Master of Science in Artificial Intelligence (MAI)
Corsi 2022-2023
Semestre autunnale
Lezione
Obbligatorio
- Algorithms & Complexity, Papadopoulou E., Prorokovic K., Wang Z.
- Artificial Intelligence, Gambardella L. M., Adorni G., Mele U. J.
- Deep Learning Lab, Irie K., Csordas R., Ramesh A.
- Distributed Algorithms, Pedone F., de Lima Batista E. R., Milosevic N.
- Machine Learning, Wand M., Ashley D. R., Gopalakrishnan A., Herrmann V., Kirsch L.
- Numerical Algorithms, Hormann K., Schober W.
A scelta
- Advanced Topics in Machine Learning, Alippi C., Cini A., Marisca I.
- Bioinformatics, Limongelli V.
- Edge Computing in the IoT, Ferrante A., Butera L.
- Knowledge Analysis & Management, Tonella P., De Souza Doreste A. C.
- Mathematics of Machine Learning (and AI), Krause R., Giordano L.
- Mobile and Wearable Computing, Santini S., Abdalazim N. A. R.
- Programming Styles, Hauswirth M., Moreno Santos I.
- User Experience Design, Landoni M., Langheinrich M., Soares Guedes L., Zanardi I.
- Writing Business Plans, Colombo G.
Lezione e laboratorio
A scelta
Semestre primaverile
Lezione
A scelta
- Business Intelligence and Applications, Martinenghi D., Alchieri L.
- Business Process Modeling, Management and Mining, Pautasso C., Atwi H.
- Effective High-Performance Computing & Data Analytics, Schenk O., Gaedke-Merzhäuser L., Holt T. A. B., Lechekhab M.
- Entrepreneurship: Theory and Practice, Colombo G., Barut M. G.
- Image and Video Processing, Didyk P. K., Condor Lacambra J., Tariq T.
- Information & Physics, Wolf S., Schober W.
- Information Modeling & Analysis, Tonella P., De Souza Doreste A. C.
- Introduction to Partial Differential Equations, Multerer M., Huang W.
- Quantum Computing, Wolf S., Laneve L.
- Security Aspects of Machine Learning, Regazzoni F., Slooff T. A.
Lezione e laboratorio
Obbligatorio
- Robotics, Giusti A., Cereda E., Mantegazza D.
Seminario di ricerca
