PhD programme of the Faculty of Informatics (PHDINF)
Courses 2021-2022
Fall semester - Elective course
- Advanced Topics in Machine Learning, Alippi C., Cini A.
- Bioinformatics, Limongelli V.
- Computational Biology and Drug Design, Limongelli V.
- Computer Aided Verification, Sharygina N., Asadi S.
- Cyber-Physical Software Engineering, Banzi M., Ferrante A., Cereda E.
- Deep Learning Lab, Irie K.
- Distributed Algorithms, Pedone F., Eslahi Kelorazi M., Milosevic N.
- Engineering of Domain Specific Languages, Mocci A., Raglianti M.
- Introduction to Ordinary Differential Equations, Krause R., Pezzuto S., Gander L.
- Knowledge Analysis & Management, Tonella P., Humbatova N.
- Lean Six Sigma, Rossetti P.
- Machine Learning, Wand M., Ashley D. R., Faccio F., Gopalakrishnan A., Herrmann V., Kirsch L.
- Mobile and Wearable Computing, Santini S., Gashi S.
- Numerical Algorithms, Hormann K., Fuda C., Schuerch M.
- Programming Styles, Hauswirth M., Moreno Santos I.
- SI Seminars, Tonella P., Jahangirova G., Weiss M.
- Software Atelier: Partial Differential Equations, Krause R.
Spring semester - Elective course
- Advanced Discretization Methods, Pivkin I.
- Business Process Modeling, Management and Mining, Pautasso C.
- Computer Vision & Pattern Recognition, Hormann K.
- Geometric Algorithms, Papadopoulou E.
- Graph Deep Learning, Alippi C.
- Graphical Models and Network Science, Wit E. C.
- Information Modeling & Analysis, Tonella P.
- Introduction to Partial Differential Equations, Multerer M.
- Particle Methods, Pivkin I.
- Quantum Computing, Wolf S.
- Software Analysis, Furia C. A.
- Software Architecture, Pautasso C.
- Solution and Optimization methods for Large Scale Problems, Krause R.
