Faculty of Mathematics and Natural Sciences Department of Physics auf deutsch


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Digitale Angebote sind optional.

winter sem. 2021
Last update: 21.04.22 14:17:52



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WS 2022 SS 2022
WS 2021
WS 2020 SS 2021
Department of Physics
open chemistry
KVL / Klausuren / MAP 1st HS: 18.10  2nd HS: 13.12  sem.br.: 21.02  begin SS: 17.04

4020215094 Statistical Methods of Data Analysis  VVZ 

VL
Mon 9-11
weekly NEW 15 2'101 (24) Timothee Theveneaux-Pelzer
UE
Wed 17-18
weekly NEW 15 2'101 (24) Timothee Theveneaux-Pelzer

Digital- & Präsenz-basierter Kurs

Aims
- General introduction to probability theory
- Probability densities and random variables
- 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 discussed. These methods are necessary to interpret experimental results and compare them to theory. More advanced topics (such as machine learning and unfolding) will also be introduced.

This course investigates the theoretical motivations and teaches practical computational implementation using python or C++.

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.
Other
The lecture and problem class are likely to be hold in person. The course will be held in English.
Contact
Timothée Theveneaux-Pelzer (tpelzer@physik.hu-berlin.de)
Moodle link:
http://moodle.hu-berlin.de/course/view.php?id=107641
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