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Within the current global context of rapid change, integrated with the potentials of digital technologies, IAAC’s Master in Advanced Architecture (MAA) is committed to the generation of new ideas and applications for Urban Design, Self Sufficiency, Digital Manufacturing Techniques and Advanced Interaction.
In this context IAAC works with a multidisciplinary approach, 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 25/26 Computational Design III (Level 2) Seminar
Introduction to Optimization and Design Decision-making
Computational Design III (Level 2) advances data-driven design methodologies by integrating optimization, data analysis, and machine learning into architectural decision-making processes. Building on parametric workflows, the seminar explores how environmental simulation tools can inform iterative design through measurable performance metrics. Students engage with both single-objective and multi-objective optimization techniques to generate and navigate complex solution spaces. Expanding on this, the course introduces clustering methods and regression analysis to identify patterns and relationships within large datasets, supporting deeper insights into design performance. Through the application of multi-attribute decision-making techniques, participants develop transparent and reproducible strategies for evaluating and ranking design alternatives within complex architectural contexts.
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