Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

Moritz Marbach: Catalogue data in Spring Semester 2019

Name Dr. Moritz Marbach
Professur für Politikanalyse
ETH Zürich, LEH D 6
Leonhardshalde 21
8092 Zürich
DepartmentHumanities, Social and Political Sciences

857-0002-00LMethods III: Statistical Learning Restricted registration - show details
Only for MA Comparative and International Studies.
8 credits1U + 2SD. Hangartner, M. Marbach
AbstractIntroduction to methods for supervised and unsupervised learning for the social sciences.
ObjectiveThe goal of this course is provide students with an introduction to statistical learning methods. Upon completion of the course, students will have an understanding of modern computiational methods for modelling and prediction, the assumptions on which they are based, and be able to use them to address specific research questions in the social sciences.
ContentTopics include linear regression with interaction and fixed effects, binary logistic regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, principal component analysis, factor analysis, and item response theory.
LiteratureJames, Gareth, Daniela Witten, Trevor Hastie, and Robert Tibshirani. An introduction to statistical learning. Springer, 2013. (7th edition).

The PDF of the textbook is made freely and legally available by the authors and Springer press and part of the course package.
Prerequisites / NoticeMethods II