623.622 (20W) Constraint-based Product Configuration
Overview
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- Lecturer
- Course title german Constraint-based Product Configuration
- Type Lecture - Course (continuous assessment course )
- Course model Online course
- Hours per Week 2.0
- ECTS credits 4.0
- Registrations 3 (30 max.)
- Organisational unit
- Language of instruction English
- possible language(s) of the assessment English
- Course begins on 30.10.2020
- eLearning Go to Moodle course
Time and place
Course Information
Intended learning outcomes
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.
Course content
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)
Prior knowledge expected
- Basic knowledge in knowledge and data engineering and in logics.
Examination information
Grading scheme
Grade / Grade grading schemePosition in the curriculum
- Bachelor's degree programme Applied Informatics
(SKZ: 511, Version: 19W.2)
-
Subject: Artificial Intelligence
(Compulsory elective)
-
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)
-
Subject: Artificial Intelligence
(Compulsory elective)
Equivalent courses for counting the examination attempts
-
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)