| Code |
A005285 |
| CFU |
6 |
| Teacher |
Paolo Carbone |
| Teachers |
|
| Hours |
|
| Learning activities |
Affine/integrativa |
| Area |
Attività formative affini o integrative |
| Academic discipline |
ING-INF/07 |
| Type of study-unit |
Obbligatorio (Required) |
| Language of instruction |
Italian |
| Contents |
Training Unit: Module 1 - Models for quality management (10 hours) The concept of “quality.” The historical evolution of quality. Inspection-based, control-based, quality system models. The ISO 9000 family of standards and its evolution. Management by processes. The company-wide quality control. Continuous improvement. The measurement of quality: Quality awards and benchmarking. Accreditation and certification in Italy and Europe. Quality function deployment, concurrent design. Learning Unit: Module 2 - Quality Management Methods (32 hours) Introduction to descriptive and inferential statistics. Statistical process control: statistical hypothesis testing, control charts for attributes and variables, design of experiments. The 6-sigma approach. The management of measurement instrumentation. Theoretical foundations for prediction and estimation of key reliability parameters. |
| Reference texts |
- Handouts by the instructor - L. Bonechi, G. Carmignani, R. Mirandola, Quality management in organizations - from compliance to management excellence, PLUS Editions, 2004 - D. C. Montgomery, Introduction to Statistical Quality Control, Wiley, 2019. - J. Evans, Managing for Quality and Performance Excellence,12th edition, Cengage. |
| Educational objectives |
The teaching aims to provide the knowledge to - set up the different management models for quality with regard to management-organizational aspects; - know how to apply the main statistical techniques for process quality control. |
| Prerequisites |
none |
| Teaching methods |
Lectures, use of software to simulate application cases, conducting examination exercises, seminars and company testimonials. |
| Learning verification modality |
The test consists of a written test (2 exercises and closed-ended questions with 4 possible answers of which only one is correct and with penalty for wrong answers) and an optional oral test. The written test is graded in thirtieths: the two exercises are both graded in tenths and the 10 closed-ended questions are worth 10 points. The exercises involve the application of statistical techniques presented in the classroom. For information on support services for students with disabilities and/or DSA, visit http://www.unipg.it/disabilita-e-dsa- |
| Extended program |
The concept of “quality”. The historical evolution of quality. The inspection-based, control-based, quality system models. The ISO 9000 family of standards and its evolution. Management by processes. The company-wide quality control. The measurement of quality: Quality awards and benchmarking. The Toyota Production System and the seven tools for quality. Lean production. Accreditation and certification in Italy and Europe. Quality function deployment, concurrent design. Introduction to descriptive statistics (scatter plot, histogram, and inferential. Statistical process control: statistical hypothesis testing (t-test, paired t-test, anova, chi square, probability plot), control charts by attributes and by variables, design of experiments. Linear regression. Available software tools. The 6-sigma approach. Process capability. Management of measurement instrumentation: fundamentals of metrology: applicable standards, calibration and calculation of measurement uncertainty according to normative approaches. Reliability: applicable standards. Process and product reliability. Prediction of reliability. Estimation of key reliability parameters. |
| Obiettivi Agenda 2030 per lo sviluppo sostenibile |
4-Quality education, 9-Enterprise, innovation and infrastructure. |
| Code |
GP003073 |
| CFU |
5 |
| Teacher |
Massimo Giulietti |
| Teachers |
|
| Hours |
- 35 ore - Massimo Giulietti
|
| Learning activities |
Base |
| Area |
Discipline matematiche, fisiche, informatiche e statistiche |
| Academic discipline |
MAT/03 |
| Type of study-unit |
Obbligatorio (Required) |
| Language of instruction |
Italian |
| Contents |
Real functions of a real variable. Vector spaces in basic sciences. Notable examples. Polynomials as vector spaces. Recalls of analytical geometry. The concept of linearity. An algorithmic approach to classic problems in algebra, linear algebra, and mathematical analysis. Basic notions of computer science and coding. Presentation of software tools for linear algebra and data analysis. |
| Reference texts |
“Matematica per le scienze della vita“ Dario Benedetto, Mirko Degli Esposti, Carlotta Maffei, Zanichelli “Moduli di Matematica e Statistica“ S. Invernizzi, M. Rinaldi, F. Comoglio. Zanichelli. “Matematica e Statistica. Le basi per le scienze della vita” by Marco Abate, McGraw-Hill. |
| Educational objectives |
The main goal of the course is to provide both the foundations of the language of linear algebra and mathematical analysis, and methods for solving some simple problems, from an operational perspective that also involves the use of computing tools. The main knowledge acquired will concern basic notions of linear algebra related to vector spaces and linear applications, mathematical analysis focused on the study of functions, and algorithmic methods to solve classical mathematical problems. Main skills developed include: Ability to describe simple issues related to basic sciences using the language of mathematics, particularly linear algebra and analysis; Ability to solve, also with the help of a computer, simple numerical problems related to linear systems, polynomial equations, and analytical geometry. |
| Prerequisites |
A solid understanding of the mathematics topics taught in upper secondary school. |
| Teaching methods |
Lectures (in person or online) covering all course topics. About half of each lesson is dedicated to problem-solving and exercises |
| Learning verification modality |
Written test (or two midterms) and a final oral exam, which may be limited to discussing the written test. The written test involves solving four open-ended problems and lasts 2 hours. It aims to verify problem-solving skills and correct management of acquired knowledge. The oral exam lasts about 20 minutes and aims to verify the student’s level of understanding and ability to explain and link studied topics. Upon request, the exam can also be taken in English. For information on support services for students with disabilities and/or learning difficulties (DSA), visit: http://www.unipg.it/disabilita-e-dsa |
| Extended program |
Set theory. Rational, irrational, logarithmic, and exponential equations and inequalities. Trigonometry, trigonometric equations and inequalities. Systems of equations and inequalities. Definition of functions, domain, codomain, and properties (injectivity, surjectivity, bijectivity, monotonicity), and inverse functions. Overview and graphs of the main functions. Combinatorics and discrete probability. Matrices. Determinants. Linear systems of equations. Matrix definitions and operations. Determinants: definition and properties. Laplace’s rule. Binet’s theorem. Invertible matrices. Matrix rank. Rouché–Capelli theorem. Cramer’s rule. Geometric vectors: definition and operations. Scalar multiplication. Analytical geometry in the plane: orthogonal Cartesian coordinate system, coordinates, line through two points, Cartesian and parametric equations of a line, relative positions of two lines, angle between lines, line bundles, point-to-point and point-to-line distances, circumference. Basic computer science and coding concepts. Presentation of software tools for linear algebra and data analysis. Solving linear algebra problems using the MAGMA computer algebra system and Excel. |
| Obiettivi Agenda 2030 per lo sviluppo sostenibile |
4 |
