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This entry is from Summer semester 2018 and might be obsolete. You can find a current equivalent here.
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): Oral or written examination Examination type: Successful completion of at least 50 percent of the points from the weekly exercises as well as at least 2 presentations of the tasks. |
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. |
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
Translation is missing. Here is the German original:
Keine. Empfohlen werden die Kompetenzen, die in dem Modul Algorithmen und Datenstrukturen vermittelt werden.
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 Minor subject 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 Summer semester 2018. 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.