The course aims to provide students with a foundation of essential digital skills related to data management, scientific documentation, and the understanding of emerging technologies, particularly Artificial Intelligence. The training program is designed to enhance technical-operational capabilities while simultaneously developing a critical approach to the use of computer tools and data.
Upon completion of the Course, students will be able to:
Communication Skills and Critical Thinking
No prerequisites
The Course is held entirely online via the Microsoft Teams channels [see here for the access link]. The teaching approach is structured to foster practical learning and interaction: the activities include interactive lessons that combine a portion of theoretical explanation for introducing fundamental concepts related to data management and Artificial Intelligence, with immediate practical exercises. These exercises will allow students to apply and discuss the use of the software and platforms analyzed during the course.
The exam consists of a group discussion among students concerning the topics, concepts, and texts addressed and analyzed during the course. The exam is aimed at verifying the effective acquisition of theoretical knowledge and practical skills related to the tools and themes covered. The language of the exam is Italian, English if requested.
Programme:
The course focuses, in a first part, on the use of Office/Google suite tools, particularly Word for drafting documents (such as theses and scientific articles) and Excel for manipulating data in structured/tabular format and applying functions. In a second part, the course will focus on acquiring theoretical and practical knowledge related to data creation, management, and manipulation. Examples of knowledge representation on data to make it machine-understandable (such as domain ontologies and Wikidata) will be discussed and commented on.
Furthermore, students will gain knowledge about the main data retrieval platforms for linguistic and other technologies, such as Zenodo, European Language Grid, and GitHub, and will use statistical-linguistic software like Voyant Tools.
Finally, the course will briefly cover the history of artificial intelligence, with a focus on the learning strategies of generative AI and the ethical and social implications it is having in today's world.
Italian
