This module handbook serves to describe contents, learning outcome, methods and examination type as well as linking to current dates for courses and module examination in the respective sections.
Module version of SS 2020
There are historic module descriptions of this module. A module description is valid until replaced by a newer one.
Whether the module’s courses are offered during a specific semester is listed in the section Courses, Learning and Teaching Methods and Literature below.
|available module versions|
|SS 2021||SS 2020||SS 2012||WS 2011/2|
MA2402 is a semester module in German language at Bachelor’s level which is offered in summer semester.
This module description is valid to SS 2021.
|Total workload||Contact hours||Credits (ECTS)|
|150 h||45 h||5 CP|
Content, Learning Outcome and Preconditions
Most of the topics will be illustrated using the statistical programming environment R.
Further they are able to perform basic statistical analyses using R.
MA1002 - Analysis 2
MA1101 - Linear Algebra and Discrete Structures 1
MA1102 - Linear Algebra and Discrete Structures 2
MA1401 - Introduction to Probability Theory
MA8505 - Lab course: Programming with R
Courses, Learning and Teaching Methods and Literature
Courses and Schedule
|VO||2||Statistics: Basics||Czado, C.||
Tue, 10:15–11:45, BC2 BC2 0.01.17
|UE||1||Statistics: Basics (Exercise Session)||Czado, C.||
Tue, 12:00–14:00, BC2 BC2 0.01.16
Wed, 08:00–10:00, MI 02.04.011
Mon, 12:00–14:00, MI 03.08.011
and singular or moved dates
Learning and Teaching Methods
Fahrmeir, Künstler, Pigeot, Tutz (2010). Statistik - Der Weg zur Datenanalyse, Springer.
Georgii, H.-O. (2007). Stochastik, De Gruyter.(begleitend)
Young und Smith (2010). Essentials of Statistical Inference, Cambridge University Press.
Description of exams and course work
The exam may be repeated at the end of the semester.