Artificial Intelligence and Data Analysis

The course aims at introducing the fundamental concepts regarding Artificial Intelligence, by illustrating main methods and applications.
Specifically, the course will present the philosophical and socio-technical bases of the Artificial Intelligence concept, focusing on its role in the development of Cognitive Sciences in particular.
Secondarily, the course will present the psychological and social factors influencing the implementation of Artificial Intelligence in the real world, including the decision strategies to deal with the new ethical and pragmatic challenges associated with Artificial Intelligence usage in multiple fields (a particular focus will be put on the healthcare and medicine context).
In its technical part, the course will present the main activities accessible to Artificial Intelligences' elaboration processes, ranging from logic (propositional, first order, fuzzy), to reasoning systems, planning and uncertainty management, natural language elaboration.
By presenting these contents, particular attention will be given to methods and applications related to data analysis.

The student will be expected to be able to present the theoretical contents of the course effectively, and to compare diverse algorithmic solutions meant to solve the same problems. Secondarily, he or she will mature the ability to deal with real cases of AI management in applied contexts.