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Information and Knowledge Retrieval (E)
level of course unit
second cycle, MasterLearning outcomes of course unit
Upon completing this course the students will be aware of the complexity and areas of application of the known fundamental algorithms in information retrieval. The students will be in a position to analyze unaided partly structured or unstructured data sets and to make them searchable and also to evaluate and assess available systems or those they have designed and developed themselves.
prerequisites and co-requisites
not applicable
course contents
In this integrated course, instruction is given in basic topics in the field of information retrieval. Emphasis is placed on the following: retrieval models (Boolean, vector space, probabilistic, etc.); the implementation of IR systems (layer model, visualization, access paths, algorithms); representation of content (free text search, documentation languages, special logic, indexing, etc.); web retrieval (link analysis, crawling); content-based search in multimedia documents.
recommended or required reading
- C. D. Manning, P. Raghavan, H. Schütze: Introduction to Information Retrieval, Cambridge University Press, 2008;
- B. Croft, D. Metzler, T. Strohman: Search Engines: Information Retrieval in Practice. Addison-Wesley, 2009
- B. Croft, D. Metzler, T. Strohman: Search Engines: Information Retrieval in Practice. Addison-Wesley, 2009
assessment methods and criteria
Final examination
language of instruction
Englishnumber of ECTS credits allocated
6eLearning quota in percent
17course-hours-per-week (chw)
3planned learning activities and teaching methods
Lecture, group work, presentation and task discussion
