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Migration and Asylum Policy in the European Union, 7.5 credits
The course examines the politics and policies of migration and asylum in the European Union, taking into consideration both contemporary developments and their historical antecedents. Students are acquainted with major scholarly debates in the field...
Race, Ethnicity and Migration in Culture and the Arts, 7.5 credits
Cultural and aesthetic expressions are excellent tools for understanding migration, intercultural encounters, and conditions of exile and diaspora. Likewise, racism, xenophobia and the stereotyping ethnic minorities are expressed through images,...
Statistics and Machine Learning, Master's Programme, 120 credits
The intersection of statistics, artificial intelligence and database management, providing students a unique competence. Meets the demand for specialists able to exploit a wealth of information to improve analysis, prediction and decision making....
Aeronautical Engineering, Master's Programme, 120 credits
This programme offers a holistic view on aircraft design. Thanks to close collaboration between the University and the aerospace industry, you will be prepared for working with aircraft design, aircraft engineering, or wind turbine engineering. This...
Advancing Sustainable Futures: Integrating Biogas Production into Society for a Greener Transition, 5 credits
The course examines how anaerobic digestion transforms organic waste into biogas and digestate – two valuable resources for energy and agriculture. You will gain insight into the technical, environmental, and societal challenges affecting the...
Experimental and Industrial Biomedicine, 180 credits
Are you interested in applying theory in Biomedicine in projects from industry, healthcare or academia? Then the BSc program in Experimental and Industrial Biomedicine will give you exciting years! Are you interested in applying biomedical knowledge...
Elements of AI, Part 2: Building AI, 2 credits
Course contentThe course aims to introduce practical AI, focusing on basic machine learning. The aim is to understand how to build AI systems using machine learning, gain insight into the possibilities and limitations of the technology, and to get...