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, ...
Curious what it’s really like to be an international student at UiO? Join our live webinar as international student ambassadors share practical, honest insights on housing, budgeting, part‑time work ...
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 ...
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 ...
For students interested in the nervous system, this course in neurophysiology covers the basic principles of neuron signalling and interactions that underlie brain function, spanning from the function ...
This course explains the basics of renewable and non-renewable resource exploitation and management and the relation between fossil fuel extraction and climate change. It covers open access and ...
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 ...
Gynaecology and Obstetrics, Paediatrics, Child Psychiatry, Pharmacology, Pathology, Clinical Biochemistry, Medical Genetics, Medical Ethics, Behavioural Sciences, Public Health, and General Practice.
The course provides insight on how to formulate a problem into statistical language, how to build a statistical model, how to analyse data and how to validate results. Regession methods (that is ...
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 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 aims to provide students with a comprehensive insight into the molecular mechanisms underlying cancer development and into cancer treatment. Among the topics covered are tumor viruses, ...