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CS 571 — Index and Storage Structures
(dt. Index und Speicherstrukturen)

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 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.
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

  • file systems
  • B-trees and variants
  • External Hashing
  • Multidimensional index structures
  • Index structures for spatial databases
  • Temporal Index Structures
  • High-dimensional index structures
  • Index Structures in Database Systems
  • concurrency and recovery for index structures

Qualification Goals

Students will

  • know techniques for developing external data structures and algorithms,
  • can evaluate external data structures with regard to runtime, storage space and throughput,
  • can create data structures within a system-oriented environment,
  • can handle index structures in commercial 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.


Recommended Reading

  • Kemper, Eickler: Datenbanksysteme, Oldenbourg.
  • Cormen, Leierson, Rivest, Stein: Algorithmen - Eine Einführung. Oldenbourg.
  • Härder, Rahm: Datenbanksysteme. Konzepte und Techniken der
  • Implementierung, Springer.
  • Saake, Heuer, Sattler: Datenbanken: Implementierungstechniken, mitp.



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.