Technische Universität Ilmenau

IP - Qualitative, Quantitative and Computational Analysis Methods - Modultafeln of TU Ilmenau

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module properties module number 200192 - common information
module number200192
departmentDepartment of Economic Sciences and Media
ID of group2559 (Kommunikationswissenschaft mit Schwerpunkt Computational Communication Science)
module leaderProf. Dr. Emese Domahidi
languageEnglisch
term Sommersemester
previous knowledge and experience

Knowledge of the techniques of scientific work, basic understanding of empirical research, basic knowledge of descriptive statistics and inferential statistics

learning outcomeBased on recommended materials, students independently got to know and understand the research process and gained an overview of selected analysis methods and research designs of empirical communication research (e.g. qualitative: qualitative content analysis of interview protocols, 2. quantitative: secondary analysis of survey data, 3. computational: computer-aided text analysis of social media data).After completing the exercise, students will have in-depth knowledge of the selected qualitative, quantitative or computer-aided analysis methods and will be able to apply these methods in data analysis for communication science projects. Students know specific software solutions (e.g. R, MAXQDA) that they can use for their data analysis.


contentAs an interdisciplinary subject, communication science benefits in particular from a variety of analysis methods, which include quantitative methods as well as qualitative methods or so-called computational methods of analysis. In this module we focus on selected qualitative, quantitative and computational analysis methods in the field of communication science.

Recommended materials for self-study provide an overview of the basics of selected qualitative, quantitative and computational analysis methods. The statistical/methodological basics are covered as well as examples from research practice.

In exercises, students work on a data analysis  research project with a qualitative, quantitative or computational focus and thus deepen the knowledge they have acquired via their self-study.


media of instruction and technical requirements for education and examination in case of online participation
  • Scripts
  • Presentations
  • Data material
  • Online learning materials

literature / references

The literature will be announced before the respective semester, depending on the focus of the course.

evaluation of teaching
Details reference subject
module nameIP - Qualitative, Quantitative and Computational Analysis Methods
examination number2500498
credit points5
SWS4 (2 V, 2 Ü, 0 P)
on-campus program (h)45
self-study (h)105
obligationobligatory module
examalternative examination performance
details of the certificate

To be performed in one of the exercises (see descriptions of the offers):
Students work on and conduct a data analysis project with a qualitative, quantitative or computational focus. One test or several tests consisting of basic knowledge of qualitative, quantitative and computational methods of data analysis (via self-study) and content of the particular exercise (in-depth knowledge of a selected analysis method).

alternative examination performance due to COVID-19 regulations incl. technical requirements
signup details for alternative examinationsDie Anmeldung zur alternativen semesterbegleitenden Abschlussleistung erfolgt über das Prüfungsverwaltungssystem (thoska) außerhalb des zentralen Prüfungsanmeldezeitraumes. Die früheste Anmeldung ist generell ca. 2-3 Wochen nach Semesterbeginn möglich. Der späteste Zeitpunkt für die An- oder Abmeldung von dieser konkreten Abschlussleistung ist festgelegt auf den (falls keine Angabe, erscheint dies in Kürze):
To obtain the actual deadlines for this course, plaese navigate to the course details in the degree program.
maximum number of participants
Details in degree program Bachelor Angewandte Medien- und Kommunikationswissenschaft 2021
module nameIP - Qualitative, Quantitative and Computational Analysis Methods
examination number2500498
credit points5
on-campus program (h)22
self-study (h)128
obligationelective module
examalternative examination performance
details of the certificate

To be performed in one of the exercises (see descriptions of the offers):
Students work on and conduct a data analysis project with a qualitative, quantitative or computational focus. One test or several tests consisting of basic knowledge of qualitative, quantitative and computational methods of data analysis (via self-study) and content of the particular exercise (in-depth knowledge of a selected analysis method).

alternative examination performance due to COVID-19 regulations incl. technical requirements
signup details for alternative examinationsDie Anmeldung zur alternativen semesterbegleitenden Abschlussleistung erfolgt über das Prüfungsverwaltungssystem (thoska) außerhalb des zentralen Prüfungsanmeldezeitraumes. Die früheste Anmeldung ist generell ca. 2-3 Wochen nach Semesterbeginn möglich. Der späteste Zeitpunkt für die An- oder Abmeldung von dieser konkreten Abschlussleistung ist festgelegt auf den (falls keine Angabe, erscheint dies in Kürze):
To obtain the actual deadlines for this course, plaese navigate to the course details in the degree program.
maximum number of participants