Artificial Intelligence
A.Y. 2024/2025
Learning objectives
The courses included in the sector INF / 01 - Informatics aim to introduce the learners to the application of philosophical theories to technological IT fields according to the modern experimental approach.
In this context, the objective of the Artificial Intelligence course is the application of philosophical tools to empirical research in this IT field, through the illustration of concrete problems that can be tackled thanks to the acquired philosophical information and IT methodologies.
In this context, the objective of the Artificial Intelligence course is the application of philosophical tools to empirical research in this IT field, through the illustration of concrete problems that can be tackled thanks to the acquired philosophical information and IT methodologies.
Expected learning outcomes
a. Knowledge and understanding
At the end of the Artificial Intelligence course, students will have acquired a high understanding of problems, and of discussion and comparison between the different theoretical perspectives in the disciplinary field, in light of the philosophical theories acquired in their studies.
b. Ability to apply knowledge and understanding
At the end of the course, students will be able to design IT solutions related to theoretical and practical problems, combining Artificial Intelligence methodologies and philosophical theories, having also gained communication skills of what has been learned.
At the end of the Artificial Intelligence course, students will have acquired a high understanding of problems, and of discussion and comparison between the different theoretical perspectives in the disciplinary field, in light of the philosophical theories acquired in their studies.
b. Ability to apply knowledge and understanding
At the end of the course, students will be able to design IT solutions related to theoretical and practical problems, combining Artificial Intelligence methodologies and philosophical theories, having also gained communication skills of what has been learned.
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
Professor(s)
Reception:
Wednesday 11 am, also via Skype or Teams (contact me via e-mail)
Via Teams, Skype or in Via Festa del Perdono 7, Dipartimento di Filosofia, cortile Ghiacciaia, secondo piano (please, take an appointment via e-mail)