Students got acquainted with the fundamentals of statistics, learned to sort, process and statistically analyze one-dimensional and multidimensional data files, they know to choose the appropriate statistical method to solve a specific task and apply the method to a data file using R programming language and R Studio software.
Prerequisites for registration:
Recommended or required reading:
VARGA, Š. Matematická štatistika. Bratsilava : Nakladateľstvo STU, 2012. 219 s. ISBN 978-80-227-3789-0.
SCHMULLER, J. Statistical Analysis with R For Dummies. Wiley, 2017. 438 s. ISBN 978-1-119-33706-5.
WITTE, R.S. – WITTE, J.S. Statistics. Wiley, 2017. 480 s. ISBN 978-1-119-25451-5.
Planned learning activities and teaching methods:
exercises 26 h
preparation for exercises (study of literature, calculations) 10 h
individual work on a project and its presentation 14 h
Assesment methods and criteria:
Final project defense
Language of instruction:
Institute of Information Engineering, Automation and Mathematics was established in 1.1.2006 from two departments: Department of Information Engineering and Process Control and Department of Mathematics.