Courses of the specialization
Compulsory courses:
- Deep Learning (6 CFU, I semester, II Year)
At least 18 CFU of your choice, of which minimum 6 CFU from the following courses:
- Advanced Topics in Machine Learning (6 CFU, II Semester, II year, Available from AY 2022/23)
- Cyber-Physical Systems (6 CFU, II semester, 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)
- Control Theory (6 CFU, II semester, II year)
- Unsupervised Learning (6 CFU, II semester, I year)
- Global and Multi-Objective Optimization (6 CFU, I semester, II Year, Available from AY 2022/23)
and the other 12 CFU from the following:
- all the previous ones
- Stochastic Modelling and Simulation (6 CFU, II semester, II year)
- Information Retrieval and Data Visualization (6 CFU, I Semester, II Year)
- Mathematical Optimization (6 CFU, II semester, II Year)
- Bayesian Statistics (6 CFU, II semester, II year)
- Statistical Learning for Data Science (6 CFU, II semester, II Year)
- Advanced Probability (6 CFU, I semester, II Year)
- Advanced Data Management and Curation (6 CFU, II semester, II Year)