ZURb1616 Digital Trends and New-Smart-AI Media

Faculty of Social Studies
Spring 2023
Extent and Intensity
1/1/0. 4 credit(s). Type of Completion: zk (examination).
Teacher(s)
Katalin Fehér (seminar tutor)
Mgr. Iveta Jansová, Ph.D. (seminar tutor)
Guaranteed by
Mgr. Iveta Jansová, Ph.D.
Department of Media Studies and Journalism – Faculty of Social Studies
Contact Person: Mgr. Boris Rafailov, Ph.D.
Supplier department: Department of Media Studies and Journalism – Faculty of Social Studies
Timetable
Wed 8. 2. 14:00–19:40 AVC, Thu 9. 2. 8:00–11:40 AVC, 14:00–17:40 AVC, Fri 10. 2. 8:00–11:40 AVC
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20
fields of study / plans the course is directly associated with
there are 35 fields of study the course is directly associated with, display
Course objectives (in Czech)
Smart environments and AI-based services are shaping the new media trends. This course provides a project-based introduction into the contemporary digital media. Students will understand the engines of digital transformation via emerging technologies and their social-cultural adaptations. The ultimate goal is to prepare the participants for their tech-media related future jobs on media, journalism, marketing or PR as upcoming trends.
Learning outcomes (in Czech)
Students will be able to:
understand digital transformation
analyse the emerging digital technologies in social-cultural context
manage New-smart-AI media-based productions
develop the critical approaches on contemporary digital media
Syllabus (in Czech)
  • Introduction
  • Digital transformation in society, culture and business Trends in digital media
  • Project work: new media service
  • Project presentation: new media production
  • Trends in smart services
  • Project work: smart media services
  • Project presentation: smart media production
  • Trends in AI technology
  • Project work: AI-based media services
  • Project presentation: AI-based media production
  • Summary and feedback
Literature
  • Feher, K., Vicsek, L. & Deuze, M. Modeling AI Trust for 2050: perspectives from media and info-communication experts. AI & Soc (2024). https://doi.org/10.1007/s00146-023-01827-6
  • Couldry, N. (2008). Mediatization or mediation? Alternative understandings of the emergent space of digital storytelling. New Media & Society, 10(3), 373-391. https://doi.org/10.1177/1461444808089414
  • Feher, K. (2021). Digital identity and the online self: Footprint strategies – An exploratory and comparative research study. Journal of Information Science, 47(2), 192-205. https://doi.org/10.1177/0165551519879702
  • K. Feher, "Trends and business models of new-smart-AI (NSAI) media," 2020 13th CMI Conference on Cybersecurity and Privacy (CMI) - Digital Transformation - Potentials and Challenges(51275), Copenhagen, Denmark, 2020, pp. 1-6, doi: 10.1109/CMI51275.2020.9
Teaching methods (in Czech)
lecture and seminar
Assessment methods (in Czech)
Project presentation in teamwork: new media production - 30%
Project presentation in teamwork: smart media production - 30%
Project presentation in teamwork: AI-based media production - 40%
Language of instruction
English
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Spring 2021, Spring 2022.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/fss/spring2023/ZURb1616