Course detail

Applied Statistic Methodology

FP-masKAcad. year: 2023/2024

The course deals with main ideas and methods of mathematical statistics, evaluation and checking the production process with methods of statistical process control and process capability index, determination of the characteristics of acceptance sampling and inventory management, basic concepts and methods of solving matrix games.

Basic contents:

Random variable, mathematical statistics, statistical process control, capability index, statistical acceptance sampling, inventory management, matrix games.

Language of instruction

Czech

Number of ECTS credits

Mode of study

Not applicable.

Guarantor

Ing. Karel Doubravský, Ph.D.

Department

Institute of Informatics (ÚI)

Entry knowledge

Basic knowledge of probability theory, descriptive statistics and mathematical statistics is required.

Rules for evaluation and completion of the course

The course-unit credit is awarded on the following conditions  

Exam (max. 100 points)

Seminar work during the semester

Final written or oral exam

Grades and corresponding points: A (100-90), B (89-80), C (79-70), D (69-60), E (59-50), F (49-0).

 

COMPLETION OF THE COURSE FOR STUDENTS WITH INDIVIDUAL STUDY Exam (max. 100 points)

Seminar work during the semester

Final written or oral exam

Grades and corresponding points: A (100-90), B (89-80), C (79-70), D (69-60), E (59-50), F (49-0).

 

Aims

The objective of the course is to learn students to work with the random variables, to work with statistical data sets, to use methods of statistical process control, process capability indexes, acceptance sampling, inventory management and analyze conflicting decision situations.


Students will gain knowledge of mathematical statistics, will be able to evaluate and control the production process with methods of statistical process control and process capability index, to evaluate the characteristics of acceptance sampling and inventory management, to analyze conflicting decision situations.

Study aids

see Course literature.
Study materials available on e-learning.

Prerequisites and corequisites

Not applicable.

Basic literature

CSN ISO 8258 Shewhartovy regulační diagramy. Praha: Český normalizační institut, 1994. (CS)
KROPÁČ, J. Statistika C. 2. vyd. Brno: Akademické nakladatelství CERM, 2012. 100 s. ISBN 978-80-7204-789-5. (CS)
Studijní materiály vystavené na e-learningu. (CS)

Recommended reading

KROPÁČ, J. Statistika A. 4. vyd. Brno: Fakulta podnikatelská, 2011. ISBN 978-80-214-4226-9.
KROPÁČ, J. Statistika B. 2. vyd. Brno: Fakulta podnikatelská, 2009. ISBN 978-80-214-3295-6.
KUPKA, K. Statistické řízení jakosti. Pardubice: TriloByte Statistical Software, 1997. ISBN 80-238-1818-X.
MONTGOMERY, D.C. Introduction to Statistical Quality Control. 6 ed. John Wiley & Sons, 2005. ISBN 978-0-470-16992-6.
TOŠENOVSKÝ, J. a D. NOSKIEVIČOVÁ. Statistické metody pro zlepšování jakosti. 1.vyd. Ostrava: Montanex, 2000. ISBN 80-7225-040-X.

Elearning

eLearning: currently opened course

Classification of course in study plans

  • Programme MGR-IM-KS Master's 2 year of study, winter semester, compulsory
  • Programme MGR-SRP-KS Master's 1 year of study, winter semester, compulsory

Type of course unit

 

Guided consultation in combined form of studies

16 hod., optionally

Teacher / Lecturer

Mgr. Eva Michalíková, Ph.D.

Syllabus

Consultation takes the form of personal meetings or through electronic communication.

Elearning

eLearning: currently opened course