Technische Universität Ilmenau

Current challenges in digital communication research - Modultafeln of TU Ilmenau

The Modultafeln have a pure informational character. The legally binding information can be found in the corresponding Studienplan and Modulhandbuch, which are served on the pages of the course offers. Please also pay attention to this legal advice (german only). Information on place and time of the actual lectures is served in the Vorlesungsverzeichnis.

subject properties Current challenges in digital communication research in major Master Medien- und Kommunikationswissenschaft/Media and Communication Science 2013
subject number101885
examination number2500405
department
ID of group 2559 (Kommunikationswissenschaft mit Schwerpunkt Computational Communication Science)
subject leaderProf. Dr. Emese Domahidi
term Wintersemester
languageenglisch
credit points6
on-campus program (h)22
self-study (h)158
Obligationobligatory elective
examalternative examination performance
details of the certificate

The grades will be based on the following:

  1. class participation – 50% – students are encouraged to take part in discussions/presentations and practical parts;
  2. short paper – 50% – at the end of the semester students are required to submit a short paper (max. 2 pages) on their small projects on automated text analysis.

 

maximum number of participants
previous knowledge and experience

R knowledge is not required, however appreciated. Basic introduction to programming will be provided.

 

learning outcome

Students are recommended to attend the research module „Computational Communication Research” (Prof. Domahidi) in parallel to the seminar in order to get hands-on experience of working with digital data and R. Learn and practice automated text analysis techniques.  

content

Current challenges in digital communication research: Introduction to Computational Communication Science

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 is designed to provide a basic understanding of computational methods that can be employed to collect and process large amounts of textual data. The course is a combination of theory and practice. To build a theoretical basis, we will hold general discussions based on home readings. To practice the newly learned skills, we will do some exercises in R. Students will train to apply various automated text analysis methods, which have become an essential skill for every communication specialist today. Knowledge received in the class can be further applied in the field of journalism, marketing, and advertising.

Students are recommended to attend the research module „Computational Communication Research” (Prof. Domahidi) in parallel to the seminar in order to get hands-on experience of working with digital data and R.

 

media of instruction
literature / references

R knowledge is not required, however appreciated. Basic introduction to programming will be provided.

evaluation of teaching