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Introduction to Data Analysis

Course 0000000655 in SS 2020

General Data

Course Type lecture
Semester Weekly Hours 2 SWS
Organisational Unit Hadronic Structure and Fundamental Symmetries
Lecturers Boris Grube
Dates Mon, 14:00–16:00, virtuell

Assignment to Modules

  • PH2099: Einführung in die Datenanalyse / Introduction to Data Analysis
    This module is included in the following catalogs:
    • Specific catalogue of special courses for nuclear, particle, and astrophysics
    • Complementary catalogue of special courses for condensed matter physics
    • Complementary catalogue of special courses for Biophysics
    • Complementary catalogue of special courses for Applied and Engineering Physics

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks The lecture will give an introduction into the basic techniques for the analysis of experimental data. It will cover among other things the following topics: - The scientific method - The concept of probability and its interpretations - Bayes' theorem - Random variables - Probability distributions and their moments - Important distributions: binomial, multinomial, Poisson and Gaussian distribution - Multivariate distributions - Marginal and conditional probability distributions - Covariance and correlation coefficient - Functions of (multiple) random variables - Central limit theorem - Gaussian uncertainty propagation for n-dimensional functions and covariance matrix - Statistical and systematic uncertainties - Parameter estimation using the method of least squares - Estimating the goodness of fit - Parameter estimation using the (extended) maximum-likelihood method - Relation between least-squares and maximum-likelihood method - Estimating the significance of a signal
Links E-Learning course (e. g. Moodle)
TUMonline entry

Equivalent Courses (e. g. in other semesters)

SemesterTitleLecturersDates
SS 2024 Introduction to Data Analysis Märkisch, B. Thu, 14:00–16:00, PH 3268
Thu, 14:00–16:00, PH HS1
SS 2021 Introduction to Data Analysis Grube, B. Mon, 14:00–16:00
SS 2019 Computerbased Data Analysis Grube, B. Mon, 14:00–16:00, Interims I 101
SS 2018 Computerbased Data Analysis Grube, B. Mon, 14:00–16:00, PH 3268
SS 2017 Computerbased Data Analysis Grube, B. Tue, 14:00–16:00, PH 3268
SS 2016 Computerbased Data Analysis in Nuclear and Particle Physics Grube, B. Tue, 14:00–16:00, PH 3268
and dates in groups
WS 2014/5 Computerbased Data Analysis in Nuclear and Particle Physics Grube, B. Tue, 14:00–16:00, PH 3268
and dates in groups
WS 2012/3 Computerbased Data Analysis in Nuclear and Particle Physics Friedrich, J. singular or moved dates
and dates in groups
WS 2011/2 Computerbased Data Analysis in Nuclear and Particle Physics Friedrich, J. singular or moved dates
and dates in groups
WS 2010/1 Computerbased Data Analysis in Nuclear and Particle Physics 1 singular or moved dates
and dates in groups
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