Course detail
Applied Statistics
FP-RasPAcad. year: 2010/2011
Random Variables, methods of Mathematical Statistics, Statistical Process Control,
Process Capability Indices, Acceptance Sampling, Inventory Management.
Language of instruction
Czech
Number of ECTS credits
4
Mode of study
Not applicable.
Guarantor
Department
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 characterics of acceptance sampling and inventory management.
Prerequisites
Fundamentals of probability theory and mathematical statistics.
Co-requisites
Not applicable.
Planned learning activities and teaching methods
Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations.
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 seminars,
- submitting answers to theoretical questions,
- 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 (69-61), E (59-50), F (49-0).
The graded course-unit credit will be awarded on the folloving conditions:
- participation in seminars,
- submitting answers to theoretical questions,
- 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 (69-61), E (59-50), F (49-0).
Course curriculum
Topics of lectures are the following:
- Discrete Random Variables
- Continuous Random Variables
- Data samples
- Testing statistical hypothesis
- Statistical Process Control
- Process Capability Index
- Acceptance Sampling
- Inventory Management
- Optimisation of Marget Portfolio
The topics of exercises correspond to the topics delt with the lectures.
- Discrete Random Variables
- Continuous Random Variables
- Data samples
- Testing statistical hypothesis
- Statistical Process Control
- Process Capability Index
- Acceptance Sampling
- Inventory Management
- Optimisation of Marget Portfolio
The topics of exercises correspond to the topics delt with the lectures.
Work placements
Not applicable.
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 indices, 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 required and checked by the tutor. An excused absence of a student from seminars can be compensated for by submitting solution of alternate exercises.
Recommended optional programme components
Not applicable.
Prerequisites and corequisites
Not applicable.
Basic literature
KROPÁČ, J. Statistika A. 3. vyd. Brno : FP VUT, 2008. ISBN 978-80-214-3587-2. (CS)
KROPÁČ, J. Statistika B. 2. vyd. Brno : FP VUT, 2009. ISBN 978-80-214-3295-6. (CS)
KROPÁČ, J. Statistika C. 1. vyd. Brno : FP VUT, 2008. ISBN 978-80-214-3591-9. (CS)
KROPÁČ, J. Statistika B. 2. vyd. Brno : FP VUT, 2009. ISBN 978-80-214-3295-6. (CS)
KROPÁČ, J. Statistika C. 1. vyd. Brno : FP VUT, 2008. ISBN 978-80-214-3591-9. (CS)
Recommended reading
ČSN ISO 8258: Shewhartovy regulační diagramy. ČNI Praha, 1993. (CS)
KROPÁČ, J. Statistika. 1. vyd. Brno : FP VUT, 2010. ISBN 978-80-214-3866-8. (CS)
TOŠENOVSKÝ, J., NOSKIEVIČOVÁ, D. Statistické metody pro zlepšování jakosti. Ostrava : Montanex a.s. ISBN 80-7225-040-X. (CS)
KROPÁČ, J. Statistika. 1. vyd. Brno : FP VUT, 2010. ISBN 978-80-214-3866-8. (CS)
TOŠENOVSKÝ, J., NOSKIEVIČOVÁ, D. Statistické metody pro zlepšování jakosti. Ostrava : Montanex a.s. ISBN 80-7225-040-X. (CS)
Classification of course in study plans