Course detail

Bases of Scientific Metrology and Quality Control

FSI-9ZVM Acad. year: 2022/2023 Both semester

The subject is aimed at mastering the basics of scientific metrology, theory of measurement errors and uncertainties. Students will familiarize themselves with methods of process control, system and statistical analysis applicable in management of businesses and subordinate processes. Students will also understand the rules for process identification and selection of statistical variables of serial and job production. Students will master the rules of data collection and sorting, data analysis and their use for statistical process control.

Language of instruction

Czech

Learning outcomes of the course unit

The student will gain extensive and complex knowledge of scientific metrology and quality management systems, which will enable them to solve related problems in industrial practice with erudition.

Prerequisites

Knowledge of fundamentals of metrology, manufacturing technology and materials, knowledge of physics and applied statistics, basic knowledge of quality control.

Planned learning activities and teaching methods

The subject is taught in lectures, which explain the basic principles and theories of the discipline.

Assesment methods and criteria linked to learning outcomes

Examination from the field of this cource curriculum and its application in the semestral work.

Aims

The goal of the subject “Basics of scientific metrology and quality control” is the acquisition of theoretical and practical knowledge of scientific metrology and quality management systems in a way, that enables the PhD students to independently solve scientific tasks in this area.

Specification of controlled education, way of implementation and compensation for absences

The subject is carried out as lectures and consultations, attendance is controlled.

The study programmes with the given course

Programme D-KPI-P: Design and Process Engineering, Doctoral, recommended course

Programme D-KPI-K: Design and Process Engineering, Doctoral, recommended course

Type of course unit

 

Lecture

20 hours, optionally

Teacher / Lecturer

Syllabus

1. Introduction to scientific metrology, system of metrological
confirmation.
2. Measurement errors and their elimination.
3. Measurement trueness and precision, repeatability and reproducibility.
4. Measurement uncertainty.
5. Statistical tools in metrology
6. Statistical process control. General rules for SPC.
7. Control charts for variables.
8. Process capability. Indexes of shortterm and longterm capability.
9. Measurement capability.
10. Control charts for attributes.