Organization (SoSe 2026)
- Course
- 3+2 hours weekly (equals 6 ECTS)
- Lecture:
- Prof. Dr. Matthias Schubert
- Assistant:
- Philipp Pfefferkorn
- Audience:
- Master students in the programs of the Institute for Informatics
- Course Material:
- SpatialAI@Moodle
- Prior Knowledge:
- The course expects participants to have basic skills in machine learning and data mining.
- Course Language:
- English
Content
Artificial Intelligence and Deep Learning belong to the most impactful technologies in computer science over the last decade. Spatio-temporal data involves any type of data describing location and its change over time. Applications include earth observation data, vehicle path planning, or urban simulation models.
In this seminar, we will discuss recent developments in AI for applications based on spatio-temporal data. The focus lies on novel methods that allow for better analysis of spatio-temporal data or improve decision-making in spatio-temporal applications. Furthermore, aspects like efficiency and required resources play an important role in making AI applications sustainable in a modern society.