2017 Data Teaching Workshop

The emergence of Data Science technologies that combine Big Data and Data Analytics technologies as specialized fields in computing is motivating development of new teaching methods in course design to provide education in the techniques and technologies needed to extract knowledge from large datasets in virtualized environment. In current literature there is a lack of well-articulated learning resource for beginners that would integrate administrative, programing, and algorithm design aspects of related domains.

We believe it is important to allow students, researchers, and professionals to understand cross-domain aspects of these challenges before they embark on further exploration of these fields. The workshop will be organizationally sponsored by the Horizon2020 project, EDISON, which was funded by the European Community to coordinate Data Science curricula development in Europe and internationally. We plan to accept a small number of high-quality contributions for presentation during the workshop. At the end of the workshop, a forum discussion is planned to debate on future directions of curricula and teaching methods in Data Science, Big Data, and Cloud Computing.