WS 2019 SS 2020
WS 2019
WS 2018 SS 2019
Department of Physics
open chemistry
KVL / Klausuren / MAP 1st HS: 14.10  2nd HS: 09.12  sem.br.: 17.02  begin SS: 12.04

4020195132 Statistical Methods of Data Analysis  VVZ 

VL
Mon 11-14
weekly NEW 14 1'10 (16) Judith Katzy
UE
Mon 14-15
14-day NEW 14 1'10 (16) Judith Katzy
Aims
- Probabilitydensity
- Statistical test of hypotheses and siginficance
- 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)
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