Vorausschauender Umgang mit Naturgefahrenrisiken im Klimawandel I/II; Plenarveranstaltung 'Von der Gefahrenabwehr zur Risikokultur'; Plenarveranstaltung 'Klimawandel/Naturgefahren und Bevölkerungsschutz'; Interdisziplinäres Praxisprojekt; Abschlussexkursion nach Brienz/Brinzauls in der Gemeinde Albula/Alvra sowie Bondo und Soglio in der Gemeinde Bergell (chron., Änd. vorbehalten)

Professors from national and international universities, technical experts from the industry as well as research associates of the institute of structural engineering (IBK) are invited to present recent research results and specific projects from the practice. This colloquium is adressed to members of universities, practicing engineers and interested persons in general.

Professors from national and international universities, technical experts from the industry as well as research associates of the institute of structural engineering (IBK) are invited to present recent research results and specific projects from the practice. This colloquium is adressed to members of universities, practicing engineers and interested persons in general.

Meteorol.-klimat. NG; GIN-Schulung; glaziol. NG; Rapid Mapping; klimaangepasstes Wassermanagement, Oberflächenabfluss, blau-grüne Infrastrukturen; NG-Warnung des SLF; Fernerkundung mit Drohnen; Geosensorik für das Monitoring gravitativer Naturgefahren; Integrales RM ausserhalb der Komfortzone (Exkursion nach Mitholz, Kandersteg und zum Spitze Stei am Oeschinensee) (chron., Änd. vorbehalten)

Tektonische NG; Klimawandel: Ursachen und Auswirkungen; Wetter- und Klimaextreme; Hydrologie und Klimafolgen; atm. Vorhersagbarkeit; Waldbrand und seine Folgen; NG im Gebirgspermafrost; Seismogene Prozesse; Digitalisierung im Umgang mit NG; Grundlagen zu HWS-Konzepten und Laborführung an der Versuchsanstalt für Wasserbau, Hydrologie und Glaziologie der ETH Zürich (chron., Änd. vorbehalten)

Current research in machine learning and data science within the research fields of the department. The goal is to learn about current research projects at our department, to strengthen our expertise and collaboration with respect to data-driven models and methods, to provide a platform where research challenges can be discussed, and also to practice scientific presentations.

RM in der Aviatik/Medizin; Exk. HWS Zürich; Umgang mit Risiken aus NG in der Schweiz: Reise zum akzeptierten Risiko; NG-Risikoabschätzung und Resilienz; Naturkatastrophen und Klima aus Sicht der Versicherung; Rechtl. Aspekte; Unwetter 2024: Der neue Normalfall?; Unsicherheiten bei der Gefahrenbeurteilung; Cengalo, Bondo und Brienz/Brinzauls: Ereignisbewältigung und RM (chron., Änd. vorbehalten)

Module 2 gives insight in both performance and risk based design concepts and principals. The students learn basic and advanced statistics and apply the tools to develop performance and risk based fire safety solutions.

This course is a hands-on introduction to programming with Matlab and Python, oriented at the needs of civil engineers. The course comprises self-paced tutorials, a project consisting of implementing an engineering application including graphical user interface, and individual meetings with teaching assistants to demonstrate understanding and progress.

Numerical simulation is an essential tool in modern engineering. The course "Scientific Computing" provides Civil Engineering students with both theoretical knowledge of the most important numerical methods and practical experience in implementing them using MATLAB. A mix of lectures, exercises, and project work ensures students can apply these methods to solve real-world engineering problems.

Introduction to structural mechanics, statically determinate beams and frame structures, trusses, stresses and deformations, statically indeterminate beams and frame structures (force method)

This course offers the foundation to advanced consideration for structural analysis. This includes the solution of indeterminate systems via use of the Deformation Method and Matric Structural Analysis, as well as the solution of systems with nonlinear material behavior (e.g. due to plasticity).

Introduction to structural mechanics, statically determinate beams and frame structures, trusses. Stresses in statically determinate structures.

Uncertainty quantification aims at studying the impact of aleatory and epistemic uncertainty onto computational models used in science and engineering. The course introduces the basic concepts of uncertainty quantification: probabilistic modelling of data (copula theory), uncertainty propagation and surrogates (Monte Carlo, polynomial chaos, Gaussian processes), and sensitivity analysis.