The interests and topics of our chair
In research as well as in teaching, we deal with various methods around the processing of data (relevant for mobility, transport and economics). The methods used and/or investigated range from the (pre)processing and visualization of data, to the identification and modeling of correlations and patterns in the data (by means of machine learning), to their optimization.
In addition to the pure knowledge extraction from data, we are also interested in methodological issues, such as user-friendliness, efficiency, plausibility, robustness and reliability of the generated models, or 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.