IP - Qualitative, Quantitative and Computational Analysis Methods - Interactive curriculae of TU Ilmenau
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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Please note that this page is no longer updated.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 200192 - common information | |
|---|---|
| module number | 200192 |
| 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 | 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 outcome | Based 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. |
| content | As 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 |
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| 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 name | IP - Qualitative, Quantitative and Computational Analysis Methods |
| examination number | 2500498 |
| credit points | 5 |
| SWS | 4 (2 V, 2 Ü, 0 P) |
| on-campus program (h) | 45 |
| self-study (h) | 105 |
| obligation | obligatory module |
| exam | alternative examination performance |
| details of the certificate | The module will be newly introduced and conceptually tested in the summer semester 2023. Therefore, no English-language offer is planned. |
| link to Moodle course | |
| teacher | siehe Beschreibungen des wählbaren Angebots |
| 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 | |
| Details in degree program Bachelor Angewandte Medien- und Kommunikationswissenschaft 2021 | |
|---|---|
| module name | IP - Qualitative, Quantitative and Computational Analysis Methods |
| examination number | 2500498 |
| credit points | 5 |
| on-campus program (h) | 22 |
| self-study (h) | 128 |
| obligation | elective module |
| exam | alternative examination performance |
| details of the certificate | The module will be newly introduced and conceptually tested in the summer semester 2023. Therefore, no English-language offer is planned. |
| 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 | |