The course covers hydrodynamics where capillary and viscous forces play a role. It also covers simulation methods, thermodynamics and statistical physics relevant to porous media. have knowledge of ...

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 ...

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, ...

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 ...

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 ...

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 ...

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

This course provides a geographical and critical perspective to global development, with a focus on energy in the Global South. The goal is to introduce students to the fundamental challenges related ...

Students admitted at UiO must apply for courses in Studentweb. Students enrolled in other Master's Degree Programmes can, on application, be admitted to the course if this is cleared by their own ...

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 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 ...

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 ...