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.
view Syllabus & FacultyGalapogos Mold Designer
We identified the main problems while producing the roof of our Digital Matter studio, where we are making a system of bendable cork panels with jute and caesin, for that we needed molds to bend the panel according to curvature, To optimise the mold and reduce waste we used galapogos to define the bounding box … Read more
ELEPHANT SKIN
For this assignment, we decided to use the biochar + clay panel project that we have been developing in the Digital Matter class, since it was already an advanced material system and we could take advantage of the tests, geometry, and resources developed throughout the course. From this, we wanted to analyze which geometry could … Read more