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Module Overview

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The documentation should include:

  • Abstract
  • Introduction into the topic and research question
  • Data analysis with sources and methodology
  • Design and development process with stages and variations
  • Result with explanation and evaluation
  • Conclusion and outlook

Grading

Grades will be based on group presentations, class participation, home assignments, documentation (journal) and final work. Contributing to constructive group feedback is an essential aspect of class participation. Regular attendance is required. Two or more unexcused absences will affect the final grade. Arriving late on more than one occasion will also affect the grade.

  • 10% Participation (Data Literacy)
  • 60% Final work (Data Visualization)
  • 30% Documentation (Data Visualization)

Any assignment that remains unfulfilled receives a failing grade.

Calendar

Week 1

Tuesday 31.10

Wednesday 1.11

Thursday 2.11

Friday 3.11




Data Literacy
09.30-17.00
4.D12, TG

Introduction

From Data to Knowledge

Data Sources

Please bring your own laptop to the course!

Data Literacy
09.30-17.00
4.D12, TG

Data Sources & Quality

Data Types / Formats

Data Tools / Working with Data



Week 2

Tuesday 7.11

Wednesday 8.11

Thursday 9.11

Friday 10.11


Data Literacy
09.30-17.00
4.D12, TG

Data Quality

More Data Tools

Geospatial Data

tbd.

Data Visualization
Introduction & Brief

09.00-12.0
4.D12, BW, JG

Research

Design Input 1
Basic Techniques

09.00-12.00
4.D12, BW

Research

Tech Input I

09.00-12.00
4.D12, JG

Mentoring
13.00-15.00
Atelier, BW, JG

Analysis

Week 3

Tuesday 14.11

Wednesday 15.11

Thursday 16.11

Friday 17.11


Analysis

Analysis

Concept

Concept

Week 4

Tuesday 21.11

Wednesday 22.11

Thursday 23.11

Friday 24.11

B&A

Design Input 2
Intermediary Techniques

09.00-12.00
4.D12, BW

Mentoring
13.00-15.00
Atelier, BW, JG

Concept

Tech Input 2

09.00-12.00
4.D12, JG

Concept

Aesthetics of Interaction
09.00 - 12.00

Concept

Mentoring
09.00-12.00
Atelier, BW, JG

Production

Week 5

Tuesday 28.11

Wednesday 29.11

Thursday 30.11

Friday 1.12

B&A

Production

Aesthetics of Interaction
09.00 - 12.00

Mentoring
13.00-17.00
Atelier, BW, JG

Production

Production

Final Presentation
09.00-12.00
4.D12, BW, JG

Documentation


TG: Timo Grossenbacher, BW: Benjamin Wiederkehr, JG: Joël Gähwiler

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  • Chroma.js– Javascript library for dealing with colors
  • D3.js– Javascript library with modules for dealing with colors
  • HCL Wizard– Tool for viewing, manipulating, and choosing HCL color palettes
  • I Want Hue– Tool for generating and refining palettes of optimally distinct colors
  • Colorbrewer– Tool for finding sequential, diverging, and qualitative color palettes
  • Color Picker for Data– Tool for picking color palettes
  • Accessible Color Matrix– Tool for building accessible color palettes
  • Contrast Finder– Tool for finding good contrasts between two colors
  • Chromaticity– Guidance for accessible visualization color design
  • Color Oracle– Free color blindness simulator for Window, Mac and Linux

Data Literacy Resources

Here are the slides for this part of the course. Also have a look at the speaker notes, sometimes there's a bit more information.

General / good reads

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