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Data Analysis and Design of Experiments (Statistische Modellierung in der Systembiologie)

Module MW2248

This Module is offered by Associate Professorship of Systems biotechnology (Prof. Kremling).

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 2017 (current)

There are historic module descriptions of this module. A module description is valid until replaced by a newer one.

available module versions
SS 2017SS 2015WS 2014/5

Basic Information

MW2248 is a semester module in German or English language at Master’s level which is offered in summer semester.

This Module is included in the following catalogues within the study programs in physics.

  • Catalogue of non-physics elective courses
Total workloadContact hoursCredits (ECTS)
150 h 60 h 5 CP

Content, Learning Outcome and Preconditions


The course starts with basics of probability theory and statics. Afterwards fundamentals and applications of design of experiments will be taught. Next topics comprise different tools and methods for data analysis: cluster analysis, principal component analysis, and factor analysis.At the end Bayes networks are considered. This type of model allow to reconstruct networks for cellular systems based on experimental data.

Learning Outcome

After visiting the course the participants have understood basic concepts of probability theory and statistics, and their potential for applications for big data sets in microbiology. Based on these concepts, the students are able to set up simple models to describe cellular networks.


Prerequisite for a successful participation is basic mathematical knowledge that is taught at scientific university.

Courses, Learning and Teaching Methods and Literature

Courses and Schedule

VO 2 Data analysis and design of experiments Mon, 14:00–15:30, MW 3414
UE 2 Data analysis and design of experiments Tue, 11:00–12:30, MW 3414

Learning and Teaching Methods

The matter of the course will be taught by sketches on the blackboard and with the help of PowerPoint presentations. Important topics will be recapitulated and will be deepened in exercises. The students get exercise problems that will be solved by the lecturer and will be discussed with the audience. This allows self-control of the students.


Slides used during the lectures will be available for all students in time. Exercise problems will be provided regularly and sample solutions will be discussed with the students.


Books used for the lecture: Multivariate Analysemethoden v. Backhaus, Erichson, Plinke und Weber; Computational Statistics Handbook with MATLAB

Module Exam

Description of exams and course work

The exam will be in form of a 90 minutes written exam. No auxiliary means are allowed. It comprises short questions and calculation tasks. It will be check if the students have understood basic concepts of statistics and statistical modeling.

Exam Repetition

There is a possibility to take the exam in the following semester.

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