Spatial Computing - Bachelor Minor

Generative Design Systems for Residential Complex

January 26, 2021 - 2 minute read
Education Generative Spatial Python

Spatial Computing is a minor for bachelor students at TU Delft. The goal of this studio is to introduce a participatory generative approach to architectural design. In doing so, the course also introduces basic mathematical and computational skills, especially in geometry, topology and graph theory (spatial mathematics), which are necessary for systematic analysis, synthesis, simulation, decision-making, and optimization in architectural design. We propose generative design as a feed-forward way of designing in which the form is systematically derived from functional requirements. The goal of this studio is to learn how to develop computational design workflows. Therefore, the focal points of attention in the course are gamification, programming, and mathematics for participatory generative design. Thus, students are required to provide a demonstration of an operational workflow showing the transformation of a site, a program of requirements, key performance indicators, and the preferences of the prospective inhabitants into a building. Spatial computing workshops contains all the workshops of the course in python notebook format.

Growth Process, image credit: CUB3D project

Growth Process, image credit: CUB3D project

Instruction Team

Dr. Ir. Pirouz Nourian (TU Delft, Design Informatics, PZN)
Ir. Shervin Azadi (TU Delft, Design Informatics, SAZ)
Ir. Hans Hoogenboom (TU Delft, Design Informatics-HHG)

Spatial Computing Design Studio 2020 - Student Projects

In 2020, we have restructured the workshops of the course to remove all commercial software from the dependencies of the workflow. In this new version, all materials are available as open documents (markdown files) or open source code (python notebooks). Furthermore, students are motivated to develop, document and present their project as an open source project. Here you can find the website and repository of the spatial computing design studio 2020:

  • CUB3D: website - git repo
    • Hugo van Rossum
    • Maren Hengelmolen
    • Liva Sadovska
    • Sander Bentvelsen
  • Apidae: website - git repo
    • Maartje Damen
    • Eda Akaltun
    • Siebren Meines
  • The Green Valley: website - git repo
    • Xam Adan
    • Frank Vahstal
    • Lotte Zwolsman
  • Zoho’s Pearl: website - git repo
    • Milou Mulder
    • Nancy Nguyen
    • Jirri van den Bos

image credit: The Green Valley project

image credit: The Green Valley project

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