Module Mathematics 2, Computer Science (Bachelor) (ER 8)

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Module summary

Mathematics 2

INFB240

Prof. Dr.-Ing. Astrid Laubenheimer

/

2nd Semester

Mathematik 1

none

Written Exam 90 Min. (graded)
Course Analysis

INFB241.a

Lecture

Prof. Dr.-Ing. Astrid Laubenheimer

German

5/4

150 hours in total, including 60 hours of contact study.

Module exam

Course Statistics

INFB241.b

Lecture

Prof. Dr. Patrick Baier

German

3/2

90 hours in total, including 30 hours of contact study.

Module exam

The statistics lecture teaches skills in handling and analyzing empirical data, as well as an introduction to probability theory.


Students learn to analyze and model data by seeing common statistical methods and models in action, which will enable them to apply static methods to evaluate data themselves.


The contents of the lecture include:


  • Basic concepts of probability calculation
  • Probability distributions
  • Independence from random variables conditional probabilities
  • Excerpts from descriptive and inferential statistics.

Teschl G. und Teschl S. Mathematik für Informatiker. Band 1 und Band 2. Springer Verlag. Zum Beispiel 3. Auflage 2010.

Faculty of Computer Science and Business Informatics, Department of Computer Science