To impart basic knowledge in the domain of data mining.

Upon successful completion of the course the students will have acquired knowledge and skills that will enable them to efficiently apply basic techniques of artificial intelligence and machine learning to mine data. They will be introduced to various aspects of computers as data mining tools, structural pattern discovery, presentation and use of knowledge discovered.

The course will cover the following areas: an overview of the basic concepts of data mining, data sources and preprocessing, decision trees, neural networks, support vector machines, clustering, time series analysis. Theoretical instruction will be accompanied by practical training in the use of open source data mining solutions.

Auditory and laboratory, semestral paper and oral exam.