Big Data Science in Astronomy - Einzelansicht

Due to the COVID-19 pandemic, this course will be taught online via Zoom. We will switch to a hybrid format (presence teaching and Zoom) if the COVID situation permits.
After signing up for this course in PULS, I will send you an email with the Zoom link and the enrollment key for the Moodle course where you can find the lecture material.

Introduction to Astronomy and Astrophysics

This course will give an overview on data mining and machine learning techniques and their applications in the analysis of current and upcoming large astronomical data sets (e.g. SDSS, Pan-STARRS, DESI, 4MOST, LSST). Addressed topics include (1) classical and Bayesian statistical inference, (2) supervised machine learning for object classification and regression problems, (3) unsupervised machine learning and dimensionality reduction techniques, (4) time series analyis of variable sources.

MSc Astrophysics, MSc Physics, graduate students