MPM_VSVS Calculation Systems

Faculty of Economics and Administration
Spring 2021
Extent and Intensity
0/2/0. 4 credit(s). Type of Completion: z (credit).
doc. Mgr. Maria Králová, Ph.D. (seminar tutor)
Guaranteed by
doc. Mgr. Maria Králová, Ph.D.
Department of Applied Mathematics and Computer Science - Faculty of Economics and Administration
Contact Person: Lenka Hráčková
Supplier department: Department of Applied Mathematics and Computer Science - Faculty of Economics and Administration
To enroll in a course a basic computer skills and a basic knowledge of Statistics 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 48 student(s).
Current registration and enrolment status: enrolled: 0/48, only registered: 0/48, only registered with preference (fields directly associated with the programme): 0/48
fields of study / plans the course is directly associated with
Course objectives
The aim of the course is to familiarize 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 datatables - create graphs based on basic R graphics package - solve standard tasks of statistical inference by R
  • 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
  • 10.-12. Selected topics in Statistics and their application in R
Teaching methods
The teaching has the form of computer-aided seminar sessions supported by the computer projection screen. Practical training is using system R.
Assessment methods
After success at progress test the course is completed by graded credit.
Language of instruction
Further comments (probably available only in Czech)
The course is taught annually.
The course is taught: every week.
General note: Student musí mít absolvovaný předmět BPM_STA1 a BPM_STA2 nebo jim analogické předměty.
The course is also listed under the following terms Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020.
  • Enrolment Statistics (Spring 2021, recent)
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