The course focuses on urban informatics and data driven design in support of designing sustainable and livable cities and spaces. Basic elements of social, technical, and financial sustainability will be discussed and further elaborated in course works. The course will be implemented in collaboration with signals processing course looking at the automated machine learning techniques for audio and video feed. Such tools will be used for collecting data on the use of architectural and urban spaces. The students will study and innovate in multidisciplinary groups different indicators for enhanced sustainability and functionality of cities and spaces. Based on the group work, the architectural students will develop a concept and design an individual design project for a selected urban space to improve the different sustainability characters of the place.
The course uses real-life data. Please note that all data collected and used during the course is confidential and distribution or publishing the data is strictly forbidden through any media, including social media.