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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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The Visual Display of Quantitative Information(2nd Edition), E. Tufte. Graphics Press, Edward Tufte(2001)Envisioning Information, E. Tufte(2005)Visual Thinking for Design, Colin Ware, Morgan Kaufman(2008)Interactive Data Visualization for the Web(2nd Edition), Scott Murray, O’Reilly(2017)
Visualization Analysis and Design, Tamara Munzner, CRC Press(2014Semiology of Graphics, Jacques Bertin(1983)
Visualization Analysis and Design, Tamara Munzner(2014)
Design for Information, Isabel Meirelles, Rockport(2013)
The Functional Art, Alberto Cairo, New Riders(2012)Design for Information, Isabel Meirelles, Rockport(
2013Interactive Data Visualization for the Web, Scott Murray(2017)

Websites

Flowing Data by Nathan Yau
Information Aesthetics by Andrew Vande Moere
Information is Beautiful by David McCandless
Visual Complexity by Manuel Lima
Visualising Data by Andy Kirk
Edward Tufte: Ask E.T. Forum by Edward Tufte
Visual Business Intelligence by Stephen Few
Tutorials & Resources by Alberto Cairo
Points of Interest by Mapbox
Design × Data by IDEO
Visualizing, the Field by Various authors
Datazar Blog
Dataveyes Blog
Accurat Blog
Vizzuality Blog

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An overview of common spatial data formats
QGIS is an open source geographical information system and a good option for working with geodata on a non-regular basis (e.g. to look at some data or to compute areas of some regions). This tutorial collection will introduce you to it.
geojson.io can be used to quickly visualize GeoJSON. Mapshaper can be used to generalize geometries and reduce file size, and it can convert between different file formats.
ogr2ogr (and ogrinfo) are two very helpful CLI tools – just google for some tutorials!
https://tools.retorte.ch/map/: Convert coordinates into/from the Swiss projection system.
Municipal boundaries and districts of Swiss cities by the BFS. Jeremy Stucki (former IAD student) has processed these and other data into TopoJSON (easier to use for web applications).

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Version	Old Version 42	New Version 43
Changes made by	Benjamin Wiederkehr	Benjamin Wiederkehr
Saved on	Nov 06, 2017	Nov 07, 2017

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Module Overview

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Websites