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Comment: changed my email, some small details about data literacy curriculum

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Benjamin Wiederkehr
benjamin@interactivethings.com
Data analysis, visualization, interaction, narration, communication, and evaluation

Timo Grossenbacher
timo.grossenbacher@srftimo@timogrossenbacher.ch
Data literacysources and data quality, acquisition, mining, formatting , and basic statistics

Module Sessions

Lectures
Presentations will introduce the students to the essential theory and practice of data visualization.

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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.

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

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Week 1

Tuesday 31.10

Wednesday 1.11

Thursday 2.11

Friday 3.11




Data Literacy
09.30-17.00
4.D12, TBTG

Data Literacy
09.30-17.00
4.D12, TBTG

Week 2

Tuesday 7.11

Wednesday 8.11

Thursday 9.11

Friday 10.11


Data Literacy
09.30-17.00
4.D12, TBTG

Data Visualization
4.D12

Data Visualization
4.D12

Data Visualization
4.D12

Week 3

Tuesday 14.11

Wednesday 15.11

Thursday 16.11

Friday 17.11


Reading WeekReading WeekReading WeekReading Week

Week 4

Tuesday 21.11

Wednesday 22.11

Thursday 23.11

Friday 24.11


Data Visualization
4.D12

Data Visualization
4.D12

Aesthetics of Interation
09.00 - 12.00

Data Visualization
4.D12

Data Visualization
Atelier

Week 5

Tuesday 28.11

Wednesday 29.11

Thursday 30.11

Friday 1.12


Data Visualization
4.D12

Aesthetics of Interation
09.00 - 12.00

Data Visualization
4.D12

Data Visualization
4.D12

Data Visualization
4.D12

TBTG: Timon Timo Grossenbacher, BW: Benjamin Wiederkehr, JG: Joël Gähwiler