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This entry is from Winter semester 2021/22 and might be obsolete. You can find a current equivalent here.

CS 573 — Geo Databases
(dt. Geo-Datenbanken)

Level, degree of commitment Specialization module, depends on importing study program
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 or written examination
Language,
Grading		 German,
The grading is done with 0 to 15 points according to the examination regulations for the degree program M.Sc. Computer Science.
Subject, Origin Computer Science, 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

  • Acquisition of knowledge for the extension of object-relational database systems for geo applications,
  • Principles of basic algorithms and data structures for spatial databases,
  • Knowledge about the data models for spatial data,
  • Query processing in spatial databases,
  • Dealing with spatial information systems and spatial database systems,
  • Practice of scientific working methods (recognition, formulation, solving problems, training of abstraction skills),
  • Training of oral communication skills in the exercises by practicing free speech in front of an audience and during 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.


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 2021/22. 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.