Apply for GSERM St. Gallen 2019

Please choose one course per session:


Spring Session: 12 - 14 March 2019 and 19 - 21 March 2019

Course * Instructor Level ECTS
Computational Statistics Francesco Audrino R (research) 4


Spring Session: 7/9/10 May 2019 and 14/16/17 May 2019

Course * Instructor Level ECTS
Resampling Methods and Forecasting Lorenzo Camponovo R (research) 4


Workshop Lectures / 3-day course: 30 May - 01 June 2019

Course * Instructor Level ECTS
Workshop Lectures on Statistics with R / 09.15am - 12am William Hampton WL (Workshop Lectures) 0
Workshop Lectures on Applied Maths & Matrix Algebra / 1pm - 3.30pm Timothy McDaniel WL (Workshop Lectures) 0
Workshop Lectures on Regression / 4pm - 7pm Timothy McDaniel WL (Workshop Lectures) 0
3-day course on Data Scraping and Management for Social Scientists with R Reto Hofstetter WL (Workshop Lectures) 0


1st Session: 03 - 07 June 2019

Course * Instructor Level ECTS
Advanced Microeconometrics Markus Frölich R (research) 4
Regression Analysis for Spatial Data Roland Füss / Zeno Adams R (research) 4
Analyzing Survey Research Data Adam Enders M (intermediate) 4
Machine Learning with R - Introduction Brett Lantz B (basic) 4
Regression I - Introduction Timothy McDaniel B (basic) 4
Meta-Analysis - Beyond Data Synthesis Marc van Essen M (intermediate) 4
Bayesian Data Analysis Michael Kalish M (intermediate) 4
Qualitative Research Methods & Data Analysis Paul Mihas B (basic) 4
Network Analysis - Statistical Analysis of Social Network Data Michael Heaney M (intermediate) 4
Analyzing Unstructured Data Kunpeng Zhang M (intermediate) 4


2nd Session: 10 - 14 June 2019

Course * Instructor Level ECTS
Structural Equation Models I Douglas Baer M (intermediate) 4
Mediation, Moderation, and Conditional Process Analysis I Andrew Hayes M (intermediate) 4
Machine Learning with R - Advanced Brett Lantz M (intermediate) 4
Regression Analysis II - Linear Models Timothy McDaniel M (intermediate) 4
Qualitative Comparative Analysis Charles Ragin M (intermediate) 4
Designing and Analyzing Discrete Choice Experiments Benedict Dellaert / Bas Donkers M (intermediate) 4
Statistical Learning and Applications Christine De Mol R (research) 4
Experimental Methods for Behavioral Science Gerald Häubl B (basic) 4
Regression: Foundations & Application Using R Brian Pollins M (intermediate) 4
Basic and Advanced Multilevel Modeling with R and Stan John Poe M (intermediate) 4
Mixed Methods Research R. Burke Johnson M (intermediate) 4
Applied Deep Learning in Python Björn Schmidtke / Andreas Herrmann M (intermediate) 4


3rd Session: 17 - 21 June 2019

Course * Instructor Level ECTS
Case Study Methods Andrew Bennett B (basic) 4
Data Mining Hyuk Cho A (advanced) 4
Time Series Analysis - Introduction Sara Mitchell M (intermediate) 4
Categorical Data Analysis Shawna Smith A (advanced) 4
Longitudinal Data Analysis Christopher Zorn M (intermediate) 4
Econometrics of Big Data Christian Hansen / Martin Spindler R (research) 4
Time Series Analysis - Advanced Methods Carsten Trenkler R (research) 4
Structural Equation Models II - Advanced Methods Douglas Baer A (advanced) 4
Mediation, Moderation, and Conditional Process Analysis II Andrew Hayes A (advanced) 4
Behavioral and Experimental Economics Urs Fischbacher A (advanced) 4
Text Mining Edward Kwartler M (intermediate) 4


Fall Session: 14 - 25 October 2019

Course * Instructor Level ECTS
Causal Inference Michael Lechner R (research) 4

Accommodation

Please choose which sessions you need accommodation for:


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