Welcome to the course Information Technologies for Statistical Analysis and Quality Control
Course Duration: 30 hours
Course objectives:
Information technology systems can improve quality and increase productivity. In addition to software different statistical methods can be used to evaluate critical processes in order to control production procedures and performances. The course in Information Technologies for Statistical Analysis and Quality Control includes basic issues of mathematical statistics and its application for the needs of the textile and clothing industry. The training will be carried out mainly with universal and, if necessary, with specialized software products.
Learning outcomes:
Knowledge  Skills  Responsibilities/autonomy 




Syllabus:
The course in Information Technologies for Statistical Analysis and Quality Control includes basic issues of mathematical statistics and its application for the needs of the textile and clothing industry.
The training will be carried out mainly with universal and, if necessary, with specialized software products, through lessons:
1. The Seven Basic Quality Control Tools
2. The Seven Management and Planning Tools
3. Quality function deployment (QFD)
4. Failure modes and effects analysis (FMEA)
7. Testing of nonparametric statistical hypothesis
8. Testing of parametric statistical hypothesis
10. Analysis of variance (ANOVA)