Administrivia

Emergent Technologies & Media (ETM)

Andy Weeger

Neu-Ulm University of Applied Sciences

September 23, 2025

Discussion

What to you expect from this course?

General remarks

In this course you will dive into key emerging technologies, get to know their key characteristics and fields of application as well as important ethical considerations related to their implementation and use.

As to that, you will

• get to know my theoretically-grounded hypotheses on future technology and media,
• apply these learnings and and expertise gained in previous semesters to analyze an emergent technology,
• identify fields for application and as well as (ethical) implications,
• and present and discuss your findings in a presentation (solo).

Learning objectives

During this course, you should advance your skills in the following areas:

• understanding of the key characteristics of emerging technologies in general, the process and phases of technology emergence, as well as specific characteristics of emerging information technologies/digital technologies,
• knowledge of fields of application of current merging digital technologies, their impact on (information) systems used by individuals, organizations, and society, as well as media
• understanding of potentials and risks for individuals, economies and societies,
• communication of conclusions and the underlying knowledge,
• and social and ethical responsibilities in uncertain and ambiguous contexts.

Effort

2 ECTS
≈ 60 h workload
≈ 24 h classes
+ 36 h self learning

You will gain 2 ECTS for this course. This equals approx. 60 hours workload, of which you need most to pass the course.

• Lectures (approx. 24 hours)
• Preparation (approx. 8 hours)
• Presentation (remaining time)

It is very important that you reserve enough time to attend the classes AND prepare your presentation (see Table 1 for details).

Examination

You will be graded on your understanding of emergent digital technologies, their characteristics and implications, and your ability to critically discuss these topics.

The examination will be oral (20 minutes).

Schedule

It is of importance that you prepare yourself for the sessions and work on the presentation continually. Please prepare your schedule accordingly.

Date	Topic	Preparation
09.10.25	Administrivia & Introduction	—
16.10.25	H1 Multimodality and Immersion Pt. 1	Suh & Prophet (2018)
23.10.25	H1 Multimodality and Immersion Pt. 2	—
30.10.25	H1 Multimodality and Immersion Pt. 3	—
30.10.25	H2 Intelligence and Affection Pt. 1	—
06.11.25	Self-study (consolidation)	—
13.11.25	H2 Intelligence and Affection Pt. 2	Dellermann et al. (2019)
20.11.25	H2 Intelligence and Affection Pt. 3	—
27.11.25	H3 Interconnectedness and Distributivity Pt. 1	—
04.12.25	H3 Interconnectedness and Distributivity Pt. 2	Podcast1
11.12.25	H3 Interconnectedness and Distributivity Pt. 3	—
18.12.25	H4 Mobility and Ubiquity Pt. 1	Podcast2
08.01.25	H4 Mobility and Ubiquity Pt. 2	—
15.01.25	H4 Mobility and Ubiquity Pt. 3	—
22.01.25	Exam Preparation	—

Table 1: Schedule for the summer term of 2025 (subject to change)

Q&A

Literature

Dellermann, D., Ebel, P., Söllner, M., & Leimeister, J. M. (2019). Hybrid intelligence. Business & Information Systems Engineering, 61, 637–643.

Suh, A., & Prophet, J. (2018). The state of immersive technology research: A literature analysis. Computers in Human Behavior, 86, 77–90.

Footnotes

1. Decoder podcast: Google CEO Sundar Pichai on AI-powered search and the future of the web; episode can be found on every major podcast platform or here

2. Decoder podcast: Why Mark Zuckerberg thinks AR glasses will replace your phone; episode can be found on every major podcast platform or here