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
The 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 |
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Compulsory activities for Embedded & Iot Systems
Compulsory activities for Smart Systems & Data Analytics
2° Year activated in the A.Y. 2023/2024
Modules | Credits | TAF | SSD |
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Compulsory activities for Embedded & Iot Systems
Compulsory activities for Robotics Systems
Compulsory activities for Smart Systems & Data Analytics
Modules | Credits | TAF | SSD |
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Compulsory activities for Embedded & Iot Systems
Compulsory activities for Smart Systems & Data Analytics
Modules | Credits | TAF | SSD |
---|
Compulsory activities for Embedded & Iot Systems
Compulsory activities for Robotics Systems
Compulsory activities for Smart Systems & Data Analytics
Modules | Credits | TAF | SSD |
---|
3 modules among the following
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.
Industrial Plants and Production Management (2022/2023)
The teaching is organized as follows:
Learning objectives
The course aims to introduce the principles concerning the structure and functioning of industrial plants, the organization and management of production processes, regardless of the particular technological process. At the end of the course, the student will have acquired the main notions of organization and management of the transformation process from raw material to the finished product, system reliability, human resource management, industrial automation, production flows and layout, measurement of plant performance. He will also be able to industrialize a production process, from the feasibility study to the automation design and the performance monitoring. The student will also be able to assess the impact of strategic decisions and planning on the performance of industrial plants. In addition, the student will have the necessary knowledge to continue his studies independently in the field of industrial computer engineering.
Prerequisites and basic notions
Basic knowledge of mathematics and physics
Bibliography
Criteria for the composition of the final grade
Final Score = [Score (Industrial Plants) + Score (Production Management)]/2
Info on COVID-19 (e.g., online exams request form) can be found on:
https://www.univr.it/en/coronavirus-info-studenti
https://www.univr.it/en/info-covid-19-archivio-comunicati