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 ...

Quantum Computing is the intersection of computer science, mathematics, and quantum physics which utilizes the phenomena of quantum mechanics to perform computations that classical computers cannot ...

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, ...

The course will last for four weeks and contain a combination of teaching and clinical placement. The first week will be teaching sessions about the Scandinavian Healthcare System and the basics of ...

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 ...

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 ...

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 ...

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 ...

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

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 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 ...

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 ...