6 ECTS credits
150 h study time
Offer 1 with catalog number 4021524FNR for all students in the 1st semester at a (F) Master - specialised level.
Students will (1) gain advanced knowledge of social science research methods that are used to research new types of data (e.g. hyperlinks, social media networks, algorithmes, …), (2) learn to use these new types of data to answer existing research questions and (3) learn to formulate new research questions (e.g. on social surveillance, algorithmic trading, … ), that arise as a consequence of the digitalization and interconnectedness of data. Students will learn the basics of data science, but also critically reflect upon the methodological implications of these changes for the social sciences methodology. Regarding the innovation process of ICTs, students will learn about the management of software development cycles and the interdisciplinary playground when designing, implementing and evaluation of new ICTs.
There is a two hour session each week during 13 weeks. Echt session will consist out of a lecture, followed by student discussion and discussion of a scientific paper on digital methods or innovation methods.
After taking the classes students should be able to:
Critically engage with the ethical, legal and social issues related to digital social research and more generally, the use of social research methods to study ICTs and their social implications.
The final grade is composed based on the following categories:
Written Exam determines 50% of the final mark.
Practical Exam determines 50% of the final mark.
Within the Written Exam category, the following assignments need to be completed:
Within the Practical Exam category, the following assignments need to be completed:
.
This offer is part of the following study plans:
Master of Communication Studies: New Media and Society in Europe
Master of Communication Studies: Journalism and Media in Europe