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.
The interdisciplinary lecture series is part of the Domain-specific aspects module in the Data Science curriculum and forms a thematic block together with 194.068 Domain-Specific Lectures in Data Science, as well as the project course 194.047 Interdisciplinary Project in Data Science.
It introduces problem settings in different domains such as Architecture, Earth Observation, Chemistry, Waste Water Processing, and many others. These lectures form the basis for choosing the Interdisciplinary Project, and provide an initial guidance to the domain-specific lectures associated with the respective domain.
Lectures. Then answering questions in TUWEL.
The link to the online lectures is in TUWEL.
All talks begin at 12:00 sharp (except for the Introductory Lecture at 12:15). The lectures are held in presence (if the lectures must swith online due to the pandemic, an announcement will be made).
7.10: Introduction
14.10: Viktoria Motsch
21.10: Andreas Baumann
28.10: Jakob Müllner, Harald Puhr
4.11: Sebastian Bachmann
11.11: Georg Madsen
18.11: Theresa Madreiter, Thomas Trautner, Christoph Pollak
25.11: Eva Schernhammer
2.12: Tanja Zseby
9.12: Ottavia Zoboli
16.12: Wolfgang Wagner
13.1: Sophie Lecheler
20.1: Markus Valtiner & closing session
Questions about the lectures to be answered in TUWEL.
