Introduction to computational communication science - Interactive curriculae of TU Ilmenau
The interactive curriculae provide information on the degree programmes offered by the TU Ilmenau.
Please refer to the respective study and examination rules and regulations for the legally binding curricula (Annex Curriculum).
You can find all details on planned lectures and classes in the course catalogue.
Please note that this page is no longer updated. All modules and study plans from PO version 2021 onwards (Bachelor and Master study programs) are now available on the Campus Portal.
| module properties module number 101938 - common information | |
|---|---|
| module number | 101938 |
| department | Department of Economic Sciences and Media |
| ID of group | 2559 (Kommunikationswissenschaft mit Schwerpunkt Computational Communication Science) |
| module leader | Prof. Dr. Emese Domahidi |
| language | englisch |
| term | Wintersemester |
| previous knowledge and experience | R knowledge is not required, however appreciated. |
| learning outcome | During the course we will learn theoretical background behind the field of computational social and communication science. |
| content | 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. |
| media of instruction and technical requirements for education and examination in case of online participation | https://moodle2.tu-ilmenau.de/course/index.php?categoryid=520 |
| literature / references | |
| evaluation of teaching | |
| Details reference subject | |
|---|---|
| module name | Introduction to computational communication science |
| examination number | 2500432 |
| credit points | 6 |
| SWS | 6 |
| on-campus program (h) | 67.5 |
| self-study (h) | 112.5 |
| obligation | obligatory module |
| exam | alternative examination performance |
| details of the certificate | The grades will be based on the evaluation of a short term paper. |
| link to Moodle course | |
| teacher | |
| signup details for alternative examinations | Dieses Modul enthält mindestens eine alternative semesterbegleitende Abschlussleistung. Bitte beachten Sie, dass diese in der Regel schon zu Beginn des Semesters, in dem diese angeboten wird, angemeldet werden muss. 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. |
| maximum number of participants | 30 |
| Details in degree program Master Medien- und Kommunikationswissenschaft/Media and Communication Science 2013 | |
|---|---|
| module name | Introduction to computational communication science |
| examination number | 90379 |
| credit points | 6 |
| on-campus program (h) | 22 |
| self-study (h) | 158 |
| obligation | elective module |
| exam | multiple performances |
| details of the certificate | The grades will be based on the evaluation of a short term paper. |
| link to Moodle course | |
| signup details for alternative examinations | |
| maximum number of participants | |
|
Details
in degree program
Master Medien- und Kommunikationswissenschaft/Media and Communication Science 2013 ATTENTION: not offered anymore |
|
|---|---|
| module name | Introduction to computational communication science |
| examination number | 2500432 |
| credit points | 6 |
| on-campus program (h) | 22 |
| self-study (h) | 158 |
| obligation | elective module |
| exam | alternative examination performance |
| details of the certificate | The grades will be based on the evaluation of a short term paper. |
| link to Moodle course | |
| signup details for alternative examinations | Dieses Modul enthält mindestens eine alternative semesterbegleitende Abschlussleistung. Bitte beachten Sie, dass diese in der Regel schon zu Beginn des Semesters, in dem diese angeboten wird, angemeldet werden muss. 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. |
| maximum number of participants | 30 |