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.
Academic calendar
The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
| Period | From | To |
|---|---|---|
| I semestre | Oct 1, 2018 | Jan 31, 2019 |
| II semestre | Mar 4, 2019 | Jun 14, 2019 |
| Session | From | To |
|---|---|---|
| Sessione invernale d'esame | Feb 1, 2019 | Feb 28, 2019 |
| Sessione estiva d'esame | Jun 17, 2019 | Jul 31, 2019 |
| Sessione autunnale d'esame | Sep 2, 2019 | Sep 30, 2019 |
| Session | From | To |
|---|---|---|
| Sessione Estiva | Jul 17, 2019 | Jul 17, 2019 |
| Sessione Autunnale | Nov 20, 2019 | Nov 20, 2019 |
| Sessione Invernale | Mar 17, 2020 | Mar 17, 2020 |
| Period | From | To |
|---|---|---|
| Sospensione attività didattica | Nov 2, 2018 | Nov 3, 2018 |
| Vacanze di Natale | Dec 24, 2018 | Jan 6, 2019 |
| Vacanze di Pasqua | Apr 19, 2019 | Apr 28, 2019 |
| Festa del Santo Patrono | May 21, 2019 | May 21, 2019 |
| Vacanze estive | Aug 5, 2019 | Aug 18, 2019 |
Exam calendar
Exam dates and rounds are managed by the relevant Science and Engineering Teaching and Student Services Unit.
To view all the exam sessions available, please use the Exam dashboard on ESSE3.
If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.
Should you have any doubts or questions, please check the Enrolment FAQs
Academic staff
045 802 7823
mariacaterina.baruffi@univr.it
maurizio.boscaini@univr.it
rossana.capuani@univr.it
vittoria.cozza@univr.it
chiara.nardon@univr.it
claudio.tomazzoli@univr.it
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 enrolment year.
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
1° Year
| Modules | Credits | TAF | SSD |
|---|
2° Year activated in the A.Y. 2019/2020
| Modules | Credits | TAF | SSD |
|---|
3° Year activated in the A.Y. 2020/2021
| 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.
Type D and Type F activities
Modules not yet included
Matlab-Simulink programming (2020/2021)
Teaching code
4S007126
Teacher
Coordinatore
Credits
2
Also offered in courses:
- Matlab-Simulink programming of the course Bachelor's degree in Computer Science
- Matlab-Simulink programming of the course Master's degree in Computer Science and Engineering
- Matlab-Simulink programming of the course Master's degree in Medical Bioinformatics
- Matlab-Simulink programming of the course Master's degree in Computer Engineering for Robotics and Smart Industry
Language
Italian
Scientific Disciplinary Sector (SSD)
NN - -
Period
I semestre dal Oct 1, 2020 al Jan 29, 2021.
Learning outcomes
Acquisition of adequate skills for programming in the MATLAB environment.
Use of specific tools for solving some problems of the 'Systems' course: block diagrams, transfer functions, Bode plots, Laplace transform.
Create and edit models in Simulink and simulate dynamic systems. Configure solver options to improve simulation accuracy and speed.
Various functions, toolboxes and 'Apps' environment. Convolutional Neural Networks in Matlab.
Program
1. Vectors and Matrices in MATLAB
2. MATLAB Programming
3. Loop Statements and Vectorizing Code
4. More Advanced MATLAB Programs
5. String Manipulation
6. Data Structures: Cell Arrays and Structures
7. Introduction to image processing
8. Dynamic systems with Simulink
9. 'Apps' environment. Convolutional Neural Networks for image classification.
Schedule:
14 April 2021 1:40-4:10 PM
20 April 2021 1:40-4:10 PM
27 April 2021 1:40-4:10 PM
5 May 2021 1:40-4:10 PM
12 May 2021 1:40-4:10 PM
19 May 2021 1:40-4:10 PM
26 May 2021 1:40-4:10 PM
2 June 2021 1:40-4:10 PM
| Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|
| Dalle lezioni | Appunti dalle lezioni | 2021 | |||
| Stormy Attaway | Matlab: A Practical Introduction to Programming and Problem Solving (Edizione 3) | Elsevier | 2013 | 978-0-12-405876-7 |
Examination Methods
The final exam consists of a written quiz.
The students may ask for a small project that substitutes the written exam.
Career prospects
Module/Programme news
News for students
There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details.
Further services
I servizi e le attività di orientamento sono pensati per fornire alle future matricole gli strumenti e le informazioni che consentano loro di compiere una scelta consapevole del corso di studi universitario.
Graduation
List of theses and work experience proposals
| Stage | Research area |
|---|---|
| Correlated mutations | Various topics |
Attendance
As stated in the Teaching Regulations for the A.Y. 2022/2023, attendance at the course of study is not mandatory.
Please refer to the Crisis Unit's latest updates for the mode of teaching.
