TU Berlin

Civil and Building SystemsCivil and Building Systems

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Understanding urban dynamics


for re-inventing our cities and metropolies!

Analysing stochastic civil processes


to get a grip on possible futures based on historical BIG DATA!

Simulating socio-technical systems


to design civil systems that fit social and economic needs!

Modelling complex infrastructure


for sustainable life-cycle management and upgrading!

Integrated Collaborative Engineering


for integrating the most creative ideas of many highly specialized engieering disciplines!

Winter Semester 2020/2021 notice

Monday, 14. September 2020

Due to the situation regarding the coronavirus SARS-CoV2 (COVID-19) and in line with the current directives from TU Berlin, our department is preparing the a hybrid format for the classes we will provide during the winter semester 2020/2021. More details about the format will follow. here below is an overview of the classes we provide during the winter semester: 

Civil and Building Systems

Complex networks of infrastructure and building systems form the backbone of the social and economic life of the 21st century. Urban life as we know it would not be possible without transportation networks, waterway networks, pipelines, electrical grids, hospitals, or airports. Additionally, modern dwellings and office buildings form socio-technical systems with many different natural, physical, social, and cyber-physical elements that stand in complex interaction with each other. 

Because of the interactions between all these different natural, physcial, social and cyber-physical elements, engineering, constructing, and maintaining these infrastructure and building networks becomes a increasingly difficult task requiring advanced intelligent computing methods.

In response to this challenge, the chair for Systems Engineering offers an education and research program that explores such computing methods and techniques to model complex systems to support all aspects of their agile and informed design and engineering. To this end, a specific focus lies on stochastic modeling of multi-physical system processes, the parametric modeling of system components, and the support of multi-disciplinary integrated collaborative engineering work. 


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