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Course module: 201600083
201600083
Advanced Project in Information Retrieval
Course info
Course module201600083
Credits (ECTS)5
Course typeCourse
Language of instructionEnglish
Contact persondr.ir. D. Hiemstra
E-maild.hiemstra@utwente.nl
Lecturer(s)
Contactperson for the course
dr.ir. D. Hiemstra
Lecturer
dr.ir. D. Hiemstra
Lecturer
prof.dr. T.W.C. Huibers
Lecturer
dr.ir. R.B. Trieschnigg
Academic year2018
Starting block
1B
Application procedureYou apply via OSIRIS Student
Registration using OSIRISYes
Learning goals
After completing the course, the student is able to:
  • Perform a practical and/or theoretical research project on a specific part/problem in the field of Information Retrieval.
  • Present, discuss and defend the ideas, progress and problems of the research project to an audience of peers.
  • Present the result of the research in the form of a short research paper.
Content
Information Retrieval is the discipline that studies computer-based search tools. Web search engines are well-known incarnations of information retrieval systems: Their importance for users and their value for IT companies are one of the most remarkable success stories of Computer Science and Human Computer Interaction.
This course is a natural follow-up of the course Foundations of Information Retrieval. In this course, students participate actively in research done at the University of Twente. Each student will choose a research problem, and will implement and/or research possible solutions. Problems can be practical or theoretical or both, and address all parts of Information Retrieval systems, including the user interface. Depending on the kind of problem chosen, there are requirements on other courses the student has to have followed. Solutions can be tested using data from international evaluation activities such as the Text REtrieval Conference (TREC) and the Cross-Language Evaluation Forum (CLEF) in which the university is one of the major players. The scheduled time for the lectures will be used to set up a discussion forum in which all participants actively exchange their ideas, progress, and problems. Students will discuss their progress in detail at least two times during the course. As the result of their research, students will write a short research paper, and they will publish their data and/or their implementation as open data and open source software.
Assumed previous knowledge
Preferably Foundations or Information Retrieval, or one or more of: Machine Learning 1; Data Science; or Speech and Language Processing 1.
PARTICIPATING STUDY
Master Computer Science
PARTICIPATING STUDY
Master Interaction Technology
Required materials
-
Recommended materials
-
Instructional modes
Presentation(s)
Presence dutyYes

Project supervised
Presence dutyYes

Tests
Test

Remark
Thesis / Presentation(s)

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Kies de Nederlandse taal