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

A.A. 2023/2024 A.A. 2022/2023 A.A. 2021/2022 A.A. 2020/2021

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

ModulesCreditsTAFSSD
9
B
ING-INF/05
9
B
ING-INF/04
9
C
ING-IND/13 ,ING-IND/35
9
B
ING-INF/05
Compulsory activities for Smart Systems & Data Analytics
6
B
INF/01 ,ING-INF/06
6
B
ING-INF/05
Compulsory activities for Robotics Systems
6
B
INF/01
6
B
ING-INF/05
Compulsory activities for Embedded & Iot Systems
6
B/C
ING-INF/05
6
B/C
ING-INF/05

2° Year  activated in the A.Y. 2024/2025

ModulesCreditsTAFSSD
Compulsory activities for Embedded & Iot Systems
6
B/C
INF/01
6
B/C
ING-INF/05
Compulsory activities for Robotics Systems
6
B/C
ING-INF/04
6
B/C
ING-INF/05
Compulsory activities for Smart Systems & Data Analytics
6
B/C
ING-INF/05
6
B/C
ING-INF/05
Final exam
24
E
-
ModulesCreditsTAFSSD
9
B
ING-INF/05
9
B
ING-INF/04
9
C
ING-IND/13 ,ING-IND/35
9
B
ING-INF/05
Compulsory activities for Smart Systems & Data Analytics
6
B
INF/01 ,ING-INF/06
6
B
ING-INF/05
Compulsory activities for Robotics Systems
6
B
INF/01
6
B
ING-INF/05
Compulsory activities for Embedded & Iot Systems
6
B/C
ING-INF/05
6
B/C
ING-INF/05
activated in the A.Y. 2024/2025
ModulesCreditsTAFSSD
Compulsory activities for Embedded & Iot Systems
6
B/C
INF/01
6
B/C
ING-INF/05
Compulsory activities for Robotics Systems
6
B/C
ING-INF/04
6
B/C
ING-INF/05
Compulsory activities for Smart Systems & Data Analytics
6
B/C
ING-INF/05
6
B/C
ING-INF/05
Final exam
24
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
3
F
-
Between the years: 1°- 2°
3 modules among the following (Computer vision and Human computer interaction 1st year only; Advanced computer architectures 2nd year only; the other courses both 1st and 2nd year. A.A. 2024/2025: Data visualization, Systems design laboratory and Electronic devices and sensors are not activated)
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
ING-INF/01
6
C
INF/01 ,ING-INF/06
6
C
INF/01
6
C
ING-IND/16
6
C
INF/01
6
C
INF/01 ,ING-INF/06
6
C
INF/01
6
C
INF/01
6
C
SECS-P/10
Between the years: 1°- 2°
12
D
-
Between the years: 1°- 2°
Further activities. International students (ie students who do not have an Italian bachelor’s degree) must compulsorily gain 3 credits of Italian language skills
3
F
-

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.

A Basic activities
B Characterizing activities
C Related or complementary activities
D Activities to be chosen by the student
E Final examination
F Other training activities
S Placements in companies, public or private institutions and professional associations

Industrial Plants and Production Management (2023/2024)

Teaching code

4S009015

Credits

9

Coordinator

Sara Toniolo

Language

English en

Courses Single

Authorized

MoodleMoodle Seminars 0

The teaching is organized as follows:

Industrial Plants en

Credits

5

Period

Semester 2

Academic staff

Teresa Sinico

Lessons timetable
PRODUCTION MANAGEMENT en

Credits

4

Period

Semester 2

Academic staff

Sara Toniolo

Lessons timetable

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

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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