Izabela Moise: Katalogdaten im Frühjahrssemester 2016
|Name||Frau Dr. Izabela Moise|
Swiss Data Science Center
ETH Zürich, UNH G 1
|Departement||Geistes-, Sozial- und Staatswissenschaften|
|851-0585-38L||Data Science in Techno-Socio-Economic Systems |
Number of participants limited to 70.
This course is thought be for students in the 5th semester or above with quantitative skills and interests in modeling and computer simulations.
Particularly suitable for students of D-INFK, D-ITET, D-MAVT, D-MTEC, D-PHYS
|3 KP||2V||E. Pournaras, D. Helbing, I. Moise|
|Kurzbeschreibung||This course introduces how techno-socio-economic systems in our nowadays digital society can be better understood with techniques and tools of data science. Students shall learn the fundamentals of data science, machine learning, but also advanced distributed real-time data analytics in the Planetary Nervous System. Students shall deliver and present a seminar thesis at the end of the course.|
|Lernziel||The goal of this course is to qualify students with knowledge on data science as a way to understand complex techno-socio-economic systems in our nowadays digital societies. This course aims to make students capable of applying the most appropriate and effective techniques of data science under different application scenarios. The course aims to engage students in exciting state-of-the-art scientific and collaboration platforms such as the Planetary Nervous System. The course shall increase the awareness level of students about the challenges and open issues of data science in socio-technical domains such as privacy. Finally students have the opportunity to develop their writing, presentation and collaboration skills based on a seminar thesis they have to deliver and present at the end of the course|