Warning! The directory is not yet complete and will be amended until the beginning of the term.
220027 VO SPEZI: VO INNO Media Innovation (2019W)
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
Details
Language: English
Examination dates
-
Tuesday
28.01.2020
17:45 - 19:15
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
UZA2 Hörsaal 8 (Raum 2Z206) 2.OG - Wednesday 04.03.2020 16:45 - 18:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
- Monday 27.04.2020 16:45 - 18:15 Hörsaal 1 2A120 1.OG UZA II Geo-Zentrum
- Tuesday 23.06.2020
Lecturers
- Homero Gil de Zuniga
- Aytalina Kulichkina (Student Tutor)
Classes (iCal) - next class is marked with N
- Tuesday 08.10. 17:45 - 19:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
- Tuesday 15.10. 17:45 - 19:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
- Tuesday 22.10. 17:45 - 19:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
- Tuesday 29.10. 17:45 - 19:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
- Tuesday 05.11. 17:45 - 19:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
- Tuesday 12.11. 17:45 - 19:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
- Tuesday 19.11. 17:45 - 19:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
- Tuesday 26.11. 17:45 - 19:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
- Tuesday 03.12. 17:45 - 19:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
- Tuesday 10.12. 17:45 - 19:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
- Tuesday 17.12. 17:45 - 19:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
- Tuesday 07.01. 17:45 - 19:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
- Tuesday 14.01. 17:45 - 19:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
- Tuesday 21.01. 17:45 - 19:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Information
Aims, contents and method of the course
Assessment and permitted materials
Assessment will be based on the following course requirement:
Final Exam: 100%The course and the exam will be held in English.UPDATE DUE TO COVID-19 MEASURES:
The examination on 23 June 2020 will be held online on Moodle. There will be 8 short-answer questions worth 5 points each and 2 open-ended questions worth 30 points each. Please read the announcements on Moodle regularly for details and updates.
Final Exam: 100%The course and the exam will be held in English.UPDATE DUE TO COVID-19 MEASURES:
The examination on 23 June 2020 will be held online on Moodle. There will be 8 short-answer questions worth 5 points each and 2 open-ended questions worth 30 points each. Please read the announcements on Moodle regularly for details and updates.
Minimum requirements and assessment criteria
The grading scheme reads as follows:
A = 1 (Very Good): 87 - 100%
B = 2 (Good): 75 - 86,99%
C = 3 (Satisfactory): 63 - 74,99%
D = 4 (Enough): 50 - 62,99%
F = 5 (Not Enough): 00 - 49,99%
A = 1 (Very Good): 87 - 100%
B = 2 (Good): 75 - 86,99%
C = 3 (Satisfactory): 63 - 74,99%
D = 4 (Enough): 50 - 62,99%
F = 5 (Not Enough): 00 - 49,99%
Examination topics
The exam accounts for 100% of your total grade. The exam will include both MC and open questions that will be based on the material presented in class. The first chance to take the exam will take place on Tuesday, January 28th at regular class time.UPDATE DUE TO COVID-19 MEASURES:
The examination on 23 June 2020 will be held online on Moodle. There will be 8 short-answer questions worth 5 points each and 2 open-ended questions worth 30 points each. Please read the announcements on Moodle regularly for details and updates.
The examination on 23 June 2020 will be held online on Moodle. There will be 8 short-answer questions worth 5 points each and 2 open-ended questions worth 30 points each. Please read the announcements on Moodle regularly for details and updates.
Reading list
Association in the course directory
Last modified: Th 31.10.2024 00:14
An exploration of digital/multimedia journalism and its impact on traditional media
New communication science theories – “Self-Effects”, “News-Finds-Me Perception”
Virtual Augmented Reality
Algorithmic Journalism & Machine Learning
Algorithmic Social Media / Incidental Exposure based on Social Media Recommendations / Echo Chambers
Artificial Intelligence
Agent-Based ModellingToday’s media consumption requires mastering multiple technologies. The main goals of this course are:
1. To develop skills to better analyze the impact of new technologies on traditional journalism, mainstream media, and social media
2. To differentiate between opportunities and risks of new technologies regarding their impact on society and individuals
3. To learn new communication science theories regarding innovations in the media sector
4. To understand the Internet and social media as a publishing platform.
5. In addition, you will gain personal insight and self-knowledge about your role in the field of journalism.The course and the exam will be held in English.