Apply for GSERM St. Gallen 2021

Please choose one course per session:


Spring Session: 26 April - 11 May 2021

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


Workshop Lectures: 03 - 05 June 2021

Course * Instructor Level ECTS
Workshop Lectures on Applied Maths & Matrix Algebra Timothy McDaniel WL (Workshop Lectures) 0
Workshop Lectures on Regression Timothy McDaniel WL (Workshop Lectures) 0
Workshop Lectures on Statistics with R William Hampton WL (Workshop Lectures) 0


1st Session: 07 - 11 June 2021

Course * Instructor Level ECTS
Case Study Methods Andrew Bennett B (basic) 4
Advanced Microeconometrics Stefan Andreas Sperlich A (advanced) 4
Data Scraping and Management for Social Scientists with R Reto Hofstetter B (basic) 4
Basic and Advanced Multilevel Modeling with Stata John Poe M (intermediate) 4
Foundations of Machine Learning and Regression Methods for Categorical Outcomes Shawna Smith A (advanced) 4
Visualizing and Communicating Data with R Michael Schulte-Mecklenbeck / Dirk Wulff B (basic) 4
Machine Learning with R - Introduction Brett Lantz B (basic) 4
Regression I - Introduction Timothy McDaniel B (basic) 4
Introduction to Time Series Analysis Sara Mitchell M (intermediate) 4
Bayesian Data Analysis Michael Kalish M (intermediate) 4
Analyzing Survey Research Data Adam Enders M (intermediate) 4


2nd Session: 14 - 18 June 2021

Course * Instructor Level ECTS
Biostatistics Lorenz Christoph Meuli B (basic) 4
Introduction to Structural Equation Models Andreas Herrmann / Douglas Baer M (intermediate) 4
Mediation, Moderation, and Conditional Process Analysis I Amanda Montoya / Andrew Hayes M (intermediate) 4
Analyzing Panel Data Christopher Zorn A (advanced) 4
Machine Learning with R - Advanced Brett Lantz M (intermediate) 4
Regression Analysis II - Linear Models Timothy McDaniel M (intermediate) 4
Econometrics of Big Data Martin Spindler A (advanced) 4
Qualitative Comparative Analysis Peer Fiss M (intermediate) 4
Experimental Methods for Behavioral Science Gerald Häubl B (basic) 4
Analyzing Unstructured Data Kunpeng Zhang M (intermediate) 4
Text Mining Edward Kwartler M (intermediate) 4


3rd Session: 21 - 25 June 2021

Course * Instructor Level ECTS
Randomized Clinical Trials: General Concepts and Statistical Aspects Florent Baty M (intermediate) 4
Advanced Case Study Methods: Explicit Bayesian Process Tracing Tasha Fairfield A (advanced) 4
Regression Analysis for Spatial Data Roland Füss / Zeno Adams A (advanced) 4
Deep Learning: Fundamentals and Applications Damian Borth / Korbinian Riedhammer M (intermediate) 4
Theoretical Aspects of Machine Learning Petyo Bonev A (advanced) 4
Regression for Publishing Christopher Zorn A (advanced) 4
Advanced Structural Equation Models: Moderation, Longitudinal Data, Categorical Data Andreas Herrmann / Douglas Baer 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
Mediation, Moderation, and Conditional Process Analysis II Amanda Montoya / Andrew Hayes A (advanced) 4


Fall Session: 11 - 22 October 2021

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

Accommodation

Please choose which sessions you need accommodation for:


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