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Computational Design In Architectural Education: A Methodological Approach For Integrating Cognitive and Technical Skills For Parametric Design and Digital Fabrication

This paper contributes to a research initiative aimed at enhancing creative design capabilities in undergraduate architectural students through the development of computational design skills. It proposes a methodology focused on cognitive and technical abilities, such as algorithmic thinking, shape generation, parametric design thinking, digital fabrication, geometry manipulation and generative AI experimentation. The approach, a project-based learning, culminates in the development of a parametric exhibition pavilion. Initial phases included theoretical lectures complemented by activities fostering parametric reasoning, physical modeling, and artificial intelligence image generation. Subsequent phases emphasized developing computational skills through tutorials on parametric modeling and prototyping. Results demonstrated that integrating cognitive and technical skills through practical exercises facilitated an understanding of design problem-solving. Challenges included managing complex geometries, adopting optimization techniques, and refining structural and fabrication solutions. The experience is expected to inspire similar advancements in architectural education and computational design methodologies, especially in the beginning of undergraduate architecture programs.

Bárbara Ruschel Lorenzoni
Federal University of Rio Grande do Sul
Brazil

Angélica Paiva Ponzio
Federal University of Rio Grande do Sul
Brazil

Léia Miotto Bruscato
Federal University of Rio Grande do Sul
Brazil

 

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