Course detail

Applied Statistics

FP-PasKAcad. year: 2015/2016

Random Variables, methods of Mathematical Statistics, Statistical Process Control,
Process Capability Indexes, Acceptance Sampling, Inventory Management.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

Mgr. Eva Michalíková, Ph.D.

Department

Institute of Informatics (ÚI)

Learning outcomes of the course unit

In the course students learn 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. After completion of this course students will be prepared to use these methods in economic courses.

Prerequisites

Foundations of probability theory and mathematical statistics.

Co-requisites

Not applicable.

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 based on submitting answers to calculation tasks.
The mark, which corresponds to the total sum of points achieved (max 100 points), consists of:
- points achieved in control test,
- points achieved by computer-aided calculation of projects
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
- Regression analysis
- Statistical Process Control
- Process Capability Index
- Acceptance Sampling
- Inventory Management

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, 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.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

KROPÁČ, J. Statistika. 2. vyd. Brno: CERM, 2012. ISBN 978-80-7204-788-8. (CS)
KROPÁČ, J. Statistika C. 2. vyd. Brno: CERM, 2012. ISBN 978-80-7204-789-5. (CS)
KROPÁČ, J. Statistika C. 1. vyd. Brno : FP VUT, 2008. ISBN 978-80-214-3591-9. (CS)

Recommended reading

CSN ISO 8258: Shewhartovy regulační diagramy. ČNI Praha, 1993. (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)

Classification of course in study plans

  • Programme MGR-KS Master's

    branch MGR-PFO-KS , 2. year of study, winter semester, compulsory

Type of course unit

 

Lecture

16 hours, optionally

Teacher / Lecturer

Mgr. Eva Michalíková, Ph.D.

Syllabus

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