Artificial Intelligence & Machine Learning

The AI&ML course consists of 2 modules: AI (6CFU) tought by Prof. De Giacomo and ML (3CFU) tought by Prof. Patrizi.

The AI&ML lectures will be held in San Pietro in Vincoli accroding to the following schedule: Monday 8:00-10:00 in Room 41 (De Giacomo), Wednesday 8:00-12:00 in Room 38 (De Giacomo + Patrizi), Friday 8:00-10:00 in Room 41 (Patrizi).

Lectures will start on Monday Feb. 21, 2022, 8:00-10:00.

From now on, in this page you'll find all required information. Enjoy the course!

Please do not forget to register to the course forum. Communication will happen through the forum.

Prerequisites. Students taking this course should have knowledge of object oriented analysis, modeling and design, relational databases, and basic notions on probabilities, as acquired in previous courses.

Objectives. The objective of the course is to introduce the basics of Artificial Intelligence and Machine Learning. The course will focus on transferring knowledge and capability to the "machine" (the intelligent agent) so as to make it able to understand the world and aswer questions about it, as well as to act on it, to accomplish desired tasks. The course will present the basic techniques developed in the field of Artificial Intelligence, concerning modeling the world and exploiting the model for reasoning and planning, focusing on discrete models. It will also present the basic concepts and techniques concerning Machine Learning for learning from real world data or from simulations, how to answer and how to act on them.

Teaching material. [1] Course slides 2021/2022 and additional readings available in this page. [2] Artificial Intelligence: A Modern Approach, Global Edition, 4th Edition by Stuart Russell, Peter Norvig, Pearson 2020 (selected chapters).