Course Details

Basics of Management And Metrology in the Construction Industry

Academic Year 2024/25

CI059 course is not part of any programme in the faculty

Course Guarantor

Institute

Language of instruction

Czech

Credits

5 credits

Semester

winter

Forms and criteria of assessment

course-unit credit and examination

Offered to foreign students

Not to offer

Course on BUT site

Lecture

13 weeks, 2 hours/week, elective

Syllabus

1. Introduction, organization and completion of the course, EU and the Czech Republic legislation in terms of product responsibility, the accreditation system in the Czech Republic and EU regulatory basis of the accreditation process, the Ministry of Transport requirements for building materials, products and more. 2. Standards for management systems; Definition of basic concepts concerning management systems; General principles of management systems. 3. Quality Management System; Environmental Management System. 4. Environmental Management System; OHS management system. 5. Requirements for test laboratories I. - system competence. 6. Requirements for test laboratories II. - Technical competence. 7.–8. Statistical Methods in Civil Engineering, assurance of test results quality, the estimation of uncertainty in quantitative testing, proficiency testing programs. 9.–10. Design of Experiments (DOE), assessment of production process capability, statistical control, statistical sampling and inspection and test plans.

Exercise

13 weeks, 2 hours/week, compulsory

Syllabus

1. Documents MPA, EA, ILAC and IAF, the information available from Internet sources the ČIA and ÚNMZ, relevant legislation of Ministry of Transport of the Czech Republic concerning roads. 2. Evaluation of the quality of concrete using non-destructive testing methods. 3. Evaluation of non-destructive testing of concrete in accordance with procedures in various ČSN-task. 4. ČSN product requirements for measuring and testing equipment. 5. Case studies and tasks with of a laboratory system theme. 6. Case studies and tasks with the theme of the technical competence of laboratories. 7.–8. An example of statistical software and work with it. 9.–10. Practical examples of statistical processing tasks using specialized software.