Statistical Software (FSI-0SS)

Academic year 2025/2026
Supervisor: Ing. Pavel Hrabec, Ph.D.  
Supervising institute: ÚM all courses guaranted by this institute
Teaching language: Czech
Aims of the course unit:

Students will get acquainted with the Minitab program, which is a tool for statistical and probability calculations. They will learn to use this software with broader capabilities than those required in the Mathematics IV course, enabling them to perform calculations necessary for semester projects. Furthermore, their knowledge of applying basic principles of probability and statistics will be expanded, including measurement system analysis, control charts, process capability, and non-parametric hypothesis tests.
Learning outcomes and competences:
 
Prerequisites:

Knowledge of basic methods of descriptive statistics, probability theory and mathematical statistics is assumed.
Course contents:

The course is intended as a computer support for students taking up course Mathematics IV. The main purpose of this course is to introduce statistics software Minitab, and expanding upon basic statisticall skills. The acquired pieces of knowledge can be used in semester and diploma projects.
Teaching methods and criteria:
 
Assesment methods and criteria linked to learning outcomes:

Course-unit credit requirements: Continuous active work at seminars.
Attendance at seminars is controlled and the teacher decides on the compensation for absences.
Controlled participation in lessons:
 
Type of course unit:
    Computer-assisted exercise  13 × 2 hrs. compulsory                  
Course curriculum:
    Computer-assisted exercise

1. Information about statistical software Minitab.
2. Basic types of random variables distributions.
3. Control charts
4. Process capability I
5. Process capability II
6. MSA Measurement system analysis I
7. MSA measurement system analysis II
8. Statistical hypotheses testing and confidence intervals
9. The semester assignment 4M.
10. Nonparametric hypotheses testing
11. Logistic regression
Literature - fundamental:
3. Anděl, J.: Statistické metody. Praha : Matfyzpress, 1993.
4.

Montgomery, D. C., & Runger, G. C. (c2011). Applied statistics and probability for engineers (5th ed). Wiley.
Literature - recommended:
1. Karpíšek, Z.: Matematika IV. Statistika a pravděpodobnost. Brno : FSI VUT v CERM, 2003.
2. Karpíšek, Z. - Popela, P. - Bednář, J.: Statistika a pravděpodobnost. Učební pomůcka - studijní opora pro kombinované studium. Brno : FSI VUT v CERM Brno, 2002.
The study programmes with the given course:
Programme Study form Branch Spec. Final classification   Course-unit credits     Obligation     Level     Year     Semester  
B-FIN-P full-time study --- no specialisation -- Cr 2 Elective 1 2 S
B-MAI-P full-time study --- no specialisation -- Cr 2 Elective 1 3 S
B-MET-P full-time study --- no specialisation -- Cr 2 Elective 1 2 S
B-ZSI-P full-time study STI Fundamentals of Mechanical Engineering -- Cr 2 Elective 1 2 S
B-ZSI-P full-time study MTI Materials Engineering -- Cr 2 Elective 1 3 S