TH Köln

Master Digital Sciences

Documents for Study Program Accreditation

Module »Recherche in (sozialen) Netzwerken / Research in (social) networks« (RSN)

Organizational Details

Responsible for the module
Prof. Dr. Simone Fühles-Ubach (Faculty F03)
Language
English
Offered in
Winter Semester (Duration 1 Semester)
Location
Campus Köln Süd
Number of participants
minimum 5, maximum 20
Precondition
none
Recommendation
none
ECTS
3
Effort
Total effort 90h
Total contact time
24h (12h lecture / 12h seminar)
Time for self-learning
66h
Exam
Scientific paper based on a case study during the semester
Competences taught by the module
Analyze Domains
General criteria covered by the module
Interdisciplinarity, Digitization

Mapping to Focus Areas

Below, you find the module's mapping to the study program's focus areas. This is done as a contribution to all relevant focus areas (in ECTS, and content-wise). This is also relevant for setting the module in relation to other modules, and tells to what extent the module might be part of other study programs.

Focus Area ECTS (prop.) Module Contribution to Focus Area
Generating and Accessing Knowledge 3

Students are able to recognize and evaluate the special features of research in social networks and use them for their own interests in a targeted manner. They can assess and check the quality and seriousness of images, videos and information.

Learning Outcome

  • Students
    • are able to recognize and evaluate the special features of research in social networks and use them for their own interests in a targeted manner
    • can assess and check the quality and seriousness of images, videos and information.
  • by
    • learning to know and use special platforms, as well as special search engines and monitoring tools.
  • in order to
    • be able to use social media for professional aspects such as reputation management, researching new studies and products, finding experts or even crowdfunding / crowdsourcing.

Module Content

  • Characteristics and terminology of (social) networks
  • Types of platforms
  • Specifics in research / seriousness (fake news / bots)
  • Special platforms for videos / wikis / copyright-free material ….
  • Monitoring tools and special search engines (e.g. image duplicates, sounds, scientific DBs)
  • Search strategies

Forms of Teaching and Learning

Lecture, seminar teaching

Literature

  • Current literature will be announced at the beginning of the course.