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

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 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 is a course in epidemiological methods for clinical and public health research. Participants learn how to plan and implement a research project. The course covers general aspects of research as ...

Are parties to international commercial contracts completely free to regulate their relationship or to ensure that the transaction is governed by a set of rules fully agreeable to them? Is their ...

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 course provides an introduction to the field of global health and global health research. Taking an interdisciplinary approach, the course discusses a variety of perspectives on global health ...

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 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 ...

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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 ...

Statistical analysis is becoming more and more complex, both because of bigger data and many types of data and because of the use of more advanced methods and models. This course deals with numerical ...