Master of Science in Computational Science (MCS)
Corsi 2024-2025
Semestre autunnale
Lezione
Obbligatorio
- Introduction to Data Science (MSc), Wit E. J., Lembo M.
- Introduction to Ordinary Differential Equations, Richter Mendoza F. J., Quizi J.
- Introduction to Programming (Python), Binder W., Alecci L., Fenoglio D., Li M., Peykani Sani P.
- Numerical Algorithms, Hormann K., Fuda C.
- Scattered Data Approximation, Multerer M., Avesani S.
A scelta
- Advanced Topics in Machine Learning, Alippi C., Carman M. J., Manenti A., Marisca I., Marzi T.
- Algorithms & Complexity, Papadopoulou E., Encz K. I., Wang Z.
- Analysis of Social Networks, Bianchi F., Lomi A., Richter Mendoza F. J., Malaspina A.
- Artificial Intelligence (MSc), Lanzi P., Likaj S.
- Bioinformatics, Limongelli V.
- Computational Biology and Drug Design, Limongelli V.
- Databases, Crestani F., Verdolotti E.
- Deep Learning Lab, Vercesi E., Dei Rossi A., Dominici G., Huber S.
- Distributed Algorithms, Pedone F., de Lima Batista E. R., Martignetti L.
- Distributed Systems, Chuprikov P., Mohammadpourfard A., Rovelli D.
- History of Computing, Schmutterer F.
- Introduction to Ordinary Differential Equations, Richter Mendoza F. J., Quizi J.
- Machine Learning (MSc), Wand M., Alcaide E., Andronov M., Ashley D. R., Herrmann V.
- Numerical Algorithms, Hormann K., Fuda C.
- Scattered Data Approximation, Multerer M., Avesani S.
- Software Atelier: Simulation, Data Science & Supercomputing, Schenk O.
Lezione e laboratorio
Obbligatorio
Progetto
Obbligatorio
Semestre primaverile
Lezione
A scelta
- Advanced Networking, Carzaniga A.
- Computational Fabrication, Didyk P. K.
- Computer Architectures and Logic Design, Pozzi L.
- Computer Vision & Pattern Recognition, Hormann K.
- Data Analytics, Crestani F.
- Data Management, Eugster P. T.
- Discretization Methods, Pivkin I.
- Geometric Algorithms, Papadopoulou E.
- Graph Deep Learning, Alippi C.
- Graphical Models and Network Science, Wit E. J.
- Information & Physics, Wolf S.
- Information Security, Langheinrich M.
- Introduction to Bayesian Learning, Mira A.
- Particle Methods, Pivkin I.
- Quantum Computing, Wolf S.
- Stochastic Methods, Richter Mendoza F. J.
- Text Analysis and Spatial Data for Economists, D'Ambros M., Parchet R., Albertini M.
Lezione e laboratorio
Corsi 2023-2024
Semestre autunnale
Lezione
A scelta
- 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.
- Analysis of Social Networks, Amati V., Lomi A.
- Artificial Intelligence (MSc), Gambardella L. M., Bedi N. S., Encz K. I.
- Bioinformatics, Limongelli V.
- Computational Biology and Drug Design, Limongelli V.
- Databases, Crestani F., El Moussa N.
- Deep Learning Lab, Vercesi E., Dei Rossi A., Marzi T., Palomba M.
- Distributed Algorithms, Pedone F., de Lima Batista E. R., Milosevic N.
- Distributed Systems, Eugster P. T., Bedi N. S., Peykani Sani P., Rovelli D.
- Introduction to Ordinary Differential Equations, Krause R., Rosilho de Souza G., Vitali F.
- Machine Learning (MSc), Wand M., Ashley D. R., Gopalakrishnan A., Herrmann V., Hou Q.
- Numerical Algorithms, Hormann K., Fuda C.
- Scattered Data Approximation, Multerer M., Quizi J.
- Software Tools for Computational Biology, Raniolo S.
Lezione e laboratorio
Obbligatorio
- High-Performance Computing, Eftekhari A., Holt T. A. B., Lechekhab M.
Progetto
Obbligatorio
Semestre primaverile
Lezione
A scelta
- Advanced Computer Architectures, Pozzi L.
- Advanced Networking, Carzaniga A., Polverino P.
- Computational Fabrication, Didyk P. K., Yurtsever M. A.
- Computer Vision & Pattern Recognition, Hormann K., Zimmerman N.
- Data Analytics, Crestani F., Bedi N. S., Lu L.
- Data Management, Eugster P. T., Mousavian M., Pasini S., Rovelli D., Shenoy A.
- Discretization Methods, Pivkin I.
- Effective High-Performance Computing & Data Analytics, Schenk O., Henrique Löff J., Lechekhab M., Miotti P.
- Geometric Algorithms, Arseneva E., Papadopoulou E., Wang Z.
- Graph Deep Learning, Alippi C., Dominici G., Marzi T.
- Graphical Models and Network Science, Wit E. J., Filippi-Mazzola E. G.
- Information & Physics, Wolf S., Schober W.
- Information Security, Langheinrich M., Kirilenko D.
- Introduction to Bayesian Computing, Mira A., Ravenda F.
- Introduction to Partial Differential Equations, Baroli D., Avesani S.
- Particle Methods, Pivkin I., Miotti P.
- Quantum Computing, Wolf S., Laneve L.
- Scientific Learning, Favino M., Kothari H., Malaspina A.
- Stochastic Methods, Richter Mendoza F. J.
- Text Analysis and Spatial Data for Economists, D'Ambros M., Parchet R., Albertini M.
Lezione e laboratorio
A scelta
- Robotics, Giusti A., Arreghini S., Cereda E.