FP-asPAcad. year: 2017/2018
Random Variables, Methods of Mathematical Statistics, Statistical Process Control, Process Capability Indices, Acceptance Sampling, Inventory Management.
Learning outcomes of the course unit
Students will be made familiar with the methods of mathematical statistics, 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.
Fundamentals of probability theory and mathematical statistics.
Recommended optional programme components
Recommended or required reading
ČSN ISO 8258: Shewhartovy regulační diagramy. ČNI Praha, 1993.
KROPÁČ, J. Statistika A. 3. vyd. Brno : FP VUT, 2008. ISBN 978-80-214-3587-2.
TOŠENOVSKÝ, J., NOSKIEVIČOVÁ, D. Statistické metody pro zlepšování jakosti. Ostrava : Montanex a.s. ISBN 80-7225-040-X.
KROPÁČ, J. Statistika B. 2. vyd. Brno : FP VUT, 2009. ISBN 978-80-214-3295-6.
KROPÁČ, J. Statistika. 1. vyd. Brno : FP VUT, 2010. ISBN 978-80-214-3866-8.
KROPÁČ, J. Statistika C. 1. vyd. Brno : FP VUT, 2008. ISBN 978-80-214-3591-9.
Planned learning activities and teaching methods
The course contains lectures that explain basic principles, problems and methodology of the discipline, and exercises that promote the practical knowledge of the subject presented in the lectures.
Assesment methods and criteria linked to learning outcomes
GRADED COURSE-UNIT CREDIT:
The graded course-unit credit will be awarded on the folloving conditions:
- participation in final test
- submitting calculation projects solved on computer.
The mark, which corresponds to the total sum of points achieved (max 100 points), consists of:
- points achieved in control tests,
- points achieved by computer-aided calculation of projects and theoretical questions.
The grades and corresponding points:
A (100-90), B (89-80), C (79-70), D (69-60), E (59-50), F (49-0).
Language of instruction
Topics of lectures are the following:
- Discrete Random Variables
- Continuous Random Variables
- Data samples
- Testing statistical hypothesis
- Regression analysis
- Statistical Process Control
- Process Capability Index
- Acceptance Sampling
- Inventory Management
The topics of exercises correspond to the topics delt with the lectures.
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 indices, to evaluate the characteristics of acceptance sampling and inventory management.
Specification of controlled education, way of implementation and compensation for absences
Attendance at lectures is not compulsory but is recommended.
Attendance at exercises is not compulsory but is recommended. and is checked by the tutor.