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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 24/25 Data Informed Structures Seminar
The seminar focuses on performative data informed structures for extreme contexts. Being a two-term seminar, it links structural design and fabrication techniques, by means of feedback between digital and physical. While using structural engineering plugins for Rhino and Grasshopper, students gain knowledge on how to design based on concepts and typologies of structural optimisation. This culminates in off-site construction methodologies, testing 1:1 connections and/or assembly methods.
view Syllabus & Faculty