Computational design learning: the smartgeometry case

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2019

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Acıcan, Öykü

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Computational design has brought in novel concepts to architecture and design disciplines by an integration of interdisciplinary knowledge, tools and methods. Computational design learning has entered the curriculum of architecture, and gained significance over time. Experiential learning environments such as computational design workshops offer strategies for a better understanding of the contemporary needs of computational design learning. Smartgeometry (SG) is a computational design organization that operates through workshops of interdisciplinary teams. SG uses and teaches the state-of-the-art computational design tools and methods. Instead of teaching the novel computational design tools in an instructive manner, SG workshops focus on teaching complex concepts of computational design by using the potentials of these tools through personal discovery and experimentation. In SG, the interactions between individuals, the environment, tools and materials lead to various learning strategies such as learning-by-doing, constructivist learning and experiential learning. This research aims to explore the contemporary mechanisms and strategies for computational design learning through an in-depth qualitative analysis of the SG workshops. It is also aimed to identify the aspects that emerge during an experimental, rapid and interdisciplinary computational design process.

Subject Keywords

Architectural design., Keywords: Computational Design, Computational Design Learning, Smartgeometry, Interdisciplinarity.

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http://etd.lib.metu.edu.tr/upload/12624158/index.pdf
https://hdl.handle.net/11511/44928

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Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

Ö. Acıcan, “Computational design learning: the smartgeometry case,” Thesis (M.Arch.) -- Graduate School of Natural and Applied Sciences. Architecture., Middle East Technical University, 2019.