PhD programme in Informatics (PHDINF)
Courses 2026-2027
Fall semester
Lecture
Elective
- AI-Based Software Testing, Tonella P.
- Algorithms & Complexity, Papadopoulou E.
- Bioinformatics, Limongelli V.
- Computational Biology and Drug Design, Limongelli V.
- Computer Graphics, Didyk P. K.
- Data Analytics for Fraud Detection, Pasadakis D., Sathe M.
- Data Design & Modeling, Brambilla M.
- Deep Learning Lab, Vercesi E.
- Distributed Algorithms, Pedone F.
- Distributed Systems, Eugster P. T.
- Emerging Topics in Advanced Computing, Pasadakis D., Schenk O., Wit E. J.
- Engineering of Domain Specific Languages, Mocci A.
- Fourier Analysis, Giacchi G.
- Generative AI, Engelmann F.
- Geometry Processing, Hormann K.
- Graph Deep Learning, Alippi C.
- Introduction to Data Science (MSc), Wit E. J.
- Introduction to Fintech, Gruber P., Montemurro P.
- Kernel Methods, Multerer M.
- Lean Six Sigma, Rossetti P.
- Machine Learning (MSc), Wand M.
- Natural Language Processing for Software Engineering, Tonella P.
- Numerical Algorithms, Hormann K.
- Systems Security, Regazzoni F.
- User Experience Design, Landoni M., Langheinrich M.
Lecture and Laboratory
Atelier
Elective
Spring semester
Lecture
Elective
- Advanced Graphics for Visual Computing, Didyk P. K.
- Advanced Networking, Carzaniga A.
- Advanced Topics in NLP, van der Plas L.
- Business Process Modeling, Management and Mining, Pautasso C.
- Computer Architectures and Logic Design, Pozzi L.
- Computer Vision, Engelmann F.
- Data Analytics, Bucur-Cosma A. M.
- Discretization Methods, Pivkin I.
- Dynamic Program Analysis, Binder W., Rosà A.
- Geometric Algorithms, Papadopoulou E.
- Graphical Models, Wit E. J.
- Information & Physics, Wolf S.
- Introduction to Bayesian Learning, Mira A.
- Machine Learning for Software Engineering, Tonella P.
- Particle Methods, Pivkin I.
- Quantum Computing, Wolf S.
- Security Aspects of Machine Learning, Regazzoni F.
- Software Analysis, Furia C. A.
- Software Architecture, Pautasso C.
- Software Quality & Testing, Pezzè M.
- Stochastic Methods, Sulem D.
Courses 2025-2026
Fall semester
Lecture
Elective
- AI-Based Software Testing, Tonella P., De Souza Doreste A. C.
- Algorithms & Complexity, Papadopoulou E., Encz K. I., Wang Z.
- Bioinformatics, Limongelli V.
- Computational Biology and Drug Design, Limongelli V.
- Data Analytics for Fraud Detection, Pasadakis D., Sathe M.
- Data Design & Modeling, Brambilla M., Cavaleri F.
- Deep Learning Lab, Vercesi E., Dei Rossi A., Huber S., Scarciglia L.
- Distributed Algorithms, Pedone F., Martignetti L., Peykani Sani P.
- Distributed Systems, Eugster P. T., Dominici G., Mohammadpourfard A., Rovelli D.
- Emerging topics in advanced computing, Pasadakis D., Schenk O., Wit E. J.
- Engineering of Domain Specific Languages, Mocci A.
- Graph Deep Learning, Alippi C., Manenti A., Marzi T., Moretti V.
- History of Computing, Schmutterer F.
- Introduction to Data Science (MSc), Richter Mendoza F. J., Wit E. J., Lembo M.
- Introduction to Fintech, Gruber P., Jamshidiyantehrani M., Nogales González-Regueral M.
- Introduction to Fourier Analysis, Giacchi G., Avesani S.
- Lean Six Sigma, Rossetti P.
- Machine Learning (MSc), Wand M., Alcaide E., Donghi G., Toussaint G.
- Natural Language Processing for Software Engineering, Tonella P., De Souza Doreste A. C.
- Numerical Algorithms, Hormann K., Bedi N. S.
- User Experience Design, Landoni M., Langheinrich M., Tobia D. M., Zanardi I.
Lecture and Laboratory
Atelier
Elective
Other
Spring semester
Lecture
Elective
- Advanced Networking, Carzaniga A., Polverino P.
- Advanced Topics in Machine Learning, Alippi C., Maccarini M., Manenti A., Marzi T., Moretti V.
- Advanced Topics in NLP, van der Plas L., Al Housseini A., Levdik V.
- Business Process Modeling, Management and Mining, Pautasso C., Atwi H., Fawaz H.
- Computer Architectures and Logic Design, Pozzi L., Buccolini A.
- Computer Vision & Pattern Recognition, Engelmann F., Hermann N.
- Discretization Methods, Pivkin I.
- Dynamic Program Analysis, Binder W., Rosà A.
- 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.
- Machine Learning for Software Engineering, Tonella P., De Vita G.
- Optimization Methods, Sulem D., Chandra P., Scarciglia L.
- Particle Methods, Pivkin I.
- Quantum Computing, Wolf S., Laneve L.
- Software Architecture, Pautasso C., Muñoz Hurtado D. C., Riggio E.
- Software Quality & Testing, Pezzè M., Puccinelli N., Qiu K.
- Stochastic Methods, Sulem D., Dedò S., Liu W.
