Přístupnostní navigace
E-application
Search Search Close
Course detail
FIT-UPAAcad. year: 2019/2020
The course introduces fundamental data classification from the viewpoint of data mining and knowledge discovery. It also provides insight on selected modern database systems and particular topics are studied in deep manner --- there are presented object-relational databases, spatial databases (including issues connected with spatial data storage and indexing), NoSQL databases, XML databases, and multimedia databases. Moreover, advanced queries on relational databases are discussed too. Next, it is explained a process of data mining and knowledge discovery and particular steps of this process. The explanations is focused on typical tasks performed in data pre-processing before ongoing extraction of potentially useful knowledge from data. The process of data mining and knowledge discovery is presented on selected use-cases.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Learning outcomes of the course unit
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Course curriculum
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
Recommended reading
Classification of course in study plans
specialization NBIO , 1 year of study, winter semester, compulsoryspecialization NSEN , 1 year of study, winter semester, compulsoryspecialization NVIZ , 1 year of study, winter semester, compulsoryspecialization NGRI , 0 year of study, winter semester, compulsoryspecialization NISD , 1 year of study, winter semester, compulsoryspecialization NSEC , 0 year of study, winter semester, compulsoryspecialization NCPS , 1 year of study, winter semester, compulsoryspecialization NHPC , 0 year of study, winter semester, compulsoryspecialization NNET , 1 year of study, winter semester, compulsoryspecialization NMAL , 1 year of study, winter semester, compulsoryspecialization NVER , 0 year of study, winter semester, compulsoryspecialization NIDE , 1 year of study, winter semester, compulsoryspecialization NEMB , 0 year of study, winter semester, compulsoryspecialization NSPE , 1 year of study, winter semester, compulsoryspecialization NADE , 1 year of study, winter semester, compulsoryspecialization NMAT , 0 year of study, winter semester, compulsoryspecialization NISY , 0 year of study, winter semester, compulsory
Lecture
Teacher / Lecturer
Syllabus
Fundamentals seminar
Exercise in computer lab
Project