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Our teaching activities focus on Databases, Data Science and Big Data Analytics: We intensively employed current Big Data platforms, such as the Apache Hadoop/Pig/HIVE/HBase software stack, Spark, Giraph, GraphX, as well as MongoDB, for teaching and application development. In particular Spark offers a wealth of constantly updated Machine Learning libraries (MLlib), which we applied to a variety of data collections in the context of different student projects. The group also actively contributes to the curricula for three study programs at the Departments of Computer Science.