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Experiences with a Socio-Environmental Modeling Course

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Experiences with a Socio-Environmental Modeling Course

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Andrade, PR.; Camara, G.; Maretto, RV.; Monteiro, AMV.; Carneiro, TGS.; Feitosa, FF. (2015). Experiences with a Socio-Environmental Modeling Course. Modelling in Science Education and Learning. 8(1):71-92. https://doi.org/10.4995/msel.2015.2811

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Metadatos del ítem

Título: Experiences with a Socio-Environmental Modeling Course
Otro titulo: Experiências com um Curso de Modelagem Socioambiental
Autor: Andrade, Pedro Ribeiro Camara, Gilberto Maretto, Raian V. Monteiro, Antonio Miguel V. Carneiro, Tiago G. S. Feitosa, Flavia F.
Fecha difusión:
Resumen:
[EN] In a social-environmental modeling course, students need to learn complementary skills that include the conceptualisation of a model, different modeling paradigms, computer programming, and the process of rigorously ...[+]


[PT] Em um curso de modelagem socioambiental, os alunos precisam aprender diferentes habilidades complementares que incluem a conceptualização de um modelo, diferentes paradigmas de modelagem, programação de computadores, ...[+]
Palabras clave: Modeling paradigms , Computer simulation , System dynamics , Cellular automata , Agent-based modeling , TerraME
Derechos de uso: Reconocimiento - No comercial (by-nc)
Fuente:
Modelling in Science Education and Learning. (eissn: 1988-3145 )
DOI: 10.4995/msel.2015.2811
Editorial:
Universitat Politècnica de València
Versión del editor: https://doi.org/10.4995/msel.2015.2811
Tipo: Artículo

References

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Axelrod, R. (2003). Advancing the art of simulation in the social sciences. Japanese Journal for Management Information System, 12(3), 3-16.

Batty, M. (2007). Cities and complexity: understanding cities with cellular automata, agent-based models, and fractals. The MIT press. [+]
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Axelrod, R. (2003). Advancing the art of simulation in the social sciences. Japanese Journal for Management Information System, 12(3), 3-16.

Batty, M. (2007). Cities and complexity: understanding cities with cellular automata, agent-based models, and fractals. The MIT press.

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Star, S. L., & Griesemer, J. R. (1989). Institutional Ecology, `Translations’ and Boundary Objects: Amateurs and Professionals in Berkeley’s Museum of Vertebrate Zoology, 1907-39. Social Studies of Science, 19(3), 387-420. doi:10.1177/030631289019003001

Starfield, A. M., Smith, K., Bleloch, A. L. (1993). How to model it: Problem solving for the computer age. New York, NY, USA: McGraw-Hill, Inc.

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Von Neumann, J. (1966). Theory of self-reproducing automata. Burks, A.W. (Ed.).

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