Technische Universität Ilmenau

Current challenges in computational communication science - Modultafeln of TU Ilmenau

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module properties Current challenges in computational communication science in degree program Master Medien- und Kommunikationswissenschaft/Media and Communication Science 2013
module nameCurrent challenges in computational communication science
module number101883
departmentDepartment of Economic Sciences and Media
ID of group 2559 (Kommunikationswissenschaft mit Schwerpunkt Computational Communication Science)
module leaderProf. Dr. Emese Domahidi
credit points6
obligationelective module
certificate of the module Individual achievements or exams
details of the certificate

The grades will be based on the evaluation of a short term paper.


alternative examination performance due to COVID-19 regulations incl. technical requirements
signup details for alternative examinations
learning outcome

Today, it is difficult to imagine our lives without Wikipedia, Google, Facebook, Instagram, iPhones, Wi-Fi, YouTube, Twitter, and other advances of the digital era. Spending most of our lives online, we leave digital footprints of our daily interactions and activities. Yes, all the pictures of kittens you liked last year on Facebook are now a part of traceable digital data available for social science research. We now have a unique opportunity to collect enormous amount of data on social behavior of human beings. However, the volume and heterogeneity of "big data" constitutes a challenging task for social scientists often discouraging them from analyzing precious material.

This course will focus mostly on social and communication science providing at the same time the very basic understanding of new computational methods that can be employed to collect and process ”big data”. Important topics, such as ethics and availability of digital data, will be reviewed in the seminar. Students will get a glimpse at the methods of automated text analysis, which has become an essential skill for every communication specialist. Knowledge received in the class can be further applied in the field of journalism, marketing, and advertising.

This course provides the necessary background to the theory of computational communications science. Students are recommended to take the research modules „Computational Communication Research” in parallel to the seminar in order to get hands-on experience of working with digital data and R.


The module contains the following subjects:
Current challenges in computational communication science
credit points6
obligationelective module
certificate of the modulealternative examination performance
term Sommersemester