Inhalt

[ 526DAKEDKEU14 ] UE 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 Christoph Schütz 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 2025W
Learning Outcomes
Competences
See lecture of the same name.
Skills Knowledge
See lecture of the same name. See lecture of the same name.
Criteria for evaluation Exercise assignments, midterm and final exam
Methods See lecture of the same name.
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.

Supplementary material will be announced each semester.

Changing subject? No
Further information VL and UE Data & Knowledge Engineering form an inseparable didactic unit. The learning outcomes described are achieved through the interaction of both.
Earlier variants They also cover the requirements of the curriculum (from - to)
2WDEU: UE Data & Knowledge Engineering (2002W-2014S)
On-site course
Maximum number of participants 30
Assignment procedure Assignment according to priority