ARTIFICIAL INTELLIGENCE
First-cycle degree course
Links condivisione social
Artificial intelligence
The Degree Program in Artificial Intelligence aims to provide the theoretical foundations, techniques, methodologies, and applications of artificial intelligence. Its goal is to contribute to the dissemination and advancement of knowledge and skills in this discipline and its application areas, promoting technological innovation and supporting the economic and social development of the country. The objectives of the Degree Program in Artificial Intelligence are to understand the fundamentals of artificial intelligence and to use this knowledge in significant applications relevant to the workforce. The program is inter-university and is offered in English jointly with the University of Milan and the University of Milano-Bicocca.
Overview of the program
Duration
3 years
Credits
180
Coordinator of the course
Claudio Cusano
Area
Mathematic, Physical and Natural Sciences
Access
Programmed
Language
English
Degree class
L-31-R -
Department
DEPARTMENT OF MATHEMATICS "FELICE CASORATI"
Location
PAVIA - University of Pavia
Year of study:
1
Compulsory
- CALCULUS 12 CFU - 108 hours Annual
- COGNITIVE PSYCHOLOGY 6 CFU - 48 hours 2nd semester
- COMPUTATIONAL LOGIC 6 CFU - 52 hours 1st semester
- COMPUTER PROGRAMMING, ALGORITHMS AND DATA STRUCTURES 12 CFU - 110 hours Annual
- EXPERIMENTAL PHYSICS FOR AI 6 CFU - 56 hours 1st semester
- KNOWLEDGE REPRESENTATION AND REASONING 12 CFU - 112 hours Annual
- THEORETICAL AND COMPUTATIONAL LINEAR ALGEBRA 6 CFU - 54 hours 2nd semester
Year of study:
2
Compulsory
- ETHICS, LAW AND AI 12 CFU - 96 hours
- FUZZY SYSTEMS AND EVOLUTIONARY COMPUTING 6 CFU - 56 hours
- MACHINE LEARNING, ARTIFICIAL NEURAL NETWORKS AND DEEP LEARNING 12 CFU - 112 hours
- PROBABILITY AND STATISTICAL INFERENCE 12 CFU - 104 hours
- TEXT MINING AND NATURAL LANGUAGE PROCESSING 6 CFU - 56 hours
- THEORETICAL AND QUANTUM PHYSICS FOR AI 12 CFU - 112 hours
Year of study:
3
Compulsory
- BRAIN MODELLING 6 CFU - 52 hours
- FINAL EXAM 3 CFU - 75 hours
- STATISTICAL MODELLING 6 CFU - 56 hours
- ITALIAN LANGUAGE FOR FOREIGN STUDENTS 3 CFU - 24 hours
- LABORATORY OF COGNITIVE AND BEHAVIOURAL MEASURES 3 CFU - 36 hours
- LABORATORY OF COMPLEX SYSTEMS 3 CFU - 36 hours
- LABORATORY OF COMPUTATIONAL INTELLIGENCE 3 CFU - 36 hours
- LABORATORY OF MACHINE LEARNING 3 CFU - 36 hours
- LABORATORY OF MACHINE LEARNING FOR PHYSICS AND ASTRONOMY 3 CFU - 36 hours
- LABORATORY OF MEDICAL DEVICES AND SYSTEMS 3 CFU - 36 hours
- LABORATORY OF NEURAL SIGNALS AND BRAIN-INSPIRED SYSTEMS 3 CFU - 36 hours
- LABORATORY OF PHYSICS SENSORS AND RELATED DATA ANALYSIS 3 CFU - 36 hours
- LABORATORY OF QUANTUM INFORMATION 3 CFU - 36 hours
- PROJECT WORK 3 CFU - 36 hours
- STAGE 9 CFU - 225 hours
- STAGE 6 CFU - 150 hours
- ARTIFICIAL INTELLIGENCE FOR COMMUNICATION AND MARKETING 6 CFU - 56 hours
- DATA AND KNOWLEDGE BASES 6 CFU - 56 hours
- INFORMATION RETRIEVAL AND RECOMMENDER SYSTEMS 6 CFU - 56 hours
- WEB AND SOCIAL MEDIA SEARCH AND ANALYSIS 6 CFU - 56 hours
- DYNAMICAL SYSTEM FOR INDUSTRIAL AUTOMATION 6 CFU - 48 hours
- HUMAN-SYSTEM INTERACTION 6 CFU - 56 hours
- MEDICAL APPLICATION AND HEALTH-CARE 6 CFU - 48 hours
- SIGNAL AND IMAGE PROCESSING 6 CFU - 56 hours
- ARTIFICIAL INTELLIGENCE AND SOCIETY 6 CFU - 48 hours
- BRAIN-INSPIRED NEURAL NETWORKS AND NEURAL ARCHITECTURES 6 CFU - 56 hours
- HUMAN-SYSTEM INTERACTION 6 CFU - 56 hours
- LOGIC FOR PRACTICAL REASONING AND ARTIFICIAL INTELLIGENCE 6 CFU - 48 hours
- EXPERIMENTAL PHYSICS FOR AI 2 6 CFU - 56 hours
- IMAGING AND SPECTROSCOPY FOR ENVIRONMENT AND HEALTH 6 CFU - 56 hours
- MATERIALS AND PLATFORMS FOR ARTIFICIAL INTELLIGENCE 6 CFU - 56 hours
- MATHEMATICS FOR IMAGING AND SIGNAL PROCESSING 6 CFU - 56 hours
Educational goals
Career opportunities
Admission requirements
The degree in Artificial Intelligence (L-31) is an inter-university course in collaboration with the University of Milan Bicocca and the University of Milan Statale and it is entirely taught in English. Access to the course in Artificial Intelligence is limited (numerus clausus- restricted access) at local level;
All information relating to access to the degree course, the terms and procedures to be followed (under penalty of exclusion from enrollment) are duly stated in the annual announcement.
For information on application procedures please visit this page.