Learning objectives
he course aims to introduce the concept of Artificial Intelligence and the main techniques used today to create intelligent systems.
Prerequisites
No propedeutic courses.
Course unit content
Introduction and possible definitions of Artificial Intelligence.
Turing test.
Two different approaches: weak AI vs strong AI.
Artificial Intelligence today: symbolic AI vs subsymbolic AI. (Machine Learning). Elements of predictive algorithms.
Full programme
Introduction and possible definitions of Artificial Intelligence. (1 hour)
Turing test.
Two different approaches: weak AI vs strong AI.
(1 hour)
Artificial Intelligence today: symbolic AI vs subsymbolic AI. (Machine Learning). Outline of predictive algorithms. (1 hour)
Bibliography
Course notes.
Stuart Russel, Peter Norvig, Artificial Intelligence: A Modern Approach, Global Edition - Pearson - 2016
Teaching methods
Lectures.
Assessment methods and criteria
Oral exam on the topics covered in class.
Other information
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2030 agenda goals for sustainable development
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