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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: MaAI01 & MUPD01 25/26 Urban Data
Urban Data introduces students to the practice of exploring and analyzing urban data, focusing on how to gather, examine, compare, and communicate geospatial information. The course provides a practical entry point to geospatial analysis using Python, the most widely adopted scripting language in data science, thanks to its accessible syntax and extensive ecosystem of libraries.