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

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

Courses start at CHF 1100.
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

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