Statistisches Lernen und Datenanalyse für Verkehrssysteme

What it is about

You receive a modern overview of statistical learning methods and big-data analytics with a focus on applications in the transportation sector. By the end you will be able to select appropriate methods, assess their assumptions and limits, and practically apply and interpret analysis methods to real datasets using R (or alternatively Matlab/Python).

What you will be able to do

• select suitable statistical learning and data analysis methods for traffic datasets
• understand the goals, assumptions and limits of the methods
• practically apply methods with R (or Matlab/Python) and interpret results
• critically evaluate analyses in the scientific literature

What the module consists of

• LectureConveying concepts and methods using slides, whiteboard and discussions
• Practical exercisesApplication of the methods to real datasets with open-source software

Teaching method

• Lecture with integrated practical exercisesIntroduction to concepts, presentation of available quantitative methods and demonstration on real datasets