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 ...

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 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 ...

Sustainable development is the red thread throughout this course. The course builds on the principle of sustainable development and analyses how it is reflected in main international treaties on the ...

Classic approaches in data analysis are based on a static (or predefined) procedure for both collecting and processing data. Modern approaches deal with the adaptive procedures which in practice ...

This course is a continuation of high school calculus, but goes deeper into the theoretical foundations and develops the methods further in order to deal with more complicated cases. The course also ...

Nanochemistry combine chemical and solid-state chemistry toward synthesis and characterization of building blocks that depends on size, shape (faceting), surface, defects and chemical composition to ...

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 ...

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 ...

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 ...

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 ...