Malka Guillot: Katalogdaten im Frühjahrssemester 2021

NameFrau Dr. Malka Guillot
URLhttps://lawecon.ethz.ch/group/scientific-team/guillot.html
DepartementGeistes-, Sozial- und Staatswissenschaften
BeziehungDozentin

NummerTitelECTSUmfangDozierende
860-0033-00LBig Data for Public Policy Information Belegung eingeschränkt - Details anzeigen
Nur für Masterstudierende und Doktorierende.
3 KP2GE. Ash, M. Guillot
KurzbeschreibungThis course provides an introduction to big data methods for public policy analysis. Students will put these techniques to work on a course project using real-world data, to be designed and implemented in consultation with the instructors.
LernzielMany policy problems involve prediction. For example, a budget office might want to predict the number of applications for benefits payments next month, based on labor market conditions this month. This course provides a hands-on introduction to the "big data" techniques for making such predictions.
InhaltMany policy problems involve prediction. For example, a budget office might want to predict the number of applications for benefits payments next month, based on labor market conditions this month. This course provides a hands-on introduction to the "big data" techniques for making such predictions. These techniques include:

-- procuring big datasets, especially through web scraping or API interfaces, including social media data;
-- pre-processing and dimension reduction of massive datasets for tractable computation;
-- machine learning for predicting outcomes, including how to select and tune the model, evaluate model performance using held-out test data, and report results;
-- interpreting machine learning model predictions to understand what is going on inside the black box;
-- data visualization including interactive web apps.

Students will put these techniques to work on a course project using real-world data, to be designed and implemented in consultation with the instructors.