Inhalt

[ 921CGELVIAU24 ] UE Visualization

Versionsauswahl
Workload Education level Study areas Responsible person Hours per week Coordinating university
1,5 ECTS B2 - Bachelor's programme 2. year Computer Science Marc Streit 1 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Computer Science 2025W
Learning Outcomes
Competences
See the corresponding lecture
Skills Knowledge
See the corresponding lecture
  • Solid foundation in exploratory data analysis in Python
  • Working knowledge of data visualization systems and libraries
Criteria for evaluation Group assignments
Methods Tutorials on various technologies, including Python, Matplotlib, Altair, VEGA, and plot.ly; presentation and discussion of assignments
Language English
Study material Study material provided during the course
Changing subject? No
Further information The course was formerly known as Visual Analytics.
Earlier variants They also cover the requirements of the curriculum (from - to)
921CGELVIAU23: UE Visual Analytics (2023W-2024S)
536DASCVIAU19: UE Visual Analytics (2019W-2023S)
On-site course
Maximum number of participants 24
Assignment procedure Direct assignment