Mode of delivery, planned learning activities and teaching methods:
seminar – 2 hours weekly (on-site method)
Credits allocated:
2
Recommended semester:
Process Control – bachelor (full-time, attendance method), 2. semester
Level of study:
1.
Prerequisites for registration:
none
Assesment methods:
Learning outcomes of the course unit:
Students have knowledge of the basics of the R language. They can use the R language and RStudio as an advanced calculator, know basic commands, work with basic data types, can use operations with vectors, arrays, and data frames. Students also have knowledge of extensions of the R language. They can create statistical analysis of data, its graphical display and an interactive web application in the R language.
Course contents:
Recommended or required reading:
Recommended:
TEETOR, P. R Cookbook, O'Reilly Media, 2011, 438 s. ISBN 978-0-596-80915-7.
WICKHAM, H. – GROLEMUND, G. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data, O'Reilly Media, 2017, 518 s. ISBN 978-1491910399.