Inhalt
[ 921CGELVIAU23 ] UE Visual Analytics
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| 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 |
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| 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.
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| 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.
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| Criteria for evaluation |
Individual and group assignments.
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| Methods |
Tutorials on various technologies, including Python, Matplotlib, Altair, VEGA, plot.ly, and Tableau; presentation and discussion of assignments.
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| Language |
English |
| Study material |
Study material will be provided during the course.
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| Changing subject? |
No |
| Earlier variants |
They also cover the requirements of the curriculum (from - to)
536DASCVIAU19: UE Visual Analytics (2019W-2023S)
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| On-site course |
| Maximum number of participants |
24 |
| Assignment procedure |
Direct assignment |
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