[s24] Planetary Science (Rab)

[s24] High Energy Astrophysics (Chon)

[s24] Astrophysik I (Birnstiel)

Dieses Seminar gibt einen Einblick in verschiedene astrophysikalische Aspekte des Sonnensystems. 

Zielgruppe: Vorrangig Studierende im Studiengang "Bachelor Physik/ Astronomie".

[s24] Statistical Methods: An Introduction (Weller)

The confrontation of theories with data is at the core of modern sciences. In astrophysics state of the art statistical methods are used to assess and improve models. In this course you will learn from first principles the basics of Bayesian statistics. The course aims that you gain an intuition of which methods to apply in different situations. An important concept is the role of priors. It is only in comparison to prior knowledge that data can inform you about a model. In particular we will study the following topics:

Foundations of Bayesian Statistics
Parameter Estimation - Simple Cases
Parameter Estimation - Advanced Topics
Model Selection
Probabilities
Non-parametric estimation
Design of Experiments
Extensions of Least-Square Methods
Monte Carlo Markov Chain Sampling

The core of the course is not just the lecture. You will learn with hands on problem sheets to tackle statistical problems with the help of experienced tutors.