Courses
For course syllabus click on the course name.
Spring Session 26 April - 11 May 2021
| Instructor | Course | Start | End | Level | ECTS |
|---|---|---|---|---|---|
|
Francesco Audrino
|
Computational Statistics | 26 Apr 2021 | 11 May 2021 | A | 4 |
Workshop Lectures 03 - 05 June 2021
| Instructor | Course | Start | End | Level | ECTS |
|---|---|---|---|---|---|
|
William Hampton
|
Workshop Lectures on Statistics with R | 3 Jun 2021 | 5 Jun 2021 | W | 0 |
|
Timothy McDaniel
|
Workshop Lectures on Applied Maths & Matrix Algebra | 3 Jun 2021 | 5 Jun 2021 | W | 0 |
|
Timothy McDaniel
|
Workshop Lectures on Regression | 3 Jun 2021 | 5 Jun 2021 | W | 0 |
1st Session 07 - 11 June 2021
| Instructor | Course | Start | End | Level | ECTS |
|---|---|---|---|---|---|
|
Andrew Bennett
|
Case Study Methods | 7 Jun 2021 | 11 Jun 2021 | B | 4 |
|
Brett Lantz
|
Machine Learning with R - Introduction | 7 Jun 2021 | 11 Jun 2021 | B | 4 |
|
Timothy McDaniel
|
Regression I - Introduction | 7 Jun 2021 | 11 Jun 2021 | B | 4 |
|
Sara Mitchell
|
Introduction to Time Series Analysis | 7 Jun 2021 | 11 Jun 2021 | M | 4 |
|
Adam Enders
|
Analyzing Survey Research Data | 7 Jun 2021 | 11 Jun 2021 | M | 4 |
|
Michael Kalish
|
Bayesian Data Analysis | 7 Jun 2021 | 11 Jun 2021 | M | 4 |
|
Stefan Andreas Sperlich
|
Advanced Microeconometrics | 7 Jun 2021 | 11 Jun 2021 | A | 4 |
|
John Poe
|
Basic and Advanced Multilevel Modeling with R and Stan | 7 Jun 2021 | 11 Jun 2021 | M | 4 |
|
Reto Hofstetter
|
Data Scraping and Management for Social Scientists with R | 7 Jun 2021 | 11 Jun 2021 | B | 4 |
|
Shawna Smith
|
Foundations of Machine Learning and Regression Methods for Categorical Outcomes | 7 Jun 2021 | 11 Jun 2021 | A | 4 |
|
Michael Schulte-Mecklenbeck
Dirk Wulff |
Visualizing and Communicating Data with R | 7 Jun 2021 | 11 Jun 2021 | B | 4 |
2nd Session 14 - 18 June 2021
| Instructor | Course | Start | End | Level | ECTS |
|---|---|---|---|---|---|
|
Timothy McDaniel
|
Regression Analysis II - Linear Models | 14 Jun 2021 | 18 Jun 2021 | M | 4 |
|
Andreas Herrmann
Douglas Baer |
Introduction to Structural Equation Models | 14 Jun 2021 | 18 Jun 2021 | M | 4 |
|
Amanda Montoya
Andrew Hayes |
Mediation, Moderation, and Conditional Process Analysis I | 14 Jun 2021 | 18 Jun 2021 | M | 4 |
|
Gerald Häubl
|
Experimental Methods for Behavioral Science | 14 Jun 2021 | 18 Jun 2021 | B | 4 |
|
Peer Fiss
|
Qualitative Comparative Analysis | 14 Jun 2021 | 18 Jun 2021 | M | 4 |
|
Brett Lantz
|
Machine Learning with R - Advanced | 14 Jun 2021 | 18 Jun 2021 | M | 4 |
|
Martin Spindler
|
Econometrics of Big Data | 14 Jun 2021 | 18 Jun 2021 | A | 4 |
|
Kunpeng Zhang
|
Analyzing Unstructured Data | 14 Jun 2021 | 18 Jun 2021 | M | 4 |
|
Edward Kwartler
|
Text Mining | 14 Jun 2021 | 18 Jun 2021 | M | 4 |
|
Lorenz Christoph Meuli
|
Biostatistics | 14 Jun 2021 | 18 Jun 2021 | B | 4 |
|
Christopher Zorn
|
Analyzing Panel Data | 14 Jun 2021 | 18 Jun 2021 | A | 4 |
3rd Session 21 - 25 June 2021
| Instructor | Course | Start | End | Level | ECTS |
|---|---|---|---|---|---|
|
Michael Heaney
|
Network Analysis - Statistical Analysis of Social Network Data | 21 Jun 2021 | 25 Jun 2021 | M | 4 |
|
Paul Mihas
|
Qualitative Research Methods & Data Analysis | 21 Jun 2021 | 25 Jun 2021 | B | 4 |
|
Andreas Herrmann
Douglas Baer |
Advanced Structural Equation Models: Moderation, Longitudinal Data, Categorical Data | 21 Jun 2021 | 25 Jun 2021 | A | 4 |
|
Amanda Montoya
Andrew Hayes |
Mediation, Moderation, and Conditional Process Analysis II | 21 Jun 2021 | 25 Jun 2021 | A | 4 |
|
Petyo Bonev
|
Theoretical Aspects of Machine Learning | 21 Jun 2021 | 25 Jun 2021 | A | 4 |
|
Roland Füss
Zeno Adams |
Regression Analysis for Spatial Data | 21 Jun 2021 | 25 Jun 2021 | A | 4 |
|
Tasha Fairfield
|
Advanced Case Study Methods: Explicit Bayesian Process Tracing | 21 Jun 2021 | 25 Jun 2021 | A | 4 |
|
Christopher Zorn
|
Regression for Publishing | 21 Jun 2021 | 25 Jun 2021 | A | 4 |
|
Florent Baty
|
Randomized Clinical Trials: General Concepts and Statistical Aspects | 21 Jun 2021 | 25 Jun 2021 | M | 4 |
|
Damian Borth
Korbinian Riedhammer |
Deep Learning: Fundamentals and Applications | 21 Jun 2021 | 25 Jun 2021 | M | 4 |
Fall Session 18 - 29 October 2021
| Instructor | Course | Start | End | Level | ECTS |
|---|---|---|---|---|---|
|
Michael Lechner
|
Causal Machine Learning | 18 Oct 2021 | 29 Oct 2021 | A | 4 |
B = Basic | M = Intermediate | A = Advanced
Courses start at CHF 700.
Deadline for application is 30 April 2021.
See pricing for more details.
IMPORTANT Information for PhD students from University of St. Gallen only:
Please read further information in the PDF document