Data and Natural Language Technologies

A.Y. 2024/2025
6
Max ECTS
40
Overall hours
SSD
INF/01
Language
Italian
Learning objectives
- Provide students with in-depth knowledge of data and NLP technologies.
- Develop advanced skills in the use of tools and frameworks for data analysis
- Deepen students' understanding of natural language processing principles and its applications.
- Train students in designing and implementing machine learning-based solutions.
- Enable students to design and implement study and research activities based on data and language analysis methods.
Expected learning outcomes
Upon completion of the course, students should be able to
- Apply advanced concepts of data technologies in practical contexts;
- Use NLP models to analyze natural language and solve specific problems;
- Apply advanced machine learning techniques in various application contexts;
- Successfully complete complex application projects that integrate data and NLP technologies.
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

Lesson period
Second semester
INF/01 - INFORMATICS - University credits: 6
Lessons: 40 hours