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Department of Informatics Database Technology

Temporal and Spatial Data Management TSDM 2023

Lecturer: Michael Böhlen
Teaching language: English
Term: Fall 2023

Objectives: The course provides an in-depth understanding of the fundamentals of temporal and spatial data management. Temporal and spatial data are present in virtually all application areas. We discuss the challenges that arise from the management of temporal and spatial data; we show solutions and limitations of current database systems; we discuss the directions of current research in the area; and we illustrate the basic principles in terms of data models, query languages, algebras and algorithms. The course is taught in odd years only.

Requirements: Please only follow the course if you have attended an introductory database course before.

Teaching format and exam: The course consists of lectures and in-class exercises. The exam is a closed-book exam, no notes are allowed.

Material: The lecture notes for the course together with solutions for the in-class exercises will become available as we progress through the semester. All material related to the course will be made available through the OLAT page of the course

Lectures The lectures take place Monday 8:00-9:45 in room BIN 2.A.01 and starts September 18. The preferred mode of participation on physical on-site presence. The lectures will not be streamed or recorded. The annotated slides will be made available after each lecture on OLAT.