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.

2018W, VU, 1.0h, 1.0EC

Properties

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

Aim of course

Interdisciplinary Lecture Series on domain-specific challenges in Data Science

Subject of course

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

5 October 2018: Introduction

12 October 2018: Prof. Markus Valtiner, Applied Interface Physics, TU Wien: Chemical physics at solid liquid interfaces: Methods and data in corrosion, tribology and adhesion science

9 November 2018: Prof. Andreas Grüneis, Institute for Theoretical Physics, TU Wien: Solving the Schrödinger equation for real materials using computational methods

23 November 2018: Peter Klimek, Section for Science of Complex Systems, Med. Uni. Wien: Understanding and predicting disease by means of multiplex comorbidity networks

30 November 2018: Prof. Wolfgang Wagner, Department of Geodesy and Geoinformation, TU Wien/EODC: Making Use of Earth Observation Data

7 December 2018: Günther Tschabuschnig, CIO, ZAMG: ZAMG - Data Management

14 December 2018: Prof. Dominik Eder, Institute of Materials Chemistry, TU Wien: Materials Design Strategies in Heterogeneous Photocatalysis

21 December 2018: Prof. Jörg Krampe, Institute for Water Quality and Resource Management, TU Wien: Data in Water Quality Management

11 January 2019: Prof. Georg Madsen, Institute of Materials Chemistry, TU Wien: Density functional approximations in quantum chemistry

18 January 2019: Prof. Tanja Zseby, Institute of Telecommunications, TU Wien:  Data Sciences in Network Security and Communications

25 January 2019: Prof. Tina Wakolbinger, Institute for Transport and Logistics Management, WU Wien: Introduction to Humanitarian Logistics (in EI10)


 

 

Additional information

All talks begin at 12:00 sharp

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Fri12:00 - 13:0005.10.2018 - 25.01.2019EI 8 Pötzl HS Lectures
Fri12:00 - 14:0025.01.2019EI 10 Fritz Paschke HS Lecture and Feedback
Interdisciplinary Lecture Series on Data Science - Single appointments
DayDateTimeLocationDescription
Fri05.10.201812:00 - 13:00EI 8 Pötzl HS Lectures
Fri12.10.201812:00 - 13:00EI 8 Pötzl HS Lectures
Fri19.10.201812:00 - 13:00EI 8 Pötzl HS Lectures
Fri09.11.201812:00 - 13:00EI 8 Pötzl HS Lectures
Fri16.11.201812:00 - 13:00EI 8 Pötzl HS Lectures
Fri23.11.201812:00 - 13:00EI 8 Pötzl HS Lectures
Fri30.11.201812:00 - 13:00EI 8 Pötzl HS Lectures
Fri07.12.201812:00 - 13:00EI 8 Pötzl HS Lectures
Fri14.12.201812:00 - 13:00EI 8 Pötzl HS Lectures
Fri21.12.201812:00 - 13:00EI 8 Pötzl HS Lectures
Fri11.01.201912:00 - 13:00EI 8 Pötzl HS Lectures
Fri18.01.201912:00 - 13:00EI 8 Pötzl HS Lectures
Fri25.01.201912:00 - 13:00EI 8 Pötzl HS Lectures
Fri25.01.201912:00 - 14:00EI 10 Fritz Paschke HS Lecture and Feedback

Course registration

Begin End Deregistration end
02.10.2018 12:00 31.10.2018 23:55 31.10.2018 23:55

Curricula

Study CodeSemesterPrecon.Info
066 645 Data Science 1. Semester

Literature

No lecture notes are available.

Miscellaneous

  • Attendance Required!

Language

English