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The MAA is a visionary master program with an innovative and open structure, mixing diverse disciplines, shaping professionals capable of producing theoretical & practical solutions towards responsive cities, architecture & technology.
Course: MAA01 25/26 Computational Design III (Level 1) Seminar
Introduction to Optimization and Design Decision-making
Computational Design III (Level 1) focuses on translating parametric design knowledge into structured and informed decision-making processes. Moving beyond purely generative approaches, the seminar introduces methods for evaluating, comparing, and selecting design alternatives through performance-driven workflows. Students engage with environmental simulation tools to assess microclimatic conditions and integrate data into iterative design development. Building on this, the course explores both single-objective and multi-objective optimization techniques to navigate complex solution spaces and visualize trade-offs. Through the application of multi-attribute decision-making methods, participants learn to rank and interpret design alternatives for developing clear and reproducible strategies for data-driven architectural design.
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