Nino Antulov-Fantulin: Catalogue data in Spring Semester 2020

Name	Dr. Nino Antulov-Fantulin
Field	Computational Social Science
Address	Computational Social Science ETH Zürich, STD F 4 Stampfenbachstrasse 48 8092 Zürich SWITZERLAND
Telephone	+41 44 632 61 57
E-mail	nino.antulov@gess.ethz.ch
Department	Humanities, Social and Political Sciences
Relationship	Privatdozent

Number	Title	ECTS	Hours	Lecturers
851-0585-38L	Data Science in Techno-Socio-Economic Systems 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 credits	3S	N. Antulov-Fantulin
Abstract	This 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.
Learning objective	The 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.
Prerequisites / Notice	Good programming skills and a good understanding of probability & statistics and calculus are expected.