WHY SHOULD I BOTHER VOTING?
Because we, the elected Study Representatives, can directly influence your studies!
With your vote we are able to
- offer all our cool events like parties, workshops, talks etc.
- enable freshers a pleasant start into the studies with our Freshers’ Tutorials
- continiously improve your study conditions by working on your curriculum
- help you when you have questions, problems and other concerns and
- represent you effectively in the university!
You can find the official tasks of a Study Representation here (German).
Our 5 candidates are independet from political parties and only want to change your studies for the better!
To be able to continue to offer all of the above we need your voice! Please go voting!
WHAT DO I NEED TO DO?
At the elections you are eligible to vote for three different tiers:
- Study Representation (German: Studienvertretung, StV) – 5 votes for Study Representatives (our 5 candidates!)
- University Student Representation (Universitätsvertretung, UV) – 1 vote for a UV list
- Federal Student Representation (Bundesvertretung, BV) – 1 vote for a BV list
Keep in mind: if you are a foreign and/or an exchange student and paid the Student Union fee (aka ÖH Beitrag) you are eligible to vote during the ÖH Elections as well!
That means that you don’t have only one but 5 votes for the candidates of the Study Representation!
WHEN AND WHERE?
Mon, 27.05.19, 10:00-19:00
Tue, 28.05.19, 09:00-19:00
Wed, 29.05.19, 08:00-14:00
WHO ARE THE CANDIDATES OF FS WINF?
Our 5 candidates for the Study Representation Elections for Business Informatics and Data Science are (from left to right on the picture):
- GYENES László
- KOWARIK Martin
- KRONEDER Michael
- SINGH Manpreet
- ZLATUNIĆ Ivana
You can see their introductions here. Other candidates on the ballot are not official candidates of the Fachschaft.
FACHSCHAFTSLISTE TU WIEN
Apart from the Study Representation you can also vote for the University Student Representation. You are allowed to vote for exactly one list.
We, Fachschaft Wirtschaftsinformatik und Data Science, recommend Fachschaftsliste TU Wien. They are independent from political parties and did a good job in the recent past.
You can find the principles of Fachschaftsliste TU Wien as well as some examples of their good work on fltuwien.at (German).