In this course there will be established project groups of 3-4 people that are to work together with a project over one whole semester. The topic for the project will be within renewable energy, ...

read and understand the notation and analyses of a wide class of models in the scientific literature, including foundational topics in microeconomics formulate and formalize a wider range of models ...

This course gives an introduction to the quantum mechanics of many-body systems and the computational methods relevant for many-body problems in such diverse areas as atomic, molecular, solid-state ...

This course is designed to introduce master students to interdisciplinary perspectives on the medieval history of Northern Europe with a particular focus on Scandinavia and the North Sea world in the ...

Societies must transform to reduce their dependence on carbon-based energy sources and protect the environment. Such transitions must be just to reduce social and geographical inequality on both ...

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 ...

The course will provide knowledge in different uses of parallelism in a multi-core computer and especially provide insight into how and when Java can be used to develop parallel programs which can be ...

Coping with climate change and securing a clean and biodiversity rich environment are pressing challenges to modern societies. It will require transitions of political procedures, social structures, ...

The course introduces the condensed matter physics on a broad basis. The main objective is to provide an overview of different types of materials and illustrate how their properties depend on the ...

The course gives a comprehensive overview over modern Natural Language Processing (NLP) with main emphasis on probabilistic and machine learning techniques. Methodology for experiments based on ...

The course provides an introduction to applied statistics. The students will learn how data should be organized and interpreted and how to draw conclusions from data. The course provides a basis for ...

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 ...