In this course, students set up a corpus study to describe a set of pictures in terms of their visual content. Teams of students iteratively develop an annotation model to describe a picture corpus, along the lines of diagnosis, implementation, and evaluation.
This introduces the field of corporate communications and focuses on how organizations create and manage their brand identities in the context of changing media environments and especially, AI.
This course addresses the complex nature of different forms of external communication; recognize that communication is more than a tool but an integral part of the discursive performative process of being and doing a company.
This course equips students with practical skills and tools for the analysis of discourse, that is the different expressive forms of communication in particular contexts such as health communication, communication in educational contexts, corporate and organizational communication, or environmental communication.
This course introduces students to the study of digital communication. Students will get to know the central linguistic, cognitive, and social issues concerning digital communication. The main emphasis of the course is how different technologies affect ways of communicating and interacting, particularly in the contexts of algorithmic and AI cultures.
This course shows how data from social media can be used to address central questions in the social sciences, and in turn, how key findings from the social sciences can inform the design and evaluation of social media.
This course introduces multimodal communication, i.e. communication that involves multiple expressive resources or modalities. It will discuss a variety of communicative artefacts and performances that combine verbal text, images, sound, video, animations, etc. to convey a certain message and analyse the ways these expressive forms combine.