Main content
CS 573 — Geo Databases
(dt. Geo-Datenbanken)
Level, degree of commitment | Specialization module, compulsory elective module |
Forms of teaching and learning, workload |
Lecture (2 SWS), recitation class (2 SWS), 180 hours (60 h attendance, 120 h private study) |
Credit points, formal requirements |
6 CP Course requirement(s): Successful completion of at least 50 percent of the points from the weekly exercises as well as at least 2 presentations of the tasks. Examination type: Oral examination (individual examination) or written examination |
Language, Grading |
English,The grading is done with 0 to 15 points according to the examination regulations for the degree program M.Sc. Computer Science. |
Duration, frequency |
One semester, Zweijährlich im Wintersemester |
Person in charge of the module's outline | Prof. Dr. Bernhard Seeger |
Contents
- Introduction to extensible database systems
- Modelling of spatial data: vector data and raster data
- Query processing in spatial databases
- Indexing techniques for spatial databases
- card coverage
- Algorithms of computational geometry
- Commercial Geo-Information Systems
- Moving objects
Qualification Goals
Students
- have knowledge of extending object-relational database systems for geo applications,
- know principles of basic algorithms and data structures for geo-databases,
- have knowledge of data models for geospatial data,
- know query processing in geo-databases,
- are able to handle geo-information systems and geo-database systems,
- are able to apply scientific working methods when independently identifying, formulating and solving problems,
- are able to speak freely about scientific content, both in front of an audience and in a discussion.
Prerequisites
None. The competences taught in the following modules are recommended: either Algorithms and Data Structures or Practical Informatics II: Data Structures and Algorithms for Pre-Service-Teachers.
Applicability
Module imported from M.Sc. Computer Science.
It can be attended at FB12 in study program(s)
- B.Sc. Data Science
- B.Sc. Computer Science
- M.Sc. Data Science
- M.Sc. Computer Science
- M.Sc. Mathematics
- LAaG Computer Science
When studying M.Sc. Mathematics, this module can be attended in the study area Profile Area Computer Science.
Recommended Reading
- P. Rigaux, M. Scholl, A. Voisard: Spatial Databases with Application to GIS, Morgan Kaufmann
- H. Samet: The Design and Analysis of Spatial Data Structures, Addison-Wesley
- M. Berg, M. Kreveld, M. Overmars, O. Schwarzkopf: Computational Geometry, Springer.
- T. Brinkhoff: Geodatenbanksysteme in Theorie und Praxis, Wichmann.
Please note:
This page describes a module according to the latest valid module guide in Winter semester 2023/24. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:
- Winter 2016/17
- Summer 2018
- Winter 2018/19
- Winter 2019/20
- Winter 2020/21
- Summer 2021
- Winter 2021/22
- Winter 2022/23
- Winter 2023/24
The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.
The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.