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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 22/23 Graph Machine Learning
By the end of this course, students will have a solid foundation in graph machine learning and be able to apply these techniques to analyse and model complex data with graph structure.
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