623.622 (20W) Constraint-based Product Configuration
Überblick
Weitere Informationen zum Lehrbetrieb vor Ort finden Sie unter: https://www.aau.at/corona.
- Lehrende/r
- LV-Titel englisch Constraint-based Product Configuration
- LV-Art Vorlesung-Kurs (prüfungsimmanente LV )
- LV-Modell Onlinelehrveranstaltung
- Semesterstunde/n 2.0
- ECTS-Anrechnungspunkte 4.0
- Anmeldungen 3 (30 max.)
- Organisationseinheit
- Unterrichtssprache Englisch
- mögliche Sprache/n der Leistungserbringung Englisch
- LV-Beginn 30.10.2020
- eLearning zum Moodle-Kurs
Zeit und Ort
LV-Beschreibung
Intendierte Lernergebnisse
At the end of the course, the students shall understand the benefits of product configuration in the context of Product Lifecycle Management and be able to use appropriate tools (mainly constraint-based) to find solutions for configuration requirements arising in practice.
Inhalt/e
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 (especially constraint solving) for tackling product configuration problems.
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. Advanced topics, e.g., solution and systems configuration, configuration and data analytics, product and productions configuration. Practical work with open-source tools, mainly MiniZinc (alternatively Choco).
Organization
- Online course (BigBlueButton), starting on 2020-10-30
- 8 units, each Friday 10:00 - 12:00 (incl. 15 min break)
- Between the units, students shall listen to pre-recorded lectures and solve exercises (homework)
- During the units, students present their solutions and we discuss lecture contents and questions
Evaluation (exam) comprises
- Exercises solved in homework (individually or in pairs)
- Presentations and other contributions during the course (individually or in pairs)
- Multiple-choice test with CheckR at the end of the last unit (individually)
Erwartete Vorkenntnisse
- Basic knowledge in knowledge and data engineering and in logics.
Prüfungsinformationen
Beurteilungsschema
Note BenotungsschemaPosition im Curriculum
- Bachelorstudium Angewandte Informatik
(SKZ: 511, Version: 19W.2)
-
Fach: Artificial Intelligence
(Wahlfach)
-
8.1 Artificial Intelligence (
0.0h XX / 12.0 ECTS)
- 623.622 Constraint-based Product Configuration (2.0h VC / 4.0 ECTS) Absolvierung im 4., 5., 6. Semester empfohlen
-
8.1 Artificial Intelligence (
0.0h XX / 12.0 ECTS)
-
Fach: Artificial Intelligence
(Wahlfach)
Gleichwertige Lehrveranstaltungen im Sinne der Prüfungsantrittszählung
-
Wintersemester 2023/24
- 623.622 VC Constraint-based Product Configuration (2.0h / 3.0ECTS)
-
Wintersemester 2022/23
- 623.622 VC Constraint-based Product Configuration (2.0h / 4.0ECTS)
-
Wintersemester 2021/22
- 623.622 VC Constraint-based Product Configuration (2.0h / 4.0ECTS)
-
Wintersemester 2019/20
- 623.622 VC Constraint-based Product Configuration (2.0h / 4.0ECTS)