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 (13-24 Oct 2025)
- Research based innovation (24 Nov - 3 Dec 2025)
- Performance-Based Earthquake Engineering (14-29 Jan 2026)
- Propagation of Mechanical Waves in Deformable Solids (15 Jan - 6 Mar 2026)
- Introduction to Discrete Element Modelling for Structural Analysis (2-11 Feb 2026)
- Fundamentals of Probability Theory (16-27 Feb 2026)
- Beyond Seismic Safety - Sustainable Retrofit Design (23 Feb - 6 Mar 2026)
- Dynamic Analysis of Structures (13-24 Apr 2026)
- Seismic Design of Steel Structures (13-24 Jul 2026)
- GEM Models, OpenQuake Engine and Tools Training: Vulnerability Modelling (July 2026)
- Seismic Assessment of Masonry Structures (7-18 Sep 2026)
- Altre attività didattiche (seminari, attività di laboratorio e di ricerca, formazione interdisciplinare, multidisciplinare e transdisciplinare)
- Attività formative mutuate dalla 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
- Masonry 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