822048 :Data Visualization (CSAI/HAIT/NMD/BDM/T&C)


Voertaal Engels
Werkvorm: 14 x 2 hours lectures, 14 online contact hours (Collegerooster)
Tentamenvorm: paper (Geen informatie over tentamendata bekend)
Studielast:6 ECTS credits
Inschrijving:Inschrijven via Blackboard voor aanvang colleges
Blackboard informatieLink to Blackboard (Als u de melding 'Guest are not allowed in this course' krijgt, dient u nog bij Blackboard in te loggen)


dr.ing. S.C.J. Bakkes (coordinator)

Doel van de cursus (alleen in het Engels beschikbaar)

At the end of the course, students will be able to:
- recognize and provide insight into patterns in data,
- design and implement 2D data visualizations,
- critically reflect on data visualizations,
- give data-driven presentations.

Inhoud van de cursus (alleen in het Engels beschikbaar)

Data visualization concerns the presentation of data in a visual format (e.g., in a pictoral or graphical format). It enables decision makers to (1) comprehend information quickly, (2) identify relationships and patterns, (3) pinpoint emerging trends, and (4) communication the story to others.

Given the current trend of a growing volume and variety of data streams, it is important that not only a human designer can create appropriate data visualizations, but that the process can be automated to assist the human interpreter. As such, the present course is particularly focused on how effective data visualizations can be generated automatically, building upon established methods for data visualization and on existing toolkits.

Bijzonderheden (alleen in het Engels beschikbaar)

The course consists of a large group project (60% of the final grade) and individual assignments (40% of the final grade). The project is driven by structured group discussions, presentations (both expert + student), critical reflections, combined with team-based practical implementation of the ideas on the basis of existing tools. The individual assignments concern the critical reflection on data visualizations, and the implementation of a data visualization.

The course is somewhat technical in nature. As such, basic programming skills are a plus (but are not required).

Verplichte literatuur

  1. On-line articles and slides on Blackboard.

Gewenste voorkennis

Basic programming skills are a plus (but are not required)

Vereiste voorkennis


Verplicht voor

  • Bachelor CIW: Cognitive Science and Artificial Intelligence ( 2017 )

Mogelijk interessant voor

  • Bachelor CIW: Bedrijfscommunicatie en Digitale Media ( 2014, 2015, 2016, 2017 )
  • Bachelor CIW: Tekst en Communicatie ( 2014, 2015, 2016, 2017 )
  • Bachelor CIW: Interculturele Communicatie ( 2014 )
  • Bachelor CIW: Human Aspects of Information Technology ( 2014, 2015, 2016 )
  • Bachelor CIW: New Media Design ( 2017 )