Inhalt
[ 526DAKEMKD13 ] Module Methods and Concepts in Data & Knowledge Engineering
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| Es ist eine neuere Version 2022W dieses Fachs/Moduls im Curriculum Bachelor's programme Business Informatics 2024W vorhanden. |
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| (*) Unfortunately this information is not available in english. |
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| Workload |
Mode of examination |
Education level |
Study areas |
Responsible person |
Coordinating university |
| 6 ECTS |
Accumulative module examination |
B2 - Bachelor's programme 2. year |
Business Informatics |
Michael Schrefl |
Johannes Kepler University Linz |
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| Detailed information |
| Pre-requisites |
(*)Empfohlen: Grundlagen der Wirtschaftsinformatik, Grundlagen der Informatik, Grundlagen der Mathematik, Statistik und formaler Methoden
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| Original study plan |
Bachelor's programme Business Informatics 2014W |
| Objectives |
Students know the architecture, functionality and characteristics of database systems, web-based information systems, and knowledge-based systems and their typical application areas. They are familiar with methods and techniques of data and knowledge engineering and know distributed, temporal and object-oriented concepts to design database systems. They are able to handle the exemplary application of object-relational database systems as well as basic techniques of data warehousing and data mining. They are familiar with concepts and methods of knowledge-based systems and know typical application areas as ontologies for the semantic web and business rule engines.
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| Subject |
Functionality of database management systems: concurrency control, recovery; database technologies: distributed database systems, object-oriented database systems, temporal database systems; data management and knowledge processing: methods of knowledge representation, ontologies, business rule engines, data warehousing, data mining; web data management: architecture of web-based information systems, web query languages, web data maintenance, semantic web.
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| Further information |
A characteristic feature of the applied teaching form used here is working with an e-tutor system. Topics covered by the lecture are reinforced with working on practical examples. These examples are processed under the guidance of the lecturer by the students with appropriate tools. Solving these exercises is done online by the help of the electronic tutoring system “eTutor”. The “eTutor” system provides students with assistance in finding and fixing errors during the working process and handles the automatic assessment of the solution. Moreover, the automatic assessment is checked by the lecturers. The final assessment is made by the lecturer.
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| Subordinated subjects, modules and lectures |
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