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INCO

This class is about exploring complexity and innovation through the lens of advanced interactive data visualization. Understanding how to co-evolve complex ecosystems and how to allow for distributed organizing to happen demands a thorough understanding of data visualization techniques. The course builds on basic knowledge in calculus and software development. It builds the basics for developing smart interactive web-based healthcare data displays.

Reading

Further online materials

Course Materials

The course closely follows the main reading, which offers vast additional material online:

Python and D3.js

Deliverables

  • As part of the course you need to prepare an individual data visualization project based on publicly available healthcare dataset.

Sessions

  • Lecture: 30min
  • Hands-on: 90-180min
  • Project Presentation: 90-180min

Session 1 - Why Data Visualization and How?

Hands-on

  • Introductory Example using Python Matplotlib
  • Review on Progress Board and Discussion

Project

  • Project Ideation

Session 2 - What: Data Abstraction

Hands-on

  • Data Types in Visualization and their implementation in Python

Session 3 - Why: Task Abstraction

Lecture

Hands-on

Session 4 - Analysis: Four levels of validation

  • Understanding the need and a framework for validation
  • Application to own project
  • Preliminary planning of iterations, definition of roadmap

Session 5 - Marks and Channels

Lecture - Overview on Marks and Channels

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