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Advanced Optical Technologies (Master of Science) >>
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Methods of Data Analysis I (MoDA)- Lecturer
- Prof. Dr. Anna Nelles
- Details
- Vorlesung
Online/Präsenz
2 cred.h, ECTS studies, ECTS credits: 5
für FAU Scientia Gaststudierende zugelassen, Sprache Englisch
Asynchrone Lehrveranstaltung, There will be prerecorded videos to prepare a shorter lecture.
Time and place: Thu 12:00 - 14:00, HF
- Fields of study
- WF Ph-BA ab 5
WF Ph-MA ab 1
- ECTS information:
- Title:
- Methods of Data Analysis I
- Credits: 5
- Prerequisites
- To successfully follow this lecture basic knowledge of Python is advantageous.
Alternatively, participants should be willing to learn how to program alongside this class.
It is recommended to first complete: Datenverarbeitung in der Physik (DV)
- Contents
- The lectures provide an overview of the most important methods for the statistical evaluation of the measured data.
It lays the foundation for bachelor and master theses in experimental physics, which require the analysis of data.
In the first part of the lectures we will deal with the basics of statistics and probability theory.
The second part of the lectures provides an introduction to measurement error and error calculation, parameter estimates and confidence intervals.
For some of the exercises we will use the computer (programming in Python) and provide practical examples preparing towards Bachelor and/or Master Theses.
The topics will include:
Part I. Probability and statistics
Introduction to statistics and probability theory Special distributions: Gaussian, Poisson, Binomial, ... Parameter estimators of the distribution (mean, variance, bias etc.) Multi-dimensional distributions Random sampling, Monte Carlo programs
Part II. Statistical interpretation of measurements
Least squared method, Chi2 fitting Maximal likelihood Bayesian statistics Estimation of confidence intervals Binned and unbinned analysis
- Literature
- W. J. Metzger: "Statistical Methods in Data Analysis"
Roger J. Barlow: "Statistics: A Guide to the Use of Statistical Methods in the Physical Sciences", ISBN-10: 0471922951
- Additional information
- Expected participants: 30, Maximale Teilnehmerzahl: 50
www: https://www.studon.fau.de/crs4363305_join.html
- Assigned lectures
- PF: Exam Methods of Data Analysis I
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Lecturer: Prof. Dr. Anna Nelles
Time and place: single appointment on 22.8.2022 14:00 - 16:00, HG, HH
- UE ([hybrid]):Exercises to "Methods of Data Analysis I"
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Lecturer: Prof. Dr. Anna Nelles
Time and place: Thu 10:00 - 12:00, 14:00 - 16:00, CIP-Pool in der Physik; comments on time and place: One of the available slots should be chosen.
www: https://www.studon.fau.de/crs4363305_join.html
- Verwendung in folgenden UnivIS-Modulen
- Startsemester SS 2022:
- Methods of data analysis I (PW-MoDA)
- Department: Professur für Experimentelle Astroteilchenphysik, insbesondere Radionachweis von Neutrinos
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