Corsi
- RESEARCH BASED INNOVATION Anno di offerta 2025 - 10 ore
- PERFORMANCE-BASED EARTHQUAKE ENGINEERING Anno di offerta 2025 - 48 ore
- INTRODUCTION TO DISCRETE ELEMENT MODELLING FOR STRUCTURAL ANALYSIS Anno di offerta 2025 - 24 ore
- DISPLACEMENT-BASED DESIGN AND ASSESSMENT OF LOW-DAMAGE BUILDINGS Anno di offerta 2025 - 24 ore
- INTEGRATED SEISMIC AND ENERGY RETROFITTING OF EXISTING BUILDINGS Anno di offerta 2025 - 60 ore
- GEM MODELS, OPENQUAKE ENGINE AND TOOLS TRAINING Anno di offerta 2025 - 24 ore
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 (13-24 Ott 2025)
- Research based innovation (24 Nov - 3 Dec 2025)
- Performance-Based Earthquake Engineering (14-29 Gen 2026)
- Propagation of Mechanical Waves in Deformable Solids (15 Gen - 6 Mar 2026)
- Introduction to Discrete Element Modelling for Structural Analysis (Feb 2026)
- Beyond Seismic Safety - Sustainable Retrofit Design (23 Feb - 6 Mar 2026)
- GEM Models, OpenQuake Engine and Tools Training: Vulnerability Modelling (July 2026)
- 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
- Reinforced Concrete Structures
- Steel Structures
- Applied Mathematics
- Bridge Structures
- Computational Mechanics
- Seismic Isolation and Dissipation
- Foundation Engineering and Earth Retaining Structures
- Nonlinear Response Analysis
- Probability and Statistics for Engineering Applications
- Engineering Seismology and Seismic Hazard Assessment
- Geotechnical Earthquake Engineering
- Fundamentals of Seismic Design
- Masonrsy Structures
- Risk Assessment and Loss Estimation
- Attività formative mutuate dai Corsi Ordinari:
- Statistical and probabilistic methods for engineering applications
- Understanding Catastrophe Risk: Modelling, Management, and Reinsurance
- Machine Learning for Imaging Data
- Computational methods for biostatistics
- Modelling and control of large interacting systems: emerging phenomena and data-oriented approaches
- Laboratory of machine learning for the empirical sciences
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