The interests and topics of our chair
In research as well as in teaching, we deal with statistical methods for processing and analyzing complex and often multidimensional data from the fields of mobility, transportation, and economics. The methods include the (pre)processing and visualization of data, the identification and modeling of correlations and patterns, as well as the prediction of future events and the optimization of the underlying models and algorithms.
In addition to the extraction of knowledge from the data, we are interested in methodological questions, such as those relating to the user-friendliness, efficiency, plausibility, robustness, and reliability of the methods, and to the factors that influence algorithmic decisions.
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Data Analytics Using R
Our teaching activities cover important aspects of the Bachelor's program in Verkehrswirtschaft (Transportation Economics, German only), as well as the Master's program in Transportation Economics (English).
In the two degree programs mentioned above, we are mainly responsible for the focus areas on data analytics. In all our courses, the (open source) statistical software R forms an integral part. The large variety of R packages enables us to integrate software for efficient preprocessing of data, for the creation of interactive visualizations, as well as for the generation of complex machine learning models.