Data Science in Teaching

14:00 ‐ 18:00

  • Symposium

The Data Science Initiative is organizing a symposium on Data Science in Teaching. Data science skills become more and more important in all BOKU disciplines. Therefore, we want to exchange experiences with existing courses and ideas for new approaches. We invite researchers and lecturers from all Departments to join us for discussions on how to better prepare our students.


14:00 Opening 

14:15 Keynote:
Vice Rector for Teaching, Karsten Schulz:
Necessary digital tools for a successful professional practice. 

15:00 Coffee Break 

15:30 - 17:10 Contributed Talks 

15:30 Enrico Soranzo, Institute of Geotechnical Engineering (IGT):
Course on Artificial Intelligence in Geotechnical Engineering  

15:50 Emma Izquierdo-Verdiguier, Institute of Geomatics:
Advanced methods in remote sensing: machine learning and cloud computing  

16:10 Yusak Susilo and Martyna Fidler, Institute of Transport Studies (IVe):
Data Science in Daily Transport Science  

16:30 Drazen Petrov, Institute of Molecular Modeling and Simulation (MMS):
Teaching programming and data analysis with python  

16:50 Moritz Feigl, Christoph Klingler and Matthias Medl, (former) PhD Students:
A student’s perspective 

17:10 - 17:30 Discussion 

with plenty of opportunities to network with your colleagues during a coffee break and some refreshments after the Symposium. 

Event location
Hörsaal XXI
Emil-Perels-Haus, Muthgasse 18, 1190 Wien
Institute of Statistics
More information
Registration required
register here
Language: English
Public: Yes
Entrance fee: No