CS205 - Data Driven Discovery

8/25/2015

Introductions -

Cinda Heeren - c-heeren@illinois.edu

Wade Fagen

Undergrad staff:

Alec Mori

Corly Leung

Han Chen

Kelly Mack

You?

Semester overview

by data source:

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by exercise type:

• demos - daily (in class)
• labs - weekly (collaborative)
• MPs - every 3 weeks (independently)

Policies

grading:

• demos - daily engagement 30 x 1pt
• labs - weekly 15 x 3pt
• MPs - every 3 weeks 5 x 5pt

communication:

course forum - piazza.com, cs199-205

web site - https://courses.engr.illinois.edu/cs199205/

office hours - tba

Discussion

What source(s) of data have you used

today?

within the last week?

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for utility?

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for entertainment?

Examples

Amazing data visualizations:

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http://www.atlasobscura.com/articles/the-obsessively-detailed-map-of-american-literatures-most-epic-road-trips

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http://www.cc.gatech.edu/gvu/ii/sportvis/

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http://cinemetrics.fredericbrodbeck.de

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http://twistedsifter.com/2015/06/maps-that-will-teach-you-something-new-about-the-world/

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http://gizmodo.com/14-complex-data-visualizations-that-take-the-form-of-a-1502048474

Anatomy of an Exercise

Data Source

View

Data Processing

Technologies

Anaconda - python2.7 installation

Flask - web framework for python

Git - source code control

Code editor of your choice

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Once you have these things installed, then we can distribute code to you. You’ll handin your work via a web upload.

Closing words

Come to class EVERY TIME

Bring your laptop EVERY TIME

First demo on Thursday

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