ESF:BKM_UVOR Introduction to R - Course Information
BKM_UVOR Introduction to R
Faculty of Economics and AdministrationAutumn 2024
- Extent and Intensity
- 0/0/0. 6 credit(s). Type of Completion: z (credit).
In-person direct teaching - Teacher(s)
- doc. Mgr. Maria Králová, Ph.D. (seminar tutor)
- Guaranteed by
- doc. Mgr. Maria Králová, Ph.D.
Division of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Lenka Hráčková
Supplier department: Division of Applied Mathematics and Computer Science – Faculty of Economics and Administration - Timetable
- Sat 5. 10. 16:00–19:50 VT204, Fri 11. 10. 16:00–19:50 VT204, Fri 29. 11. 16:00–19:50 VT204
- Prerequisites
- FORMA(K)
To enrol in a course basic computer skills are needed. - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 45 student(s).
Current registration and enrolment status: enrolled: 31/45, only registered: 1/45, only registered with preference (fields directly associated with the programme): 0/45 - fields of study / plans the course is directly associated with
- Business Analytics (programme ESF, B-BA)
- Course objectives
- The course aims to familiarise students with the system R and to comprehend the basic philosophy of R and the syntax of its programming language including basic operators and commands, writing procedures, graphics and commands related to some more advanced topics in statistics.
After graduation of the course, the student will be able to solve practical exercises and problems using R. - Learning outcomes
- After graduation of the course student should to:
- know elementary R syntaxes - know elementary R objects - know to manipulate with data tables - create graphs based on basic R graphics package - solve essential statistical tasks via R - Syllabus
- 1. Get familiarized with the system R
- 2. Work with data sets
- 3. Basic commands in R
- 4. Objects
- 5. Constants, operators a mathematical computing
- 6. Manipulating with objects
- 7. Basics of graphics in R
- 8. Programming in R
- 9. External packages
- Literature
- recommended literature
- KONEČNÁ, Kateřina and Jan KOLÁČEK. Jak pracovat s jazykem R (How to work with R language). 2011, 84 pp. info
- NOVÁKOVÁ, Kateřina and Petr VESELÝ. Jazyk R a tvorba grafů. První vydání. Praha: Grada Publishing, 2021, 253 stran. ISBN 9788027131372. URL info
- KABACOFF, Robert. R in action : data analysis and graphics with R. Shelter Island, NY: Manning, 2011, xxiv, 447. ISBN 9781935182399. info
- Teaching methods
- Practically oriented tutorials with an emphasis on the active students' approach. Study of recommended literature, autokorection tests, individual work on assigned tasks.
- Assessment methods
- The course is completed by graded credit after the submission of well-worked continuous assignments and successful completion of the final test in the R environment.
For Erazmus students: online participation at seminars via MS Teams, active participation at seminar work project, presence at final exam. - Language of instruction
- Czech
- Study support
- https://is.muni.cz/auth/el/econ/podzim2024/BKM_UVOR/index.qwarp
- Further comments (probably available only in Czech)
- Study Materials
The course is taught annually.
Information on the extent and intensity of the course: tutorial 12 hodin.
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/econ/autumn2024/BKM_UVOR