Artificial Intelligence deals with computer based systems that are inspired by human and animal intelligence. Its pervasive applications are characterized by being strongly interdisciplinary and innovative. The topics treated in this track include: knowledge modeling and management, machine learning, decision support systems, automatic reasoning, intelligent control, intelligent data analysis and data mining, semantic web, game theory, advanced and affective human-machine interaction, autonomous software (videogames, e-business and e-government), and robotic autonomous agents (the next devices we will have in our home, according to Bill Gates). Besides providing good theoretical foundations and a solid general computer engineering basis, this track aims to develop a knowledge of Artificial Intelligence techniques that can be important for highly skilled and fascinating jobs with a high degree of technology and innovation, providing a competitive advantage on the job market.

Characterizing courses: Artificial Intelligence, Knowledge Engineering, Soft Computing, Machine learning, Advanced Computer Architectures, Computer Infrastructure and Computer Security, Data Mining and Text Mining, Autonomous agents and multiagents systems. Depending on preferences, good complements that treat also AI-related topics are: Economics and Computation, Videogame Design and Programming, Robotics.

 

Contact Professor: Prof. Bonarini

COURSES OF THE TRACK