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CS 572 — Information Retrieval
(dt. Information Retrieval)

Level, degree of commitment Specialization module, depends on importing study program
Forms of teaching and learning,
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
The grading is done with 0 to 15 points according to the examination regulations for the degree program M.Sc. Data Science.
Subject, Origin Computer Science, M.Sc. Data Science
One semester,
Zweijährlich im Sommersemester
Person in charge of the module's outline Prof. Dr. Bernhard Seeger


  • Quality criteria for information retrieval
  • Models for Information Retrieval
  • Architecture of Information Retrieval Systems
  • Index Methods and Index Structure
  • query extension
  • IR and Web
  • multimedia retrieval

Qualification Goals

Students will

  • Know the main models for information retrieval acquire,
  • have gained an overview of the architecture of IR systems,
  • know indexing techniques,
  • understand optimization of queries in IR,
  • can apply IR in the field of web and multimedia
  • are able to apply scientific working methods (recognizing, formulating, solving problems, training the ability of abstraction),
  • are able to speak freely about scientific content, both in front of an audience and in a discussion.


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

  • Manning, Raghavan, Schütze: Introduction to Information Retrieval, Cambridge University Press
  • Baeza-Yates, Ribeiro-Neto: Modern Information Retrieval, Addison Wesley
  • Ferber: Information Retrieval-Suchmodelle und Data-Mining-Verfahren für Textsammlungen und das Web, dpunkt Verlag
  • Henrich: Information Retrieval - Grundlagen, Modelle und Anwendungen

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.