Programme

The course is organized into two complementary modules: managerial and statistical. It contributes to increase the knowledge of Total Quality Management fields and to provide tools and methodology for assuming managerial decision making in private and public organizations. Moreover, it illustrates the statistical methodologies to achieve a quality analysis. Some elements of descriptive statistics will be included (histogram, Pareto diagram, box plot). In order to use the following variables and attributes control charts, indicate the process capacity indicators and analyze the external quality.

The course is designed by developing the different aspects related to the TQM both theoretically and operationally.

Managerial module contents:

• Evolution of the quality concept and TQM principles

Core Documentation

Cappelli L., Renzi M.F., (2010), «Management della Qualità», Cedam, Padova

“Controllo statistico di qualità” di Douglas C. Montgomery. McGraw-Hill (2005)

Teachers will provide other materials we propose during the course and it will be available on the website and on the teaching platform (to be define).

Reference Bibliography

.

Type of delivery of the course

The course allows students to learn, methods and tools of quality management. It provides theoretical insights and analysis of case studies. The course awards 9 credits awarded in 60 hours, of which 40 hours will be dedicated to the managerial module and 20 to the statistical module. To promote integrated and interdisciplinary learning, the course includes both case studies and project work with the aim of: - to enable students to face managerial problems, identifying solutions; - to use statistical and managerial tools for decision making; - to deliver concrete experience useful for experimenting with the application of methods and tools to solve problems of real context. The project is organized annually with private or public bodies interested in collaborating

Attendance

.Class attendance is not mandatory, but it is recommended

Type of evaluation

The exam consists of a written test administered on the Moodle platform in a computer lab, in the form of multiple-choice questions and open-ended questions. Students who pass the written test will complete the exam with an oral examination. The overall value of the exam is 30 points. To pass the exam, students must obtain an overall score of at least 18/30 in the written test. Both attending and non-attending students may take the exam. The course includes the development of an interdisciplinary project. The project is OPTIONAL and is reserved for students who attend classes in person. The project will be launched on 13 March 2026 and will be presented orally during class sessions. The project is assessed on a scale of 0 to 3 points (where 0 is assigned to completely inconsistent projects and 3 to very good/excellent projects). The project score is added to the exam grade. The project grade may be used up to the January/February 2027 examination session. The project submission deadline is 28 May 2026.

Programme

The course is organized into two complementary modules: managerial and statistical. It contributes to increase the knowledge of Total Quality Management fields and to provide tools and methodology for assuming managerial decision making in private and public organizations. Moreover, it illustrates the statistical methodologies to achieve a quality analysis. Some elements of descriptive statistics will be included (histogram, Pareto diagram, box plot). In order to use the following variables and attributes control charts, indicate the process capacity indicators and analyze the external quality.

The course is designed by developing the different aspects related to the TQM both theoretically and operationally.

Managerial module contents:

• Evolution of the quality concept and TQM principles

Core Documentation

Cappelli L., Renzi M.F., (2010), «Management della Qualità», Cedam, Padova

“Controllo statistico di qualità” di Douglas C. Montgomery. McGraw-Hill (2005)

Teachers will provide other materials we propose during the course and it will be available on the website and on the teaching platform (to be define).

Reference Bibliography

.

Type of delivery of the course

The course allows students to learn, methods and tools of quality management. It provides theoretical insights and analysis of case studies. The course awards 9 credits awarded in 60 hours, of which 40 hours will be dedicated to the managerial module and 20 to the statistical module. To promote integrated and interdisciplinary learning, the course includes both case studies and project work with the aim of: - to enable students to face managerial problems, identifying solutions; - to use statistical and managerial tools for decision making; - to deliver concrete experience useful for experimenting with the application of methods and tools to solve problems of real context. The project is organized annually with private or public bodies interested in collaborating

Attendance

.Class attendance is not mandatory, but it is recommended

Type of evaluation

The exam consists of a written test administered on the Moodle platform in a computer lab, in the form of multiple-choice questions and open-ended questions. Students who pass the written test will complete the exam with an oral examination. The overall value of the exam is 30 points. To pass the exam, students must obtain an overall score of at least 18/30 in the written test. Both attending and non-attending students may take the exam. The course includes the development of an interdisciplinary project. The project is OPTIONAL and is reserved for students who attend classes in person. The project will be launched on 13 March 2026 and will be presented orally during class sessions. The project is assessed on a scale of 0 to 3 points (where 0 is assigned to completely inconsistent projects and 3 to very good/excellent projects). The project score is added to the exam grade. The project grade may be used up to the January/February 2027 examination session. The project submission deadline is 28 May 2026.

