623.615 (18W) Advanced Topics in Artificial Intelligence

Wintersemester 2018/19

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Erster Termin der LV
08.11.2018 10:00 - 16:00 , S.1.42
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Überblick

Lehrende/r
LV-Titel englisch
Advanced Topics in Artificial Intelligence
LV-Art
Vorlesung-Kurs (prüfungsimmanente LV )
Semesterstunde/n
3.0
ECTS-Anrechungspunkte
6.0
Anmeldungen
5 (30 max.)
Organisationseinheit
Unterrichtssprache
Englisch
mögliche Sprache/n der Leistungserbringung
Englisch
LV-Beginn
08.11.2018
eLearning
zum Moodle-Kurs
Anmerkungen

Blocktermine

LV-Beschreibung

Intendierte Lernergebnisse

Comprehension and experience in knowledge representation and reasoning and automated planning based on methods of artificial intelligence.


 

Lehrmethodik

Practical work complemented by an introduction of the underlying theory 

Inhalt/e

This course will be held by the Technical University of Graz and the University Klagenfurt.

We will investigate various approaches for automated planning and their application in logistic. In particular, we will look at the RoboCup Logistic League

http://www.robocup2018.org/?page=major-leagues&lang=en

Prof. Steinbauer is the supervisor of the reigning world champion team of the RoboCup Logistic League.

Prof. Friedrich works in the area of Artificial Intelligence for 30 years and is well known for advancing and applying Artificial Intelligence methods successfully in order to solve hard industrial problems. 

We plan the following structure:

Do. 08.11., 10:00-16:00: GF ASP Basics

Fr. 16.11., 10:00-16:00: GS Planning Basics + Conditional Planning + Planning as CSP

Do. 06.12.,10:00-16:00: GF  ASP Advanced, Planning in ASP/Logic Programming

Fr. 14.12., 10:00-16.00 Uhr GS Logistics League + SW Framework + Execution Monitoring 

Do. 10.01., 10:00-16:00: GF Practical Unit ASP Basics 

Di. 15.01., 10:00-16:00: GS Reactive Reasoning

Do. 17.01., 10:00-16:00: GF Practical Unit ASP Planning

Fr. 25.01., 10:00-16.00 Uhr: GS Practical Unit

Prüfungsinformationen

Beurteilungsschema

Note/Grade Benotungsschema

Position im Curriculum

  • Masterstudium Angewandte Informatik (SKZ: 911, Version: 13W.1)
    • Fach: Knowledge and Data Engineering (Wahlfach)
      • Semantic Web Technologies ( 2.0h VK / 4.0 ECTS)
        • 623.615 Advanced Topics in Artificial Intelligence (3.0h VC / 6.0 ECTS)
  • Masterstudium Angewandte Informatik (SKZ: 911, Version: 13W.1)
    • Fach: Knowledge and Data Engineering (Wahlfach)
      • Current Topics in Artificial Intelligence ( 2.0h VK / 4.0 ECTS)
        • 623.615 Advanced Topics in Artificial Intelligence (3.0h VC / 6.0 ECTS)
  • Masterstudium Informatik (SKZ: 921, Version: 09W.1)
    • Fach: Intelligent Information Systems in Production, Operation and Management (POM) (Pflichtfach)
      • Current Topics in Intelligent Systems ( 2.0h VK / 4.0 ECTS)
        • 623.615 Advanced Topics in Artificial Intelligence (3.0h VC / 6.0 ECTS)
  • Masterstudium Mathematics (SKZ: 401, Version: 18W.1)
    • Fach: Freie Wahlfächer (Freifach)
      • Freie Wahlfächer ( 0.0h XX / 9.0 ECTS)
        • 623.615 Advanced Topics in Artificial Intelligence (3.0h VC / 6.0 ECTS)
  • Masterstudium Technische Mathematik (SKZ: 401, Version: 13W.1)
    • Fach: Freie Wahlfächer (Freifach)
      • Freie Wahlfächer ( 0.0h XX / 6.0 ECTS)
        • 623.615 Advanced Topics in Artificial Intelligence (3.0h VC / 6.0 ECTS)

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