[ 921CGELCDMK13 ] KV Conceptual Data Modeling
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| Es ist eine neuere Version 2022W dieser LV im Curriculum Master's programme Artificial Intelligence 2024W vorhanden. |
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| (*) Unfortunately this information is not available in english. |
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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 |
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| Detailed information |
| Original study plan |
Master's programme Computer Science 2019W |
| Objectives |
A conceptual data model describes the semantics of a particular domain, which is the scope of the abstract and formalized model. This model consists of entity classes, representing kinds of things of significance in the domain, and relationships between pairs of entity classes. The design of the data model is also crucial for the scope and accuracy of data analysis that is possible later on.
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. Students gain experience by applying the learned methods to practical exercises.
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| Subject |
Introduction to data modeling, Data Model Quality, The Entity-Relationship-Model (ER-Model), Extensions of the ER-Model, Semantic data models
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| Criteria for evaluation |
Oral exam as well as the submission and evaluation of exercises
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| Methods |
Slide-based presentation, exercises
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| Language |
English |
| Changing subject? |
No |
| Corresponding lecture |
(*)INMAWKVKDMO: KV Konzeptionelle Datenmodellierung (3 ECTS)
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| On-site course |
| Maximum number of participants |
- |
| Assignment procedure |
Direct assignment |
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