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
Queste informazioni sono destinate esclusivamente agli studenti e alle studentesse già iscritti a questo corso. Se sei un nuovo studente interessato all'immatricolazione, trovi le informazioni sul percorso di studi alla pagina del corso:
Laurea in Filosofia - Immatricolazione dal 2025/2026.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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Foreign language CB Test
OTHER ACTIVITIES
2° Year activated in the A.Y. 2022/2023
Modules | Credits | TAF | SSD |
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1 MODULE TO BE CHOSEN AMONG THE FOLLOWING
3 MODULES TO BE CHOSEN AMONG THE FOLLOWING
1 MODULE TO BE CHOSEN AMONG THE FOLLOWING
3° Year activated in the A.Y. 2023/2024
Modules | Credits | TAF | SSD |
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1 MODULE TO BE CHOSEN AMONG THE FOLLOWING
3 MODULES TO BE CHOSEN AMONG THE FOLLOWING
Modules | Credits | TAF | SSD |
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Foreign language CB Test
OTHER ACTIVITIES
Modules | Credits | TAF | SSD |
---|
1 MODULE TO BE CHOSEN AMONG THE FOLLOWING
3 MODULES TO BE CHOSEN AMONG THE FOLLOWING
1 MODULE TO BE CHOSEN AMONG THE FOLLOWING
Modules | Credits | TAF | SSD |
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1 MODULE TO BE CHOSEN AMONG THE FOLLOWING
3 MODULES TO BE CHOSEN AMONG THE FOLLOWING
Modules | Credits | TAF | SSD |
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2 MODULES TO BE CHOSEN AMONG THE FOLLOWING
3 MODULES 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.
Laboratory of Computer and Multimedia Technologies (2021/2022)
Teaching code
4S007327
Teacher
Coordinator
Credits
3
Language
Italian
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Period
Sem. 2A, Sem. 2B
Learning outcomes
Workshop on IT and multi-media
The workshop aims to provide students with an updated, rigorous and analytical framework on the professional applications of information technology and multimedia in contemporary society, with a specific focus on education and teaching, taking into account both the recent evolution of Instructional Design techniques, both of the progressive affirmation of e-learning, of the diffusion of the LIM (Multimedia Interactive Whiteboard) and of m-learning (mobile-learning). Therefore, at the end of the workshop, students must be able to list and describe on a regular basis the various information and multimedia technologies to support teaching, through the adoption of scientific terminology and the constant reference to examples, case studies and best practices (national and international), all in the perspective of communication within the job environment.
Program
The course's aim is to explore the fundamental theoretical aspects of computer science, of artificial intelligence, and of recent virtual reality technologies. Moreover, the students will be taught how to optimize the use of multimedia technologies to enhance their teaching abilities. The approach followed in the course will adapt such themes in order to make them suitable for analysis to student that come from the humanities, adopting, thus, techniques and interpretation models adequate to such students.
Specifically, the course is divided into 3 modules of 12 hours each. Each module will focus on a specific theme which is particularly interesting for an individual with a background in the humanities. Each module will have the aim of providing to the students the right tools that allow them to practically implement their previous knowledge to the topics of computer science and artificial intelligence.
Given this fact, the modules will have both an ordinary lecture part (where the students will acquire the terminology and conceptual framework typical of the theme under analysis) and a second part focused on active learning and participation (through the use of discussion groups and/or presentations by the students themselves).
The specific themes will be:
Module 1. Computing Machines and Algorithms:
The first module will be focused on the theme of Turing Machine. During the lectures, the students will understand what a Turing Machine is and how they can contribute to a better understanding of the concepts of algorithm and intelligence. The active learning phase will focus on the concept of intelligence and how different conceptions of the term can be provided.
Module 2. Ethics and Artificial Intelligence.
The second module will focus on the theme of Artificial Intelligence (AI). During the lectures, the students will understand what AI is and what role does it play in contemporary times. Particular emphasis will be placed on the ethical problems typical of AI and on possible solutions to those problems. The active learning phase will focus on the concept of autonomy in AI.
Module 3. Social Robotics and Virtual Reality.
The third and final module will focus on the topic of Social Robotics and on the concept of Virtual Reality. During the lectures, the students will learn what the possible social applications of robotics are and on the moral problems that some of those uses can generate; moreover, the module will cover reflections on the wide use of virtual reality in contemporary societies. The active learning phase will focus on the topics chosen by the students.
Examination Methods
The students will be evaluated through two distinct performances, which will equaly contribute to the final grade. The first evaluation element will be a short paper written by the student on one of the topics of the lectures. The paper has to be sent to the professor not later than 7 days prior to the examination day and the scoring of such paper will contribute 50% to the final grade. The second evaluation element will be a 20 minutes presentation (followed by 5/10 minutes of Q&A) on a topic chosen by the student. The performance during the presentation, which will be judged both on the contents and on the way those contents were delivered to the listener, will contribute to the other 50% of the final grade.