ARCH 719 . Special Topics in Architectural Representation.
Spring, 2011. DAAP, UC
Performance based design and prototyping
By utilizing CAD/CAM and Simulation tools, architects are realizing the marriage of the digital computation and static physical world through an interdisciplinary collaboration that emerges in the architecture field. To improve the performance of buildings by using computational methods for model generation and analysis, decision-making and design communication, this course covers the parametric and procedural modeling techniques associated with performance- based design and digital fabrication. Rapid prototyping is utilized as a means of studying design at varied scales, and reviewing constructability.
As an advanced level digital design & computation course for students in Architecture and interior design major interested with design representation in the digital age. This course will work closely with the Tech Lab and nD of Perkins + Will research. This special topic course is focusing on the following key elements.
- Performance-driven methodologies: key concepts and issues in the application of performance-based design. Measures to guide and inform performance are taken from a computational design methodology.
- Rapid prototyping with RPC
Digital fabrication technology is utilized as another process tool, by-means of rapid prototyping, to develop study, development- and final models. We will cover how to use digital fabrication to support design goals and objectives. Here, direct capability of file-to-fabrication serves as a means of having a tangible “artifact” to study and or represent milestones through the design process and development.
- Parametric Modeling
- Concept of bio mimicking & evolution based computation
Prerequisite: Basic computer skills of AutoDesk Revit is required.
Knowledge about Rhino, Maya are not required, but preferred.
Tools: Revit + Vasari, Ecotect, Maya, Rhino + Grasshopper
* Ming Tang , LEED AP, ACADIA, Assistant Professor, University of Cincinnati
* Michael Hodge, AAIA, ACADIA. nD. Perkins + Will research. nD
* Ajla Aksamija, PhD, LEED AP, CDT. TechLab Perkins + Will research. Tech Lab.
*Jonathon Anderson. Assistant Professor, University of North Carolina, Greensboro.
- Course Website
- TU Delft Computation & Performance
- Perkins + Will
Please contact firstname.lastname@example.org for questions.