Course catalogue

Introduction to information retrieval systems. Information retrieval/filtering and browsing. Modeling: Set theoretic models, Algebraic models, Probabilistic models. Text processing and compression. Zipf's law and Heaps' law. Introduction to markup languages. Indexing methods: inverted files, suffix trees and arrays, signature files. Online search methods. Evaluation of information retrieval systems. User feedback and query expansion. Web search: search engines, web crawling techniques, link-based methods.

Upon successful completion of the course, the student will:

• Have the knowledge to distinguish between data retrieval and information retrieval, to analyze the architecture of an information retrieval system and to understand the properties of binary, vector and probabilistic information retrieval models.
• Have the skills to apply the most common methods of indexing, user feedback and query extension to information retrieval systems.
• Have the ability to evaluate information retrieval systems and understand web crawling techniques and the particularities of retrieving information on the Web.

Not required.

Final written exam, personal project.

Greek (English for Erasmus students)