13838 - Information Retrieval Modulübersicht

Module Number: 13838
Module Title:Information Retrieval
  Information Retrieval
Department: Faculty 1 - Mathematics, Computer Science, Physics, Electrical Engineering and Information Technology
Responsible Staff Member:
  • Prof. Dr.-Ing. habil. Schmitt, Ingo
Language of Teaching / Examination:English
Duration:1 semester
Frequency of Offer: Every summer semester
Credits: 6
Learning Outcome:Students know about problems, models and methods of information retrieval. This includes understanding the concepts of search engines and implementation with their advantages and disadvantages.
Contents:The goal of information retrieval is the search for text documents. With the growth of the internet this goal gained much importance. The course introduces several information retrieval models and algorithms. Furthermore, concepts of how to evaluate retrieval results will be discussed.

The content of the course is:
  • Motivation and introduction to the search of textual documents
  • Evaluation of IR systems
  • Vagueness in languages
  • Simple IR models and their implementations
  • Vector Space Model
  • Format of document management
  • Alternatives to global search
  • Search engines in WWW
Acquired knowledge will be applied within a project.
Recommended Prerequisites:The module cannot be successfully completed without knowledge of the content of
  • 12330 Datenbanken
Mandatory Prerequisites:No successful participation in module 14460 Information Retrieval.
Forms of Teaching and Proportion:
  • Lecture / 2 Hours per Week per Semester
  • Exercise / 1 Hours per Week per Semester
  • Laboratory training / 1 Hours per Week per Semester
  • Self organised studies / 120 Hours
Teaching Materials and Literature:
  • "Information Retrieval", van Rijsbergen (as HTML on the Web)
  • "Information Retrieval 1: Grundlagen, Modelle und Anwendungen",  Andreas Henrich (as PDF on the Web)
Module Examination:Prerequisite + Final Module Examination (MAP)
Assessment Mode for Module Examination:Prerequisite:
  • successful completion in practical training tasks and in exercises tasks
Final module examination:
  • Written examination, 90 min. OR
  • Oral examination, 30-45 min. (with small number of participants)
In the first lecture it will announced, whether the examination will organized in written or oral form.
Evaluation of Module Examination:Performance Verification – graded
Limited Number of Participants:80
Part of the Study Programme:
  • Abschluss im Ausland / Artificial Intelligence / keine PO
  • Master (research-oriented) / Artificial Intelligence / PO 2022 - 1. SÄ 2024
  • Abschluss im Ausland / Cyber Security / keine PO
  • Abschluss im Ausland / Elektrotechnik / keine PO
  • Abschluss im Ausland / Maschinenbau / keine PO
  • Master (research-oriented) / Mathematical Data Science / PO 2025
Remarks:
  • Study programme Artificial Intelligence M.Sc.: Compulsory elective module in complex  „Acquisition, Representation, and Processing“
  • Study programme Mathematical Data Science  M.Sc.: Compulsory elective module in complex „Fundamentals of Data Science“
Module Components:
  • Lecture: Information Retrieval
  • Accompanying exercises (with integrated laboratory)
  • Related examination
Components to be offered in the Current Semester: