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 ...

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 ...

Ethical hacking covers vulnerability and penetration testing, which are essential elements in modern cybersecurity. Ethical hacking consists of testing the security of IT systems by trying to find and ...

Geographical Information Systems (GIS) are computer systems designed to collect, manage, edit, analyze and present spatial information. This course introduces the basic concepts and methods in mapping ...

Network and communications security is an important part of information security: a large portion of IT-related attacks are performed either using network connections or are directed at network ...

For mapping and exploring communities of both micro- and macroorganisms, high throughput sequencing of environmental DNA has become a powerful approach. One can either analyze the total DNA content to ...

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

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 ...

The course provides an introduction to developmental psychology. It focuses on conveying an understanding of key developmental phenomena and theories of typical development in children and adolescents ...

Exphil provides an introduction to basic philosophical questions about knowledge and ethics. The course consists of three main parts, corresponding to the three themes: knowing, being and doing. Part ...

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, ...

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 ...