[ 526DAKEDAKU14 ] PR Data & Knowledge Engineering

Es ist eine neuere Version 2022W dieser LV im Curriculum Bachelor's programme Business Informatics 2023W vorhanden.
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Workload Education level Study areas Responsible person Hours per week Coordinating university
6 ECTS B3 - Bachelor's programme 3. year Business Informatics Christoph Schütz 4 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites (*)Empfohlen: Methoden und Konzepte des Data & Knowledge Engineering
Original study plan Bachelor's programme Business Informatics 2016W
Objectives Students are able to accomplish practice-oriented tasks in the Data and Knowledge Engineering spectrum. They have the ability to apply selected tools, like for example object-oriented or object-relational database systems. They are able to accomplish tasks by themselves and on their own responsibility in a theorie-driven and concept-driven manner. They are further able and willing to acquire additional competences, to work in teams, to moderate and direct group processes and to review, reflect on and impart professional knowledge about learning needs.
Subject Subjects vary corresponding to the particular task. The application and usage of tools adequate for accomplishing the task are definite course subjects. An example is to develop a document management system using an XML-enabled object-relational database system or a native XML database system. In the course of Task accomplishment it is imparted how to apply management techniques, negotiation techniques, conflict resolution techniques, team organization, communication and moderation techniques as well as techniques for self-organized knowledge acquisition in practice.
Criteria for evaluation All project outcomes are used as criteria for grading, like mid term and final presentations, documentation, and system implementation. Both, team and individual performance is evaluated.
Methods Both, assignments of tasks as well as approaches to solving a problem are given. Students work in teams of 3 to 5 persons. Each team designs and implements their own solutions under guidance of the lecturer. Students present their intermediate results after completion of each project phase and discuss them in plenum.
Language German
Study material The assignments of tasks vary each term. The project-relevant literature has to be obtained by the students themselves. They are supported in this task by department members by providing them with access to the literature servers and the digital libraries, like ACM, IEEE, and SpringerLink.

Basic literature:

  • Kuster, J.; Huber, E.; Lippmann, R.; Schmid, A.; Schneider, E.; Witschi, U.; Wüst, R.: Handbuch Projektmanagement. Springer Verlag, 2007.
  • Oestereich, B.; Weiss, C.: APM - Agiles Projektmanagement: Erfolgreiches Timeboxing für IT-Projekte. dpunkt.Verlag, 2007.
  • Hindel, B.; Hörmann, K.; Müller, M.; Schmied, J.: Basiswissen Software-Projektmanagement: Aus- und Weiterbildung zum Certified Professional for Project Management nach iS-QI-Standard. dpunkt.Verlag, 2009.
  • Patzak, G.; Rattay, G.: Projektmanagement: Leitfaden zum Management von Projekten, Projektportfolios und projektorientierten Unternehmen. Linde Verlag, 2008.
Changing subject? No
Further information None.
Earlier variants They also cover the requirements of the curriculum (from - to)
2WDEP: PR Data & Knowledge Engineering (2002W-2014S)
On-site course
Maximum number of participants 15
Assignment procedure Assignment according to priority