623.614 (17W) Current Topics in Artificial Intelligence

Wintersemester 2017/18

Registration deadline has expired.

First course session
09.11.2017 09:00 - 16:30 E 1.42 Off Campus
... no further dates known

Overview

Lecturer
Course title german Current Topics in Artificial Intelligence
Type Lecture - Course (continuous assessment course )
Hours per Week 2.0
ECTS credits 4.0
Registrations 17 (30 max.)
Organisational unit
Language of instruction English
possible language(s) of the assessment English
Course begins on 09.11.2017
eLearning Go to Moodle course

Time and place

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Course Information

Intended learning outcomes

Diese Lehrveranstaltungwird über ein Teleteachingsystem zwischen der Alpen-Adria Universität Klagenfurt und Graz übertragen. Im Zuge dessen wird der Seminarraum E 1.42 über einen gesicherten Kanal gestreamed. Dabei werden die Daten in keinerlei Weise gespeichert oder anderweitig verwendet

Course content

Overview

Who needs configuration (i.e. individualization of products and services) and what for?

Typical examples from long-time experience with configuring complex technical systems.

Key technologies and useful tools for tackling product configuration problems.

Goal

At the end of the course, the students shall understand the benefits of various forms of product configuration and their embedding in Product Lifecycle Management,

and be able to select and use appropriate tools to find solutions for configuration requirements arising in practice.

Topics

What is product configuration? Real-word examples from mass customization to engineer-to-order.

Modelling of knowledge bases (product variability, constraints, logic), debugging and testing.

User interaction and use cases (check, solve, optimize, reconfigure).

Constraint Satisfaction Problem and variants (GCSP), Constraint Optimizing Problem.

Algorithms and performance: e.g. pre-compilation, local search, symmetry breaking.

Diagnosis of inconsistent configurations and knowledge bases (by Prof. Felfernig).

Practical work with open-source tools having different strengths:

S.P.L.O.T - an online feature modelling tool

MiniZinc (alternatively Choco) - a classical constraint solver with a standard syntax

Potassco - an open-source toolset based on logic (answer set programming)

Prior knowledge expected

Requirements for participation

Basic knowledge in knowledge and data engineering, logic programming, and Java.

Preparation by reading some information on tools before the course.

Presence during all 4 days (with your own notebook)!

Examination information

Im Fall von online durchgeführten Prüfungen sind die Standards zu beachten, die die technischen Geräte der Studierenden erfüllen müssen, um an diesen Prüfungen teilnehmen zu können.

Grading scheme

Grade / Grade grading scheme

Position in the curriculum

  • Master's degree programme Applied Informatics (SKZ: 911, Version: 13W.1)
    • Subject: Business Information Systems (Compulsory elective)
      • Topics in Knowledge and Data Engineering for Business Information Systems ( 2.0h VK / 4.0 ECTS)
        • 623.614 Current Topics in Artificial Intelligence (2.0h VC / 4.0 ECTS)
  • Master's degree programme Applied Informatics (SKZ: 911, Version: 13W.1)
    • Subject: Knowledge and Data Engineering (Compulsory elective)
      • Current Topics in Artificial Intelligence ( 2.0h VK / 4.0 ECTS)
        • 623.614 Current Topics in Artificial Intelligence (2.0h VC / 4.0 ECTS)
  • Masterstudium Informatik (SKZ: 921, Version: 09W.1)
    • Subject: Data and Knowledge Engineering (Compulsory subject)
      • Artificial Intelligence ( 2.0h VK / 4.0 ECTS)
        • 623.614 Current Topics in Artificial Intelligence (2.0h VC / 4.0 ECTS)
  • Master's degree programme Informatics (SKZ: 921, Version: 03W.1)
    • Subject: Data and Knowledge Engineering (Compulsory subject)
      • Artificial Intelligence ( 2.0h VK / 4.0 ECTS)
        • 623.614 Current Topics in Artificial Intelligence (2.0h VC / 4.0 ECTS)
  • Master's degree programme Information Management (SKZ: 922, Version: 13W.2)
    • Subject: Informationssysteme (Compulsory subject)
      • 2.8 Current Topics in Information Systems ( 2.0h SE/VC/KS / 4.0 ECTS)
        • 623.614 Current Topics in Artificial Intelligence (2.0h VC / 4.0 ECTS)

Equivalent courses for counting the examination attempts

This course is not assigned to a sequence of equivalent courses