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This entry is from Winter semester 2019/20 and might be obsolete. You can find a current equivalent here.

CS 672 — Implementation of Database Systems
(dt. Implementierung von Datenbanksystemen)

Level, degree of commitment Specialization module, depends on importing study program
Forms of teaching and learning,
workload		 Lecture (4 SWS), recitation class (2 SWS),
270 hours (90 h attendance, 180 h private study)
Credit points,
formal requirements		 9 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,
Jährlich or zweijährlich im Wintersemester
Person in charge of the module's outline Prof. Dr. Bernhard Seeger

Contents

  • Architecture of database systems
  • File organization and access structures
  • One-dimensional index structures: B-trees and hash methods
  • Multidimensional index structures
  • Index Structures in Database Systems
  • Lock protcols and recovery for index structures
  • Algorithms for database operators
  • Query optimization
  • Physical optimization of databases
  • New developments in database systems

Qualification Goals

  • Acquisition of knowledge to assess the performance of database systems,
  • Techniques for the development of efficient data structures and algorithms in database systems,
  • Analysis of external data structures regarding runtime, storage space and throughput,
  • Dealing with index structures in commercial database systems,
  • Knowledge about query optimization techniques and their availability in commercial systems,
  • Insights into architectures of modern database systems.

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, Database Systems.


Recommended Reading

  • Kemper, Eickler: Datenbanksysteme, Oldenbourg.
  • Härder, Rahm: Datenbanksysteme. Konzepte und Techniken der
  • Implementierung, Springer.
  • Saake, Heuer, Sattler: Datenbanken: Implementierungstechniken, Mitp.
  • Garcia-Molina, Ullman, Widom: Database System Implementation, Prentice Hall.



Please note:

This page describes a module according to the latest valid module guide in Winter semester 2019/20. 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.