Universität Wien FIND

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220027 VO SPEZI: VO INNO Media Innovation (2020W)


Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first serve).


Language: German

Examination dates


Classes (iCal) - next class is marked with N

Attention: This course will also in WS 2020 take place in purely digital form ("digital teaching") following an institute recommendation.

Students have access to all sessions via Moodle course and there via Collaborate -> "Session beitreten". From 14:45 this function is activated for the respective session; we start punctually at 15:00.

External people interested in the course use the guest link https://eu.bbcollab.com/guest/e7ffe78bcfd8458ab0af6452d60291cb for the sixth and final session on 15.01.2021.

Friday 23.10. 15:00 - 18:00 Digital
Friday 06.11. 15:00 - 18:00 Digital
Friday 20.11. 15:00 - 18:00 Digital
Friday 04.12. 15:00 - 18:00 Digital
Friday 18.12. 15:00 - 18:00 Digital
Friday 15.01. 15:00 - 18:00 Digital


Aims, contents and method of the course

OBJECTIVES: We want to try to understand where/when/how/why the new comes into being in the media industry and where/when/how/why it becomes established/viral/successful.

CONTENTS: We examine media innovations of the past, try to identify a possible historical pattern and venture a look into the future. The keywords are: automation of devices and intellectual production in the 20th/21st century after the automation of material goods production from the 18th/19th century onwards, algorithmization, datafication, mobilization, "smartification" and so on. – Above all, of course, we are currently witnessing the historically unique process of digitization.

METHOD: Own lecture; guest lectures from media scientists and practitioners; literature PDFs and recommended videos/documentations on Moodle; voluntary e-learning tasks to acquire bonus points on Moodle

In the winter semester 2020/21 we are pleased to welcome the following guest speakers with the following presentations in the course (all guest lectures will be in German):

1. Wie funktioniert Informationsextraktion mithilfe von Künstlicher Intelligenz? Semantic Search & Classification Technologies
Francisco De Sousa Webber, https://www.cortical.io, Wien
Freitag 23.10.2020
17:00 – 18:00

2. Unternehmerische Sichtweise auf Medieninnovationen
Helmut Spudich, everything media, http://everythingmedia.eu, Wien
Freitag 06.11.2020
16:00 – 17:00

3. (Big) Data Management unter Wahrung des Datenschutzes: Wie synthetische Daten helfen können
Dr. Paul Tiwald, https://mostly.ai, Wien
Freitag 06.11.2020
17:00 – 18:00

4. Welche aktuellen Entwicklungen gibt es im Bereich Digital Storytelling im internationalen sowie im deutschsprachigen Kontext?
Erwin Schmitzberger, http://digitalstory.at, Wien/Ass. Prof. Daniela Gachago, http://danielagachago.blogspot.com, Cape Peninsula University of Technology, Kapstadt
Freitag 20.11.2020
15:00 – 16:00

5. KI-generierte Inhalte und Immaterialgüterrechte, insbesondere Urheberrecht
RA Prof. (FH) Mag. Dr. Peter Burgstaller, LLM (LSE), https://www.lawfirm.eu, Linz
Freitag 20.11.2020
16:00 – 17:00

6. Künstliche Intelligenz und Deep Learning: Was ist dran am Hype?
Prof. (FH) Univ. Doz. Mag. Dr. Stefan Wegenkittl, FH Salzburg, https://its.fh-salzburg.ac.at/ueber-uns/lehrende/detail/wegenkittl, Salzburg
Freitag 20.11.2020
17:00 – 18:00

7. Einsatzmöglichkeiten von Virtual Reality, Augmented Reality und Mixed Reality in der Medienbranche
Olivier Schaffer, https://vrei.at, Wien
Freitag 04.12.2020
15:00 – 16:00

8. Aktuelle Entwicklungen in der Robotik: Von Educational Robotics bis zu Cobots
Dr. Wilfried Lepuschitz, Practical Robotics Institute Austria, https://pria.at, Wien
Freitag 04.12.2020
16:00 – 17:00

9. Ranking-Algorithmen in Social Media: Wie sie funktionieren und was wir über sie (nicht) wissen (sollen)
Mathias Haas, MBA, https://www.supersocial.at, Wien
Freitag 04.12.2020
17:00 – 18:00

10. From Bitcoin to bloxberg – What is Blockchain and how can I use the technology for my research?
Dr. Sandra Vengadasalam/Friederike Kleinfercher, Max Planck Digital Library, https://www.mpdl.mpg.de, München
Freitag 18.12.2020
16:00 – 17:00

11. Remote Learning & Work in 3D Environments
Mag. David Röthler, http://david.roethler.at, Salzburg
Freitag 18.12.2020
17:00 – 18:00

12. Emerging Social Media – Aktuelle Trends im Bereich Social Media: Welche Funktionen und Plattformen sind im Kommen?
Mathias Haas, MBA, https://www.supersocial.at, Wien
Freitag 15.01.2021
16:00 – 17:00

13. Zukunft der Medien: Bio-Medien
Univ. Prof. Dr. Ingeborg Reichle, Universität für Angewandte Kunst, https://medientheorie.uni-ak.ac.at, Wien/Berlin
Freitag 15.01.2021
17:00 – 18:00

Assessment and permitted materials

EXAM: Take home exam for download on Moodle.

First date is 29th of January 2021, start time is 15:00, deadline is exactly seven days later.

Further dates will be announced.

RESOURCES: All those allowed that comply with good scientific practice. Note: You agree that your submissions will be checked for similarities with the plagiarism software Turnitin.

Minimum requirements and assessment criteria

MINIMUM REQUIREMENTS: Mastery of basic scientific working techniques (scientific research, source criticism, scientific citation, and other formal requirements). Reading and knowledge of the examination literature and PPT-slides.

- The take home exam.
- By voluntarily completing e-learning assignments on Moodle, you will earn "bonus points" and may be able to improve your final grade.

Examination topics

- Collaborate recordings of the sessions (own AND guest lectures) in the Moodle course including all shown slides (own AND guest lectures)
- Other literature listed or uploaded in Moodle (literature for the exam)

Reading list

For introduction into the topic; the exact literature for the exam is listed on Moodle and is also available there in full text versions:

- https://www.dgpuk.de/sites/default/files/DGPuK_Selbstverstaendnispapier-1.pdf

- https://algorithmenethik.de/impulse

- WEBER, Stefan (2018): Roboterjournalismus, Chatbots & Co. Wie Algorithmen Inhalte produzieren und unser Denken beeinflussen. dpunkt/Telepolis

Association in the course directory

Last modified: Fr 21.05.2021 12:08