Corso Vittorio Emanuele II, 39 - Roma 0669207671

Computer Engineering (Academic Year 2022/2023) - Programming and security

Artificial Intelligence


Credits: 9
Content language:English
Course description
Mandatory course of second year of the Master Degree in Computer Engineering.
Prerequisites

None.

Objectives
The course has the objective to describe methodologies of the artificial intelligence. In particular, will be discussed the concept of intelligent agent, knowledge representation, inference, deduction and machine learning.
Program

The course gives 9 credits and it is composed of 20 hours of video lectures. Video lectures present the following concepts:

  1. Artificial Intelligence. Introduction
  2. Intelligent Agents
  3. Searching
  4. Informed search
  5. Constraints satisfaction problems
  6. Propositional Logic
  7. First Order Logic
  8. Inference in First Order Logic
  9. Planning
  10. Planning in the real world
  11. Quantifying uncertainty
  12. Bayesian Networks
  13. Probabilistic reasoning over time
  14. Making simple decisions
  15. Complex decision making. First part
  16. Complex decision making. Second part
  17. Learning & decision trees
  18. Regression and classification. First part
  19. Regression and classification. Second part
  20. Learning with knowledge & statistical learning
Book
S. J. Russell, P. Norvig, “Artificial Intelligence. A Modern Approach.”, Pearson, Milano
T. Mitchell - "Machine Learning"
S. Haykin, “Neural Networks - A comprehensive foundation”, Prentice-Hall
Exercises
During the lectures there are several exercises to be done at home.
Professor/Tutor responsible for teaching
Giovanni Felici
Video professors
Prof. Giovanni Felici - Istituto di Analisi dei Sistemi ed Informatica “A. Ruberti” - CNR (Roma - Italia)
List of lessons
Giovanni Felici
Giovanni Felici
    •  Lesson n. 3: Searching  Go to this lesson
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    •  Lesson n. 9: Planning  Go to this lesson
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