<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>physics716 on Modulhandbuch Physik/Astronomie der Universität Bonn</title><link>/MHB_test/tags/physics716/</link><description>Recent content in physics716 on Modulhandbuch Physik/Astronomie der Universität Bonn</description><generator>Hugo -- gohugo.io</generator><language>de-de</language><atom:link href="/MHB_test/tags/physics716/index.xml" rel="self" type="application/rss+xml"/><item><title>physics716</title><link>/MHB_test/docs/PO2006/mhb_msphysik/courses/physics716/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>/MHB_test/docs/PO2006/mhb_msphysik/courses/physics716/</guid><description>Statistical Methods of Data Analysis (E) - physics716 Course Statistical Methods of Data Analysis (E) Course No. physics716 Category Type Language Teaching hours CP Semester Elective Lecture with exercises English 2&amp;#43;1 4 ST Requirements: Preparation: Form of Testing and Examination: Requirements for the examination (written): successful work with the exercises Length of Course: 1 semester Aims of the Course: Provide a foundation in statistical methods and give some concrete examples of how the methods are applied to data analysis in particle physics experiments Contents of the Course: Fundamental concepts of statistics, probability distributions, Monte Carlo methods, fitting of data, statistical and systematic errors, error propagation, upper limits, hypothesis testing, unfolding Recommended Literature: R.</description></item><item><title>physics716</title><link>/MHB_test/docs/PO2014/mhb_msphysik2/courses/physics716/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>/MHB_test/docs/PO2014/mhb_msphysik2/courses/physics716/</guid><description>Statistical Methods of Data Analysis (E) - physics716 Course Statistical Methods of Data Analysis (E) Course No. physics716 Category Type Language Teaching hours CP Semester Elective Lecture with exercises English 2&amp;#43;1 4 ST Requirements for Participation: Preparation: Form of Testing and Examination: Requirements for the examination (written): successful work with the exercises Length of Course: 1 semester Aims of the Course: Provide a foundation in statistical methods and give some concrete examples of how the methods are applied to data analysis in particle physics experiments Contents of the Course: Fundamental concepts of statistics, probability distributions, Monte Carlo methods, fitting of data, statistical and systematic errors, error propagation, upper limits, hypothesis testing, unfolding Recommended Literature: R.</description></item></channel></rss>