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
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
Modules | Credits | TAF | SSD |
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Compulsory courses for Embedded & IoT Systems
Compulsory courses for Smart systems &data analytics
2° Year activated in the A.Y. 2021/2022
Modules | Credits | TAF | SSD |
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Compulsory courses for Embedded & IoT Systems
Compulsory courses for Robotics systems
Compulsory courses for Smart systems &data analytics
Modules | Credits | TAF | SSD |
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Compulsory courses for Embedded & IoT Systems
Compulsory courses for Smart systems &data analytics
Modules | Credits | TAF | SSD |
---|
Compulsory courses for Embedded & IoT Systems
Compulsory courses for Robotics systems
Compulsory courses for Smart systems &data analytics
Modules | Credits | TAF | SSD |
---|
3 courses to be chosen among the following
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.
Interazione Uomo Macchina (2020/2021)
Teaching code
4S009014
Credits
6
Language
English
The teaching is organized as follows:
Learning outcomes
The course aims to provide fundamental notions for the design and evaluation of interactive systems, with particular attention also to novel interaction paradigms particularly interesting for the Industry 4.0 framework, e..g virtual and augmented reality. The course will introduce basic concepts about usability and user experience, human factors, interaction paradigms, usability engineering and evaluation
These topics will be addressed in a peculiar way for advanced applications in the field of immersive virtual reality giving practical examples and analyzing related scenarios.
At the end of the course, the student will have to demonstrate knowledge and understanding of the basic principles of usability and be able to apply them to the design of various types of computer interfaces. He will be able to develop prototypes of virtual / mixed reality applications, considering the specificities of the interaction. He wll be able to analyze the usability and the user experience of both standard interfaces and mixed reality applications.
This knowledge will provide the student with the ability to: i) independently assess the usability problems of the systems and select the correct evaluation methods for each different task; ii) expand and deepen the technical knowledge of the various aspects of the Computer Engineering for Robotics and Smart Industry study path being able to consider the effects of human factors in the use of technology. At the end of the course, the student will also have to show that he is able to: i) usability to different application areas; ii) develop interactive 3D environments for usability analysis, training, interaction in mixed reality.