It seems we can’t find what you’re looking for. Perhaps searching can help.
Within the current global context of rapid change, integrated with the potentials of digital technologies, IAAC’s Master in AI for Architecture and the built environement (MaAI01) is committed to the generation of new ideas and pioneer novel AI-driven solutions applications for the fields of Urban Tech, Smart Construction and Natural Ecosystems. The three transversal objectives of the program are Regenerative Design, Carbon Neutrality and Co-Design Processes.
In this context IAAC and the MaAI works with a multidisciplinary approach, integrating computational design, rapid prototyping, machine learning, data science, and generative AI implementing sustainable practices at an unprecedented scale. Facing the challenges posed by our environment and the future development of cities, architecture and buildings, through a virtuous combination of technology, biology, computational design, digital and robotic fabrication, pushing innovation beyond the boundaries of a more traditional architectural approach.
Course: MAA01 22/23 After Gaudí: From Computation to Composition Seminar
Learning from the unfinished Colònia Güell chapel (1898-1914), Antoni Gaudí wanted the structure for the Sagrada Família Basilica (1882 – ongoing) to be ‘equilibrated’, and calculated accordingly. By equilibrated we mean that the gravity forces for the whole basilica are directed axially through the columns: each column is therefore aligned to meet these forces as efficiently as possible through their axes. The seminar investigates two challenges: the description and representation of columns, and the creation of a potentially underlying geometrical guide, and to branch columns and join them elegantly to the trunk. Students develop both design computation through parametric design software, and physical outputs materialising the production of branching columns with their hands.
view Syllabus & Faculty