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TU Berlin

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Data Engineering

A massive amount of data is available that civil engineers, during their daily practice, need to make sense of and integrate in their design work. These data range from sensor based measurements of infrastrutcure and buildings, to measurements of the environment (weather, water flows), to openly available geographic data. Lately civil engineers even have started to analyse sentiment data users have left on social media platforms such as Facebook or Twitter about their experience while using civil structures.

Data engineering is the art of asking the right questions on any of these given datasets whether small or large. The goal of this module is to provide students the basic skills to answer any type of questions that might inform engineering design work based on available data sets. The module will teach basic data mining and machine learning techniques, both semantical and numerical. The module will also provide insights in data visualization techniques. Students will apply all methods and techniques on a number of data sets from the civil engineering domain using the statistical data analysis software R.



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