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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

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 B.Sc. Data Science, this module can be attended in the study area Free Compulsory Elective Modules.

The module is assigned to Computer Science. Further information on eligibility can be found in the description of the study area.


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:

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.