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 addresses key regulatory questions regarding cybersecurity. The point of departure of the course is the increasing focus on cybersecurity not only as a technical issue, but also as a ...

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 ...

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

The course consists of an in-depth study of a central problem within a field of moral philosophy - metaethics, normative ethics or applied ethics. Which problem the course focuses on may vary from one ...

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, ...

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 ...

The aim of the course is to make the participants acquainted with basic statistical ideas and methods. No special previous knowledge of mathematics or statistics is assumed. The statistical software R ...

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 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 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 ...

This course studies a selection of advanced techniques in Natural Language Processing (NLP), with particular emphasis on modern research findings. The focus of the course is on "deep learning", a type ...