AXM-E2006 - Design and Data, Lecture, 11.1.2024-16.2.2024
This course space end date is set to 16.02.2024 Search Courses: AXM-E2006
Översikt
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How can information designers contribute to the exploration of complex phenomena? The course aims at integrating tools for data analysis and representation in the design process, by building an interactive web-based data visualization platform.
Course Teacher: Cerioli Nicola <nicola.g.cerioli@aalto.fi>
Responsible/Supervising Teacher: Rupesh Vyas <rupesh.vyas@aalto.fi>
Course Structure:
The structure of the course is hybrid: including tutorials, theoretical lectures, personal work, and open discussion. At the end of the course, the students are required to deliver an interactive visualization; in addition, assignments will be given and discussed weekly.
Learning outcomes:
The students will be provided with a set of methods and tools and a hands-on introduction to how to integrate them into the design process. More precisely, the covered areas will be:
• sketching with data
• visual languages to represent complex phenomena
• building web-based interactive data visualizations in d3.js
After the course, the students will be able to build interactive data visualizations and be independent in expanding their programming knowledge.
A critical view on:
• human data interaction
• the challenges of complexity
Before you start the course
If you have no previous experience with web-based data visualization attendance at the introductory study project is warmly recommended
see the calendar and contact nicola.g.cerioli@aalto.fi or rupesh.vyas@aalto.fi to participate.
Requirements
Basic knowledge of HTML, CSS, and JS is required, otherwise, make sure to follow these tutorials before the beginning of the course
HTML and CSS :
https://youtube.com/playlist?list=PL0eyrZgxdwhwNC5ppZo_dYGVjerQY3xYU
JS (until video 21) :
https://youtube.com/playlist?list=PL0eyrZgxdwhxNGMWROnaY35NLyEjTqcgB
Basic knowledge of Google Sheets or other data-wrangling tools.
Make sure to have Visual Studio Code installed.
Also, make sure to have a google account in order to comfortably use google spreadsheets
Course Schedule:
Week 1
Day 01: 11-01-2024
09:15-12:00 – Introduction to the course
Day 02: 12-01-2024
09:15-12:00 – Scalable Vector Graphics
13:00-17:00 – Javascript session 1
Week 2
Day 03: 18-01-2024
09:15-12:00 – Javascript session 2
Day 04: 19-01-2024
09:15-12:00 – d3.js session 1, what is d3
13:00-17:00 – d3.js session 2, data visualization in d3
Week 3
Day 05: 25-01-2024
09:15-12:00 – Interaction Models
Day 06: 26-01-2024
09:15-12:00 – d3.js session 3, interactive data visualization
13:00-17:00 – d3.js session 4, filtering
Week 4
Day 07: 01-02-2024
09:15-12:00 – d3.js session 5, nesting
Day 08: 02-02-2024
09:15-12:00 – d3.js session 6, trees and networks
13:00-17:00 – d3.js practice
Week 5
Day 09: 8-02-2024
09:15-12:00 – d3.js practice
Day 10: 9-02-2024
09:15-12:00 – d3.js practice
13:00-17:00 – d3.js practice
Week 6
Day 09: 15-02-2024
09:15-12:00 – d3.js practice
Day 10: 16-02-2024
09:15-12:00 – d3.js practice
13:00-17:00 – Final Presentation
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One folder containing:
- Folder 1 – all the assignments
- Folder 2 – The final project
Folder 3 – Sketches digital analog (Everything you produced)
A document reporting:
Limitations found with testing
Possible solutions
Brief Analysis based on design principles discussed (see examples in the slides – session 8 Closing)
Plan for the next sprint
Remember to add all the necessary files: datasets, fonts, etc.