Courses

For course syllabus click on the course name.

Spring Session: 12 - 14 March 2019 and 19 - 21 March 2019

Instructor Course Start End Level ECTS
Francesco Audrino
Computational Statistics 12 Mar 2019 21 Mar 2019 R 4

Spring Session: 7/9/10 May 2019 and 14/16/17 May 2019

Instructor Course Start End Level ECTS
Lorenzo Camponovo
Resampling Methods and Forecasting 7 May 2019 17 May 2019 R 4

Workshop Lectures / 3-day course: 30 May - 01 June 2019

Instructor Course Start End Level ECTS
William Hampton
Workshop Lectures on Statistics with R / 9.15am - 12am 30 May 2019 1 Jun 2019 W 0
Timothy McDaniel
Workshop Lectures on Applied Maths & Matrix Algebra / 1pm - 3.30pm 30 May 2019 1 Jun 2019 W 0
Timothy McDaniel
Workshop Lectures on Regression / 4pm - 7pm 30 May 2019 1 Jun 2019 W 0
Reto Hofstetter
3-day course on Data Scraping and Management for Social Scientists with R / 9.15am - 3.30pm 30 May 2019 1 Jun 2019 W 0

1st Session: 03 - 07 June 2019

Instructor Course Start End Level ECTS
Markus Frölich
Advanced Microeconometrics 3 Jun 2019 7 Jun 2019 R 4
Roland Füss
Zeno Adams
Regression Analysis for Spatial Data 3 Jun 2019 7 Jun 2019 R 4
Adam Enders
Analyzing Survey Research Data 3 Jun 2019 7 Jun 2019 M 4
Brett Lantz
Machine Learning with R - Introduction 3 Jun 2019 7 Jun 2019 B 4
Timothy McDaniel
Regression I - Introduction 3 Jun 2019 7 Jun 2019 B 4
Marc van Essen
Meta-Analysis - Beyond Data Synthesis 3 Jun 2019 7 Jun 2019 M 4
Michael Kalish
Bayesian Data Analysis 3 Jun 2019 7 Jun 2019 M 4
Paul Mihas
Qualitative Research Methods & Data Analysis 3 Jun 2019 7 Jun 2019 B 4
Michael Heaney
Network Analysis - Statistical Analysis of Social Network Data 3 Jun 2019 7 Jun 2019 M 4
Kunpeng Zhang
Analyzing Unstructured Data 3 Jun 2019 7 Jun 2019 M 4

2nd Session: 10 - 14 June 2019

Instructor Course Start End Level ECTS
Douglas Baer
Structural Equation Models I 10 Jun 2019 14 Jun 2019 M 4
Andrew Hayes
Mediation, Moderation, and Conditional Process Analysis I 10 Jun 2019 14 Jun 2019 M 4
Brett Lantz
Machine Learning with R - Advanced 10 Jun 2019 14 Jun 2019 M 4
Timothy McDaniel
Regression Analysis II - Linear Models 10 Jun 2019 14 Jun 2019 M 4
Charles Ragin
Qualitative Comparative Analysis 10 Jun 2019 14 Jun 2019 M 4
Benedict Dellaert
Bas Donkers
Designing and Analyzing Discrete Choice Experiments 10 Jun 2019 14 Jun 2019 M 4
Christine De Mol
Statistical Learning and Applications 10 Jun 2019 14 Jun 2019 R 4
Gerald Häubl
Experimental Methods for Behavioral Science 10 Jun 2019 14 Jun 2019 B 4
Brian Pollins
Regression: Foundations & Application Using R 10 Jun 2019 14 Jun 2019 M 4
John Poe
Basic and Advanced Multilevel Modeling with R and Stan 10 Jun 2019 14 Jun 2019 M 4
R. Burke Johnson
Mixed Methods Research 10 Jun 2019 14 Jun 2019 M 4
Björn Schmidtke
Andreas Herrmann
Applied Deep Learning in Python 10 Jun 2019 14 Jun 2019 M 4

3rd Session: 17 - 21 June 2019

Instructor Course Start End Level ECTS
Andrew Bennett
Case Study Methods 17 Jun 2019 21 Jun 2019 B 4
Hyuk Cho
Data Mining 17 Jun 2019 21 Jun 2019 A 4
Sara Mitchell
Time Series Analysis - Introduction 17 Jun 2019 21 Jun 2019 M 4
Shawna Smith
Categorical Data Analysis 17 Jun 2019 21 Jun 2019 A 4
Christopher Zorn
Longitudinal Data Analysis 17 Jun 2019 21 Jun 2019 M 4
Christian Hansen
Martin Spindler
Econometrics of Big Data 17 Jun 2019 21 Jun 2019 R 4
Carsten Trenkler
Time Series Analysis - Advanced Methods 17 Jun 2019 21 Jun 2019 R 4
Douglas Baer
Structural Equation Models II - Advanced Methods 17 Jun 2019 21 Jun 2019 A 4
Andrew Hayes
Mediation, Moderation, and Conditional Process Analysis II 17 Jun 2019 21 Jun 2019 A 4
Urs Fischbacher
Behavioral and Experimental Economics 17 Jun 2019 21 Jun 2019 A 4
Edward Kwartler
Text Mining 17 Jun 2019 21 Jun 2019 M 4

Fall Session: 14 - 25 October 2019

Instructor Course Start End Level ECTS
Michael Lechner
Causal Inference 14 Oct 2019 25 Oct 2019 R 4

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

Courses start at CHF 1000.
Deadline for application is 30 April 2019.
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