[ 536DASCVIAU19 ] 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 Bachelor's programme Artificial Intelligence 2019W
Objectives In the practical course students will learn how to apply the theoretical concepts and foundations of visual analytics, visual data science, and visualization that have been introduced in the lecture.
Subject This practical course will cover all steps of the knowledge discovery pipeline, going from data wrangling and preprocessing all the way to interactive data exploration.
Criteria for evaluation Individual and group assignments.
  • Tutorials on various technologies, including Python, Matplotlib, Altair, VEGA, and Tableau.
  • Presentation and discussion of assignments
Language English
Study material Will be provided during the semester in the form of hands-on tutorials and exercises.
Changing subject? No
On-site course
Maximum number of participants 24
Assignment procedure Direct assignment