Master of Science in Artificial Intelligence (MAI)
Corsi 2021-2022
Semestre autunnale - Foundation course
- Algorithms & Complexity, Papadopoulou E., Nayak K.
- Artificial Intelligence, Gambardella L. M., Mele U. J.
- Deep Learning Lab, Irie K.
- Distributed Algorithms, Pedone F., Eslahi Kelorazi M., Milosevic N.
- Machine Learning, Wand M., Ashley D. R., Faccio F., Gopalakrishnan A., Herrmann V., Kirsch L. M.
- Master Thesis (MAI), Gambardella L. M., Schmidhuber J.
- Numerical Algorithms, Hormann K., Fuda C., Schuerch M.
Semestre autunnale - Corso a scelta
- Advanced Topics in Machine Learning, Alippi C., Cini A.
- Bioinformatics, Limongelli V.
- High-Performance Computing, Schenk O., Holt T. A. B., Lechekhab M.
- Introduction to Ordinary Differential Equations, Krause R., Pezzuto S., Gander L.
- Mobile and Wearable Computing, Santini S., Gashi S.
- Programming Styles, Hauswirth M., Moreno Santos I.
- User Experience Design, Landoni M., Langheinrich M., Soares Guedes L., Valguarnera S.
- Writing Business Plans, Colombo G.
Semestre primaverile - Foundation course
Semestre primaverile - Corso a scelta
- Advanced Computer Architectures, Pozzi L.
- Advanced Networking, Carzaniga A.
- Business Intelligence and Applications, Martinenghi D.
- Effective High-Performance Computing & Data Analytics, Schenk O.
- Entrepreneurship: Theory and Practice, Colombo G., Barut M. G.
- Geometric Algorithms, Papadopoulou E.
- Information & Physics, Wolf S.
- Introduction to Partial Differential Equations, Multerer M.
- Philosophy and Artificial Intelligence, Facchini A., Smith B.
- Quantum Computing, Wolf S.
- Software Atelier: Simulation, Data Science & Supercomputing, Schenk O.
- Solution and Optimization methods for Large Scale Problems, Krause R.
