This course cover selected topics in statistical methods and research workflow related to statistical analysis. The topics covered are typically not included in statistical methods courses at the ...

This course provides an introduction to key concepts and methods in bioinformatics. Emphasis will be put on review of efficient algorithms, data structures, and techniques used in current applications ...

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 ...

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 introduction to modern Japanese literature through the reading of a selection of representative texts in translation. Each week we will look at one significant work of Japanese ...

The course covers central topics in immunology for students who already have a basic knowledge of immunology. The focus is on the adaptive immune system in 1) defense against pathogens, 2) ...

Environmental problems and climate change are becoming so severe that they are affecting human wellbeing and threatening the very human survival. In order to fix these problems, individual action is ...

Ibsen Studies is an inherently interdisciplinary field of study that requires the ability to apply and at times combine a variety of theories and analytical methods, depending on the specific topic ...

Nanoscience is referred to as a research area devoted to studies of various phenomena in small-size devices. It is a cross-disciplinary field including physics, chemistry, and to some extent biology.

This course addresses gender, violence and sexuality through presenting and discussing literature, analytical perspectives and empirical case studies on sexual violence. The course critically ...

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 ...