Computational Methods for User-Centered Architectural Design :: UCAD 19.2
The creation of spaces is at the heart of architectural and urban design. However, statements of designers about spatial qualities often remain vague and ambiguous. This is reflected by many built examples whose problems emerge from a missing understanding of the relations between the built environment and human behaviour. In this seminar we will examine methods for quantitative analysis of architectural space and examanine in how far these quantities relate to human behaviour.
The objective of this course is to learn knowledge and methods for better anticipating the perspective of the user of architectural spaces. Therefore you will on the one hand learn computational methods for quantifying daylight, visibility and accessibility. On the other hand you will learn a tool for conducting user studies in Virtual Reality.
The methods are trained using a small scale scenario: your own appartment. By applying the methods to this case and comparing the results to your actual experience we will investigate in how far objective statements about user-centered criteria can be made.
The knowledge provided through online seminars will be deepened in consultations and documented in several exercises.
No previous knowledge is required.
Sven is a lecturer and researcher in the field of architectural planning support systems. He is interim professor for the chair of computer science in architecture at the Bauhaus-University Weimar and founding partner of DecodingSpaces GbR. He studied applied computer science at TU-Chemnitz and graduated in architecture at the TU-Dresden and BU-Weimar. He completed his PhD in 2016 on the topic of automated spatial layout design from a user-perspective. His main research interests lie in the development of measures for evaluating the built environment and generative methods for supporting the design process. He was and is engaged and coordinating several state-funded research projects and has published a number of articles on generative methods for spatial layout design and spatial analysis.
Ekaterina is a research assistant at the Chair of Computer Science in Architecture at the Bauhaus-University Weimar in Germany. She graduated in Computer Science and Media in 2017 at Bauhaus-University Weimar. Her main research interest is design and developing of computational analysis approaches in architecture with focus on spatial analysis and design space exploration systems.
Olaf has a Master of Science in MediaArchitecture from the Bauhaus-Universität Weimar, where he works as a lecturer since 2018. In addition, he studies Management [Construction Real Estate Infrastructure] at Bauhaus-Universität Weimar.