Spatial Computing in Architectural Design

Spatial Computing for Architectural Design is focused on formulating and solving complex design problems in architecture. It involves developing computational procedures and models for the formulation of design requirements and rules, algorithmic generation of designs, analysis, simulation, and evaluation of building performance using mathematical methods for generative design. This half of the minor focuses on generative systems for a design of multi-functional housing complexes. The generative processes will be based on simulation models whose results provide for ex-ante evaluation models that form the basis of design decisions on various quality criteria and validity constraints of buildings such as ergonomics comfort, energy-environmental-comfort balance, social safety, and constructability.

Having followed the minor program, the students will be expected to have learnt:

• to acquire data and create 3D models of existing parts of the real world;
• to formulate measurable sustainable development goals for spatial interventions;
• to perform spatial data visualization and cartography via programming or software;
• to apply computational models/methods in architectural design and spatial planning;
• to formulate design or decision alternatives procedurally;
• to show by simulations how a design or an intervention is supposed to work;
• to compare design or decision alternatives according to evaluation criteria;
• to scientifically underpin their designs or geospatial decisions; and
• to distinguish and identify data modelling, analysis, simulation, evaluation and optimization approaches and methods in relation to spatial decisions.

Registration for this thematic minor is on a first-come, first-served basis and available places. (No lottery draw).

The complete minor is intended for students of Architecture and Built Environment (ABE), Electrical Engineering, Mathematics and Computer Science (EEMCS), Civil Engineering and Geosciences (CEG), Technology, Policy & Management (TPM), and Industrial Design Engineering (IDE). It is, however, also open for other students, including students outside TU Delft.

This minor is suitable for those interested in rational and collaborative approaches to decision-making for sustainable development in surveying, design, and planning. It has a mathematics & programming-oriented approach, however, prior knowledge is not considered a prerequisite.

Student at Leiden University, TU Delft or Erasmus University Rotterdam?
Check the eligibility matrix to see if your bachelor’s degree programme offers access to this and other minors at https://www.tudelft.nl/minor

Student at another educational institution?
External students cannot register via EduXchange. Interested in this minor, read the whole registration procedure at https://www.tudelft.nl/minor

For information about the courses, visit the TU Delft study guide.
For additional information on this minor, visit the TU Delft minor page.

Lectures, (programming) workshops, and seminars.

Check the detailed overview of courses, learning activities and study load at https://www.studyguide.tudelft.nl/