Technische Universität Ilmenau

Scientific Work and Empirical Research - Modultafeln of TU Ilmenau

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module properties Scientific Work and Empirical Research in degree program Master Medien- und Kommunikationswissenschaft/Media and Communication Science 2013
ATTENTION: not offered anymore
module number9188
examination number90102
departmentDepartment of Economic Sciences and Media
ID of group 2559 (Kommunikationswissenschaft mit Schwerpunkt Computational Communication Science)
module leaderProf. Dr. Emese Domahidi
term winter and summer term
languageEnglish
credit points3
on-campus program (h)34
self-study (h)56
obligationobligatory module
examalternative examination performance
details of the certificate

Students write a research paper based on their own statistical analysis.

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):
  • signup begins: 05.11.2021
  • signup ends: 12.11.2021
  • resignation not after: 12.11.2021
  • last modification of this information: 15.10.2021
maximum number of participants
previous knowledge and experience

Basic knowledge in social science research methods and statistics (basic graduate level).

learning outcome
  • Students are able to understand and explain complex research designs.
  • Students are able to organize, prepare and modify empirical data for statistical analysis.
  • Students understand how to apply different methods of uni-, bi- and multivariate analysis of quantitative data to answer research questions.
  • Students interpret and explain the results of advanced statistical analyses.
content

In the seminar the principles and the statistical background of basic methods of data analysis are explained. These methods are applied to specific research problems. Therefore, real research data are analyzed using R. Proceedings of data modification and index building are trained (Compute, Recode etc.) and different techniques of uni-, bi- and multivariate analysis of quantitative data are learned (Frequencies, Means, Crosstabs, Correlation Analysis, Regression Analysis, Analysis of Variance, Factor Analysis etc.).

media of instruction and technical requirements for education and examination in case of online participation<p><span style="text-align: left; color: #000000; text-transform: none; text-indent: 0px; letter-spacing: normal; font-family: 'Arial',-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Oxygen-Sans,Ubuntu,Cantarell,'Helvetica Neue',sans-serif; font-size: 10pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; word-spacing: 0px; display: inline !important; white-space: normal; orphans: 2; float: none; -webkit-text-stroke-width: 0px; background-color: transparent;">moodle: <a href="https://moodle2.tu-ilmenau.de/course/view.php?id=3404">https://moodle2.tu-ilmenau.de/course/view.php?id=3404</a></span></p><p><span style="text-align: left; color: #000000; text-transform: none; text-indent: 0px; letter-spacing: normal; font-family: 'Arial',-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Oxygen-Sans,Ubuntu,Cantarell,'Helvetica Neue',sans-serif; font-size: 10pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; word-spacing: 0px; display: inline !important; white-space: normal; orphans: 2; float: none; -webkit-text-stroke-width: 0px; background-color: transparent;">The course takes place online. </span></p>
literature / references
evaluation of teaching