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[ 526DAKEDKEV14 ] VL Data & Knowledge Engineering
Versionsauswahl
(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS B2 - Bachelor's programme 2. year Business Informatics Michael Schrefl 2 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites (*)Erwartete Vorkenntnisse: Grundlagen der Wirtschaftsinformatik, Grundlagen der Informatik, Grundlagen der Mathematik, Statistik und formaler Methoden
Original study plan Bachelor's programme Business Informatics 2022W
Objectives See module Methoden und Konzepte des Data & Knowledge Engineering
Subject See module Methoden und Konzepte des Data & Knowledge Engineering
Criteria for evaluation Examination (together with practice exam): two parts which will be 60 minutes each.
Methods See module Methoden und Konzepte des Data & Knowledge Engineering (Further Information)
Language German
Study material Core Reading:

  • Garcia-Molina, H.; Ullman, J. D.; Widom, J.: Database Systems – The Complete Book. Prentice Hall, newest edition.
  • Russell, S; Norvig, P.: Artificial Intelligence. International Version. Addison Wesley, newest edition.
  • Kemper, S.; Eickler, A.: Datenbank Systeme: Eine Einführung. Oldenbourg Verlag, in der aktuellen Auflage.

Supplementary material will be announced each semester.

Changing subject? No
Further information See module Methoden und Konzepte des Data & Knowledge Engineering
Earlier variants They also cover the requirements of the curriculum (from - to)
2WDEV: VL Data & Knowledge Engineering (2002W-2014S)
On-site course
Maximum number of participants 200
Assignment procedure Assignment according to priority