EiT Villages taught in English
Villages in English
List includes only EiT villages with English as the language of instruction
3D Acquisition and Reproduction of Material Appearance – Challenges and Opportunities
This village is based on the challenges and opportunities in understanding and reproducing visual appearance using 3D printing techniques. (IMT4310)
Data and Minds: Forging Future Frontiers
We continously collect copious amounts of data, for instance from wearables, brain machine interfaces, or other devices. It is up to us and our ingenuity to make sense of this data and to amplify its positive societal impact. Yet, ethical questions accompany this transformative journey. (TMA4851)
Digital communities and welfare
Threats and risks in the healthcare domain – Learn from the past, assess the present, and prepare for the future. (IMT4016)
GreenXR: Building greener, fairer and more democratic cities through virtual worlds and XR
The time is right to co-design and systematically evaluate new place-based technologies so that we can create hybrid (virtual and physical) cities that are greener and more fair for all. We need solutions that use virtual worlds as part of our preparedness and resilience tools for peace and democracy. (TFE4853)
Industry 5.0 – New Technologies, New Business Models
The course is primarily designed for business and engineering students at Campus Ålesund. In collaboration, students will develop sustainable business models while addressing real-world manufacturing challenges within the conceptual framework of Industry 5.0. (IE509118)
Responsible AI and welfare
The focus of this EiT village is to establish new knowledge about the use of Artificial intelligence (AI) applications in public administration in Norway. The focus is on the specific users´ need to understand the role of AI applications in welfare delivery processes, their key characteristics and the types of data they use. This will lead the way in developing human-friendly and trustworthy solutions. (TDT4850)
Robotic Ocean Waste Removal
We aim to identify "hotspots" of pollution, design and prototype a "green" robotic vessel for waste collection and removal, and identify a plan for the utilization of such technologies in Norway and the world. (TTK4854)