This week 19.-23.10. the autumn school Urban Data Science takes place as a online course set up together by GIScience Heidelberg and the Institute for Transport Studies (IfV), KIT. It is part of an ongoing application for a HeiKA (Heidelberg Karlsruhe Strategic Partnership) project that would foster joint teaching modules between GIScience HD and IfV KIT.
The autumn school is lead by Tamer Soylu (KIT), Tessio Novack (GIScience) and Sven Lautenbach (HeiGIT). In addition to talks by experts from business and research the autumn school consists of practical labs on data science in the domain of urban transportation. Prof. Vortisch (KIT) and Prof. Zipf (HD) introduce their respective research fields.
Participants consist of Master students of Geography and Mobility and Infrastructure from Heidelberg and KIT.
