194.046 Interdisciplinary Lecture Series on Data Science
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2019W, VU, 1.0h, 1.0EC

Properties

  • Semester hours: 1.0
  • Credits: 1.0
  • Type: VU Lecture and Exercise

Learning outcomes

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.

Subject of course

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

 

Teaching methods

Lectures. Then answering questions in TUWEL.

Mode of examination

Immanent

Additional information

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

 

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Fri12:00 - 13:0004.10.2019 - 24.01.2020EI 8 Pötzl HS Lectures
Interdisciplinary Lecture Series on Data Science - Single appointments
DayDateTimeLocationDescription
Fri04.10.201912:00 - 13:00EI 8 Pötzl HS Lectures
Fri11.10.201912:00 - 13:00EI 8 Pötzl HS Lectures
Fri18.10.201912:00 - 13:00EI 8 Pötzl HS Lectures
Fri25.10.201912:00 - 13:00EI 8 Pötzl HS Lectures
Fri08.11.201912:00 - 13:00EI 8 Pötzl HS Lectures
Fri22.11.201912:00 - 13:00EI 8 Pötzl HS Lectures
Fri29.11.201912:00 - 13:00EI 8 Pötzl HS Lectures
Fri06.12.201912:00 - 13:00EI 8 Pötzl HS Lectures
Fri13.12.201912:00 - 13:00EI 8 Pötzl HS Lectures
Fri10.01.202012:00 - 13:00EI 8 Pötzl HS Lectures
Fri17.01.202012:00 - 13:00EI 8 Pötzl HS Lectures
Fri24.01.202012:00 - 13:00EI 8 Pötzl HS Lectures

Examination modalities

Questions about the lectures to be answered in TUWEL.

Course registration

Begin End Deregistration end
01.10.2019 12:00 30.10.2019 23:55 30.10.2019 23:55

Curricula

Study CodeSemesterPrecon.Info
066 645 Data Science 1. Semester

Literature

No lecture notes are available.

Miscellaneous

  • Attendance Required!

Language

English