Apply for GSERM St. Gallen 2022

Please choose one course per session:

Spring Session 25 April - 10 May 2022

Course * Instructor Level ECTS
Computational Statistics Francesco Audrino A (advanced) 4

Workshop Lectures 02 - 04 June 2022

Course * Instructor Level ECTS
Workshop Lectures on Statistics with R Prof. Dr. Christian Hildebrand WL (Workshop Lectures) 0
Workshop Lectures on Applied Maths & Matrix Algebra Timothy McDaniel WL (Workshop Lectures) 0
Workshop Lectures on Regression Timothy McDaniel WL (Workshop Lectures) 0

1st Session 06 - 10 June 2022

Course * Instructor Level ECTS
Regression I - Introduction Timothy McDaniel B (basic) 4
Analyzing Unstructured Data Kunpeng Zhang M (intermediate) 4
Bayesian Data Analysis Ryan Bakker M (intermediate) 4
Case Study Methods Andrew Bennett B (basic) 4
Machine Learning with R - Introduction Brett Lantz B (basic) 4
Analyzing Panel Data Christopher Zorn A (advanced) 4
Data Scraping and Management for Social Scientists with R Reto Hofstetter B (basic) 4
Analyzing Survey Research Data Adam Enders M (intermediate) 4
Experimental Methods for Behavioral Science Gerald Häubl B (basic) 4

2nd Session 13 - 17 June 2022

Course * Instructor Level ECTS
Theoretical Aspects of Machine Learning Petyo Bonev A (advanced) 4
Qualitative Research Methods & Data Analysis Paul Mihas B (basic) 4
Network Analysis - Statistical Analysis of Social Network Data Michael Heaney M (intermediate) 4
Regression Analysis II - Linear Models Timothy McDaniel M (intermediate) 4
Machine Learning with R - Advanced Brett Lantz M (intermediate) 4
Foundations of Machine Learning and Regression Methods for Categorical Outcomes Shawna Smith A (advanced) 4
Regression for Publishing Christopher Zorn A (advanced) 4
Mediation, Moderation, and Conditional Process Analysis I Amanda Montoya M (intermediate) 4
Text Mining Edward Kwartler M (intermediate) 4
Regression Analysis for Spatial Data Roland Füss / Zeno Adams A (advanced) 4

3rd Session 20 - 24 June 2022

Course * Instructor Level ECTS
Econometrics of Big Data Christian Hansen / Martin Spindler A (advanced) 4
Mixed Methods Research Anthony J. Onwuegbuzie M (intermediate) 4
Introduction to Structural Equation Models Andreas Herrmann / Douglas Baer M (intermediate) 4
Qualitative Comparative Analysis Peer Fiss M (intermediate) 4
Basic and Advanced Multilevel Modeling with R and Stan John Poe M (intermediate) 4
Deep Learning: Fundamentals and Applications Damian Borth / Korbinian Riedhammer M (intermediate) 4
Visualizing and Communicating Data with R Michael Schulte-Mecklenbeck / Dirk Wulff B (basic) 4

Fall Session 17 - 28 October 2022

Course * Instructor Level ECTS
Causal Machine Learning Michael Lechner A (advanced) 4


Please choose which sessions you need accommodation for:


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