Master of Science in Artificial Intelligence (MAI)
Courses 2022-2023
Fall semester - Lecture
- Advanced Topics in Machine Learning, Alippi C.
- Algorithms & Complexity, Papadopoulou E.
- Artificial Intelligence, Gambardella L. M.
- Bioinformatics, Limongelli V.
- Deep Learning Lab, Irie K.
- Distributed Algorithms, Pedone F.
- Edge Computing in the IoT, Ferrante A.
- Introduction to Ordinary Differential Equations, Krause R.
- Knowledge Analysis & Management, Tonella P.
- Machine Learning, Wand M.
- Mathematics of Machine Learning (and AI), Krause R.
- Mobile and Wearable Computing, Santini S.
- Numerical Algorithms, Hormann K.
- Programming Styles, Hauswirth M.
- User Experience Design, Landoni M., Langheinrich M.
- Writing business plans, Colombo G.
Fall semester - Lecture and Laboratory
Spring semester - Lecture
- Advanced Networking, Carzaniga A.
- Business Intelligence and Applications, Martinenghi D.
- Business Process Modeling, Management and Mining, Pautasso C.
- Computer Vision & Pattern Recognition, Hormann K.
- Data Analytics, Crestani F.
- Effective High-Performance Computing & Data Analytics, Schenk O.
- Entrepreneurship: Theory and Practice, Colombo G., Barut M. G.
- Graph Deep Learning, Alippi C.
- Image and Video Processing, Didyk P. K.
- Information & Physics, Wolf S.
- Information Modeling & Analysis, Tonella P.
- Introduction to Partial Differential Equations, Multerer M.
- Quantum Computing, Wolf S.
- Security Aspects of Machine Learning, Regazzoni F.
Spring semester - Research seminar
Courses 2021-2022
Fall semester - 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.
- Master Thesis (MAI), Gambardella L. M., Schmidhuber J.
- Numerical Algorithms, Hormann K., Fuda C., Schuerch M.
Fall semester - Elective course
- 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.
Spring semester - Foundation course
Spring semester - Elective course
- Advanced Computer Architectures, Pozzi L., Felici R.
- Advanced Networking, Carzaniga A., Fattaholmanan Najafabadi A.
- Business Intelligence and Applications, Martinenghi D., Humbatova N.
- Effective High-Performance Computing & Data Analytics, Holt T. A. B., Lechekhab M., Schenk O.
- Entrepreneurship: Theory and Practice, Colombo G., Barut M. G.
- Geometric Algorithms, Papadopoulou E.
- Information & Physics, Wolf S., Coiteux-Roy X.
- Introduction to Partial Differential Equations, Multerer M.
- Philosophy and Artificial Intelligence, Facchini A., Smith B.
- Quantum Computing, Wolf S., Ceoldo G.
- Software Atelier: Simulation, Data Science & Supercomputing, Schenk O.
- Solution and Optimization methods for Large Scale Problems, Krause R., Gander L.
