The Rectors and Presidents of Circle U. and the Circle U. Student Union have been following with great attention the ...

Circle U. and other university alliances are paving the way for a new form of European collaboration in higher education, ...

Candlelight concerts bring the magic of a live, multi-sensory musical experience like never seen before. Discover the music ...

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 ...

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 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 gives an introduction to numerical methods for solving problems in physics and chemistry, i.e. methods for solving ordinary and partial differential equations, matrix operations and ...

In this course you will learn about the relationships between different calculation models, formal languages, their limitations and complexity. The special admission requirements may also be covered ...

This is a course in basic mathematical and logical methods. Emphasis is placed on understanding and applying mathematical concepts and notation relevant to a study in computer science. The course ...

The course is intended to give a conceptual understanding of the basic techniques available for analysing and interpreting epidemiological data on infectious diseases. The course should provide the ...

The course provides an introduction to basic concepts of visualization and computer graphics. Key objectives of the course are to introduce useful tools and concepts for scientific visualization. It ...

This course provides an introduction to key concepts and methods in bioinformatics. Emphasis will be put on review of efficient algorithms, data structures, and techniques used in current applications ...