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Rice University

C.W.N.S.P.O.S.

Abstract

dc:description.abstract

Computation tends to produce discrete, self-similar parts and aggregate them together, a common concern in recent projects that we think of as computational. How can we think about using the computational techniques available to us, but in a different way than they have been studied? This thesis is an exploration about the usefulness of these techniques at a greater diversity of scale than what is seen in digital fabrication or product sets. Reversing the logic of aggregation in order to produce wholes that subdivide into parts, it poses the experiment of producing a Closed Whole with Non-Standard Parts produced as an Object Set. It takes as a platform the issue of a housing model in the city of Houston. The work begins as a formal investigation to explore what the potentials of these techniques might be, and posits that we can respond to an architectural condition at the scale of part-to-whole relationships and to an urban condition at the scale of the object set, both intrinsic to a singular methodology.

Degree

thesis:*
Name thesis:degree_name
Master of Architecture
Level thesis:degree_level
Masters
Discipline thesis:degree_discipline
Architecture
Grantor
Rice University
Year dc:date.issued
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Yee, Anastasia Xi
Advisor dc:contributor.advisor
  • Colopy, Andrew

Subjects

dc:subject × 8

Rights

dc:rights
Statement dc:rights
  • Copyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1911/96032
OAI identifier oai:identifier
oai:repository.rice.edu:1911/96032

Chain of custody

source
Harvested from
Rice University
Base URL
repository.rice.edu/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Yee, Anastasia Xi. C.W.N.S.P.O.S.. Masters thesis, Rice University, 2017. https://hdl.handle.net/1911/96032