Intelligent Systems Engineering 2025/2026

struttura del corso
corsi componenti
Course_icon.svg Ingegneria dei sistemi intelligenti (modulo 1) (laurea magistrale, 2025/2026) — Andrea Omicini
Course_icon.svg Ingegneria dei sistemi intelligenti (modulo 2) (laurea magistrale, 2025/2026) — Giovanni Ciatto
pagine
forum
conoscenze e abilità da conseguire

At the end of the course, students get acquainted with the fundamental issues of intelligent systems, the most relevant computational models and technologies, and the most effective methods. In particular, students become familiar with the fittest solutions, languages, technologies, architectures, and methodologies to design intelligent systems, and are capable of:

  • devising the problems requiring artificial intelligence techniques for their solution;
  • determining the most proper conceptual and methodological approaches;
  • selecting and integrating the fittest technologies for implementing the solutions detected.
contenuti
  • Case Studies
    • ChatGPT—Beyond the Turing Test
    • Autonomy in Biology
    • Programming Intentional Agents in AgentSpeak(L) & Jason
    • Natural Language Processing
  • General Issues of Intelligent Systems
    • Drivers for Intelligent Systems
    • On Autonomy. Concepts & Definitions
    • Agents for Intelligent Systems Engineering
    • Artificial Intelligence. A Bird’s Eye View
    • Automated Reasoning
    • Reasoning Agents
    • Logic & Computation
    • Planning for Intelligent Agents
    • Self-Organising Systems
    • Nature-Inspired Coordination & Self-Organisation
    • Interacting with Autonomous Systems: Conversational Informatics
    • Simulation & Multi-Agent Systems: An Introduction
  • Scientific Competences
    • Sources of Scientific Literature for Intelligent & Autonomous Systems
    • Systematic Literature Review. A Methodology for Scientific Surveys
  • Technologies for Intelligent Systems
    • Knowledge Representation
    • Inference
    • Perception and Actuation
    • Planning with STRIPS
    • Programming Intentional Agents: Exercises in Jason
    • eXplainable Artificial Intelligence (XAI): A Gentle Introduction
testi / bibliografia

The bibliography is made available through the course web site.

metodi didattici
  • Lessons with slides
  • Examples discussed and built by the teachers
  • Lab activity
modalità di verifica e valutazione dell'apprendimento
  • Development of an individual/group project, typically involving the design and prototyping of an intelligent system (software+report)
  • Presentation and discussion of the aforementioned project
strumenti a supporto della didattica
serie di corsi
funge da
corso genitore
Course_icon.svg Ingegneria dei sistemi intelligenti (modulo 1) (laurea magistrale, 2025/2026) — Andrea Omicini
Course_icon.svg Ingegneria dei sistemi intelligenti (modulo 2) (laurea magistrale, 2025/2026) — Giovanni Ciatto