Master of Science in Artificial Intelligence (MAI)
Corsi 2019-2020
Semestre autunnale - Corso di base
- Algorithms & Complexity, Papadopoulou E., Junginger K., Tomasi C.
- Artificial Intelligence, Gambardella L., Zaffalon M., Casanova Flores A.
- Deep Learning Lab, Rauber P., Schlag I., Stanic A.
- Distributed Algorithms, Pedone F.
- Machine Learning, Alippi C., Schmidhuber J., Csordas R., Faccio F., Kirsch L., Prorokovic K., Zuo X.
- Master Thesis (AI)
- Numerical Algorithms, Hormann K., Benedusi P., Suderland M.
Semestre autunnale - Corso a scelta
- Advanced Topics in Machine Learning, Corani G., Giusti A., Schmidhuber J., van Steenkiste S.
- Blockchains - Protocols and Techniques for Distributed Trust, Cachin C.
- High-Performance Computing, Schenk O., Eftekhari A., Janalík R.
- Introduction to Ordinary Differential Equations, Krause R., Pezzuto S., Rovi G.
- Introduction to Partial Differential Equations, Multerer M., Ben Bader S.
- Mobile and Wearable Computing, Santini S., Di Lascio E.
- Programming Challenges Lab, Carzaniga A.
- Programming Styles, Hauswirth M., Marescotti M.
- User Experience Design, Landoni M., Langheinrich M., Ríssola E. A.
Semestre primaverile - Corso di base
Semestre primaverile - Corso a scelta
- Advanced Computer Architectures, Pozzi L., Ferretti L.
- Advanced Networking, Carzaniga A.
- Business Intelligence and Applications, Martinenghi D., Humbatova N.
- Geometric Algorithms, Papadopoulou E., Suderland M.
- Inglese preparazione C1, Dawson C.
- Philosophy and Artificial Intelligence, Facchini A., Smith B., Mattei L. F.
- Quantum Computing, Wolf S., Coiteux-Roy X.
- Software Atelier: Simulation, Data Science & Supercomputing, Schenk O.
- Solution and Optimization methods for Large Scale Problems, Krause R., Simpson T.
