Biological and Artificial Intelligent Systems
A.Y. 2020/2021
Learning objectives
The course aims to provide students with the basics of Artificial Intelligence with an interdisciplinary approach to the scientific and philosophical research, supported by practical activities.
Expected learning outcomes
Knowledge and understanding
At the end of the course the student
- knows the fundamental elements of Artificial Intelligence and can understand the frontiers
- knows the fundamental methods and how use software platforms to develop some machine learning algorithms
- understands and can discuss about philosophical and technological issues
Ability to apply knowledge and understanding
- can apply the acquired knowledge to the development of fundamental algorithms
- can discuss about Artificial Intelligence and the related philosophical problems
- can interpret Artificial Intelligence methods by relating them to their processing contexts and their respective functions
- can apply the acquired knowledge to concepts of different interdisciplinary nature.
At the end of the course the student
- knows the fundamental elements of Artificial Intelligence and can understand the frontiers
- knows the fundamental methods and how use software platforms to develop some machine learning algorithms
- understands and can discuss about philosophical and technological issues
Ability to apply knowledge and understanding
- can apply the acquired knowledge to the development of fundamental algorithms
- can discuss about Artificial Intelligence and the related philosophical problems
- can interpret Artificial Intelligence methods by relating them to their processing contexts and their respective functions
- can apply the acquired knowledge to concepts of different interdisciplinary nature.
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
Modules or teaching units
Unita' didattica A
INF/01 - INFORMATICS - University credits: 3
Lessons: 20 hours
Unita' didattica B
INF/01 - INFORMATICS - University credits: 3
Lessons: 20 hours
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)