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Physics (Master of Science) >>
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Methods of Data Analysis I (MoDA)- Lecturers
- Prof. Dr. Stefan Funk, Dr. Dmitry Malyshev
- Details
- Vorlesung
, ECTS studies, ECTS credits: 5, Sprache Englisch
Time and place: Mon 10:00 - 12:00, SRTL (307)
- Fields of study
- WF Ph-BA ab 5
WF Ph-MA ab 1
- ECTS information:
- Title:
- Methods of Data Analysis I
- Credits: 5
- 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. 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 computer (python language), which will be useful for the data analysis in the context of a Bachelor / Master thesis.
The topics will include:
Part I. Probability and statistics
Introduction to statistics and probability theory Special distibutions: Gaussian, Poisson, Multinomial Parameter estimators of the distribution (mean, variance, bias etc.) Multi-dimensional distributions Random sampling
Part II. Statistical interpretation of measurements
- 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: 15, Maximale Teilnehmerzahl: 30
www: https://www.studon.fau.de
- Assigned lectures
- UE: Exercises to "Methods of Data Analysis I"
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Lecturers: Prof. Dr. Stefan Funk, Dr. Dmitry Malyshev
Time and place: Thu 15:00 - 17:00, CIP-Pool in der Physik
- Verwendung in folgenden UnivIS-Modulen
- Startsemester SS 2019:
- Methods of data analysis I (PW-MoDA)
- Department: Chair of Physics
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