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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

Translation is missing, sorry. German original:

Die Studierenden

  • können Konzepte zur Erweiterung objektrelationaler Datenbanksysteme für Geo-Anwendungen beschreiben,
  • können Prinzipien grundlegender Algorithmen und Datenstrukturen für Geo-Datenbanken erläutern,
  • können Datenmodelle für Geo-Daten beschreiben,
  • können Anfrageverarbeitung in Geo-Datenbanken einsetzen,
  • können mit Geo-Informationssystemen und Geo-Datenbanksystemen umgehen,
  • sind in der Lage, wissenschaftliche Arbeitsweisen beim eigenständigen Erkennen, Formulieren und Lösen von Problemen anzuwenden,
  • sind in der Lage, über wissenschaftliche Inhalte frei zu sprechen, sowohl vor einem Publikum als auch in einer Diskussion.

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 LAaG Computer Science, this module can be attended in the study area Specialization Modules.


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 2025/26. 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:

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.