The Knowledge Management Education Hub

Seminars

Kompakt-Programme > Bereich Technology & Engineering

• Data Science & Knowledge Management (Stand 2021: in Planung)

Graduate Degrees/Programs

• Master of Science Information & Knowledge Management** (Vertiefung: Knowledge Engineering)²⁾
  Basis – Allgemein
  VL Advanced Software Engineering (ab 2007: LU)
  VO Data Mining (bis 2008)
  VU Formale Methoden der Informatik (ab 2009: VO)
  VO Grundzüge der Artificial Intelligence
  VO Knowledge Management
  UE Knowledge Management (ab 2007)
  SE Seminar für DiplomandInnen
  VU Semistrukturierte Daten (ab 2007: VL)
  VU Wissensbasierte Systeme (ab 2007: V=)

  Basis – Knowledge Engineering
  VU Einführung in Semantic Web
  VU Machine Learning
  VU Problem Solving and Search in Artificial Intelligence

  Wahl – Allgemein
  PR Informatikpraktikum 1
  PR Informatikpraktikum 2

  Wahl – Knowledge Engineering
  VO Ausgewählte Kapitel aus Knowledge Management und Digital Media (ab 2009)
  VO Artificial Intelligence und Semantic Web (bis 2008)
  VO Logik für Wissensrepräsentation (ab 2007)
  UE Knowledge Management (bis 2008)
  VU Nichtmonotones Schließen
  VU Robotik
  VU Semi-Automatic Information and Knowledge Systems
  SE Seminar aus Artificial Intelligence
  SE Seminar aus Knowledge Management
  SE Seminar aus Logik (ab 2007)
  SE Seminar aus theoretischer Informatik und Logik (bis 2007)
  SE Seminar aus Theoretischer Informatik (ab 2007)
  VO Verarbeitung deklarativen Wissens
  VU Wissensbasiertes Planen

• Dipl.-Ing. Magisterstudium Informatik (Schwerpunkt: Information & Knowledge Management; Vertiefungsfach: Knowledge Engineering (KE))**²⁾
  Basis – Allgemein
  VO Einführung in die AI
  VU Formale Methoden der Informatik
  VO Knowledge Management
  VO Maschinelles Lernen und Data Mining
  SE Seminar für DiplomandInnen
  VU Semistrukturierte Daten 1
  VL Software Engineering 2
  VO Wissensbasierte Systeme

  Basis – Knowledge Engineering
  VU Fortgeschrittene Methoden des maschinellen Lernens
  VO Logik für Wissensrepräsentation
  VO Neural Computation 1

  Wahl – Allgemein
  PR Praktikum aus Knowledge Engineering

  Wahl – Knowledge Engineering
  VU AK aus Knowledge Engineering 1
  VU AK aus Knowledge Engineering 2
  VU Constraint Solving
  VU Heuristische Optimierungsverfahren
  UE Knowledge Management
  VU Komplexitätstheorie
  LU Neural Computation 1
  VU Nichtmonotones Schließen
  VU Nichtmonotones Schlieen
  VU Robotik
  VO Verarbeitung deklarativen Wissens

Institute of Logic and Computation > Knowledge-Based Systems Research Unit³⁾

• PhD in Informatics (research area: Knowledge-Based Systems)

Conferences

Institut für Visual Computing & Human-Centered Technology > Forschungsbereich Multidisciplinary Design & User Research

• 11th European Conference on Computer-Supported Cooperative Work (ECSCW 2009), 7-11 September 2009, Vienna, Austria

Institute of Logic and Computation > Knowledge-Based Systems Research Unit³⁾

• 14th International Conference on the Principles of Knowledge Representation & Reasoning (KR 2014), July 20-24, 2014, Vienna University of Technology, Vienna, Austria
  (Co-host: Database and Artificial Intelligence Group, Institute of Logic and Computation)

Workshops

Database and Artificial Intelligence Group

• Foundational Challenges in Data and Knowledge Management, March 25, 2018, TU Vienna, Vienna, Austria
  (Georg Gottlob Special Event; co-located with EDBT/ICDT Joint Conference, Mar 26-29)
  Keynotes:
  Human-In-the-Loop Personalization
  What are the Limits for Efficient Conjunctive Query Evaluation in the Presence of Constraints?

  Presentations:
  Abstraction vs. Performance in Database Systems
  On the Succinctness of Query Rewriting for Datalog+/-
  From Hypertree Width to Submodular Width and Data-dependent Structural Decompositions
  Algorithmic Metatheorems for Second-Order Logic
  The Quest for Definitive Results: Some Examples in Georg Gottlob’s Work