The module provides an introduction to the syntax and the most important concepts of Python. This forms the basis for subsequently automating GIS processes in ArcGIS Pro and implementing spatial analyses and dynamic models.

The goal of this seminar-style course is to convey methods how to do research and communicate research results in the geospatial domain. The course further provides an overview of the types of research in the geospatial domain and the research life cycle.

The aim of the module is to explain the constitutional division of tasks between the Confederation and the cantons in the regulation of geoinformation law. Furthermore, the organizational and legal possibilities of procuring infrastructure data will be dealt with, in particular the data protection restrictions and the legal significance of Geographic Information Systems.

The digital revolution, spatial information and communication systems in particular, have a significant influence on the development of new transport systems. Participants acquire an in-depth understanding of the functionality and application potential of spatial information systems and services and of communication technologies for deployment in future transport systems and applications.

- Modelling and analysis of spatio-temporal and quantitative data using GIS tools.- Conception and design of a thematic map using GIS tools.

Spatial data science is a subset of Data Science that focuses on the unique characteristics of spatial data. The seminar will cover important topics as well as seminal and current research papers from the domain of spatial data science. The course will mainly consist of readings and discussion.