Course · Information Design

Understand complex things at a glance

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0.1 / What it's about

Information design makes complex matters understandable.

Information design makes complex content easy to understand: figures, processes, locations and connections. It combines structure, typography, visualisation and language to help people find information quickly, understand it correctly and put it to use.

Key questions of the course:

Course framework:

TARGET AUDIENCE

Creators

Learners in graphic, media, web, or UX design, with no prior knowledge of information design.

SCOPE

8 × 90 mins

Plus final project; each module can also be used individually.

Format

Individually and as part of a team

Brief input, trying out the tool, exercise, reflection.

REFERENCE

Cross-references

0.3 / Course content

All modules and sections at a glance.

0.4 / Procedure per module

Each module follows the same structure.

The rhythm stays the same, the content changes:

01

Introduction (10 mins)

A question or an everyday example.

02

Input (20 mins)

Concepts and examples, concise and visual.

03

Tool (15 mins)

Try out the principle in the interactive tool.

04

Exercise (35 mins)

Application to a personal example.

05

Reflection (10 mins)

What worked, what are you doing differently?

In each section, you will find a key takeaway in bold with a lightning bolt icon, an exercise behind the blue button, and a read-aloud function.

0.5 / Certificate of achievement

In the end, you have your own bespoke information design.

Final project: an information design project, individually or in pairs

Evaluation criteria: clarity of the core message, appropriateness of presentation, honesty and references, readability and accessibility, quality of the test and reflection.

0.6 / Literature and Sources

Good graphics have sources.

• Tufte, E. R. (1983): The Visual Display of Quantitative Information

• Tufte, E. R. (1990): Envisioning Information

• Wurman, R. S. (1989): Information Anxiety

• Bertin, J. (1967): Sémiologie graphique

• Cleveland, W. S. & McGill, R. (1984): Graphical Perception. Journal of the American Statistical Association

• Cairo, A. (2016): The Truthful Art

• Cairo, A. (2019): How Charts Lie

• Knaflic, C. N. (2015): Storytelling with Data

• Munzner, T. (2014): Visualisation Analysis and Design

• Lynch, K. (1960): The Image of the City

• Gibson, D. (2009): The Wayfinding Handbook

• Further reading: Shneiderman, B. (1996): The Eyes Have It. A Task by Data Type Taxonomy for Information Visualizations · Neurath, O. (1936): International Picture Language