[ 921CGELVIAU23 ] UE Visual Analytics

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 2023W
Objectives In the practical lab, students learn how to apply the theoretical concepts and foundations of visual analytics, visual data science, and visualization to real-world data and problems.
Subject This practical course will cover all steps along the knowledge discovery pipeline, going from data wrangling and preprocessing, all the way to interactive data exploration.
Criteria for evaluation Individual and group assignments.
Methods Tutorials on various technologies, including Python, Matplotlib, Altair, VEGA,, and Tableau; presentation and discussion of assignments.
Language English
Study material Study material will be provided during the course.
Changing subject? No
Earlier variants They also cover the requirements of the curriculum (from - to)
536DASCVIAU19: UE Visual Analytics (2019W-2023S)
On-site course
Maximum number of participants 24
Assignment procedure Direct assignment