WS 2013 SS 2013
WS 2012
WS 2011 SS 2012
Department of Chemistry
open physics
KVL / Klausuren / MAP 1st HS: 15.10  2nd HS: 10.12  sem.br.: 16.02  begin SS: 06.04

4020125082 Statistical Methods of Data Analysis  VVZ 

VL
Mon 9-11
weekly NEW 14 1'13 (21) Gernot Maier
UE
Tue 17-19
14-day NEW 15 1'427 (24) Bagmeet Behera
Aims
The lecture will give an introduction into statistical data analysis and discuss physics applications. The students will gain further insight into the methods of statistical data analysis by working on practical exercises using the ROOT program library.
Requirements
No formal requirements, some previous knowledge of calculus and linear algebra will be useful.
Structure / topics / contents
* Basic Introduction to Statistics
* Probability Distributions
* Random Samples
* Monte Carlo Methods
* Parameter Estimation
* Hypothesis Testing
* Statistical Classification
Assigned modules
P23.1.2b P23.1
Amount, credit points; Exam / major course assessment
3 SWS, 5 SP/ECTS (Arbeitsanteil im Modul für diese Lehrveranstaltung, nicht verbindlich)
Part of module 23.1.2a (oral exam at the end of the entire module), credit points can be earned by reaching at least 50% of the achievable score in the problem sets.
Contact
Dr. Ulrich Husemann, ulrich.husemann@desy.de, DESY (Zeuthen): Room 3L/27, HU: NEW15 2/412
Literature
Cowan, G.. Statistical Data Analysis. Oxford University Press
Barlow, R. J.. Statistics: A Guide to the Use of Statistical Methods in the Physical Sciences. Wiley
Brandt, S.. Datenanalyse. Spektrum
Blobel, V. und Lohrmann, E.. Statistische und numerische Methoden der Datenanalyse. Teubner
Bohm, G. und Zech, G.. Introduction to Statistics and Data Analysis for Physicists. DESY
Quod vide:
http://www-zeuthen.desy.de/~husemann/teaching/2010_ws/datenanalyse/
executed on vlvz1 © IRZ Physik, Version 2019.1.1 vom 24.09.2019 Fullscreen