ERP Systems & Business Process Management PT
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Datawarehousing & Business Intelligence (E, T)

level of course unit

second cycle, Master

Learning outcomes of course unit

- know the application field and capability of usage of data mining
- know technology and procedures of data mining
- can assimilate requirements on reports from business (requirement specification)
- can transfer methods of data mining to problems
- can illustrate the results of data mining
- know Business Intelligence (BI) features of ERP System
- know modes and procedures of data migration
- know methods of data conversion

prerequisites and co-requisites

not applicable

course contents

Data warehousing concept and related concepts, such as OLAP, and methods and techniques for data mining. Techniques and current tools from the field of data warehousing & data mining. Case studies or projects from the student's topic area with concrete, practical application.

recommended or required reading

Bauer, Andreas; Günzel, Holger: Data Warehouse Systeme: Architektur, Entwicklung, Anwendung.- Heidelberg: dpunkt.verlag, 2004 Date, Chris J.; Darwen, Hugh: SQL - Der Standard.- Addison-Wesley, 1998 Meier, Andreas; Wüst, Thomas: Objektorientierte und objektrelationale Datenbanken.- dpunkt, 2003 Otte, Ralf; Otte, Viktor; Kaiser, Volker: Data Mining für die industrielle Praxis.- Hanser, 2004 Ramiz, Elmasri; Shamkant, B. Navathe: Grundlagen von Datenbanksystemen.- Pearson, 2002

assessment methods and criteria

Simulation, Presentation

language of instruction


number of ECTS credits allocated


course-hours-per-week (chw)


planned learning activities and teaching methods

not applicable

semester/trimester when the course unit is delivered


name of lecturer(s)

Dr. Franzmann Arnim

year of study

2.year of studies

recommended optional program components

not applicable

course unit code


type of course unit

compulsory (practice)

mode of delivery

In-class course

work placement(s)

not applicable