The specialization in Foundations of AI and ML is the most flexible one, and gives a broad set of competences. It is particularly suited for students interested in research.
Courses of the specialization
Compulsory courses:
- Reinforcement Learning (6 CFU, II Year)
At least 18 CFU between
- Advanced Topics in Machine Learning (6 CFU, II Year)
- Computer Vision and Pattern Recognition (6 CFU, I Semester, II Year)
- Software Development Methods (6 CFU, I Semester, II Year)
- Natural Language Processing (6 CFU, II Semester, II Year)
- Information theory (6 CFU, I Semester, II Year)
- Cyber-Physical Systems (6 CFU, II Semester, II Year)
- Stochastic Modelling and Simulation (6 CFU, II semester, II year)
- Information Retrieval and Data Visualization (6 CFU, II Semester, II Year)
- Mathematical Optimization (6 CFU, II Semester, II Year)
- Control Theory (6 CFU, II Year)
- Bayesian Statistics (6 CFU, II semester, II year)
- Advanced Algorithms for Data Science (6 CFU, II Semester, II Year)
- Statistical Learning for Data Science (6 CFU, II Semester, II Year)
- Open Data Management and the Cloud (6 CFU, I Semester, II Year)
- Parallel Programming for HPC (6 CFU, II Year)
- Advanced Probability (6 CFU, II Year)
- Global and Multi-Objective Optimization (6 CFU, II Year)
- Advanced Data Management and Curation (6 CFU, II Semester, II Year)