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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: MAEBB01 22/23 Ecological Thinking
The Ecological Thinking course instructs and engages students in understanding, applying, analyzing, discussing, critically evaluating and integrating in their own creations key theories, scientific developments and socio-cultural perspectives regarding the design and construction of the built environment in light of global climate change and the need to advance carbon neutrality, resource security, biodiversity, and ecological resilience alongside human health and wellbeing.
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