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:
Master's Degree in Computer Engineering for Intelligent Systems - 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 |
|---|
2° Year activated in the A.Y. 2025/2026
| Modules | Credits | TAF | SSD |
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3 modules among the following
(A.A. 2025/2026 Internet of medical things not activated)| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
|---|
3 modules among the following
(A.A. 2025/2026 Internet of medical things not activated)| Modules | Credits | TAF | SSD |
|---|
4 modules among the following:
- 1st year: Advanced visual computing and 3d modeling, Computer vision, Embedded & IoT systems design, Embedded operating systems, Robotics
- 2nd year: Advanced control systemsLegend | 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.
Internet of medical things (2025/2026)
Teaching code
4S012373
Credits
6
Coordinator
Language
English
Courses Single
Authorized
The teaching is organized as follows:
IoMT APPLICATIONS
Credits
2
Period
2nd semester
Academic staff
Not yet assigned
Learning objectives
The course is composed of two modules. The first, Fundamentals of Internet of Medical things provides knowledge relating to: •the main unmet diagnostic, prognostic and interventional needs (caregiving, nursing, pharmacological and non-pharmacological therapy) in neurological, neurodegenerative and geriatric pathologies, and in the neuro-rehabilitation field, with particular reference to the motor and cognitive aspects, which can be addressed through the use of wearable devices and smart devices attributable to the Internet of Medical Things (IoMT). •the analysis of the role of digital biomarkers obtained through IoMT devices in personalized medicine for diagnosis, prognosis and for monitoring pharmacological and non-pharmacological interventions. The second, IoMT applications, aims to develop skills that allow students to: •discuss with healthcare professionals the potential applications of telemedicine based on IoMT systems in the neurological, neurorehabilitative and geriatric fields •design telemedicine systems and develop remote controller applications based on IoMT devices.
Prerequisites and basic notions
Rationale for IoMT. What IoMT is successfully addressing in various clinical settings. Unmet needs in neurology, psychiatry, pain assessment, cognitive and language assessment, geriatric medicine, nursing and care, neurorehabilitation and cognitive rehabilitation, and special populations that may be a target for IoMT.
Bibliography
Criteria for the composition of the final grade
The final grade will be based on knowledge and skills related to the learning objectives.
