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During the MAEBB02, IAAC gives students the opportunity to create individual Studio agendas and develops Thesis Projects based on ecological design, thermodynamics applied to buildings, new fabrication techniques, material experimentation, solar technologies and more. In this way, IAAC puts together an experimental and learning environment for the training of professionals with both intellectual and applied responses to the increasing complexity and environmental pressures of contemporary urban environments.
Course: MaCAD 23/24 Graph Machine Learning
This course is designed to provide a comprehensive understanding of graph machine learning, from fundamental concepts to some advanced techniques, and will equip you with the necessary knowledge and skills to effectively leverage graph-based approaches in many aspects of design.
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