Benjamin Dillenburger: Catalogue data in Spring Semester 2020

Name Prof. Dr. Benjamin Dillenburger
FieldDigital Building Technologies
Digitale Bautechnologien
ETH Zürich, HIB E 23
Stefano-Franscini-Platz 1
8093 Zürich
Telephone+41 44 633 07 42
RelationshipAssociate Professor

063-0640-00LAdvanced Computational Design
Limited number of participants.
3 credits3GB. Dillenburger
AbstractIn this course we will discuss how strategies of Artificial Intelligence such as Machine Learning or Evolutionary Strategies can be used in the design process. Principal concepts of computational geometry for architecture will be connected with methods to automatically generate, evaluate and search for design solutions.
ObjectiveStudents will understand programming basics, and will learn how to control geometry using code. They will learn to translate a design concept into an algorithmic approach - or vice versa - and will obtain an awareness of potentials and limitations of AI in the design phase. Students will deepen their knowledge in customizing existing CAD software such as Rhino using scripting.
ContentIn this course we will discuss how concepts of Artificial Intelligence can be used in the design process. In tutorials and exercises, we will explore the use strategies such as Machine Learning or Evolutionary Strategies to turn the computer from a drawing instrument into an active partner in design, extending both the imagination and the intuition of the designer.
Prerequisites / NoticeSuccessful completion of the course "Structural Design VI" (063-0606-00L), "Design III" (052-0541/43/45) or "Das Digitale in der Architektur" (063-0610-00L) are recommended
069-0002-00LIntegrated Digital Design and Fabrication Project Restricted registration - show details
Only for MAS in Architecture and Digital Fabrication.
10 credits8GB. Dillenburger
AbstractIn the Design and Digital Fabrication Project students collaboratively design, fabricate and assemble a 1:1 architectural installation.
The resulting project exploits the geometric freedom offered by computational design and showcases the potential of digital fabrication methods such as additive manufacturing for architecture.
ObjectiveStudents develop custom scripts to design and to generate automatically the required data for a digital fabrication method. Computational form finding methods and computational optimization strategies are investigated to improve the performance of the structures.
In a collaborative teamwork, the students explore how to integrate digital technologies into the continuous workflow from concept-phase to fabrication. Students acquire in-depth experience in working with large-scale 3D printing technologies and learn how to establish a continuous digital process chain from design to fabrication.
ContentInformation on this course will be provided shortly by the chair of Prof. Benjamin Dillenburger.
069-0100-00LMaster's Thesis Restricted registration - show details
Only for MAS in Architecture and Digital Fabrication.
20 credits2DB. Dillenburger, F. Gramazio, M. Kohler
AbstractIn the third term of the MAS programme, students focus on developing their own research thesis, working individually or in groups of two. In line with the programme, students select a research brief in the field of robotic fabrication processes and 3D printing technologies.
ObjectiveStudents familiarise themselves with academic research in the field of architecture and digital fabrication. Closely supervised by researchers of Gramazio Kohler Research and Digital Building Technologies, students work from a research brief to physical output demonstrating their achievements. Through a series of experiments, students gradually refine their arguments, familiarising themselves with the rigour of academic research, while at the same time contributing to ongoing research. The individual thesis work is condensed in a written thesis and presented in front of a jury of international experts.