Master (Laurea Magistrale) in: Artificial Intelligence and Robotics
Course begins September, 26 2017,
ends December 22.
Tuesday 14:00 - 16:00 A4
Wedneday 9:00 - 12:00 A4
Room A4: Via Ariosto
Tools - FTP download
International labs link
This course introduces neural networks and others soft computing methods which, unlike hard computing, are tolerant of imprecision, uncertainty and partial truth. Topics include: neural networks model, architectures, mathematical property and learning algorithms; optimization algorithms for soft computing methods; introduction to fuzzy-set; application on intelligent data analysis, patterns recognition, multi-sensors data-fusion, blind source separation.
The student acquires basic and specific knowledge related to the discipline. In particular, it is able to implement (and evaluate the performance) of complex systems for pattern recognition and dynamic data processing.
Final exam modalities
After the study of the course material and a preliminary discussion with the teacher, the examination consists in the discussion of an assigned home work.
The course will be taught in English