Machine Learning for Social and Human Sciences

Language/Linguistics/Culture 5.0 ECTS 2nd Cycle Studies - Mestrado

Year
1

Academic year
2026-2027

Code
02050801

Subject Area
Language/Linguistics/Culture

Language of Instruction
Portuguese

Mode of Delivery
Face-to-face

Duration
SEMESTRIAL

ECTS Credits
5.0

Type
Elective

Level
2nd Cycle Studies - Mestrado

Recommended Prerequisites

Teaching Methods

The classes will take place in the classroom. Expositive component, as well as analysis and discussion of texts and materials previously provided, some of which will be presented by the students.

Learning Outcomes

At the end of the course students will be able to understand and discuss the principles of machine learning, particularly applied to the research and applications in the area of the Social Sciences and the Humanities, and to the automatic analysis of texts with literary and cultural content. They will be able to analyze a problem, and to design and implement a solution. They will be familiar with the most important techniques in the field of supervised and unsupervised machine learning, and will be able to use them to build machine learning systems by using the Python programming language.

Work Placement(s)

Syllabus

Machine learning;
Automatic analysis of texts;
Python programming.

Assessment Methods

Assessment
The assessment criteria is defined by the University of Pavia: 100.0%