Methoden und Datenanalyse in der Biophysik 1

What it is about

In this module you will learn methods of data analysis and typical measurement processes in biophysics. You will practice statistics, error analysis, noise consideration, data sampling and filtering, as well as basics of scanning force microscopy (AFM) and simple Bayesian statistics, so that you can critically evaluate measurement data and perform basic analysis tasks independently.

What you will be able to do

• apply basic statistical methods
• critically examine measured data and uncertainties
• understand how noise in physical systems can be utilized
• know and apply basics of data sampling and filtering
• understand the operating principle and applications of scanning force microscopy
• apply basic Bayesian statistics to simple problems

What the module consists of

• LecturesConveying the specialist content and discussion of current research examples
• Self-studyIndependent processing and analysis of current research examples

Teaching method

• Lecture/Presentation/Board workfor introduction and systematic conveyance of the content
• Self-study and scientific discussionto actively apply lecture content, analyze examples and evaluate scientifically
• Textbooks and professional literaturefor deepening the covered topics