Methodologies of Digital Humanities
A.Y. 2025/2026
Learning objectives
- Provide students with an in-depth understanding of IT methodologies applied to the humanities.
- Develop practical skills in the use of programming languages and IT tools relevant to the analysis of humanistic data.
- Promote students' ability to apply IT concepts in their disciplines of study.
- Encourage collaboration between students to develop application projects that integrate IT methodologies and humanistic disciplines.
- Develop practical skills in the use of programming languages and IT tools relevant to the analysis of humanistic data.
- Promote students' ability to apply IT concepts in their disciplines of study.
- Encourage collaboration between students to develop application projects that integrate IT methodologies and humanistic disciplines.
Expected learning outcomes
At the end of the course, students will be able to:
- Apply fundamental IT concepts to the humanities;
- Use programming languages for the analysis and management of humanistic data;
- Implement textual and linguistic analysis tools in their research projects;
- Design and manage databases to support humanities research;
- Effectively present analysis results through data visualization tools;
- Collaborate with colleagues in the development of projects that integrate IT methodologies and humanistic disciplines.
- Apply fundamental IT concepts to the humanities;
- Use programming languages for the analysis and management of humanistic data;
- Implement textual and linguistic analysis tools in their research projects;
- Design and manage databases to support humanities research;
- Effectively present analysis results through data visualization tools;
- Collaborate with colleagues in the development of projects that integrate IT methodologies and humanistic disciplines.
Lesson period: First semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
First semester
Course syllabus
The syllabus is shared with the following courses:
- [C21-969](https://www.unimi.it/en/ugov/of/af2026000c21-969)
- [C21-969](https://www.unimi.it/en/ugov/of/af2026000c21-969)
Part A and B
INF/01 - INFORMATICS - University credits: 6
Lessons: 40 hours
Part C
INF/01 - INFORMATICS - University credits: 3
Lessons: 20 hours
Professor(s)
Reception:
On appointment. The meeting will be online by first contacting the professor by email.
Online. In case of a meeting in person, Department of Computer Science, via Celoria 18 Milano, Room 7012 (7 floor)