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Module Overview

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Week 1: Data Literacy
Students learn the basics of data acquisition, mining, formatting, and statistics. They get to know a wide variety of data sources.

Please bring your own laptop to the course!

Week 2: Reading Week
Students read articles, watch videos, and listen to podcasts relevant to the topic of data visualization.

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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 Types

Data Formats

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

Messy Data vs. Tidy Data

Geospatial Data

Workshop

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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