The course gives an introduction to gender equality in the Nordic context. It provides an overview of how the concept of gender equality has developed; how it works as a social value that also guides ...

The course covers a range of models that are among the most widely used tools in macroeconomic thinking. It is meant as an introduction to macro theory at the masters’ level and provides a useful ...

This course gives an introduction to numerical methods for solving problems in physics and chemistry, i.e. methods for solving ordinary and partial differential equations, matrix operations and ...

Gynaecology and Obstetrics, Paediatrics, Child Psychiatry, Pharmacology, Pathology, Clinical Biochemistry, Medical Genetics, Medical Ethics, Behavioural Sciences, Public Health, and General Practice.

Ready to take the next step in your academic journey? Join our webinar to explore what makes the University of Oslo a top choice for your master’s degree! From world-class programmes taught in English ...

Theory and clinical practice is continued from the 7th semester. The practical competence is given high priority. At the same time the cause of diseases is highlighted. It is expected that students ...

Causal inference is the task of drawing conclusions from data about the effects of treatments and other type of interventions. In epidemiology and clinical research, as well as in many other fields, ...

The course introduces a variety of central algorithms and methods essential for studies of statistical data analysis and machine learning. The course is project-based and through the various projects, ...

For students interested in the nervous system, this course in neurophysiology covers the basic principles of neuron signalling and interactions that underlie brain function, spanning from the function ...

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 ...

This is an advanced course on computational physics with an emphasis on quantum mechanical systems with many interacting particles. The course covers Stochastic methods like various Monte Carlo ...