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Wissensmanagement – Methoden und Werkzeuge (for Diploma Supplement only, not valid for study)

Winter

(engl. Knowledge Management Methods and Instruments )

Modulnummer: FIN-INF-100373
Link zum LSF: LSF
Verantwortung: Myra Spiliopoulou
Dozent:in: Myra Spiliopoulou
Lehrveranstaltungen: Courtesy translation of the description of a German course
  • Lecture Wissensmanagement - Methoden und Werkzeuge
  • Exercise Wissensmanagement - Methoden und Werkzeuge
Verwendbarkeit: - B.Sc. INF: Informatik - Wahlpflicht
- B.Sc. CV: Informatik - Wahlpflicht
- B.Sc. INGINF: Informatik - Wahlpflicht
- B.Sc. WIF: Gestalten - Pflicht
- B.Sc. INF (bilingual): Informatik - Wahlpflicht

Kürzel

WMS

CP

5

Semester

Winter

Fachsem.

Dauer

1 Semester

Sprache

deutsch

Niveau

Bachelor

Angestrebte Lernergebnisse:
DISCLAIMER: Courtesy translation of the description of a German course, not valid for study When successfully completing the course, the students:

  • understand what is knowledge management, and what are role and goals of knowledge management systems (KMS) in a company
  • understand the goals and core functions of KMS components
  • can recognize whether an instrument is appropriate for a given KMS-task
  • understand the basics of text mining methods
  • understand how to build models for conventional and multi-label classification tasks
  • can evaluate classification models
  • can use instruments for simplified KMS solutions
and have thus acquired the necessary basics to be able to design WMS solutions.

Inhalt:
Courtesy translation of the description of a German course

  • Knowledge management in a company: concepts and frameworks for KMS solutions
  • Knowledge and strategy - decision support
  • Knowledge management methods for explicit and tacid knowledge, including document management and text mining
  • Case studies

Arbeitsaufwand:
Courtesy translation of the description of a German course 56 h attendance (lecture and exercise classes) + 94 h independent work (for lectures, exerices and for the exam preparation)

Prüfungsvorleistungen: Studien-/Prüfungsleistungen: Lehrform / SWS:

Courtesy translation of the description of a German course minimum number of points to be achieved during the course

Courtesy translation of the description of a German course Written exam in the form 'Klausur' (120 min)

Courtesy translation of the description of a German course

  • Lecture: 2 hours per week
  • Exercise: 2 hours per week
Voraussetzungen nach Prüfungsordnung: Empfohlene Voraussetzungen:

None


Medienformen: Literatur:


Courtesy translation of the description of a German course Literature for the first part of the course:

  1. Franz Lehner ‘WISSENSMANAGEMENT - Grundlagen, Methoden und technische Unterstützung’ 6. überarbeitete und erweiterte Auflage, 2021, Verlag: HANSER; reachable under www.hanser-elibrary.com from the University library
  2. Case studies also from
    1. K. Mertins & H. Seidel. "Wissensmanagement im Mittelstand", SPRINGER (2009)
    2. A. Stocker & K. Tochtermann, "Wissenstransfer mit Wikis und Weblogs: Fallstudien zum erfolgreichen Einsatzvon Web 2.0 in Unternehmen", GABLER (2010)
Literature for the second part of the course:
  • ‘Introduction to Data Mining’, 2. Auflage, (2018/2019) von Pan-Ning Tan, Michael Steinbach, Anuj Karpatne & Vipin Kumar, PEARSON (erreichbar unter https://www-users.cs.umn.edu/~kumar001/dmbook/index.php)
  • ‘Modeling the Internet and the Web: Probabilistic Methods and Algorithms’ (2003) von Pierre Baldi, Paolo Frasconi, Padhraic Smyth, WILEY
  • Tutorial by Jesse Read on Multi-Label Classifikation (2013), link from the slideset
Further literature, use cases and scientific articles appear in each of the course blocks.

Hinweise:

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