Master of Science in Artificial Intelligence (MAI)
Corsi 2023-2024
Semestre autunnale
Lezione
Obbligatorio
- Advanced Topics in Machine Learning, Alippi C., Carman M. J., Cini A., Manenti A., Marisca I.
- Algorithms & Complexity, Arseneva E., Papadopoulou E., Oliver Burwitz N., Wang Z.
- Artificial Intelligence (MSc), Gambardella L. M., Bedi N. S., Encz K. I.
- Deep Learning Lab, Vercesi E., Dei Rossi A., Marzi T., Palomba M.
- Machine Learning (MSc), Wand M., Ashley D. R., Gopalakrishnan A., Herrmann V., Hou Q.
- Numerical Algorithms, Hormann K., Fuda C.
A scelta
- Bioinformatics, Limongelli V.
- Computational Biology and Drug Design, Limongelli V.
- Introduction to Data Science, Wit E. C., Filippi-Mazzola E. G.
- Introduction to Ordinary Differential Equations, Krause R., Rosilho de Souza G., Vitali F.
- Knowledge Search & Extraction, Tonella P., De Souza Doreste A. C.
- Mobile and Wearable Computing, Santini S., Abdalazim N. A. R., Alchieri L.
- Programming Styles, Hauswirth M., Chiodini L.
- User Experience Design, Landoni M., Langheinrich M., Cosentino A., Zanardi I.
- Writing Business Plans, Martignoni D.
Lezione e laboratorio
Semestre primaverile
Lezione
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
- Geometric Algorithms, Arseneva E., Papadopoulou E.
- Graphical Models and Network Science, Wit E. C.
- Image and Video Processing, Didyk P. K.
- Information & Physics, Wolf S.
- Information Modeling & Analysis, Tonella P.
- Introduction to Partial Differential Equations, Baroli D.
- Quantum Computing, Wolf S.
- Scientific Learning, Krause R.
- Security Aspects of Machine Learning, Regazzoni F.
Seminario di ricerca
A scelta
- Philosophy and Artificial Intelligence, Landgrebe J., Smith B.
