Andrade Neto, Pedro Ribeiro deCamara, GilbertoMaretto, Raian VargasMonteiro, Antônio Miguel VieiraCarneiro, Tiago Garcia de SennaFeitosa, Flavia da Fonseca2018-01-302018-01-302015ANDRADE 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. 2018.1988-3145http://www.repositorio.ufop.br/handle/123456789/9380In 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.en-USabertoModeling paradigmsComputer simulationSystem dynamicsCellular automataArtigo publicado em periodicoOs trabalhos publicados no periódico Modelling in Science Education and Learning estão sob Licença Creative Commons que permite copiar, distribuir e transmitir o trabalho desde que sejam citados o autor e o licenciante. Fonte: Modelling in Science Education and Learning <https://polipapers.upv.es/index.php/MSEL/index>. Acesso em: 27 fev. 2020.https://doi.org/10.4995/msel.2015.2811