Students will gain advanced knowledge and practical hands-on experience with agent-based simulations and spatial analysis tools to evaluate hospital layouts from the perspective of end-users.

If architecture aims to produce signification by articulating things together, where is such signification emerging from and how? In the face of rising AI technologies and the reappraisal of natural intelligence, this course will introduce students in broad strokes to centuries of discourses and practical research about the capacity of the human mind.

This colloquium offers an opportunity to discuss recent and ongoing research and scientific ideas in the behavioral sciences, both at the micro- and macro-levels of cognitive, behavioral and social science.The colloquium features invited presentations from internal and external researchers as well as presentations of doctoral students close to submitting their dissertation research plan.

The course focus is on pre-occupancy evaluation in architecture to support an evidence-based design process. Students are taught a variety of methods such as virtual reality, agent-based simulations and spatial analysis. The course is project-oriented and is open for architecture and STEM students with an interest in interdisciplinary teamwork.

This is an interdisciplinary course at the intersection of computer science, peace and security, global health, and climate science. Students will implement practical projects that involve the application of their skills on public data to address global challenges. In addition, students will critically engage with the ethical, social, and political implications of using AI for global challenges.

This seminar will introduce key topics, theories and methodology in human-computer interaction (HCI) and usability, with a focus on applying them to real situations.

The course explores informal learning spaces: what they are, their relevance historically, and how they shape students’ learning experience. Students collect and analyse behavioural data to understand how the space is used. They propose and implement a design intervention in a real space and evaluate whether their intervention improves the space. The course is open to architect and non-architects.

The lectures provide an overview of the foundations of cognitive science and investigate processes of human cognition, especially perception, learning, memory and reasoning. This includes a comparison of cognitive processes in humans and technical systems, especially with respect to knowledge acquisition, knowledge representation and usage in information processing tasks.

The course aims at providing students with practical knowledge and skill of processing, interpreting and analyzing empirical educational data, including different lenses through which to view the nature of inquiry in the field, research design, and an overview of quantitative, qualitative and mixed methods research.

The course aims at equipping students with a suite of advanced quantitative and qualitative tools to support their existing research and develop new lines of inquiry in the Learning Sciences. By providing opportunities to analyze empirical educational data, the course will allow students to develop an appreciation for the breadth of methods that can be employed to improve the process of learning

This seminar investigates how algorithmic systems like ChatGPT, capable of linguistic communication — a trait previously unique to humans — challenge traditional notions of human nature and society.

This seminar brings together scientific knowledge and its practical applications. The students practice giving comprehensive presentations, critical thinking and desktop research. At the core of the course, there are business cases curated especially for this course, with the aim to apply behavioural science knowledge in applied business problems stemming primarily from the finance industry.

Quantitative user experience research is a human-centered perspective on problems, using large amounts of data to make general conclusions about people and technology. Solving these problems effectively requires a mix of technical skills and critical thinking. This course covers social considerations in quantitative research and the process of creating effective surveys and data logs.

The colloquium provides a forum for researchers and graduate students in cognitive science to present/discuss their ongoing projects as well as jointly discuss current publications in cognitive science and related fields. A subset of the sessions will include invited external visitors presenting their research. Participants of this colloquium are expected to be involved in active research group.

With the global increase in interconnectivity, the potential for disruption is everywhere. Modern organisations who build resilience in all systems will respond intelligently to emergent disruptions. This course explores the concept of resilience and its application to socio-technical systems: The resilience of infrastructure systems and how individuals and social groups interact in and with them.