Big Data Analytics
A.Y. 2025/2026
Learning objectives
The recent years have witnessed a dramatic increase in the interest towards the analysis of texts in social sciences. This is largely due to the development of new methods that facilitate substantively important inferences about politics and society from large text collections. This course aims to provide an introductory guide to this exciting new area of research, while also offering guidelines on how to effectively use text methods for social scientific research.
Expected learning outcomes
By the end of the course students will learn how - effectively use statistical methods on texts for social scientific research; - discuss the advantages, but also the limits, of each approach. Course evaluation aims to verify the expected learning outcomes in relation to these topics.
Lesson period: First trimester
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 trimester
SPS/04 - POLITICAL SCIENCE - University credits: 6
Lessons: 40 hours
Professor:
Curini Luigi
Shifts:
Turno
Professor:
Curini LuigiProfessor(s)
Reception:
Wednesday 12:45-15:45
room 319 - via Conservatorio 7, Department of Social and Political Sciences. Plz write directly to the teacher to make an appointment