Apply for GSERM St.Gallen

Please choose one course per session:


Workshop Lectures: 31 May - 02 June 2018

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


Spring Session: 5 March - 14 March 2018

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


Spring Session: 17 May - 25 May 2018

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


1st Session: 4 - 8 June 2018

Course * Instructor Level ECTS
Advanced Microeconometrics Markus Frölich R (research) 4
Case Study Methods Andrew Bennett B (basic) 4
Categorical Data Analysis Shawna Smith A (advanced) 4
Exploring Multivariate Data: Principal Components, Factor Analysis, and Multidimensional Scaling William Jacoby M (intermediate) 4
Longitudinal Data Analysis Christopher Zorn M (intermediate) 4
Machine Learning with R - Introduction Brett Lantz B (basic) 4
Model Implied Instrumental Variables - An Alternative Approach to Structural Equation Models (SEM) Kenneth Bollen A (advanced) 0
Regression I - Introduction Timothy McDaniel B (basic) 4
Spatial Econometrics Roland Füss R (research) 4
Time Series Analysis - Introduction Sara Mitchell M (intermediate) 4


2nd Session: 11 - 15 June 2018

Course * Instructor Level ECTS
Basic and Advanced Multilevel Modeling with R and Stan John Poe M (intermediate) 4
Econometrics of Big Data Christian Hansen R (research) 4
Machine Learning with R - Advanced Brett Lantz M (intermediate) 4
Mediation, Moderation, and Conditional Process Analysis I Andrew Hayes M (intermediate) 4
Meta-Analysis - Beyond Data Synthesis Marc van Essen A (advanced) 4
Network Analysis - Statistical Analysis of Social Network data Michael Heaney M (intermediate) 4
Qualitative Comparative Analysis Charles Ragin M (intermediate) 4
Regression Analysis II - Linear Models Timothy McDaniel M (intermediate) 4
Structural Equation Models I Douglas Baer M (intermediate) 4
Time Series Analysis - Advanced Methods Carsten Trenkler R (research) 4


3rd Session: 18 - 22 June 2018

Course * Instructor Level ECTS
Analyzing Unstructured Data Kunpeng Zhang M (intermediate) 4
Bayesian Data Analysis Michael Kalish M (intermediate) 4
Data Mining Hyuk Cho A (advanced) 4
Designing and Analzing Discrete Choice Experiments Benedict Dellaert M (intermediate) 4
Experimental Methods for Behavioral Science Gerhard Häubl B (basic) 4
Mediation, Moderation, and Conditional Process Analysis II Andrew Hayes A (advanced) 4
Mixed Methods Research R. Burke Johnson M (intermediate) 4
Qualitative Research Methods & Data Analysis Paul Mihas B (basic) 4
Regression: Foundations & Application Using R Brian Pollins M (intermediate) 4
Statistical Learning and Applications Christine De Mol R (research) 4
Structural Equation Models II - Advanced Methods Douglas Baer A (advanced) 4


Fall Session: 15 - 26 October 2018

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

Accommodation

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