Course: Computer Practicum (R)

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Course title Computer Practicum (R)
Course code KAP/PPR
Organizational form of instruction Lesson
Level of course Bachelor
Year of study not specified
Semester Winter
Number of ECTS credits 3
Language of instruction Czech
Status of course Compulsory, Compulsory-optional
Form of instruction Face-to-face
Work placements Course does not contain work placement
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Šimková Tereza, Mgr. Ph.D.
Course content
1. Introduction to R software, basic functionalities 2. Data types and objects, data structures (vector, matrix, array) 3. Data structures (data table, list) 4. Mathematical functions and constants 5. Graphics (high- a low-level functions) 6. Graphics (high- a low-level functions) 7. Creating functions and scripts, conditional commands 8. Cycle commands 9. Descriptive statistics in R (measures of location and dispersion, graphical representation of data) 10. Descriptive statistics in R (measures of association between two variables) 11. Inferential statistics in R (parameter estimation) 12. Inferential statistics in R (hypothesis testing) 13. Exercises 14. Exercises

Learning activities and teaching methods
Laboratory work
  • Class attendance - 28 hours per semester
  • Preparation for credit - 28 hours per semester
  • Home preparation for classes - 4 hours per semester
Learning outcomes
The course will include the important features of R.
Basic functionality of R and how to use it for a statistical task solving.
Prerequisites
Basic probability and statistics and computer skills.

Assessment methods and criteria
Student's performance analysis

Credit: Active participation on seminars, semestral work.
Recommended literature
  • C. Heumann, M. Schomaker, Shalabh. Introduction to Statistics and Data Analysis with Exercises, Solutions and Applications in R. 978-3-319-46160-1, 2016.
  • W.K. Venables, D.M. Smith, the R Development Core Team. An Introduction to R.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science, Humanities and Education Study plan (Version): Teacher Training for Lowe and Upper Secondary Schools - Mathematics (20) Category: Pedagogy, teacher training and social care - Recommended year of study:-, Recommended semester: Winter
Faculty: Faculty of Science, Humanities and Education Study plan (Version): Teacher Training for Lower and Upper Secondary Schools - Mathematics (20) Category: Pedagogy, teacher training and social care - Recommended year of study:-, Recommended semester: Winter