After successful completion of the course, students are able to understand lectures from multiple disciplines and depict their relation to Data Science. This forms the basis for selecting an inter-disciplinary project.

Problem settings in different domains such as Architecture, Earth Observation, Chemistry, Waste Water Processing

Lectures. Then answering questions in TUWEL.

All talks are from 12:15 to 13:15. On the 27th of June from 12:15 to 13:45.

Lecture List

7 March: Introduction
14 March: Sebastian Bachmann (TU Wien), computational biomechanics, bone modelling
21 March: Nils Wlömert (WU Wien), marketing modelling, e-commerce
11 April: Andreas Baumann (Uni Wien), digitale Linguistik
18 April: Gottfried Mandlburger (TU Wien), geoinformation, bathymetry
25 April: Christian Windischberger (MedUni Wien), neuroscience, biomedical engineering, fmri-imaging
2 May: Eddie Lee (Complexity Science Hub), small and large living patterns
16 May: Annie Waldherr (Uni Wien), computational communication science
23 May: Silvia Kritzinger (Uni Wien), political behaviour, electoral research
6 June: Eva Schöll (BOKU), wildlife biology, population ecology
13 June: Georg Madsen (TU Wien), theoretical materials chemistry
20 June: Viktor Kalman (TU Wien), computational fluid dynamics
27 June: Peter Klimek (Complexity Science Hub), complex socio-economic systems

Questions about the lectures to be answered in TUWEL.