Otto-von-Guericke-Universität Magdeburg
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The degree is organized across five thematic areas; students attend modules and acquire credit points through courses, team projects and seminars in all areas:
1.Underpinnings: Basics of data mining, database processing, data/image/multimedia engineering
2.Models: Knowledge representation, knowledge modeling, knowledge processing
3.Methods I: Knowledge discovery, artificial intelligence, machine learning
4.Methods II: Information processing and retrieval
5.Applications: Application of DKE, including business applications, medical applications, engineering applications, core CS applications (e.g. security, image understanding) DKE spans application areas ranging from business intelligence and market watches to life sciences, biotechnology and security. It builds upon advances in networked services, people and agent communication, in decision support, information systems and management.
Letzte Änderung: 10.11.2011 - Ansprechpartner: Webmaster