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Data processing

Course Code:
14PD-E
Academic Degree:
master
Study Programme:
Intelligent Transport Systems (N1041A040006)
semesterlanguage
2english flag
Erasmus:
course for Erasmus and Exchange students in summer semester
Form of Study:
full-time
Credits:
6
Number of Hours:
2 + 4 hours per week - in full-time study
Type of Course:
obligatory
Course Completion:
credit, exam
Supervisor:
Ing. Mgr. Michal JEŘÁBEK, Ph.D.
Course Tutor:
 
roh  Lectures:
Ing. Martin Šrotýř, Ph.D.
Ing. Miroslav Vaniš, Ph.D.
roh  Training Course:
Ing. Martin Šrotýř, Ph.D.
Ing. Miroslav Vaniš, Ph.D.
Supervising Department:
Department of Applied Informatics in Transportation (16114)
Keywords:
Big Data; Datamining; Database; NoSQL.
Abstract:
Advanced SQL and its procedural extensions, data pre-processing, datamining, interpretation of datamining result, Big Data, Big Data processing, data warehousing, unstructured data and NoSQL database.
Objectives:
Students will be acquainted with selected data processing tools, datamining, working with Big Data and NoSQL databases.