58157 - Computer Skills

Learning outcomes

At the end of the course, the student possesses fundamental computer skills regarding computer configuration, networking, and the main application software.

Course contents

The course is structured in a series of 10 lectures, for a total of 30 hours. The lecture topics are:

• Digital Humanities: definition and field of study of Digital Humanities; applications of Digital Humanities in the cultural heritage sector.

• Computational Thinking: computers; principles of computational thinking.

• Information Representation: definition and mechanisms of digitization; coding; metadata.

• Internet and World Wide Web: introduction to the Internet and the World Wide Web; hypertext; principles and technologies underlying the Internet and the World Wide Web (client, server, URL, HTTP, HTML).

• Digital Literacy: introduction to digital literacy; misinformation and information retrieval; privacy; persuasive design.

• Artificial Intelligence: introduction to AI literacy; understanding and critical use of tools based on artificial intelligence.

Readings/Bibliography

Lecture notes, bibliography, and any other additional materials will be made available to students on the institutional platform Virtuale and in the course's GitHub repository. Specifically, the bibliography consists of texts and web resources suggested for preparation before, during, and after lessons.

Attending students::

• Peroni, S., & Gangemi, A. (2018). Informatica di Base. https://github.com/basic-inf/2024-2025

• Anselmi, G. M. (2021). Le attese di nuovi saperi: le Digital humanities a una svolta. DNA–Di Nulla Academia, 2(1), 15-24. https://dnacamporesi.unibo.it/article/download/13766/13342

• Lodi, M., Martini, S., & Nardelli, E. (2017). Abbiamo davvero bisogno del pensiero computazionale?. Mondo digitale, (72), 1-15. https://inria.hal.science/hal-01656340v1

Non-attending students:

• Texts for attending students

• Nardelli, E. (2017). Informatica nella scuola: disciplina fondamentale e trasversale, ovvero “di cosa parliamo quando parliamo di pensiero computazionale”. Scienze e Ricerche Magazine, 47, 36-40.

• Benvenuti, N. (2003). [http://bollettino.aib.it/article/view/5032] . Bollettino AIB (1992-2011), 43(3), 331-350.

• Midoro, V. (2007). Quale alfabetizzazione per la società della conoscenza?. Italian Journal of Educational Technology, 15(2), 47-47. http://ijet.itd.cnr.it/index.php/td/article/download/370/303

• Testoni, L. (2024). ChatGPT come rischio o opportunità? Le lenti dell’Information Literacy per comprendere e usare criticamente l’Intelligenza Artificiale Generativa. Un report dell’Unesco. Vedianche, 34(1), 40-46. https://riviste.aib.it/index.php/vedianche/article/view/14073

Teaching methods

Students can attend a tutoring program consisting of 30 lecture hours. Through the Virtuale platform and the GitHub repository, traditional blended-learning opportunities enabled by digital tools will be used, such as the open sharing of freely available texts and other learning resource

Assessment methods

Eligibility will be assessed through a multiple-choice test, held in the classroom, covering the various topics in the program. The student will have 60 minutes to complete the test, after which the result will be provided. There will be 30 questions, both theoretical and reasoning-based. Eligibility is achieved by obtaining 18 points (one point for each correct answer).

Teaching tools

Teaching materials in the form of slides and lecture recordings will be made available on the course web page.

Office hours

See the website of Alessandro Iannucci