High Performance Computing Engineering — Politecnico di Milano, Milano

Il piano degli esami

1° anno

• Parallel computing — 5 CFU
• Advanced methods for scientific computing — 5 CFU
• Numerical linear algebra — 5 CFU
• Numerical methods for partial differential equations — 5 CFU
• Quantum physics — 5 CFU
• Quantum computing — 5 CFU
• Software engineering for hpc — 5 CFU
• Advanced computer architectures — 5 CFU
• Computing infrastructures — 5 CFU
• Applied statistics — 5 CFU
• Gruppo MATH-PHYS-TLC (scegli 10 CFU): Bayesian statistics 10 CFU; Computational statistics 5 CFU; Fondamenti di ricerca operativa 5 CFU; Foundations of operations research 5 CFU; Nonparametric statistics 5 CFU; Numerical analysis for machine learning 10 CFU; Quantum circuits and devices 5 CFU; Bayesian learning and montecarlo simulation 5 CFU; Network computing 5 CFU; Photonic computing 5 CFU; Quantum communications 5 CFU; Quantum optics and information 5 CFU; Scientific computing tools for advanced mathematical modelling 5 CFU

2° anno

• Artificial neural networks and deep learning — 5 CFU
• Systems and methods for big and unstructured data — 5 CFU
• Thesis and final exam — 20 CFU
• Gruppo ICT (scegli 10 CFU): Basi di dati 1 5 CFU; Complessità nei sistemi e nelle reti 5 CFU; Distributed systems 5 CFU; Embedded systems 5 CFU; Networked software for distributed systems 5 CFU; Performance evaluation and applications 5 CFU; Streaming data analytics 5 CFU; System identification and prediction 5 CFU; Advanced deep learning 5 CFU; Code transformation and optimization 5 CFU; Computer security - uic 587 5 CFU; Machine learning 5 CFU; Mathematical models and methods for image processing 5 CFU
• Gruppo MULTIDISCIPLINARY APPLICATIONS (scegli 20 CFU): Applied cfd for industrial engineering 5 CFU; Biomolecular modelling laboratory 5 CFU; Computational biomechanics laboratory 5 CFU; High performance scientific computing in aerospace 10 CFU; High performance simulation lab for mechanical engineering 10 CFU; Hpc applications for sustainable use of subsurface energy resources 10 CFU; Advanced mathematical models in finance 5 CFU; Fintech 5 CFU; Molecular modeling in process engineering 5 CFU; Molecular modeling of materials 5 CFU; Thermal management for information technologies 5 CFU