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 |
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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 |
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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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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.
Medical Robotics (2025/2026)
Teaching code
4S012370
Credits
6
Coordinator
Language
English
Courses Single
Authorized
The teaching is organized as follows:
Learning objectives
The course is composed of two modules: the first aims to develop skills that allow students to: discuss with healthcare professionals the potential applications of robotic systems in surgery and rehabilitation and understand the stakehllder requirements and translate them in technical specifications. The second, "Medical Robotics", aims to provide basic knowledge on the use of robotic systems in the medical field and in particular in surgery, rehabilitation and diagnostics. The main solutions in the commercial and research fields will be presented and explained from a hardware and software point of view. At the end of the course the student will have to demonstrate the ability to apply the acquired knowledge to model and analyze the properties of a robotic system for surgery, rehabilitation and diagnostics. Must possess the ability to define the technical specifications to design the control system of a robotic system for medical use and be able to work with other engineers (e.g. electronic, automatic, mechanical) to create complex electromechanical systems. S/he must show the ability to continue the studies independently in the design of control systems for medical systems.
Prerequisites and basic notions
The course requires basic knowledge of robotics and automatic control. In particular, students are expected to be familiar with robot kinematics and dynamics, state-space modeling, stability analysis, feedback control, and the mathematical modeling of dynamical systems. Good programming skills are also required, as they are essential for understanding and implementing the models, estimation algorithms, and control schemes discussed in the course.
Criteria for the composition of the final grade
The final grade is based on the assignments completed during the course and on a final report. The assignments are intended to assess the student’s progressive understanding of the main theoretical and applied topics covered in class, while the final report evaluates the student’s ability to organize, deepen, and critically discuss a topic consistent with the course contents.
