In this class, we will explore the technologies that scholars use for humanities and social science research, delving into their history, advantages, and limitations. Additionally, we will examine the main ongoing discussions in the field of digital humanities.
The course is designed for participants with a diverse profile. It aims to provide the necessary skills for creating digital content to support research in political sciences, modern and contemporary history, economics, and textual sciences.
By the end of the course, you will have completed a digital humanities project for your personal portfolio. The project will be based on your research interests and will demonstrate the skills you have acquired. To achieve this, we will dedicate a portion of our weekly meetings to in-class exercitations and project discussions.
The course is designed for participants with a diverse profile. It aims to provide the necessary skills for creating digital content to support research in political sciences, modern and contemporary history, economics, and textual sciences.
By the end of the course, you will have completed a digital humanities project for your personal portfolio. The project will be based on your research interests and will demonstrate the skills you have acquired. To achieve this, we will dedicate a portion of our weekly meetings to in-class exercitations and project discussions.
scheda docente materiale didattico
This year’s course will focus on the origins of Artificial Intelligence and its relevance to Digital Humanities.
Please refer to the course's website: https://digitalhumanities.site
- What is Digital Humanities? Can it be defined?
- What is ‘data’?
- Data cleaning and manipulation.
- Presenting data. Data analysis.
- Data visualization: history, methods, and tools.
- Text analysis and topic modeling; possibilities and drawbacks.
- Algorithms of textual analysis.
- Infographic: A history of data graphics.
- Introduction to AI: From the first models to machine learning.
- Deep machine learning.
- An introduction to artificial neural networks.
Fruizione: 21830062 DIGITAL HUMANITIES in Relazioni internazionali LM-52 R A - Z SEBASTIANI DAVID
Programma
THE ORIGINS OF AIThis year’s course will focus on the origins of Artificial Intelligence and its relevance to Digital Humanities.
Please refer to the course's website: https://digitalhumanities.site
- What is Digital Humanities? Can it be defined?
- What is ‘data’?
- Data cleaning and manipulation.
- Presenting data. Data analysis.
- Data visualization: history, methods, and tools.
- Text analysis and topic modeling; possibilities and drawbacks.
- Algorithms of textual analysis.
- Infographic: A history of data graphics.
- Introduction to AI: From the first models to machine learning.
- Deep machine learning.
- An introduction to artificial neural networks.
Testi Adottati
The materials will be available on the course's website: https://digitalhumanities.siteModalità Erogazione
Il corso ha un formato seminariale. Ogni incontro include uno o più dei seguenti elementi: - Discussione di saggi, articoli e dei più rilevanti progetti di digital humanities. Il materiale è elencato sul syllabus del corso e deve essere letto/esaminato prima della lezione. - Lezione. Verranno introdotti i temi degli incontri successivi e analizzati gli strumenti informatici utilizzati nelle esercitazioni. - Esercitazioni in classe. In questa fase ogni partecipante inizierà ad utilizzare gli strumenti necessari alla realizzazione del proprio progetto.Modalità Frequenza
- In general, regular class attendance is important, as part of the final evaluation is based on in-class activities. - For students enrolled in "International Studies", attendance is mandatory in accordance with course regulations.Modalità Valutazione
The evaluation consists of two parts: 1) Class Participation and Midterm Test: Students are expected to engage in weekly in-class discussions and take a written midterm test, administered during the second half of the course. This component accounts for 70% of the final grade. 2) Final Examination: On one of the official exam days, students will critically discuss their final project. This will make up the remaining 30% of the final grade.