| id |
acadiaregional2011_003 |
| authors |
Howe, Nathan |
| year |
2011 |
| title |
Algorithmic Modeling: Teaching Architecture in Digital Age |
| doi |
https://doi.org/10.52842/conf.acadia.2011.x.a0p
|
| source |
Parametricism (SPC) ACADIA Regional 2011 Conference Proceedings |
| summary |
Can a working knowledge of algorithmic modeling augment student understanding of building architecture? This question is fundamental when addressing student design education today. This paper demonstrates that when students apply a reductive process more in line with Newell, Shaw and Simon (Newell, Shaw and Simon 1957), they can break down a complex problem into simpler and simpler terms until the problem can be resolved. This type of reduction can be applied systematically to the parametric-driven form through reverse engineering. In the process of reverse engineering, students begin to connect descriptive geometry with complex form, breaking down the complex form into its simplest parts. This design process of reduction and reverse engineering leads designers to take a more systematic approach to theoretical ideas, at once creating complex constructs while pragmatically attacking the issues of buildable form. This paper will delve into teaching analytical tools so students not only comprehend the input of form-making, but the necessary output to test building and material concepts. Fostering a clear methodology for testing built form within the design process also furthers the student’s development as a problem solver and design innovator. |
| series |
ACADIA |
| full text |
 file.pdf (838,438 bytes) |
| references |
Content-type: text/plain
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Menges, A. (2009)
 Performative Wood: Integral Computational Design for Timber Construction
, reform: Building a Better Tomorrow, Proceeding of the 29th Conference of the Association For Computer Aided Design In Architecture (ACADIA), Chicago, 2009, pp. 66-74
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Muller, L. (1998)
Peter Zumthor - Thinking Architecture
, Lars Muller Publishers
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Newell, A., Shaw, J.C., Simon, H.A., (1957)
Elements of a Theory of Human Problem Solving
, Rand Corporation
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| last changed |
2022/06/07 07:49 |
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