Module Mathematics 2, Media Computer Science (Bachelor) (ER 5)

English language
Compact font

Color scheme

Module summary

Mathematics 2

MINB2505

Prof. Dr.-Ing. Astrid Laubenheimer

/

2nd Semester

none

none

Written Exam 120 Min. (graded)
Course Analysis

MINB2514.a

Lecture

Prof. Dr.-Ing. Astrid Laubenheimer

German

4/4

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

Module exam

Course Statistics

MINB2514.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