Information and Knowledge Retrieval (E)
Niveau
second cycle, Master
Learning outcomes of the courses/module
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 for the course
not applicable
Course content
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 specialist literature
- 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
English
Number of ECTS credits awarded
6
Share of e-learning in %
17
Semester hours per week
3.0
Planned teaching and learning method
Lecture, group work, presentation and task discussion
Semester/trimester in which the course/module is offered
1
Name of lecturer
Prof. (FH) Dipl.-Inf. Karsten Böhm
Academic year
1
Key figure of the course/module
DTS.2
Type of course/module
integrated lecture
Type of course
Compulsory
Internship(s)
not applicable