Our universe presents us with a tantalizing riddle, namely to understand the structure of its “dark sector”. This sector includes the dark matter, which could be a new particle and/or black holes. The course will provide an introduction to the topic of dark matter as a whole and discuss some candidates. In the second part, the course links to the topic of neural networks, which are becoming powerful tools to tackle deep questions in fundamental physics, including the structure of the dark sector. Finally, networks show up in the fundamental physics of the universe in a different way, namely as a proposal for the deep structure of spacetime itself. This course will link a theoretical overview of some of the most exciting questions in fundamental physics with applications that bridge the gap to computer science and is suitable for students with a range of different backgrounds in physics (both applied and theoretical), computing and mathematics.

Academic preconditions:
Students taking the course are expected to:
- have knowledge of classical mechanics and basic knowledge of special relativity.
- [Optional] basic differential calculus and fundamental skills of Python.

Admission/Tuition:
Exchange students from a partner university pay no tuition.
Guest students pay tuition fees. Please read more: https://www.sdu.dk/en/Uddannelse/SDU_summer_school/Fees

For Further Information:
Information from the Danish Agency for Higher Education can be located at http://en.fivu.dk/. You will find information about the Danish assessment of foreign qualifications in Guide to diploma recognition. About the Educational System in general, visit the section The Danish Higher Education System.