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