The Artificial Intelligence and Machine Learning curriculum is devoted to train expert in modern Artificial Intelligence techniques, in particular Machine Learning techniques. You will learn skills in machine learning, artificial intelligence, statistics, modelling, high performance computing and management of databases for big data. 

The curriculum is organized in common core courses (roughly I semester of I year), curriculum specific core courses (II semester of I year), and application specific courses (II year), depending on the application area/ study plan selected. 

Common core courses:

• Advanced Programming and Algorithmic Design [1] (12 CFU, I-II semester, I year)
• Foundations of High Performance Computing [2] (9 CFU, I semester, I year)
• Introduction to Machine Learning [3] (6 CFU, I semester, I year)
• Statistical Methods for Data Science [4] (6 CFU, I semester, I year)
• Numerical Analysis [5] (6 CFU, I semester, I year)

Curriculum specific core courses:

• Probabilistic Machine Learning [6]  (6 CFU, II semester, I year)
• Reinforcement Learning [7] (6 CFU, II semester, I year)
• Data Management for Big Data [8]  (9 CFU, II semester, I year)

The study plans (application areas) available for the second year are the following:

• AI for Cyber-Physical Systems [9]
• Foundations of AI and ML [10]

For students of previous academic years: please refer to the study plan of your year of enrollment [11]!