Master of Science in Computational Science (MCS)
Courses 2022-2023
Fall semester
Lecture
Elective
- Advanced Topics in Machine Learning, Alippi C., Cini A., Marisca I.
- Algorithms & Complexity, Papadopoulou E., Prorokovic K., Wang Z.
- Analysis of Social Networks, Amati V., Lomi A.
- Artificial Intelligence, Gambardella L. M., Adorni G., Mele U. J.
- Bioinformatics, Limongelli V.
- Computational Biology and Drug Design, Limongelli V.
- Deep Learning Lab, Irie K., Csordas R., Ramesh A.
- Distributed Algorithms, Pedone F., de Lima Batista E. R., Milosevic N.
- Distributed Systems, Eugster P. T., Otoni R. B.
- Machine Learning, Wand M., Ashley D. R., Gopalakrishnan A., Herrmann V., Kirsch L.
- Numerical Algorithms, Hormann K., Schober W.
- Software Tools for Computational Science, Limongelli V.
Lecture and Laboratory
Project
Spring semester
Lecture
Elective
- Advanced Discretization Methods, Pivkin I.
- Computational Fabrication, Didyk P. K., Surace L.
- Computer Vision & Pattern Recognition, Hormann K., Ramanantoanina A.
- Data Analytics, Crestani F., Nava M., Sekulic I.
- Effective High-Performance Computing & Data Analytics, Schenk O., Gaedke-Merzhäuser L., Holt T. A. B., Lechekhab M.
- Graph Deep Learning, Alippi C., Boschi M., Marisca I.
- Graphical Models and Network Science, Wit E. C., Filippi-Mazzola E. G.
- Information & Physics, Wolf S., Schober W.
- Information Security, Langheinrich M., Rezaalipour M., Tirelli C.
- Introduction to Bayesian Computing, Mira A., Ruggeri F., Di Noia A.
- Introduction to Partial Differential Equations, Multerer M., Huang W.
- Particle Methods, Pivkin I.
- Quantum Computing, Wolf S., Laneve L.
- Software Atelier: Partial Differential Equations
- Text Analysis and Spatial Data for Economists, D'Ambros M., Parchet R., Albertini M.
Lecture and Laboratory
Elective
- Robotics, Giusti A., Cereda E., Mantegazza D.
Other
