Studying at the University of Verona

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.

Academic calendar

Course calendar

The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..

Definition of lesson periods
Period From To
Giornata d accoglienza matricole - Aula Magna Lente didattica Policlinico ore 9 Sep 24, 2024 Sep 24, 2024
MED ING 1° semestre Oct 2, 2024 Dec 20, 2024
MED ING 2° semestre Feb 17, 2025 May 30, 2025
Holidays
Period From To
Tutti i Santi Nov 1, 2024 Nov 1, 2024

Exam calendar

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.

Exam calendar

Should you have any doubts or questions, please check the Enrollment FAQs

Academic staff

B D F G M R S

Bertini Giuseppe

symbol email giuseppe.bertini@univr.it symbol phone-number 045-802-7682

Dando Ilaria

symbol email ilaria.dando@univr.it symbol phone-number +39 045 802 7169

Dell'Orco Daniele

symbol email daniele.dellorco@univr.it symbol phone-number +39 045 802 7637

Fabene Paolo

symbol email paolo.fabene@univr.it symbol phone-number 0458027158

Galie' Mirco

symbol email mirco.galie@univr.it symbol phone-number +39.045.8027681

Gotte Giovanni

symbol email giovanni.gotte@univr.it symbol phone-number 0458027694

Mariotti Raffaella

symbol email raffaella.mariotti@univr.it symbol phone-number 0458027164

Mariotto Sofia Giovanna

symbol email sofia.mariotto@univr.it symbol phone-number 0458027167

Ruggiero Alessandra

symbol email alessandra.ruggiero@univr.it symbol phone-number 045 8027208/7675

Scupoli Maria

symbol email mariateresa.scupoli@univr.it symbol phone-number 045-8027405 045-8128425

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.

2° Year  It will be activated in the A.Y. 2025/2026

ModulesCreditsTAFSSD
9
A/F
- ,BIO/16
6
A/F
- ,BIO/13 ,MED/03
6
B
MED/04
8
B
MED/02 ,MED/42 ,M-PSI/08 ,SPS/07

3° Year  It will be activated in the A.Y. 2026/2027

ModulesCreditsTAFSSD
8
A/F
- ,BIO/09 ,M-PSI/01
4
B/F
- ,BIO/12
11
B/F
- ,MED/09 ,MED/18
17
B/F
- ,MED/04 ,MED/09

4° Year  It will be activated in the A.Y. 2027/2028

ModulesCreditsTAFSSD
5
A/B
ING-INF/05 ,MED/08
23
B/F
- ,MED/08 ,MED/12 ,MED/15 ,MED/16 ,MED/17 ,MED/35
19
B/F
- ,MED/08 ,MED/10 ,MED/11 ,MED/13 ,MED/14 ,MED/21 ,MED/22 ,MED/23

5° Year  It will be activated in the A.Y. 2028/2029

ModulesCreditsTAFSSD
6
B
MED/06 ,MED/18
8
B/F
- ,MED/36
13
A/B/F
- ,MED/03 ,MED/09
7
B/F
- ,MED/26 ,MED/27 ,MED/34
6
B/F
- ,MED/25
9
A/B
ING-INF/05 ,MED/09 ,MED/26 ,MED/34
6
B
MED/43 ,MED/44

6° Year  It will be activated in the A.Y. 2029/2030

ModulesCreditsTAFSSD
14
B/C/F
- ,ING-INF/04 ,MED/18 ,MED/24 ,MED/33
9
B/F
- ,MED/02 ,MED/09 ,MED/18 ,MED/41
9
B/F
- ,MED/20 ,MED/38 ,MED/39
Final exam
15
E
-
It will be activated in the A.Y. 2025/2026
ModulesCreditsTAFSSD
9
A/F
- ,BIO/16
6
A/F
- ,BIO/13 ,MED/03
6
B
MED/04
8
B
MED/02 ,MED/42 ,M-PSI/08 ,SPS/07
It will be activated in the A.Y. 2026/2027
ModulesCreditsTAFSSD
8
A/F
- ,BIO/09 ,M-PSI/01
4
B/F
- ,BIO/12
11
B/F
- ,MED/09 ,MED/18
17
B/F
- ,MED/04 ,MED/09
It will be activated in the A.Y. 2027/2028
ModulesCreditsTAFSSD
5
A/B
ING-INF/05 ,MED/08
23
B/F
- ,MED/08 ,MED/12 ,MED/15 ,MED/16 ,MED/17 ,MED/35
19
B/F
- ,MED/08 ,MED/10 ,MED/11 ,MED/13 ,MED/14 ,MED/21 ,MED/22 ,MED/23
It will be activated in the A.Y. 2028/2029
ModulesCreditsTAFSSD
6
B
MED/06 ,MED/18
8
B/F
- ,MED/36
13
A/B/F
- ,MED/03 ,MED/09
7
B/F
- ,MED/26 ,MED/27 ,MED/34
6
B/F
- ,MED/25
9
A/B
ING-INF/05 ,MED/09 ,MED/26 ,MED/34
6
B
MED/43 ,MED/44
It will be activated in the A.Y. 2029/2030
ModulesCreditsTAFSSD
14
B/C/F
- ,ING-INF/04 ,MED/18 ,MED/24 ,MED/33
9
B/F
- ,MED/02 ,MED/09 ,MED/18 ,MED/41
9
B/F
- ,MED/20 ,MED/38 ,MED/39
Final exam
15
E
-

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.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S012595

Credits

9

Scientific Disciplinary Sector (SSD)

 - 

Learning objectives

The teaching aims to provide the fundamental notions for making use of solutions for patient remote monitoring and coaching using devices and systems based on the modern paradigm of the Internet of Medical Things.
Relying on electronics and artificial intelligence notions, this course will provide the student with knowledge and skills for the use of networks of environmental and wearable sensors for diagnosis (even early in the prodromal phase of the disease), treatment, monitoring, coaching, and rehabilitation of patients with acute and chronic pathologies, mainly attributable to the neurological, neurodegenerative, neurorehabilitative and geriatric fields, with the most advanced diagnostic techniques, with or without the aid of artificial intelligence and machine learning techniques.
The practical internship will allow the student to carry out practical experiences using environmental and wearable sensor networks in the main application scenarios (including early diagnosis, monitoring, coaching, and rehabilitation).

Examination Methods

The learning assessment includes a practical test which consists of the creation and subsequent oral presentation of a system for the remote monitoring and control of a patient using a network of sensors.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Evaluation criteria

Knowledge and understanding: At the end of the course, the student will have to demonstrate knowledge and understanding relating to the functioning and characteristics of devices and applications based on the Internet of Medical Things paradigm. Ability to apply knowledge and understanding: The student will have to demonstrate: - to know how to define the medical requirements for the design of a remote patient control and monitoring system based on sensor networks, - to know how to design and use telemedicine applications based on IoMT systems in the neurological, neurodegenerative, neurorehabilitative, and geriatric fields, - to be able to collaborate with technology experts (e.g., computer, automation, mechanical engineers) to define the specifications of new applications based on IoMT.

Free choice courses

Modules not yet included

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: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and also via the Univr app.