2026
Quality Control and Hazard Modeling
Name: Quality Control and Hazard Modeling
Code: MAT13597D
6 ECTS
Duration: 15 weeks/156 hours
Scientific Area:
Mathematics
Teaching languages: Portuguese
Languages of tutoring support: Portuguese
Sustainable Development Goals
Learning Goals
It is intended that students acquire knowledge and fundamental methodologies in quality control, reliability and survival analysis, in order to know several quality control charts, several sampling schemes and acceptance sampling plans, different ways to assess the ability of a process or service, fundamental concepts of reliability/survival and how to model the risk of occurrence of a given event.
At the end of the course, students should be able to:
• Implement a statistical control of a process or service, to assess its capability and of the measuring system;
• Evaluate the performance of different sampling schemes in quality control;
• Estimate reliability of different equipment;
• Model the hazard of a given event, being able to apply the best approach in each situation and to interpret and discuss the obtained results;
• To understand the related literature in order to carry out research in this area.
At the end of the course, students should be able to:
• Implement a statistical control of a process or service, to assess its capability and of the measuring system;
• Evaluate the performance of different sampling schemes in quality control;
• Estimate reliability of different equipment;
• Model the hazard of a given event, being able to apply the best approach in each situation and to interpret and discuss the obtained results;
• To understand the related literature in order to carry out research in this area.
Contents
Control charts for variables and attributes.
Sampling schemes in quality control. Statistical properties. Performance measures.
Process capability analysis.
Capacity of the measuring system.
Acceptance sampling.
Reliability and survival.
Series and parallel systems.
Parametric and non-parametric hazard models.
Inspection systems policies.
Sampling schemes in quality control. Statistical properties. Performance measures.
Process capability analysis.
Capacity of the measuring system.
Acceptance sampling.
Reliability and survival.
Series and parallel systems.
Parametric and non-parametric hazard models.
Inspection systems policies.
Teaching Methods
Theoretical-practical lessons combining the concepts with their application to real data from different areas. The sessions include modeling and data analysis with the help of appropriate statistical software.
Focus on modeling, critical interpretation and data analysis.
Evaluation:
Continuous: carrying out 3 or 4 individual/group projects.
Final exam: if the average of the papers submitted for continuous assessment is not equal to or higher than 10.
Focus on modeling, critical interpretation and data analysis.
Evaluation:
Continuous: carrying out 3 or 4 individual/group projects.
Final exam: if the average of the papers submitted for continuous assessment is not equal to or higher than 10.
Accreditations and Certifications
