Data Visualization
実施大学（学部）
Partner university (faculty)
千葉大学工学部・国際教養学部 ニュースクール大学
Faculty of Engineering, College of Liberal Arts and Sciences, Chiba University and The New School
授業日程
Class schedule
Term 4 & Term 5 (Introduction class for Chiba University students)
Term 6 (Outbound program end of February or beginning of March 2022, Inbound program May 2022)
時差
Time difference
13時間
13 hours
授業目的
Class objectives
Explore the possibilities and applications of machine learning technology towards the design of new products and experiences from a data visualization context.
Exploring the co-creative approach between artificial agents and human designers.
To Design data visualization based experiences with a focus on the emotional perception and impact on the users. Explore the posibilites of emotion and sentiment analysis technologies towards this purpose as well as the implications derived from the biases in the current models and techniques.
授業内容
Class content
Projects based on 3 stages.
Stage 1 Co-designing with the machine T4
Stage 2 DataVisualization and Emotion T5
Stage 3 Joint Online presentation of Student Works and Feedback from partner professors.
授業実施形態
Class format
同期型および非同期型
Synchronous and asynchronous
使用ツール
Tools used
Googleclassroom, Zoom
Make students research and final design results available for the next generation, can motivate participants to continue their projects outside of the scope of coil.
Exchange in lectures between programs focused on two distinct perspectives on the same topic can considerably broaden the students approach towards a joint project.
