[ 921CGELCDMK13 ] KV (*)Conceptual Data Modeling

(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload Ausbildungslevel Studienfachbereich VerantwortlicheR Semesterstunden Anbietende Uni
3 ECTS M1 - Master 1. Jahr Informatik Wolfram Wöß 2 SSt Johannes Kepler Universität Linz
Quellcurriculum Masterstudium Computer Science 2022W
Ziele (*)Data modeling is essential to assure high data quality, which is an important prerequisite for industry, data-driven decisions, or artificial intelligence. It is an important skill for data scientists or others involved with data analysis. This course aims at a theoretical and practical basis on data modeling. The process of data modeling is demonstrated by means of real-world case studies and examples. Practical experience is gained by using the methods and applying them in exercises and examples.
Lehrinhalte (*)Introduction to 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

Conceptual Data Modeling enables students

  • to obtain a theoretical foundation in conceptual data modeling
  • to gain knowledge about relevant models and methods and to apply them in real-world projects
  • to transform a conceptual data model into a specific database schema
  • to gain practical experiences by applying the methods in exercises and examples
Beurteilungskriterien (*)Exam as well as the submission and evaluation of exercises
Lehrmethoden (*)Slide-based presentation, exercises
Abhaltungssprache Englisch
Literatur (*)Will be announced at the start of the semester
Lehrinhalte wechselnd? Nein
Äquivalenzen (*)INMAWKVKDMO: KV Konzeptionelle Datenmodellierung (3 ECTS)
Teilungsziffer -
Zuteilungsverfahren Direktzuteilung