Specialization: Foundations of AI and ML
- Updated on
- 12 Apr 2021
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 [1] (6 CFU, II Year)
At least 18 CFU between
- Advanced Topics in Machine Learning [2] (6 CFU, II Year)
- Computer Vision and Pattern Recognition [3] (6 CFU, I Semester, II Year)
- Software Development Methods [4] (6 CFU, I Semester, II Year)
- Natural Language Processing [5] (6 CFU, II Semester, II Year)
- Information theory [6] (6 CFU, I Semester, II Year)
- Cyber-Physical Systems [7] (6 CFU, II Semester, II Year)
- Stochastic Modelling and Simulation [8] (6 CFU, II semester, II year)
- Information Retrieval [9] and Data Visualization [10] (6 CFU, II Semester, II Year)
- Mathematical Optimization [11] (6 CFU, II Semester, II Year)
- Control Theory [12](6 CFU, II Year)
- Bayesian Statistics [13] (6 CFU, II semester, II year)
- Advanced Algorithms for Data Science [14] (6 CFU, II Semester, II Year)
- Statistical Learning for Data Science [15] (6 CFU, II Semester, II Year)
- Open Data Management and the Cloud [16] (6 CFU, I Semester, II Year)
- Parallel Programming for HPC [17] (6 CFU, II Year)
- Advanced Probability [18] (6 CFU, II Year)
- Global and Multi-Objective Optimization [19] (6 CFU, II Year)
- Advanced Data Management and Curation [20] (6 CFU, II Semester, II Year)