Corsi
Testo
- Attività formative caratterizzanti (Insegnamenti previsti distinti da quelli impartiti in insegnamenti relativi ai corsi di studio di primo e secondo livello):
- Experimental Assessment & Numerical Modeling of Seismically Isolated Structural Systems (11-22 Nov 2024)
- Introduction to Discrete Element Modelling for Structural Analysis (13-22 Jan 2025)
- Propagation of Mechanical Waves in Deformable Solids (16 Jan - 7 Mar 2025)
- Performance-Based Earthquake Engineering (5-20 Feb 2025)
- Integrated Assessment and Retrofitting of Existing Buildings (24 Feb - 6 Mar 2025)
- GEM Models, OpenQuake Engine and Tools Training (5-16 May 2025)
- Altre attività didattiche (seminari, attività di laboratorio e di ricerca, formazione interdisciplinare, multidisciplinare e transdisciplinare)
- Attività formative mutuate della Laurea Magistrale in Civil Engineering for Mitigation of Risk from Natural Hazards
- Dynamics of Structures
- Seismic Risk
- Reinforced Concrete Structures
- Steel Structures
- Applied Mathematics
- Bridge Structures
- Computational Mechanics
- Seismic Isolation and Dissipation
- Foundation Engineering and Earth Retaining Structures
- Seismic Design of Masonry Structures
- Probability and Statistics for Engineering Applications
- Engineering Seismology and Seismic Hazard Assessment
- Geotechnical Earthquake Engineering
- Advanced Structural Analysis
- Fundamentals of Seismic Design
- Continuum Mechanics
- Engineering Geology
- Lanslides Hazards and Risk
- Attività formative mutuate dai Corsi Ordinari:
- Metodi statistici e machine learning per l'analisi di big data
- Le Reti nei Sistemi Complessi
- Introduction to Climate Dynamics
- Climate change: future projections and the IPCC report
- Telerilevamento applicato allo studio dei rischi geologici
- Statistical and probabilistic methods for engineering applications
- Risk, reliability and catastrophe modelling
- Making machine learning work for science: a hands-on introduction to explainability, interpretability, causality and fairness
- Machine Learning for Imaging Data
- Paleoclimatology: reading the Past to inform the Future
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