Web Engineering & IT Solutions PT
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Information and Knowledge Retrieval (E)

level of course unit

second cycle, Master

Learning 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

assessment methods and criteria

Final examination

language of instruction


number of ECTS credits allocated


eLearning quota in percent


course-hours-per-week (chw)


planned learning activities and teaching methods

Lecture, group work, presentation and task discussion

semester/trimester when the course unit is delivered


name of lecturer(s)

Prof. (FH) Dipl.-Inf. Karsten Böhm, Prof. (FH) PD Dr. Mario Döller

year of study


recommended optional program components

not applicable

course unit code


type of course unit

integrated lecture

mode of delivery


work placement(s)

not applicable