Business Intelligence

Module Code
WK2102
Module Coordinators
Harald Ritz
Teachers
  • Josef Fink
  • Michael Guckert
  • Harald Ritz
  • Learning Objectives

    Students are able to handle software solutions in data ware-house and data mining, and are able to put on such systems and evaluate, as well as large databases. They have the com-petence to apply business applications of this technology eco-nomically profitable. In small groups the students are able to lead a team and to work on projects in common. Finally they have to present and defend their results in front of others.

    Duration in Semester
    1
    Instruction Language
    German
    Total Effort
    6 CrP; an estimated 180 hours
    Weekly School Hours
    4
    Method of Instruction

    Vorlesung 2 SWS, Übung 1 SWS, Praktikum 1 SWS

    Requirements for the awarding of Credit Points

    Prüfungsleistung: Klausur, mündliche Prüfung oder eine Kombination aus Klausur und mündlicher Prüfung bzw. Projektarbeit

    (Art und Umfang des Leistungsnachweises wird den Studierenden rechtzeitig und in geeigneter Weise bekannt gegeben)

    Evaluation Standard
    according to examination regulations (§ 9)
    Availability
    Yearly
    References
    • Kemper, Hans-Georg; Baars, Henning; Mehanna, Walid: Business Intelligence - Grundlagen und praktische Anwendungen, Vieweg+Teubner, Wiesbaden
    • Müller, Roland M.; Lenz, Hans-Joachim: Business Intelligence, Springer Vieweg, Berlin / Heidelberg
    • Kohlhammer, Jörn; Proff, Dirk U.; Wiener, Andreas: Visual Business Analytics,dpunkt.verlag, Heidelberg
    • Cleve, Jürgen; Lämmel, Uwe: Data Mining, de Gruyter Oldenbourg, München
    • Runkler, Thomas A.: Data Mining - Methoden und Algorithmen intelligenter Datenanalyse, Vieweg+Teubner
    • Han, Jiawei; Kamber, Micheline; Pei, Jian: Data Mining: Concepts and Techniques, San Francisco u.a.
    • BI-Spektrum: Fachzeitschrift für Business Intelligence und Data Warehousing / eine Publikation des TDWI Germany e.V.
    • Kießwetter, Martin; Vahlkamp, Dirk: Data Mining in SAP Netweaver BI, SAP Press, Bonn