Course detail

Applied Statistics

FP-PasPAcad. year: 2012/2013

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

doc. RNDr. Jiří Kropáč, CSc.

Department

Institute of Informatics (ÚI)

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).

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
- Portfolio Optimization

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. 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)

Classification of course in study plans

  • Programme MGR Master's

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

Type of course unit

 

Lecture

13 hours, optionally

Teacher / Lecturer

doc. Mgr. Veronika Novotná, Ph.D.

Computer-assisted exercise

26 hours, compulsory

Teacher / Lecturer

doc. Mgr. Veronika Novotná, Ph.D.