4020180197 Statistical Methods of Data Analysis
Digital- & Präsenz-basierter Kurs
Structure / topics / contents
Statistical methods are required to connect a set of noisy and potentially biased measurements with theoretical predictions.
This course investigates the theoretical motivation for how well this can be done, and teaches practical computational implementation using python.
Problem sets will be derived from recent developments in astrophysics and cosmology.
Assigned modules
P22.g
Amount, credit points; Exam / major course assessment
3 SWS, 6 SP/ECTS (Arbeitsanteil im Modul für diese Lehrveranstaltung, nicht verbindlich)