Programme

The course is organized into two complementary modules: managerial and statistical. It contributes to increase the knowledge of Total Quality Management fields and to provide tools and methodology for assuming managerial decision making in private and public organizations. Moreover, it illustrates the statistical methodologies to achieve a quality analysis. Some elements of descriptive statistics will be included (histogram, Pareto diagram, box plot). In order to use the following variables and attributes control charts, indicate the process capacity indicators and analyze the external quality.

The course is designed by developing the different aspects related to the TQM both theoretically and operationally.

Managerial module contents:

• Evolution of the quality concept and TQM principles

Core Documentation

Cappelli L., Renzi M.F., (2010), «Management della Qualità», Cedam, Padova

“Controllo statistico di qualità” di Douglas C. Montgomery. McGraw-Hill (2005)

Teachers will provide other materials we propose during the course and it will be available on the website and on the teaching platform (to be define).

Reference Bibliography

.

Type of delivery of the course

The course allows students to learn, methods and tools of quality management. It provides theoretical insights and analysis of case studies. The course awards 9 credits awarded in 60 hours, of which 40 hours will be dedicated to the managerial module and 20 to the statistical module. To promote integrated and interdisciplinary learning, the course includes both case studies and project work with the aim of: - to enable students to face managerial problems, identifying solutions; - to use statistical and managerial tools for decision making; - to deliver concrete experience useful for experimenting with the application of methods and tools to solve problems of real context. The project is organized annually with private or public bodies interested in collaborating

Attendance

.Class attendance is not mandatory, but it is recommended

Type of evaluation

The exam consists of a written test administered on the Moodle platform in a computer lab, in the form of multiple-choice questions and open-ended questions. Students who pass the written test will complete the exam with an oral examination. The overall value of the exam is 30 points. To pass the exam, students must obtain an overall score of at least 18/30 in the written test. Both attending and non-attending students may take the exam. The course includes the development of an interdisciplinary project. The project is OPTIONAL and is reserved for students who attend classes in person. The project will be launched on 13 March 2026 and will be presented orally during class sessions. The project is assessed on a scale of 0 to 3 points (where 0 is assigned to completely inconsistent projects and 3 to very good/excellent projects). The project score is added to the exam grade. The project grade may be used up to the January/February 2027 examination session. The project submission deadline is 28 May 2026.

Programme

The course is organized into two complementary modules: managerial and statistical. It contributes to increase the knowledge of Total Quality Management fields and to provide tools and methodology for assuming managerial decision making in private and public organizations. Moreover, it illustrates the statistical methodologies to achieve a quality analysis. Some elements of descriptive statistics will be included (histogram, Pareto diagram, box plot). In order to use the following variables and attributes control charts, indicate the process capacity indicators and analyze the external quality.

The course is designed by developing the different aspects related to the TQM both theoretically and operationally.

Managerial module contents:

• Evolution of the quality concept and TQM principles

Core Documentation

Cappelli L., Renzi M.F., (2010), «Management della Qualità», Cedam, Padova

“Controllo statistico di qualità” di Douglas C. Montgomery. McGraw-Hill (2005)

Teachers will provide other materials we propose during the course and it will be available on the website and on the teaching platform (to be define).

Reference Bibliography

.

Type of delivery of the course

The course allows students to learn, methods and tools of quality management. It provides theoretical insights and analysis of case studies. The course awards 9 credits awarded in 60 hours, of which 40 hours will be dedicated to the managerial module and 20 to the statistical module. To promote integrated and interdisciplinary learning, the course includes both case studies and project work with the aim of: - to enable students to face managerial problems, identifying solutions; - to use statistical and managerial tools for decision making; - to deliver concrete experience useful for experimenting with the application of methods and tools to solve problems of real context. The project is organized annually with private or public bodies interested in collaborating

Attendance

.Class attendance is not mandatory, but it is recommended

Type of evaluation

The exam consists of a written test administered on the Moodle platform in a computer lab, in the form of multiple-choice questions and open-ended questions. Students who pass the written test will complete the exam with an oral examination. The overall value of the exam is 30 points. To pass the exam, students must obtain an overall score of at least 18/30 in the written test. Both attending and non-attending students may take the exam. The course includes the development of an interdisciplinary project. The project is OPTIONAL and is reserved for students who attend classes in person. The project will be launched on 13 March 2026 and will be presented orally during class sessions. The project is assessed on a scale of 0 to 3 points (where 0 is assigned to completely inconsistent projects and 3 to very good/excellent projects). The project score is added to the exam grade. The project grade may be used up to the January/February 2027 examination session. The project submission deadline is 28 May 2026.