After successful completion of the course, students are able to integrate evidence-based design methods into architectural design processes. They will be able to conduct independent research to support their design decisions. In addition, students will have learned how to collect different types of data using person-centred research methods (e.g., interview, survey, observation) and how to create evidence in the absence of relevant design standards for a particular design objective (application of new technologies in experimental design).
This course delves into the realm of Evidence-based design (EBD) within the field of architecture, with a specific focus on its practical applications in healthcare, education, retail, and residential domains. Through lectures and exercises, students will acquire the necessary knowledge and skills to effectively gather evidence from various sources, including real-world practice, relevant literature, and expert insights.
The curriculum encompasses both fundamental and advanced methods and tools employed in EBD. The course incorporates comprehensive case studies that illustrate successful implementations of EBD in diverse contexts. In addition, students will explore the integration of artificial intelligence (AI) technologies, enabling them to understand how AI can augment the evidence-collection process.
The skills acquired through this seminar will empower students to apply EBD principles in creating healing environments, optimizing learning spaces, improving retail designs, and innovating in residential structures. Ultimately, the course aims to equip students with the necessary tools to prioritize user well-being when designing architectural spaces.
The course will take place on Thursdays from 09:00.
This course is part of the initiative for the annual theme “Transformation des Bestands.” You can find more information and an overview of all participating courses at the following link: https://futurelab.tuwien.ac.at/jahresthema-2023-24
The Seminar Evidence-based Design (EBD) consists of lectures dealing with the basics of EBD, integrating EBD into the design process, evidence generation and analysis, role of AI in END and analysis of case studies. The practical acquisition of the contents will be made via homework tasks and corresponding deliverables.
https://tuwien.zoom.us/j/61640730854?pwd=p2kWRgOjvQUjN35bbPn8qyw9mxfRvd.1
Meeting ID: 616 4073 0854
Password: txTNtA97
The student has to be enrolled for at least one of the studies listed below