Computing for Language Studies: Cultural Analytics
A.Y. 2024/2025
Learning objectives
The course aims to provide an introduction to computing techniques for the humanities and to help students tap into the potential of linked data for humanities research.
In particular, it aims to help students develop fundamental knowledge and skills related to computer tools for information systems design, querying digital sources and visual exploratory analysis. The tools introduced in the course will be used to collect, integrate, query and present information for research in the humanities. The course is also intended to foster the development of skills related to object-oriented design, communication tools and to the ability to efficiently interact with scholars and professionals in the field of information technology.
In particular, it aims to help students develop fundamental knowledge and skills related to computer tools for information systems design, querying digital sources and visual exploratory analysis. The tools introduced in the course will be used to collect, integrate, query and present information for research in the humanities. The course is also intended to foster the development of skills related to object-oriented design, communication tools and to the ability to efficiently interact with scholars and professionals in the field of information technology.
Expected learning outcomes
Knowledge:
- Basic knowledge of information representation and related processes
- Notions of data modelling
- Notions of information architecture and semantic web
- Notions of visual data exploration
Competences:
- Conceptual design of an information system and a database
- Querying, scraping and population of databases and semantic web
- Interpretation and visual communication of data
- Basic knowledge of information representation and related processes
- Notions of data modelling
- Notions of information architecture and semantic web
- Notions of visual data exploration
Competences:
- Conceptual design of an information system and a database
- Querying, scraping and population of databases and semantic web
- Interpretation and visual communication of data
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course can be attended as a single course.
Course syllabus and organization
Single session
Responsible
Lesson period
Second semester
Professor(s)
Reception:
mondays at 14:00-15:00, or upon request
Via Giovanni Celoria 18, ISLab, lab 6019