Education

Structural Reliability and Risk Analysis

Structural reliability aims at quantifying the probability of failure of systems due to uncertainties in their design, manufacturing and environmental conditions. Risk analysis combines this information with the consequences of failure in view of optimal decision making. The course presents the underlying probabilistic modelling and computational methods for reliability and risk assessment.

Uncertainty Quantification in Engineering

Uncertainty quantification aims at studying the impact of aleatory- (e.g. natural variability) or epistemic uncertainty onto computational models used in science and engineering. The course introduces the basic concepts of uncertainty quantification: probabilistic modelling of data, uncertainty propagation techniques (polynomial chaos expansions), and sensitivity analysis.

Programming for Engineers

Programming for Engineers is a hands-on introduction to programming with Matlab and Python, oriented at the needs of first-semester civil engineering students. The course is held in a novel format comprising 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.

Structural mechanics I (Baustatik I)

Structural mechanics I aims at modelling real civil engineering structures through static methods by idealizing the geometry and loads to compute the flow of forces from their contact points to the foundations. The taught calculation methods ultimately allow the design of structural components so that their load-bearing capacity meets the posed requirements. Structural mechanics is based on the principles of structural mechanics (forces, moments, reactions and connections), continuum mechanics (deformations, theory of elasticity) and classical mathematical methods (differential equations) to solve such problems.

Structural mechanics (Baustatik) for Environmental Engineers

Structural mechanics for environmental engineers is a half semester course based on the Structural mechanics I lecture. It aims at introducing environmental engineers to the modelling of civil engineering structures through static methods.

Uncertainty Quantification & Data Analysis in Applied Sciences

Uncertainty quantification & data analysis in applied sciences is a 9 day block course for doctoral students. It presents fundamental concepts and advanced methodologies for handling and interpreting data in relation with models. It elaborates on methods and tools for identifying, quantifying and propagating uncertainty through models of systems with applications in various fields of engineering and applied science.

Student projects

Student projects including master theses and semester projects are an important part of the curriculum of our Bachelor and Master's degrees in civil engineering. Interested students can apply to a list of different projects that are offered every semester.