Course detail

Applied Statistics

FP-RasKAcad. year: 2011/2012

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

doc. RNDr. Jiří Kropáč, CSc.

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, acceptance sampling and inventory management. After completion of this course students will be prepared to use these methods in economic courses.

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).


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

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 on lectures .................................... 20 hours
Tutorial .................................................. 10 hours
Individual preparations on lectures (individual study
of literature inclusive of study on CD, internet, etc.) ... 26 hours
Preparation submitting tasks .............................. 15 hours
Check submitting tasks .................................... 7 hours
Graded course-unit ........................................ 3 hours

Total hours ............................................... 81

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

KROPÁČ, J. Statistika C. 1. vyd. Brno : FP VUT, 2008. ISBN 978-80-214-3591-9. (CS)

Recommended reading

TOŠENOVSKÝ, J., NOSKIEVIČOVÁ, D. Statistické metody pro zlepšování jakosti. Ostrava : Montanex a.s. ISBN 80-7225-040-X. (CS)
Shewhartovy regulační diagramy, ČSN 8258. (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-ŘEP-KS , 1. year of study, winter semester, compulsory-optional

Type of course unit

 

Lecture

16 hours, optionally

Teacher / Lecturer

doc. RNDr. Jiří Kropáč, CSc.