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Science
Master Degree
Artificial Intelligence for Science and Technology [F9102Q]
Courses
A.A. 2024-2025
1st year
1st year
Course full name
Advanced Artificial Intelligence, Machine Learning and Deep Learning
Course ID number
2425-1-F9102Q009
ECTS: 6
SYLLABUS
Course full name
Advanced Computational Techniques for Big Imaging and Signal Data
Course ID number
2425-1-F9102Q015
ECTS: 6
Course full name
Advanced Data Management and Decision Support Systems
Course ID number
2425-1-F9102Q008
ECTS: 6
SYLLABUS
Course full name
Advanced Foundations of Artificial Intelligence
Course ID number
2425-1-F9102Q004
ECTS: 12
Course full name
Advanced Foundations of Mathematics for AI
Course ID number
2425-1-F9102Q001
ECTS: 6
SYLLABUS
Course full name
Advanced Foundations of Physics for AI
Course ID number
2425-1-F9102Q003
ECTS: 6
SYLLABUS
Course full name
Advanced Foundations of Statistics for AI
Course ID number
2425-1-F9102Q002
ECTS: 6
SYLLABUS
Course full name
AI Models for Physics
Course ID number
2425-1-F9102Q022
ECTS: 6
SYLLABUS
Course full name
Ambient Intelligence
Course ID number
2425-1-F9102Q043
ECTS: 12
Syllabus composto
Course full name
Embedded Systems Architectures and Design
Course ID number
2425-1-F9102Q012
ECTS: 6
Course full name
Foundations of Quantum Computing
Course ID number
2425-1-F9102Q039
ECTS: 6
SYLLABUS
Course full name
Machine Learning for Modelling
Course ID number
2425-1-F9102Q045
ECTS: 12
Course full name
Sensing and Vision for Industry and Environment
Course ID number
2425-1-F9102Q029
ECTS: 12
Course full name
Signal and Imaging Acquisition and Modelling in Environment
Course ID number
2425-1-F9102Q017
ECTS: 6
SYLLABUS
Course full name
Signal and Imaging Acquisition and Modelling in Healthcare
Course ID number
2425-1-F9102Q016
ECTS: 6
SYLLABUS
Course full name
Statistical Learning
Course ID number
2425-1-F9102Q023
ECTS: 6
Course full name
Systems for Industry 4.0 and Environment (IoT)
Course ID number
2425-1-F9102Q007
ECTS: 6
SYLLABUS