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 begin at 12:00 sharp (except for the Introductory Lecture at 12:15)

Lecture List

4th Oct: Introductory Lecture (begins 12:15 sharp)

18th Oct: Peter Klimek, Section for Science of Complex Systems, Med. Uni. Wien

25th Oct: David Garcia, Complexity Science Hub

22nd Nov: Prof. Dieter Pahr, Research Group for Computational Biomechanics, TU Wien

29th Nov: Lukas Kölbl, Accenture

6th Dec: Ingo Zechner, Ludwig Boltzmann Institute for Digital History

13th Dec: Prof. Wolfgang Wagner, Department of Geodesy and Geoinformation, TU Wien/EODC

10th Jan: Marcus Presich, Raiffeisen Digital

17th Jan: Prof. Sophie Lecheler, Political Communication Research Group, University of Vienna

24th Jan: Prof. Markus Valtiner, Applied Interface Physics, TU Wien (followed by 30 minutes feedback and information on other courses in the module)

Questions about the lectures to be answered in TUWEL.