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.
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 switch online due to the pandemic, an announcement will be made).
Lecture List
6.10: Introductory Lecture
13.10: Eva Schernhammer – Epidemiology Methods for the Discovery of Clock Principles
20.10: Tanja Zseby – Data Science in Network Security and Communications
27.10: Thomas Trautner, Fazel Ansari & Stefan Dumss
3.11: Moritz Schaefer – Generative AI as a Driver for Biotechnology
10.11: Frank Neffke
17.11: Kateryna Schöning
24.11: Milica Vujovic – Designing with Data: Exploring Evidence-Based Architecture through Data Science
1.12: Jakob Müllner – Data Science Approaches in International Management and Business
15.12: Wolfgang Wagner – Earth observation data science
12.1: Markus Valtiner
19.1: Peter Roth & closing session
