Proposing a Comprehensive Theoretical Training Framework (Concepts, Elements and Design Process) for Computational Design (Algorithmic, Parametric and Generative Design Systems)
Article Sidebar
Main Article Content
Abstract
In recent decades, computer technologies like computational design have made an impact on architectural design. They were first used for automation and form finding, later used for performance-based design and optimization. Computational design lead to the development of algorithmic, parametric, and generative design systems, which are now extensively used in architectural design education. According to previous studies, computational design education mainly focuses on the application of coding and related software, and theoretical knowledge of computational design not proposed and taught in a separate course before its use in the design studio. However, due to the complexities of computational design, an extensive training course is needed to fully understand its capabilities. Therefore, this research proposes a comprehensive theoretical training framework for computational design. To accomplish this objective in the first stage of this research, the current status of its training was examined, and deficiencies in computational design education have been identified through library resources. In the second stage, important concepts for comprehending computational design knowledge were examined, and in the third stage, with the goal of overcoming the deficiencies of the current educational program, a comprehensive theoretical training framework which includes two phases of 1. Learning computational design principles 2. Learning an analysis of computational design principles is proposed. The proposed program includes concepts such as definitions, types, distinctions, components and process of computational design. The findings of this study could serve as a framework for curriculum development in computational design.
Keywords: Computational design, Education, Algorithmic design, Parametric design, Generative design.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright owner / Copyright holder:
Authors retain unrestricted copyrights and publishing rights. The author has complete control over the work (e.g., retains the right to reuse, distribute, republish, etc.).
Copyright Notice:
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0), which allows others to:
Share — copy and redistribute the material in any medium or format;
Adapt — remix, transform, and build upon the material.
The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms:
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
NonCommercial — You may not use the material for commercial purposes.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See: The Effect of Open Access).