Kristin har en doktorgrad i kunsthistorie fra UiO. Hun kom til IFIKK fra stillingen som direktør ved Det norske institutt i Roma, var i delt stilling mellom DniR og IFIKK i hele 2024, men er nå hos ...

This course is an introduction to relevant topics in informatics for students with a health background. It covers foundational aspects of informatics, such as programming, databases, networks, ...

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 this course is to teach students new approaches of multi-omic data analysis to study gene expression regulation in healthy and disease tissues. The course will present different ...

The field of machine learning is devoted to building methods that identify patterns in data, in order to make automated predictions or decisions. Machine learning is becoming an increasingly important ...

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The Global-MINDS summer school is a course only for students admitted to the Global-MINDS European MA program. Over the course of two weeks, it brings all students within the program together with ...

This course aims to provide students with an understanding of the principles and tools aimed at building capabilities needed to tackle the challenges to sustainable health and healthcare. The course ...

In this course, students will conduct an independent study of a topic within British Studies. The exact question for investigation will be decided by the student and approved by the teacher ...

Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb. If you are not already enrolled as a student at UiO, ...

The aim of the course is to make the participants familiar with statistical regression methods frequently applied in epidemiology. This will make participants a better equipped for following the ...

The course will give fundamental knowledge and experience with methods and tools for data collection, quality checks, data structures, preparation of data for analyses and statistical methods.