4020205028 Statistical Methods of Data Analysis
Digital- & Präsenz-basierter Kurs
- classroom language
- DE
- aims
- - Probabilitydensity
- Statistical test of hypotheses and significance
- parameter estimates, confidence intervals and limits
- unfolding
- classification and statistical learning
- structure / topics / contents
- Statistical methods for data analysis in particle and astrophysics will be discusses. These methods are necessary to interpret experimental results and compare them to theory. In addition, the course gives an introduction to machine learning methods (such as neuronal networks and boosted decision trees) which are commonly used in data analysis.
This course investigates the theoretical motivations and teaches practical computational implementation using python.
Problem sets will be derived from recent developments in elementary physics and astrophysics.
- assigned modules
-
P25.1.c
- amount, credit points; Exam / major course assessment
- 3 SWS, 6 SP/ECTS (Arbeitsanteil im Modul für diese Lehrveranstaltung, nicht verbindlich)
written or oral exam.
- contact
- Judith Katzy (Judith.katzy@desy.de)