Es ist eine neuere Version 2022W dieser LV im Curriculum Master's programme Artificial Intelligence 2023W vorhanden.
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Workload
Education level
Study areas
Responsible person
Hours per week
Coordinating university
3 ECTS
M - Master's programme
Computer Science
Wolfram Wöß
2 hpw
Johannes Kepler University Linz
Detailed information
Original study plan
Master's programme Computer Science 2013W
Objectives
Data modeling covers the development process starting with requirements analysis up to a conceptual design of the data model which is fundamental for developing information systems.
This course aims on a theoretical and practical fundament in the field of data modeling. The coactions of data and functional analysis and the embedding of data analysis and modeling within a modern application development process are the key aspects. Moreover, an overview of relevant models and methods is given. On the basis of case studies the data modeling process is demonstrated. Practical experiences are gained by using the methods and their application in exercises and examples.
It is recommended to visit the course "Semantic Data Modeling and Applications".
Subject
Overview on data modeling, The Entity Relationship Model, Transformation of an Entity Relationship Model into a Relational Data Model, Extensions of the Entity Relationship Model, Semantic data models
Criteria for evaluation
Oral exam as well as the submission and evaluation of exercises
