851-0585-38L  Data Science in Techno-Socio-Economic Systems

SemesterFrühjahrssemester 2019
DozierendeE. Pournaras, T. Guo, D. Helbing
Periodizitätjährlich wiederkehrende Veranstaltung
LehrspracheEnglisch
KommentarNumber of participants limited to 80

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



Lehrveranstaltungen

NummerTitelUmfangDozierende
851-0585-38 VData Science in Techno-Socio-Economic Systems2 Std.
Di17:15-19:00HG D 5.2 »
E. Pournaras, T. Guo, D. Helbing

Katalogdaten

KurzbeschreibungThis 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.
LernzielThe 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

Leistungskontrolle

Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird)
Leistungskontrolle als Semesterkurs
ECTS Kreditpunkte3 KP
PrüfendeE. Pournaras, T. Guo, D. Helbing
Formbenotete Semesterleistung
PrüfungsspracheEnglisch
RepetitionRepetition nur nach erneuter Belegung der Lerneinheit möglich.

Lernmaterialien

Keine öffentlichen Lernmaterialien verfügbar.
Es werden nur die öffentlichen Lernmaterialien aufgeführt.

Gruppen

Keine Informationen zu Gruppen vorhanden.

Einschränkungen

PlätzeMaximal 80
WartelisteBis 03.03.2019

Angeboten in

StudiengangBereichTyp
GESS Wissenschaft im Kontext (Science in Perspective)D-INFKWInformation
GESS Wissenschaft im Kontext (Science in Perspective)D-ITETWInformation
GESS Wissenschaft im Kontext (Science in Perspective)SoziologieWInformation
GESS Wissenschaft im Kontext (Science in Perspective)D-MTECWInformation
GESS Wissenschaft im Kontext (Science in Perspective)D-MAVTWInformation
GESS Wissenschaft im Kontext (Science in Perspective)D-PHYSWInformation
Science, Technology, and Policy MasterWahlfächerWInformation