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Standorte und KontaktBibliothek FHNWKarriere an der FHNWMedien

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      Standorte und KontaktBibliothek FHNWKarriere an der FHNWMedien
      Module
      Gesellschaftliche Einbettung einer Data Science Problemstellung

      Social Embedding of a Data Sciecnce Challenge

      Number
      gedp
      ECTS
      3.0
      Level
      intermediate
      Content

      The module enables an in-depth and critical examination of the subject of a challenge in the phases of problem identification and solution finding.


      In data science projects, in addition to the necessary specialist and methodological knowledge, specialists are confronted with data from application areas that are not within the scope of their professional expertise. These originate from social contexts (domains), whose characteristics accompany the progress of the project from problem identification to solution finding and have a decisive influence on the result.

      Learning outcomes

      Students are able to grasp the problem in its social dimensions and describe it competently. You analyse and evaluate your research question and related information critically and comprehensively. You will critically scrutinise your own and others' assumptions and points of view and adapt your research question as required.


      Students learn to recognise the effects of their own solution approaches and are able to depict these expertly. You will critically and comprehensively analyse and evaluate your research question and related information. You will critically scrutinise your own and others' assumptions and viewpoints and adapt your question as required.


      Students draw conclusions from their findings and transfer the acquired domain knowledge to the challenge.

      Evaluation
      Mark
      Built on the following competences
      In combination with a challenge.
      Modultype
      Portfolio Module
      (German Version)

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