Master of Science in Computational Science (MCS)
Corsi 2026-2027
Semestre autunnale
Lezione
Atelier
Progetto
Obbligatorio
Semestre primaverile
Lezione
A scelta
- Advanced Networking, Carzaniga A.
- Computer Vision, Engelmann F.
- Data Analytics, Bucur-Cosma A. M.
- Data Management, Eugster P. T.
- Discretization Methods, Pivkin I.
- Geometric Algorithms, Papadopoulou E.
- Graphical Models, Wit E. J.
- Information & Physics, Wolf S.
- Particle Methods, Pivkin I.
- Quantum Computing, Wolf S.
- Text Analysis and Spatial Data for Economists, D'Ambros M., Parchet R.
Lezione e laboratorio
Progetto
Obbligatorio
Corsi 2025-2026
Semestre autunnale
Lezione
Obbligatorio
- Algorithms & Complexity, Papadopoulou E., Encz K. I., Wang Z.
- Analysis of Social Networks, Bianchi F., Lomi A., Chandra P.
- Bioinformatics, Limongelli V.
- Distributed Algorithms, Pedone F., Martignetti L., Peykani Sani P.
- Distributed Systems, Eugster P. T., Dominici G., Mohammadpourfard A., Rovelli D.
- Introduction to Data Science (MSc), Richter Mendoza F. J., Wit E. J., Lembo M.
- Introduction to Programming (Python), Binder W., Alecci L., Bhuiyan S. S., Fenoglio D., Li M.
- Numerical Algorithms, Hormann K., Bedi N. S.
A scelta
- Computational Biology and Drug Design, Limongelli V.
- Data Analytics for Fraud Detection, Pasadakis D., Sathe M.
- Deep Learning Lab, Vercesi E., Dei Rossi A., Huber S., Scarciglia L.
- Graph Deep Learning, Alippi C., Manenti A., Marzi T., Moretti V.
- History of Computing, Schmutterer F.
- Introduction to Fourier Analysis, Giacchi G., Avesani S.
- Introduction to Ordinary Differential Equations, Richter Mendoza F. J., Damato S.
- Machine Learning (MSc), Wand M., Alcaide E., Donghi G., Toussaint G.
- Scattered Data Approximation, Multerer M., Quizi J.
Lezione e laboratorio
Obbligatorio
Atelier
Progetto
Obbligatorio
Semestre primaverile
Lezione
Obbligatorio
- Advanced Topics in Machine Learning, Alippi C., Maccarini M., Manenti A., Marzi T., Moretti V.
- Computer Architectures and Logic Design, Pozzi L., Buccolini A.
- Discretization Methods, Pivkin I.
- Introduction to Bayesian Learning, Mira A., Marchi G.
- Probability & Measure, Multerer M., Quizi J.
- Quantum Computing, Wolf S., Laneve L.
- Stochastic Methods, Sulem D., Dedò S., Liu W.
A scelta
- Advanced Networking, Carzaniga A., Polverino P.
- Computational Fabrication, Didyk P. K., Yurtsever M. A.
- Computer Vision & Pattern Recognition, Engelmann F., Hermann N.
- Data Analytics, Bucur-Cosma A. M., Crestani F., Ecevit I. S., Saad M.
- Data Management, Eugster P. T., Mohammadpourfard A., Peykani Sani P., Rovelli D., Shenoy A.
- Discretization Methods, Pivkin I.
- Geometric Algorithms, Papadopoulou E., Wang Z.
- Graphical Models and Network Science, Wit E. J., Lembo M.
- Information & Physics, Wolf S., Schober W.
- Information Security, Langheinrich M., Fenoglio D., Kirilenko D.
- Particle Methods, Pivkin I.
- Quantum Computing, Wolf S., Laneve L.
- Text Analysis and Spatial Data for Economists, D'Ambros M., Findahl J.
Lezione e laboratorio
A scelta
- Robotics, Giusti A., Arreghini S., Carlotti N.
Progetto
Obbligatorio
