This course offers students a hands-on approach to qualitative research methods in psychology. The course will focus on generating and working with qualitative data. The course aims to inform ...
The political communication systems of established democracies are currently undergoing fundamental processes of change. Digitization changes the structure of the public sphere, challenges news ...
The course studies legal rules on data protection — i.e., a set of norms that specifically govern the processing of data relating to persons (personal data) in order to protect, at least partly, the ...
This course provides an overview of a range of resources and practical bioinformatic tools that are used in molecular biology. Scientists actively developing and applying bioinformatic tools in their ...
What are the social, economic, political and cultural processes that are driving the climate and biodiversity crisis and influencing responses? How can we understand the relationship between ...
The aim of the course is to make the participants familiar with advanced statistical regression methods applied to clinical research and epidemiology. This will give the participants a better basis ...
The purpose of the course is to introduce the use of biomarkers in clinical research today and tomorrow, as well as presenting the principles for their quantification in selected analyses. Such ...
Unsustainable consumption patterns and the upwards spiraling resource use embedded in these are at the core of the world’s sustainability challenges. And while overconsumption has been on political ...
The course aims to give insight into a standard description of the English language and into the relationship between the meaning and the grammatical form of sentences and texts. Frequent comparisons ...
The course is designed to emphasize hydrological concepts while providing useful skills for using well-known hydrological models in simulating hydrological processes. The course is divided into two ...
The course focuses on methods for modern data analysis both within a practical and theoretical framework. Fewer assumptions are made when using these methods, such as machine learning or statistical ...
This course gives a basic introduction to machine learning (ML) and artificial intelligence (AI). Through an algorithmic approach, the students are given a practical understanding of the methods being ...