Vorlesung Statistische Methoden der Datenanalyse (Wintersemester 2010/2011)

Welcome to the home page of the lecture
Statistical Methods of Data Analysis (P23.1.2)
with Practical Exercises

Dr. Ulrich Husemann
Humboldt-Universität zu Berlin, Winter Semester 2010/2011

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Latest News

(02/17/11) Transparencies for 15th (and final) lecture, TMVA macro and sample ROOT file are online.
(02/10/11) Transparencies for lectures 12 and 14 now avalable.

Latest News
(02/17/11) Transparencies for 15th (and final) lecture, TMVA macro and sample ROOT file are online. (02/10/11) Transparencies for lectures 12 and 14 now avalable.

Synopsis

Analyzing and correctly interpreting experimental data plays a key role in the modern world, all the way from basic research to finance. A physics student will likely encounter statistical data analysis for the first time in his first lab course. In this lecture we will discuss the basics of statistical data analysis and applications of statistics in physics. During the practical exercises we will apply data analysis methods using the ROOT data analysis package. .
The lecture is part of the curriculum for the "Monomaster" in physics but is well-suited for bachelor students starting from the third semester.

Syllabus:

Basics of Statistics
Probability Functions
Random Samples
Monte Carlo Methods
Parameter Estimation
Hypothesis Testing
Statistical Classification

Classification:

Part of the module P23.1.2b ("Aktuelle Probleme der experimentellen Teilchenphysik")
Target audience: mono-master in physics, major subject experimental particle physics
Suited for all master students and bachelor students (second year and above)
Useful knowledge: basic calculus and linear algebra

Synopsis
Analyzing and correctly interpreting experimental data plays a key role in the modern world, all the way from basic research to finance. A physics student will likely encounter statistical data analysis for the first time in his first lab course. In this lecture we will discuss the basics of statistical data analysis and applications of statistics in physics. During the practical exercises we will apply data analysis methods using the ROOT data analysis package. . The lecture is part of the curriculum for the "Monomaster" in physics but is well-suited for bachelor students starting from the third semester.
Syllabus:
Basics of Statistics Probability Functions Random Samples Monte Carlo Methods Parameter Estimation Hypothesis Testing Statistical Classification
Classification:
Part of the module P23.1.2b ("Aktuelle Probleme der experimentellen Teilchenphysik") Target audience: mono-master in physics, major subject experimental particle physics Suited for all master students and bachelor students (second year and above) Useful knowledge: basic calculus and linear algebra

Dates, Times, Locations:

Lecture: Thursday, 11—13 c.t. NEW 15 Room 3'101 U. Husemann

Exercises: Monday, 15—17 c.t. (bi-weekly) NEW 15 Room 1'427 (Pool) V. Ferrara

First Exercise: Monday, October 25, 2010, 15:15, NEW 15, 1'427 (Introduction to ROOT)


Lecture:	Thursday, 11—13 c.t.	NEW 15	Room 3'101	U. Husemann
Exercises:	Monday, 15—17 c.t. (bi-weekly)	NEW 15	Room 1'427 (Pool)	V. Ferrara
First Exercise:	Monday, October 25, 2010, 15:15, NEW 15, 1'427 (Introduction to ROOT)

Contact: Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, D-15738 Zeuthen, Room 3L/27
E-Mail: ulrich.husemann@desy.de, Telefon: 033762-7-7392

Created by Ulrich Husemann — Last modified: Thu Feb 17 18:33:11 CET 2011 — DESY Imprint