Nino Antulov-Fantulin: Katalogdaten im Frühjahrssemester 2020

NameHerr Dr. Nino Antulov-Fantulin
LehrgebietComputer-gestüzte Sozialwissenschaften
Adresse
Computational Social Science
ETH Zürich, STD F 4
Stampfenbachstrasse 48
8092 Zürich
SWITZERLAND
Telefon+41 44 632 61 57
E-Mailnino.antulov@gess.ethz.ch
DepartementGeistes-, Sozial- und Staatswissenschaften
BeziehungPrivatdozent

NummerTitelECTSUmfangDozierende
851-0585-38LData Science in Techno-Socio-Economic Systems Belegung eingeschränkt - Details anzeigen
Number 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
3 KP3SN. Antulov-Fantulin
KurzbeschreibungThis course introduces how techno-socio-economic systems in our complex society can be better understood with techniques and tools of data science. Students shall learn how the fundamentals of data science are used to give insights into the research of complexity science, computational social science, economics, finance, and others.
LernzielThe goal of this course is to qualify students with knowledge on data science to better understand techno-socio-economic systems in our complex 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 tools, methods and techniques of data science.
In particular, lectures will be divided into research talks and tutorials. The course shall increase the awareness level of students of the importance of interdisciplinary research. Finally, students have the opportunity to develop their own data science skills based on a data challenge task, they have to solve, deliver and present at the end of the course.
Voraussetzungen / BesonderesGood programming skills and a good understanding of probability & statistics and calculus are expected.