Inhalt

[ 921CGELCDMK13 ] KV Conceptual Data Modeling

Versionsauswahl
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M1 - Master's programme 1. year Computer Science Wolfram Wöß 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Computer Science 2025W
Learning Outcomes
Competences
Students are able to model the data requirements of an information system in a data model. Students can evaluate the quality of a data model. Students can derive a database schema from a data model.
Skills Knowledge
Students are able

  • to obtain a theoretical foundation in conceptual data modeling (K1, K2)
  • to gain knowledge about relevant models and methods and to apply them in real-world projects (K3, K4, K5, K6)
  • to transform a conceptual data model into a specific database schema (K3)
  • to gain practical experiences by applying the methods in exercises and examples (K3, K6)
  • Introduction to data modeling
  • Theoretical and practical basis on data modeling
  • Data model quality
  • The Entity-Relationship-Model (ER-Model)
  • Transformation of an ER-Model into a Relational Model
  • Extensions of the ER-Model
  • Semantic data models
Criteria for evaluation Exam as well as the submission and evaluation of exercises
Methods Slide-based presentation, exercises
Language English
Study material Will be announced at the start of the semester
Changing subject? No
Corresponding lecture INMAWKVKDMO: KV Konzeptionelle Datenmodellierung (3 ECTS)
On-site course
Maximum number of participants -
Assignment procedure Direct assignment