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 ...
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, ...
Quantum computing (QC) is a cross-disciplinary area that draws from quantum physics, computer science and mathematics. Recent advances in building quantum computers are bringing QC from a purely ...
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 ...
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 ...
Decision-making in the healthcare sector often involves selecting from a set of alternatives. For example, healthcare providers face discrete choices when deciding which diagnostic test to conduct, ...
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 ...
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 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 ...
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 ...
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 gives a comprehensive overview over modern Natural Language Processing (NLP) with main emphasis on probabilistic and machine learning techniques. Methodology for experiments based on ...