Computational Communication Research - Interactive curriculae of TU Ilmenau

In the summer semester students will review the literature, develop research questions and build small research teams to conduct their research. Students have to participate actively in discussions and present their research ideas. Students will summarize the theoretical perspective, previous research and their own research questions as well as planned method in a paper (pre-registration).

In the winter semester, students will conduct their research and apply computational methods for data gathering and analysis. Students will analyze the collected data and present their results to their peers.

Students have to participate actively in discussions and present their research ideas. Students will analyze their data, present results and conclusions, and describe them in a term paper. In order to pass the course as a whole, students have to pass each single achievement.

Prof. Dr. Emese Domahidi

This module contains at least one alternative exam part. Please note that this must usually be registered at the beginning of the semester in which it is offered.
The lecturer and/or the examination office will inform you about the details and time periods. If necessary, be sure to ask the lecturer.

Familiarity with empirical methods and quantitative data analysis in communication research

Data analysis software skills (e. g. R, Python) are a plus, however, not mandatory.

It is highly recommended to attend before or parallel to the research module the specialization module "Introduction to computational communication science".

Understanding of the research logic and the basic principles of qualitative and quantitative research methods in social science

Students can review relevant literature on selected topics in digital media research. Students are familiar with relevant computational approaches (e.g. computational text analysis, network analysis). On the basis of recommended readings participants discuss and evaluate findings, theoretical perspectives and applied methods.

Students can work in small research groups and develop own research questions based on earlier literature.

Students are able to apply selected computational methods for data collection and analysis in a communication science research project.

Students can present and describe their results and critically evaluate their approach and computational methods.

The research module deals with selected current topics in digital communication research. In order to answer according research questions, we will collect and analyze digital data via computational methods (e.g. computational text analysis).

All materials will be made available on Moodle.

 Will be announced each semester.