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