Apply for GSERM St. Gallen 2020

Please choose one course per session:


Spring Session: 20 - 29 April 2020

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


Workshop Lectures: 28 - 30 May 2020

Course * Instructor Level ECTS
Workshop Lectures on Statistics with R / Fri 1-4pm and 4.30-7pm, Sat 9.15am-12am Prof. Christian Hildebrand WL (Workshop Lectures) 0
Workshop Lectures on Applied Maths & Matrix Algebra / Thu 9.15am-12am and 4.30-7pm, Sat 4.30-7pm Timothy McDaniel WL (Workshop Lectures) 0
Workshop Lectures on Regression / Thu 1-4pm, Fri 9.15am-12am, Sat 1-4pm Timothy McDaniel WL (Workshop Lectures) 0


1st Session: 01 - 05 June 2020

Course * Instructor Level ECTS
Advanced Microeconometrics Markus Frölich R (research) 4
Regression I - Introduction Timothy McDaniel B (basic) 4
Analyzing Unstructured Data Kunpeng Zhang M (intermediate) 4
Basic and Advanced Multilevel Modeling with R and Stan John Poe M (intermediate) 4
Qualitative Research Methods & Data Analysis Paul Mihas B (basic) 4
Machine Learning with R - Introduction Brett Lantz B (basic) 4
Time Series Analysis - Introduction Sara Mitchell M (intermediate) 4
Foundations of Machine Learning and Regression Methods for Categorical Outcomes Shawna Smith A (advanced) 4
Introduction to Biostatistics Lorenz Christoph Meuli B (basic) 4
Data Scraping and Management for Social Scientists with R Reto Hofstetter B (basic) 4
Analyzing Survey Research Data Adam Enders M (intermediate) 4


2nd Session: 08 - 12 June 2020

Course * Instructor Level ECTS
Statistical Learning and Applications Christine De Mol R (research) 4
Structural Equation Models I Douglas Baer M (intermediate) 4
Bayesian Data Analysis Michael Kalish M (intermediate) 4
Experimental Methods for Behavioral Science Gerald Häubl 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
Case Study Methods Andrew Bennett B (basic) 4
Machine Learning with R - Advanced Brett Lantz M (intermediate) 4
Advanced Biostatistics Ding-Geng Chen A (advanced) 4
Mediation, Moderation, and Conditional Process Analysis I Andrew Hayes M (intermediate) 4
Text Mining Edward Kwartler M (intermediate) 4
Deep Learning: Fundamentals and Applications Damian Borth / Korbinian Riedhammer M (intermediate) 4


3rd Session: 15 - 19 June 2020

Course * Instructor Level ECTS
Econometrics of Big Data Martin Spindler A (advanced) 4
Structural Equation Models II - Advanced Methods Douglas Baer A (advanced) 4
Qualitative Comparative Analysis Charles Ragin M (intermediate) 4
Data Mining in Business Edward Kwartler M (intermediate) 4
Big Data in R: SQL, Spark, NoSQL Richard Cotton M (intermediate) 4
Regression for Publishing Christopher Zorn A (advanced) 4
Mediation, Moderation, and Conditional Process Analysis II Andrew Hayes A (advanced) 4
Regression Analysis for Spatial Data Roland Füss / Zeno Adams A (advanced) 4
Randomized Clinical Trials: General Concepts and Statistical Aspects Florent Baty M (intermediate) 4


Fall Session: 12 - 23 October 2020

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

Accommodation

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