Abstract
In this paper, we introduce the process and the outcomes of a graduate-level digital architectural design studio course aiming to explore the patterns and trends of socio-spatial preferences and activities of architecture student community in Istanbul. In the scope of this experimental studio, our aim was to propose data mining as a rigorous methodology for the analysis of sociospatial problems. Specifically, we designed a detailed set of questionnaires on six different conceptual categories related to socio-spatial activities and personal preferences of architecture and design students. The questionnaires have been completed by 88 student subjects from Istanbul Technical University. The paper provides a descriptive analysis of the collected data from several perspectives.
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