Courses of the specialization

Compulsory courses:

• Deep Learning [1] (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 [2] (6 CFU, II Semester, II year, Available from AY 2022/23)
• Cyber-Physical Systems [3] (6 CFU, II semester, II Year)
• Computer Vision and Pattern Recognition [4]  (6 CFU, I Semester, II Year)
• Software Development Methods [5]  (6 CFU, I Semester, II Year)
• Natural Language Processing [6] (6 CFU, II Semester, II Year)
• Information theory [7]  (6 CFU, I Semester, II Year)
• Control Theory [8] (6 CFU, II semester, II year)
• Unsupervised Learning [9] (6 CFU, II semester, I year)
• Global and Multi-Objective Optimization [10] (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 [11] (6 CFU, II semester, II year)
• Information Retrieval and Data Visualization [12] (6 CFU, I Semester, II Year)
• Mathematical Optimization [13] (6 CFU, II semester, II Year)
• Bayesian Statistics [14] (6 CFU, II semester, II year)
• Statistical Learning for Data Science [15] (6 CFU, II semester, II Year)
• Advanced Probability [16] (6 CFU, I semester, II Year)
• Advanced Data Management and Curation [17] (6 CFU, II semester, II Year)

For students of previous academic years: please refer to the study plan of your year of enrollment [18]!