a socio-environmental modeling course. Modelling in Science Education and Learning, v. 8, p. 1-18, 2015. Disponível em: <https://polipapers.upv.es/index.php/MSEL/article/view/2811/3711>. Acesso em: 16 jan. 2018.