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:Knowledge of the content of module
  • 12330 Datenbanken
Mandatory Prerequisites:None
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 of project exercises in course, 30-50 h
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:None
Part of the Study Programme:
  • Master (research-oriented) / Artificial Intelligence / PO 2022
  • Master (research-oriented) / eBusiness / PO 2007
  • Abschluss im Ausland / Elektrotechnik / keine PO
  • Bachelor (research-oriented) / Informatik / PO 2008 - 1. SÄ 2017
  • Bachelor (research-oriented) / Informations- und Medientechnik / PO 2017
  • Master (research-oriented) / Informations- und Medientechnik / PO 2017
  • Master (research-oriented) / Künstliche Intelligenz Technologie / PO 2022
  • Abschluss im Ausland / Maschinenbau / keine PO
  • Bachelor (research-oriented) / Maschinenbau / PO 2021
  • Bachelor (research-oriented) - Co-Op Programme with Integrated Vocational Training / Maschinenbau - dual / PO 2021
  • Bachelor (research-oriented) - Co-Op Programme with Practical Placement / Maschinenbau - dual / PO 2021
  • Bachelor (research-oriented) / Wirtschaftsinformatik / PO 2024
Remarks:
  • Study programme Informatik B.Sc.: Compulsory elective module in complex „Praktische Informatik“ (level 300)
  • Study programme Informations- und Medientechnik B.Sc.: Complex „Informatik“, mandatory module in fiels of study „Multimedia-Systeme“, compulsory elective module in the other fields of study
  • Study programme eBusiness M.Sc.: Compulsory elective module in main focus: „Entwicklung und Aufbau von eBusiness-Systemen“
  • Study programme Artificial Intelligence M.Sc.: Compulsory elective module in complex  „Acquisition, Representation, and Processing“
  • Study programme Künstliche Intelligenz Technologie M.Sc.: Compulsory elective module in complex “Software-basierte Systeme“
Module Components:
  • Lecture: Information Retrieval
  • Accompanying exercises (with integrated laboratory)
  • Related examination
Components to be offered in the Current Semester: