Bruno Sudret: Catalogue data in Spring Semester 2025 |
| Name | Prof. Dr. Bruno Sudret |
| Name variants | Bruno Sudret B. Sudret |
| Field | Risk, Safety and Uncertainty Quantification in Civil Engineering |
| Address | Risiko, Sich., Ungew. im Bauing.w. ETH Zürich, HIL E 22.3 Stefano-Franscini-Platz 5 8093 Zürich SWITZERLAND |
| Telephone | +41 44 633 04 44 |
| sudret@ethz.ch | |
| URL | http://www.rsuq.ethz.ch |
| Department | Civil, Environmental and Geomatic Engineering |
| Relationship | Full Professor |
| Number | Title | ECTS | Hours | Lecturers | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 101-0701-00L | Scientific Computing  | 4 credits | 4G | B. Sudret, N. Lüthen | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | After this course, the students are able to write MATLAB code to solve a relevant engineering problem based on provided equations, pseudocode, or a written description of the algorithm. In particular, they are able to: • Choose and apply suitable numerical techniques to solve ◦ systems of linear equations, ◦ systems of ordinary differential equations (ODEs), ◦ partial differential equations (PDEs), in 1D or in rectangular domains, and ◦ optimization problems • Calibrate a computer model with given data • Debug and extend existing code • Create and interpret convergence plots • Recognize, explain, and address common issues in numerics such as stability, discretization, cost-accuracy trade-off, curse of dimensionality • Version code using git, and submit jobs on high performance computing facilities | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | The course is structured into four modules, each consisting of lectures, exercises, and a mini-project. 1. All about matrices: Properties, solving linear systems of equations, matrix decompositions, eigenvalue decomposition, singular value decomposition 2. Ordinary differential equations: Finite difference method, order of accuracy, discretization error, explicit vs. implicit schemes 3. Partial differential equations: Shooting method, finite difference method, introduction to finite elements in 1D 4. Optimization: Root finding, optimization in 1D, types of optimization problems, calibration, using a supercomputer The course uses the programming language MATLAB. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Lecture materials are provided on Moodle. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Optional resource: Steven C. Chapra. Applied numerical methods with MATLAB for Engineers and Scientists. McGraw-Hill, 2018. ISBN 9781264162604. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Competencies |
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 101-1187-10L | Colloquium in Structural Engineering (Spring Semester) | 1 credit | 1K | A. Taras, E. Chatzi, A. Frangi, W. Kaufmann, B. Stojadinovic, B. Sudret | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Learn about recent research results in structural engineering. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Learn about recent research results and novel practical applications & methods in structural engineering. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 364-1058-00L | Risk Center Seminar Series Does not take place this semester. | 0 credits | 2S | A. Bommier, D. N. Bresch, S. Brusoni, L.‑E. Cederman, P. Cheridito, F. Corman, H. Gersbach, C. Hölscher, K. Paterson, G. Sansavini, B. Stojadinovic, B. Sudret, J. Teichmann, R. Wattenhofer, U. A. Weidmann, S. Wiemer, R. Zenklusen | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | In this series of seminars, invited speakers discuss various topics in the area of risk modelling, governance of complex socio-economic systems, managing risks and crises, and building resilience. Students, PhD students, post-docs, faculty and individuals outside ETH are welcome. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Participants gain insights in a broad range of risk- and resilience-related topics. They expand their knowledge of the field and deepen their understanding of the complexity of our social, economic and engineered systems. For young researchers in particular, the seminars offer an opportunity to learn academic presentation skills and to network with an interdisciplinary scientific audience. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Academic presentations from ETH faculty as well as external researchers. Each seminar is followed by a Q&A session and (when permitted) a networking Apéro. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | The sessions are recorded whenever possible and posted on the ETH Risk Center webpage. If available, presentation slides are shared as well. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Each speaker will provide a literature review. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | In most cases, a quantitative background is required. Depending on the topic, field-specific knowledge may be required. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Competencies |
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||