Since the TU Berlin is closed due to the situation regarding the coronavirus SARS-CoV2 (COVID-19) and all departments should continue teaching online we want to inform you about our actions:

• we will be able to provide our lectures and support online and are currently anxious to familiarize ourselves with the platforms on hand to enable a mostly hitch-free start into the new semester (more information will follow soon on our course sites, overview below)
• our lectures will already start as initially planned for the semester on 04/15/2020 (official start of semester 04/20/2020). We request you follow the lectures from this date on and to familiarize yourself with the courses' schedule on the respective course site (overview below). However, we will record all classes and provide them on the course site so students who start a week later are also more than welcome

Please do not hesitate from contacting us via our support mail, we will try to answer as quickly as possible: studentsupport@civilsystems.tu-berlin.de.

Overview of course sites (isis.tu-berlin.de):

• Circular Economy for the Built Enviroment
• Complex Civil Energy Systems Design
• Data Engineering
• Engineering Agile Systems
• Integrated Collaborative Civil Systems Engineering

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.