Immersive Analytics​

Faculty: Department of Computer and Information Science

In this course we will study, present and discuss articles concerning current methods and tools in the area of Immersive Analytics (IA). IA is an emerging research thrust investigating how new interaction and display technologies can be used to support analytical reasoning and decision making. The aim is to provide multi-sensory interfaces that support collaboration and allow users to immerse themselves in their data in a way that supports real-world analytics tasks. Immersive Analytics builds on technologies such as large touch surfaces, immersive virtual and augmented reality environments, sensor devices and other, rapidly evolving, natural user interface devices. Active participation in the discussions, exercises and hands-on project, oral (20 min) or written (60 min) exam at the end of the course

Additional Information:

Prerequisites: – Solid programming skills are required to be able to successfully participate in the exercises. Experience with immersive technologies might be helpful, but is not required.
Discipline: Computer science
Period: – Oct 27, 2021 – Feb 2, 2022


Mon 13:30 PM – 15:00 PM

Wed 11:45 AM – 13:15 PM
Format: Online course / Directed Studies
Number of ERUA Students: 6
Number of ETCS: 3
Language: English
Student Level: 2nd/3rd Year BA + MA
Application Deadline: 11/10/2021