Lecture on Data Analysis: Additional Material

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

Home — Problem Sets — Additional Material — Vorlesungsverzeichnis

Transparencies:

Lecture 1 (October 21, 2010)
Lecture 2 (October 28, 2010)
Lecture 3 (November 4, 2010)
Lecture 4 (November 11, 2010)
Lecture 5 (November 18, 2010)
No slides shown in Lecture 6 (November 25, 2010)
Lecture 7 (December 2, 2010)
Lecture 8 (December 16, 2010)
Lecture 9 (January 6, 2011)
Lecture 10 (January 13, 2011)
Lecture 11 (January 20, 2011)
Lecture 12 (January 27, 2011)
No slides shown in Lecture 13 (February 3, 2011)
Lecture 14 (February 10, 2011)
Lecture 15 (February 17, 2011)

Transparencies:
Lecture 1 (October 21, 2010) Lecture 2 (October 28, 2010) Lecture 3 (November 4, 2010) Lecture 4 (November 11, 2010) Lecture 5 (November 18, 2010) No slides shown in Lecture 6 (November 25, 2010) Lecture 7 (December 2, 2010) Lecture 8 (December 16, 2010) Lecture 9 (January 6, 2011) Lecture 10 (January 13, 2011) Lecture 11 (January 20, 2011) Lecture 12 (January 27, 2011) No slides shown in Lecture 13 (February 3, 2011) Lecture 14 (February 10, 2011) Lecture 15 (February 17, 2011)

Further material

TMVA macro training a Fisher discriminant and a neural network (Lecture 15) and sample ROOT file.
Likelihood Function Macro (Lecture 8)
Numerical Recipes, THE standard for scientific computing

Further material
TMVA macro training a Fisher discriminant and a neural network (Lecture 15) and sample ROOT file. Likelihood Function Macro (Lecture 8) Numerical Recipes, THE standard for scientific computing

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

Created by Ulrich Husemann — Last modified: Thu Feb 17 18:32:42 CET 2011 — DESY Imprint