Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Study Plan
This information is intended exclusively for students already enrolled in this course.If you are a new student interested in enrolling, you can find information about the course of study on the course page:
Laurea magistrale in Management e strategia d’impresa - Enrollment from 2025/2026The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
Modules | Credits | TAF | SSD |
---|
1 MODULE BETWEEN THE FOLLOWING
2° Year activated in the A.Y. 2022/2023
Modules | Credits | TAF | SSD |
---|
1 MODULE BETWEEN THE FOLLOWING
1 MODULE BETWEEN THE FOLLOWING
1 MODULE BETWEEN THE FOLLOWING
Modules | Credits | TAF | SSD |
---|
1 MODULE BETWEEN THE FOLLOWING
Modules | Credits | TAF | SSD |
---|
1 MODULE BETWEEN THE FOLLOWING
1 MODULE BETWEEN THE FOLLOWING
1 MODULE BETWEEN THE FOLLOWING
Modules | Credits | TAF | SSD |
---|
Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Quality management (2021/2022)
Teaching code
4S008100
Teacher
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
SECS-P/13 - COMMODITY SCIENCES
Period
primo semestre (lauree magistrali) dal Oct 4, 2021 al Dec 17, 2021.
Learning outcomes
The course provides knowledge of some fundamentals concepst of quality management. The main expected results are: KNOWLEDGE: 1. know and distinguish the quality of products and services, and customer satisfaction 2. learn about quality control tools and customer satisfaction monitoring 3. know the relationship between quality and customer satisfaction,on one side, and company’s revenues and costs, on the other side; SKILLS: 4. correctly read data derived from quality control and customer satisfaction monitoring; 5. understand their relationship with costs and revenues 6. define the best quality improvement strategies for the markets of the company
Program
The first part of the program deals with the relations that links quality to cost and revenue variables, to product and service typology, and, last but not least, to customers satisfaction. The second part explores the design of products and services, quality control tools and measurement of customer satisfaction as indispensable bases for improvement policies. At the end of the course the student will have acquired the skills necessary to understand the dimensions of quality in manufacturing and service companies, and to identify the consequent policies to improve quality and customers satisfaction.
1) Defining quality;
2) Some basic categories of quality costs;
3) Quality in manufacturing and in service organizations;
4) The relationship between quality and customer satisfaction;
5) The effects of customer heterogeneity and variability;
6) Quality dimensions, quality attributes and customer behaviour;
7) The role of quality in strategy definition;
8) Design of products, processes and services;
9) Measures of customer satisfaction and instruments for quality control;
10) Policies for quality and customers satisfaction improvement.
The teaching method consists of lectures in the classroom with the use of slides. The University may introduce changes to the teaching method adopted, based on the evolution of the epidemiological situation.
Teaching materials will be made available on the elearning platform of the course.
Examination Methods
The final exam will be written as far as the epidemiological situation will permitt. Online exam will be admitted on student request and in respect of University deliberations.
The assessment will be mainly referred to the analytical skills demonstrated by the student, especially for what concerns the identification and explanation of relationships between quality management and other variables