After the extended nomination deadline on October 10, the election board at MN has approved 3 candidates for the temporary academic staff for the 2026 faculty board elections. Read about the ...

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 provides an overview of a range of resources and practical bioinformatic tools that are used in molecular biology. Scientists actively developing and applying bioinformatic tools in their ...

The energy system is undergoing a fundamental change from being carbon intensive to zero carbon, so as to achieve the goals according to the Paris Agreement of limiting global mean surface temperature ...

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 ...

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 has joint teaching with ECON9300B – Advanced Macroeconomic Theory. Macroeconomic theory with main emphasis on dynamic general equilibrium models. Mathematical tools for modern dynamic ...

The course provides an introduction to the design, use, and interaction, where the focus is on interaction and interplay between people and digital technology. The course deals with research into 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 ...

Ultrasound imaging is a technique used in medicine, sonar, non-destructive testing, and beyond. This course explains the fundamentals of acoustic imaging, beamforming, and ultrasound imaging modes.

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 ...

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, ...