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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.
course contents
Intelligence and autonomy in software and artificial systems
Artificial intelligence: short history, main concepts and techniques
The many diverse meanings of autonomy in artificial and software systems
Agents, multi-agent systems, and the engineering of intelligent systems
Agent meta-models, models, and main technologies
Agent-oriented software engineering
AI meets autonomy: Intelligent agents
Logic & computation
Automated reasoning & planning
Reasoning agents
Symbolic vs. sub-symbolic AI
Machine learning meets intelligent agents
eXplainable Artificial Intelligence
readings / bibliography
The bibliography is made available through the course web site.
teaching methods
Lessons with slides
Lab activity
assessment methods
The assessment of the learning achievements is organised around the development of an individual/group project, which results in the production of suitable artefacts, either documental or software. The final test consists in the oral discussion of the project. General guidelines for grades:
(18-23) good overall understanding of the main topics of the course; mostly-correct usage of technical and scientific language
(24-27) very good understanding of most of the topics of the course; proper usage of technical and scientific language
(28-30) deep understanding of all the topics of the course; brilliant usage of technical and scientific language
(30L) complete understanding of all the topics of the course, and beyond; outstanding usage of technical and scientific language
Intelligent Systems Engineering 2025/2026 • 
