Summer Schools

To offer additional training on further specific topics relevant for the doctoral researchers of TRR 391, we will organize two summer schools in years 2025 and 2027, where external speakers will be invited.

The summer schools will also be open to external participants. Furthermore, a small number of scholarships are available to cover accommodation and (possibly partial) travel expenses.
 

Title: Generalized Additive Modelling and Statistical Methods for High-Dimensional Spatio-temporal Data
Date: June 12 - June 14
Location: TU Dortmund University (north campus), FH Dortmund (Department of Computer Science)
Lecturers (as of now): Matteo Fasiolo & Sayar Karmaka
Registration Deadline: April 30

Sayar's course will explore statistical methods designed to address the challenges we encounter when dealing with high-dimensional spatio-temporal data: complex dependencies across both spatial and temporal dimensions, intrinsic high dimensionality, and computational difficulties are just a few examples. Through theoretical discussions and some hands-on exercises in R, you will gain practical skills for handling large-scale spatio-temporal datasets effectively.
   
Matteo's course features Generalized Additive Models (GAMs) models, an extension of traditional regression models. They strike a balance between flexibility and interpretability, while being able to handle large data sets. You will get an overview of GAM theory, methods and software, covering GAM basics, before learning about more advanced topics, such as quantile GAMs. Incorporated hands-on sessions will make sure that you will be ready to start doing GAM modelling in R as soon as the course is over.

Note that both parts require basic proficiency with R (eg. loading data, accessing data frames, basic use of the lm() function, etc.), at a level equivalent to a couple of days of self-study.

These two main courses of the STAIRS Summer School will also be supplemented by a supporting program. Details will follow shortly.