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Nr. LV-Typ(en) LV-Titel
5279 PI Applications of Semantic AI in Knowledge Management Präsenz-Modus
Anmeldung über LPIS
vom 13.02.2024 14:00 bis 08.05.2024 23:59
Abmeldung über LPIS
vom 13.02.2024 14:00 bis 11.05.2024 23:59

LV-Leiter/in Dr. Fajar Juang Ekaputra
Planpunkte Bachelor SBWL Kurs III - Knowledge Management
Kurs III - Knowledge Management
Semesterstunden 2
Unterrichtssprache Englisch

Termine
Di, 14.05.2024 09:00-12:00 Uhr TC.5.15 (Lageplan)
Do, 16.05.2024 09:00-12:00 Uhr TC.5.27 (Lageplan)
Di, 21.05.2024 09:00-12:00 Uhr TC.3.10 (Lageplan)
Do, 23.05.2024 09:00-12:00 Uhr EA.6.032 (Lageplan)
Di, 04.06.2024 09:00-12:00 Uhr TC.5.01 (Lageplan)
Di, 11.06.2024 09:00-11:30 Uhr P TC.5.03 (Lageplan)
Di, 18.06.2024 09:00-14:00 Uhr D5.0.002 (Lageplan)
Termindownload (ical) | Termine abonnieren

Weitere Informationen https://learn.wu.ac.at/vvz/24s/5279

Kontakt:
fajar.ekaputra@wu.ac.at
Inhalte der LV:

This course focuses on the capabilities, methods and techniques of Semantic Artificial Intelligence (AI) and their applications to support Knowledge Management (KM) tasks and systems. Semantic AI denotes an emerging family of Semantic Web technologies that enjoy large-scale up-take in the industry. 

Firstly, it will cover the general description of Semantic AI capabilities relevant to the KM tasks and systems. Secondly, the course will cover applications, methods and techniques of Semantic AI in real-world use cases, which include: 

  • Value proposition of Semantic AI
  • Semantic AI for Knowledge Exploration
  • Semantic AI for Information Extraction
  • Semantic AI for System Transparency
  • Recent Trends of Semantic AI Research and Applications
     
Lernergebnisse (Learning Outcomes):

This course enables the participants to learn and apply semantic AI methods and tools in Knowledge Management. After successful completion of the course, students will be able to: 

  • Explain the key terms and value propositions of Semantic AI for Knowledge Management.
  • Understand the concepts, apply methods, and utilise tools from Semantic AI on selected tasks and applications for Knowledge Management.
  • Provide insights into the recent trends in Semantic AI and its application in academic and industrial applications.

Furthermore, students will get familiar with the recent research developments in this field.
Regelung zur Anwesenheit:

Attendance is mandatory, with at least 80% of the hours attended, as per WU requirements regarding PI courses. The absences can be compensated in cases of illness with a doctor's note.  
Lehr-/Lerndesign:

This course builds on lectures, discussions, hands-on exercises, quizzes, assignments and student presentations.

Teaching methods will include:

  • Research-based teaching relying on the latest research advances in the area
  • Practical experience on selected Semantic AI methods and tools
  • Invited talks from companies that base their business models on semantic technologies
Leistung(en) für eine Beurteilung:

Components

  • 20% quizzes
  • 40% group assignment (including presentation)
  • 40% exam

Grade

  • <60% (5)
  • 60% - 69% (4)
  • 70% - 79% (3)
  • 80% - 89% (2)
  • 90% - 100% (1)
Teilnahmevoraussetzung(en):

Positive completion of courses 1 and 2 of the “Knowledge Management” SBWL. 
 
Zuletzt bearbeitet: 15.11.2023 10:09
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