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 (*)Empfohlen: Grundlagen der Wirtschaftsinformatik, Grundlagen der Informatik, Grundlagen der Mathematik, Statistik und formaler Methoden
Original study plan Bachelor's programme Business Informatics 2016W
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 the VL course), Admission to examination: earning 50% of the maximum amount of points from exercises and assignments (submission and grading via the e-Tutor system)
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.

Supplementary material will be announced each semester.

Changing subject? No
Further information See module Methoden und Konzepte des Data & Knowledge Engineering
On-site course
Maximum number of participants 30
Assignment procedure Assignment according to priority