DSfD Faglig dag 2017: An Introduction to Data Science

At the annual Faglig Dag event, organised by Dansk Selskab for Datalogi, the focus will be on the discipline of Data Science. Three selected speakers will provide an introduction to the subject followed by example applications from their respective domains.

Please note: The presentations will be given in English.

Preliminary program

  • A Short Introduction to Data Science, by assistant professor Fabian Gieseke, DIKU
    The field of data science has gained considerable attention over the past years. One reason for this phenomenon is the fact that the data volumes in various domains have increased dramatically. This is the case, for instance, in astronomy, where current projects produce data volumes in the terabyte range. Upcoming ones will produce such data volumes per day, week, or even per hour. A similar "data flood" can be observed in many other disciplines including medicine, biology, finance, business intelligence, energy systems, or social media. In most cases, the sheer data volumes render a manual analysis impossible. Data science techniques aims at extracting knowledge in an automatic manner and have been identified as one of the key drivers for future discoveries and innovation. The presentation will give a quick introduction to this field and will cover various topics including big data, data science problems, data science workflow, and large-scale data analysis.
  • Business Applications of Data analytics, by assistant professor Raghava Rao Mukkamala, CBS
    [Description to appear]
  • Medical Applications of Data Analytics, by professor Mads Nielsen,DIKU
    [Description to appear]

A description of the last two presentations will appear later.
Moreover, we hope to present some suggested further readings as well as examples of offered or planned courses on the subject.

Updates and more information can be found here: https://sites.google.com/site/dsfdweb/arrangementer

For practical reasons, if you expect to participate please register at Doodle no later than 19 April.