You are familiar with the visual repertoire of data visualizations and visualization types.
F
K1, K2
You are able to visualize data by using tools and appropriate software.
M
K3
You are able to describe the target group of your data visualization.
M, SO
You are able to select the right visualization type for your message
You can analyze data visualizations and evaluate their strengths and weaknesses.
F, M
K4
You can estimate possible impacts.
You can design data visualizations and critically reflect on the result.
F, M, SE
K5, K6
You understand the interrelationship between data visualization and storytelling. You can apply this knowledge in the appropriate communication context.
F, M, SO
K2, K3
Visual elements and visualization types; Development of personas; Application and impact of data visualizations; Design of data visualizations; Analysis, interpretation and evaluation of data visualizations and data science stories; Tools and programming.
Made available on the course platform:
Kirk, A. (2016). Data Visualisation. A Handbook for Data Driven Design. London: Sage. Cairo, A. (2016). The truthful art: Data, charts, and maps for communication. Berkeley: New Riders. Munzner, T. (2015). Visualization analysis and design. Boca Raton: Taylor & Francis. Wilke, C. O. (2019). Fundamentals of Data Visualization. A Primer on Making Informative and Compelling Figures. Sebastopol, CA: O.Reilly. Nussbaumer Knaflic, C. (2015). Storytelling with data. Hoboken: Wiley.
Graded assignments during teaching semester
Assessed practical exercises and/or quizzes
Written
grading
20%
End-of-semester exam
Project work
Written documentation and oral presentation
80%