Courses

For course syllabus click on the course name.

Spring Session: 20 - 29 April 2020

Instructor Course Start End Level ECTS
Francesco Audrino
Computational Statistics 20 Apr 2020 29 Apr 2020 R 4

Workshop Lectures: 28 - 30 May 2020

Instructor Course Start End Level ECTS
Christian Hildebrand
Workshop Lectures on Statistics with R / Fri 1-4pm and 4.30-7pm, Sat 9.15am-12am 29 May 2020 30 May 2020 W 0
Timothy McDaniel
Workshop Lectures on Applied Maths & Matrix Algebra / Thu 9.15am-12am and 4.30-7pm, Sat 4.30-7pm 28 May 2020 30 May 2020 W 0
Timothy McDaniel
Workshop Lectures on Regression / Thu 1-4pm, Fri 9.15am-12am, Sat 1-4pm 28 May 2020 30 May 2020 W 0

1st Session: 01 - 05 June 2020

Instructor Course Start End Level ECTS
Markus Frölich
Advanced Microeconometrics 1 Jun 2020 5 Jun 2020 R 4
Timothy McDaniel
Regression I - Introduction 1 Jun 2020 5 Jun 2020 B 4
Kunpeng Zhang
Analyzing Unstructured Data 1 Jun 2020 5 Jun 2020 M 4
John Poe
Basic and Advanced Multilevel Modeling with R and Stan 1 Jun 2020 5 Jun 2020 M 4
Paul Mihas
Qualitative Research Methods & Data Analysis 1 Jun 2020 5 Jun 2020 B 4
Brett Lantz
Machine Learning with R - Introduction 1 Jun 2020 5 Jun 2020 B 4
Sara Mitchell
Time Series Analysis - Introduction 1 Jun 2020 5 Jun 2020 M 4
Shawna Smith
Foundations of Machine Learning and Regression Methods for Categorical Outcomes 1 Jun 2020 5 Jun 2020 A 4
Lorenz Christoph Meuli
Introduction to Biostatistics 1 Jun 2020 5 Jun 2020 B 4
Reto Hofstetter
Data Scraping and Management for Social Scientists with R 1 Jun 2020 5 Jun 2020 B 4
Adam Enders
Analyzing Survey Research Data 1 Jun 2020 5 Jun 2020 M 4

2nd Session: 08 - 12 June 2020

Instructor Course Start End Level ECTS
Christine De Mol
Statistical Learning and Applications 8 Jun 2020 12 Jun 2020 R 4
Douglas Baer
Structural Equation Models I 8 Jun 2020 12 Jun 2020 M 4
Michael Kalish
Bayesian Data Analysis 8 Jun 2020 12 Jun 2020 M 4
Gerald Häubl
Experimental Methods for Behavioral Science 8 Jun 2020 12 Jun 2020 B 4
Michael Heaney
Network Analysis - Statistical Analysis of Social Network Data 8 Jun 2020 12 Jun 2020 M 4
Timothy McDaniel
Regression Analysis II - Linear Models 8 Jun 2020 12 Jun 2020 M 4
Andrew Bennett
Case Study Methods 8 Jun 2020 12 Jun 2020 B 4
Brett Lantz
Machine Learning with R - Advanced 8 Jun 2020 12 Jun 2020 M 4
Ding-Geng Chen
Advanced Biostatistics 8 Jun 2020 12 Jun 2020 A 4
Andrew Hayes
Mediation, Moderation, and Conditional Process Analysis I 8 Jun 2020 12 Jun 2020 M 4
Edward Kwartler
Text Mining 8 Jun 2020 12 Jun 2020 M 4
Damian Borth
Korbinian Riedhammer
Deep Learning: Fundamentals and Applications 8 Jun 2020 12 Jun 2020 M 4

3rd Session: 15 - 19 June 2020

Instructor Course Start End Level ECTS
Martin Spindler
Econometrics of Big Data 15 Jun 2020 19 Jun 2020 R 4
Douglas Baer
Structural Equation Models II - Advanced Methods 15 Jun 2020 19 Jun 2020 A 4
Charles Ragin
Qualitative Comparative Analysis 15 Jun 2020 19 Jun 2020 M 4
Edward Kwartler
Data Mining in Business 15 Jun 2020 19 Jun 2020 M 4
Richard Cotton
Big Data in R: SQL, Spark, NoSQL 15 Jun 2020 19 Jun 2020 M 4
Christopher Zorn
Regression for Publishing 15 Jun 2020 19 Jun 2020 A 4
Andrew Hayes
Mediation, Moderation, and Conditional Process Analysis II 15 Jun 2020 19 Jun 2020 A 4
Roland Füss
Zeno Adams
Regression Analysis for Spatial Data 15 Jun 2020 19 Jun 2020 R 4
Florent Baty
Randomized Clinical Trials: General Concepts and Statistical Aspects 15 Jun 2020 19 Jun 2020 M 4

Fall Session: 12 - 23 October 2020

Instructor Course Start End Level ECTS
Michael Lechner
Causal Machine Learning 12 Oct 2020 23 Oct 2020 A 4

In conjunction with our instructors, we have decided that the GSERM St. Gallen 2020 programme will be offered online only. All 2020 courses remain open for registration.

In light of this change, we are also reducing the fees for the June session. Please check in the pricing section.

We understand that some participants were looking forward to visiting Switzerland and joining in a course in-person and may not be satisfied with remote instructions. For participants who wish to cancel and do so until 3 April 2020 we will refund all fees, both for classes and accommodation. Please see our adapted cancellation policy.

At present, we are in process of contacting the instructors to ascertain their willingness to offer their classes online. Some of the course content does not work for online training. We are also working on solutions for these cases. By End April we will be able to present a final scenario.

We understand that networking during GSERM and participating in the social activities we ordinarily offer have been important parts of the whole programme.

We will post updates on our website as well as on our Facebook and Linkedin channels. Please reach out to us at gserm@unisg.ch if you have any questions or concerns.

 

B = Basic | M = Intermediate | A = Advanced | R = Research

Courses start at CHF 800.
Deadline for application is 30 April 2020.
See pricing for more details.

IMPORTANT Information for PhD students from University of St. Gallen only:
Please read further information in the PDF document

Apply now