78778 - Intelligent Systems M

Academic Year 2023/2024

  • Docente: Michela Milano
  • Credits: 8
  • SSD: ING-INF/05
  • Language: English
  • Moduli: Michela Milano (Modulo 1) Allegra De Filippo (Modulo 2)
  • Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
  • Campus: Bologna
  • Corso: Second cycle degree programme (LM) in Computer Engineering (cod. 5826)

Learning outcomes

At the end of the course the students are able to use the main AI techniques to develop tools for solving real life applications. The students are able to understand and apply a wide range of techniques such as constraint programming, symbolic and sub-symbolic machine learning techniques, planning and swarm intelligence.

Course contents

Module 1:


  • Non-linear planning
  • Conditional planning
  • Graph-based planning
  • Planning for robotics


  • Constraint Programming and Global constraints
  • Search strategies
  • Applications


Module 2:


  • Ant colony
  • Bee Colony
  • Particle Swarm Optimization

MACHINE LEARNING (symbolic and sub-symbolic approaches)

  • Decision trees - random forests
  • Neural networks
  • Bayesian approaches
  • Inductive logic programming




E. Rich, K. Knight: "Intelligenza Artificiale", McGraw Hill, Seconda Edizione 1992.

E. Charniak, D. McDermott, "Introduzione all'Intelligenza Artificiale", Masson, 1988.

M.Ginsberg: "Essentials of Artificial Intelligence", Morgan Kaufman,1993.

P. H. Winston: "Artificial Intelligence: Third Edition", Addison-Wesley, 1992.

Teaching methods

Lectures and laboratory exercises

Assessment methods

Written exam

Teaching tools


lab exercises

Office hours

See the website of Michela Milano

See the website of Allegra De Filippo