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2026-2027 / COMU0434-1

Public and interpersonal communication in the digital space

Duration

30h Th

Number of credits

 Master in multilingual communication, professional focus in digital media education (Réinscription uniquement, pas de nouvelle inscription)5 crédits 

Lecturer

Björn-Olav Dozo, Jeremy Hamers

Language(s) of instruction

English language

Organisation and examination

Teaching in the first semester, review in January

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

In 2026-2027, the course Public and Interpersonal Communication in the Digital Space will focus on various applications, devices and tools incorporating artificial intelligence (text and image generation, translation, data processing, among others). By addressing, in particular, the history of these technologies, as well as the ethical, aesthetic, and ontological questions they raise, the course aims to foster a genuine cross-fertilization between practices and theories. The aim, therefore, will not be to oppose, in a process of mutual verification, a set of critical theories to a set of technologies and practices that shape them. Rather, the course will reconsider how AI and various theories drawn from the fields of media studies, public sphere studies, and the digital humanities can critically engage with and question one another.

Learning outcomes of the learning unit

The aim of the course is to provide students with the theoretical tools and empirical knowledge essential for developing a critical, yet non-technophobic, approach to AI. By the end of the course, they will be able to identify, problematize, and constructively critique a range of possible uses of AI across various professional sectors broadly related to public and interpersonal communication.

Prerequisite knowledge and skills

Planned learning activities and teaching methods

The first sessions will take the form of ex-cathedra lectures (providing a historical and theoretical introduction), interspersed with periods devoted to viewing and reading AI-generated productions. The course will then adopt a flipped-classroom approach: students will be invited to complete readings at home, which will subsequently serve as the basis for in-class discussions.

Mode of delivery (face to face, distance learning, hybrid learning)

Blended learning

Course materials and recommended or required readings

Platform(s) used for course materials:
- eCampus
- Microsoft Teams


Further information:

Platform(s) used for course materials:
- eCampus


Further information:

The slideshows (PowerPoint presentations), the texts seen in class and the assigned readings will be made available to the students via eCampus.

 

Exam(s) in session

Any session

- In-person

written exam AND oral exam

Written work / report


Further information:

Exam(s) in session

Any session

- In-person

oral exam

Written work / report


Further information:

Each student will be assessed on the basis of an individual project that will take two successive forms. First, each student will give a 30-minute oral presentation during the final class session. Second, at the beginning of the January examination session, each student will submit a digital version of their research and analytical project, which may take the form of a podcast, poster, series of posts or reels, website, educational video, or any other type of digital communication production of their choice. This final version of the project will be defended individually in an oral examination during the examination session.

Work placement(s)

Organisational remarks and main changes to the course

The schedule will be prepared in consultation with students.

Contacts

Björn-Olav Dozo
bo.dozo@uliege.be
+32 4 366 52 14

Jeremy Hamers
jhamers@uliege.be
+32 4 366 32 44

Association of one or more MOOCs