ARTIFICIAL INTELLIGENCE
- Overview
- Assessment methods
- Learning objectives
- Contents
- Bibliography
- Delivery method
- Teaching methods
- Contacts/Info
No prerequisites required.
The exam consists of an oral examination lasting about 30 minutes; will be evaluated:
• knowledge of the topics presented during the course (70%);
• the ability to critically analyze problems related to the evolution and application of artificial intelligence (30%).
The course addresses the different types of artificial intelligence developed in the contemporary age to obtain increasingly sophisticated and involving interactions between men and machines. Moreover, the course will present the main historical dynamics, debates, current projects, ethical problems and future potential evolutions of a technological development that globally involves contemporary society.
Expected learning outcomes. Students will be able to.
• understand and describe the main aspects of the theoretical and technological bases of computer science, being aware of the limits of their application;
• understand the difference between the problems treated by traditional computer science and Artificial Intelligence;
• understand the scope and possible social impact of emerging techniques (big-data, deep-learning, Internet or Things, virtual reality);
• critically analyze social issues related to the massive application of artificial intelligence.
The following topics will be specifically analyzed:
• the theoretical bases of computer science and the main limitive results: from the first algorithms to the Turing machines, the halting-problem, the theory of complexity, P and NP;
• the technological bases of computer science: from von Neuman's model to modern computers;
• AI problems and techniques: problem-solving, knowledge representation and reasoning, neural networks and machine-learning;
• emerging technologies (big data, IoT and virtual reality) and their impact on society.
The teaching material will be made available on the e-learning platform during the course along with the slides of the lessons in format.
The teaching activities consists of 48h of class lectures.
Office hours: by appointment via email.