Courses
For course syllabus click on the course name.
Spring Session: 25 April - 10 May 2022
| Instructor | Course | Start | End | Level | ECTS |
|---|---|---|---|---|---|
|
Francesco Audrino
|
Computational Statistics | 25 Apr 2022 | 10 May 2022 | A | 4 |
Workshop Lectures: 02 - 04 June 2022
| Instructor | Course | Start | End | Level | ECTS |
|---|---|---|---|---|---|
|
William Hampton
|
Workshop Lectures on Statistics with R | 2 Jun 2022 | 4 Jun 2022 | W | 0 |
|
Timothy McDaniel
|
Workshop Lectures on Applied Maths & Matrix Algebra | 2 Jun 2022 | 4 Jun 2022 | W | 0 |
|
Timothy McDaniel
|
Workshop Lectures on Regression | 2 Jun 2022 | 4 Jun 2022 | W | 0 |
1st Session: 06 - 10 June 2022
| Instructor | Course | Start | End | Level | ECTS |
|---|---|---|---|---|---|
|
Timothy McDaniel
|
Regression I - Introduction | 6 Jun 2022 | 10 Jun 2022 | B | 4 |
|
Kunpeng Zhang
|
Analyzing Unstructured Data | 6 Jun 2022 | 10 Jun 2022 | M | 4 |
|
Ryan Bakker
|
Bayesian Data Analysis | 6 Jun 2022 | 10 Jun 2022 | M | 4 |
|
Andrew Bennett
|
Case Study Methods | 6 Jun 2022 | 10 Jun 2022 | B | 4 |
|
Brett Lantz
|
Machine Learning with R - Introduction | 6 Jun 2022 | 10 Jun 2022 | B | 4 |
|
Christopher Zorn
|
Analyzing Panel Data | 6 Jun 2022 | 10 Jun 2022 | A | 4 |
|
Reto Hofstetter
|
Data Scraping and Management for Social Scientists with R | 6 Jun 2022 | 10 Jun 2022 | B | 4 |
|
Adam Enders
|
Analyzing Survey Research Data | 6 Jun 2022 | 10 Jun 2022 | M | 4 |
|
Gerald Häubl
|
Experimental Methods for Behavioral Science | 6 Jun 2022 | 10 Jun 2022 | B | 4 |
|
Stefan Andreas Sperlich
|
Topics in Advanced Microeconometrics | 6 Jun 2022 | 10 Jun 2022 | A | 4 |
|
Jan Dul
Nicole Richter |
Necessary Conditions Analysis: Theory and Applications | 6 Jun 2022 | 10 Jun 2022 | B | 4 |
2nd Session: 13 - 17 June 2022
| Instructor | Course | Start | End | Level | ECTS |
|---|---|---|---|---|---|
|
Roland Füss
Zeno Adams |
Regression Analysis for Spatial Data | 13 Jun 2022 | 17 Jun 2022 | A | 4 |
|
Petyo Bonev
|
Theoretical Aspects of Machine Learning | 13 Jun 2022 | 17 Jun 2022 | A | 4 |
|
Paul Mihas
|
Qualitative Research Methods & Data Analysis | 13 Jun 2022 | 17 Jun 2022 | B | 4 |
|
Michael Heaney
|
Network Analysis - Statistical Analysis of Social Network Data | 13 Jun 2022 | 17 Jun 2022 | M | 4 |
|
Timothy McDaniel
|
Regression Analysis II - Linear Models | 13 Jun 2022 | 17 Jun 2022 | M | 4 |
|
Brett Lantz
|
Machine Learning with R - Advanced | 13 Jun 2022 | 17 Jun 2022 | M | 4 |
|
Shawna Smith
|
Foundations of Machine Learning and Regression Methods for Categorical Outcomes | 13 Jun 2022 | 17 Jun 2022 | A | 4 |
|
Christopher Zorn
|
Regression for Publishing | 13 Jun 2022 | 17 Jun 2022 | A | 4 |
|
Amanda Montoya
|
Mediation, Moderation, and Conditional Process Analysis I | 13 Jun 2022 | 17 Jun 2022 | M | 4 |
|
Edward Kwartler
|
Text Mining | 13 Jun 2022 | 17 Jun 2022 | M | 4 |
|
Richard Cotton
|
Big Data in R | 13 Jun 2022 | 17 Jun 2022 | M | 4 |
3rd Session: 20 - 24 June 2022
| Instructor | Course | Start | End | Level | ECTS |
|---|---|---|---|---|---|
|
Christian Hansen
Martin Spindler |
Econometrics of Big Data | 20 Jun 2022 | 24 Jun 2022 | A | 4 |
|
R. Burke Johnson
|
Mixed Methods Research | 20 Jun 2022 | 24 Jun 2022 | M | 4 |
|
Andreas Herrmann
Douglas Baer |
Introduction to Structural Equation Models | 20 Jun 2022 | 24 Jun 2022 | M | 4 |
|
Peer Fiss
|
Qualitative Comparative Analysis | 20 Jun 2022 | 24 Jun 2022 | M | 4 |
|
John Poe
|
Basic and Advanced Multilevel Modeling with R and Stan | 20 Jun 2022 | 24 Jun 2022 | M | 4 |
|
Damian Borth
Korbinian Riedhammer |
Deep Learning: Fundamentals and Applications | 20 Jun 2022 | 24 Jun 2022 | M | 4 |
|
Michael Schulte-Mecklenbeck
Dirk Wulff |
Visualizing and Communicating Data with R | 20 Jun 2022 | 24 Jun 2022 | B | 4 |
|
Tasha Fairfield
|
Advanced Case Study Methods: Explicit Bayesian Process Tracing | 20 Jun 2022 | 24 Jun 2022 | A | 4 |
|
Amanda Montoya
|
Mediation, Moderation, and Conditional Process Analysis II | 20 Jun 2022 | 24 Jun 2022 | A | 4 |
Fall Session: 17 - 28 October 2022
| Instructor | Course | Start | End | Level | ECTS |
|---|---|---|---|---|---|
|
Michael Lechner
|
Causal Machine Learning | 17 Oct 2022 | 28 Oct 2022 | A | 4 |
B = Basic | M = Intermediate | A = Advanced
Courses start at CHF 1000.
Deadline for application is 30 April 2022.
See pricing for more details.
IMPORTANT Information for PhD students from University of St. Gallen only:
Please read further information in the PDF document