Course Details
Basics of Management And Metrology in the Construction Industry
Academic Year 2024/25
NIB012 course is part of 1 study plan
NPC-SIM Winter Semester 2nd year
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.