<aside> 👋 授課老師：鄭宇婷 [email protected]
</aside>
Course Introduction
透過閱讀、討論、實作練習探索各種不同的數據（Data），例如環境數據、生理數據、社交平台使用數據等，於日常生活（虛擬與實體）中如何能被有創意地搜集與詮釋，作為設計師理解不同情境與不同使用者等的一種新工具，更作為一種新素材創造新的設計語言。
Through reading, discussion, and practical exercises, explore various types of data, such as environmental data, physiological data, and social media usage data, to creatively collect and interpret them in daily life (both virtual and physical). This serves as a new tool for designers to understand different contexts and users, as well as a new material to create a new design language.
Learning Goal
理解數據與人之間的關係（動作、語意連結、隱私議題等）
創意式地數據搜集、整理、標註與呈現
從數據與事物觀點建構不同使用者與生活情境脈絡之理解與想像
分析與應用數據作為未來設計提案之輔助
Understanding the relationship between data and people (actions, semantic connections, privacy issues, etc.)
Creatively collecting, organizing, labeling, and presenting data
Constructing understanding and imagination of different users and life context from the perspective of data and things
Analyzing and applying data as an aid for future design proposals
Time and Location
本課程將以「主題式工作坊」進行，課堂會有演講主題與設計工作坊相互做搭配。學生將在課堂中探索數據如何作為一種設計媒材，實驗性開創自己獨特的數據搜集、使用、詮釋等方式。
學生會進行主題1與2的小練習。
主題1與2中會有獨立作業、混合團體作業的小練習。
學生會同時組隊，執行一個大設計專題，期末報告。
Theme 1: Everyday Data Observational Plan
W2 (3/01) - W8
主題1將帶領同學認識「數據」與人的關係，設計自己獨創的數據搜集方法。
In the theme 1, teachers will lead students to understand the relationship between "data" and people, and to design their own data collection methods.
主題2 將帶領同學真實進入「數據搜集」的互動設計，討論如何延伸主題1，設計一個互動系統/裝置等，可以放入參與者家中搜集數據。而搜集數據的過程，同時創造出數據引發的新現象、理解與經驗。
課堂上slide：https://www.figma.com/slides/ntfpIDnCL8MzN3NfAaE4yi/data-enabled-creative-design?node-id=178-76&t=tQwwcHY4i8DoK1dr-1
Homework Delivery
第一次上課，請至下方選課年份的page內，輸入自己的學生email與資料。課程上的作業也請上傳至下方選課年份page內。
For the first class, please go to the page below and enter your student email and information. Additionally, please go to the page below to upload your work.
Resources
關於Data-Enabled Design Designing with data: Data-enabled and data-driven design
關於Data 創作 Giorgia Lupi, Stefanie Posavec, Maria Popova. 2016. Dear Data. Princeton Architectural Press
關於Data-Enabled Objects Yu-Ting Cheng, Mathias Funk, Rung-Huei Liang, and Lin-Lin Chen. 2023. Seeing Through Things: Exploring the Design Space of Privacy-aware Data-enabled Objects. ACM Trans. Comput.-Hum. Interact. 30, 4, Article 56 (August 2023), 43 pages. https://doi.org/10.1145/3577012
關於Human-Data Interaction (Privacy)
HITO STEYERL, HOW NOT TO BE SEEN: A FUCKING DIDACTIC EDUCATIONAL .MOV FILE, 2013
Product Design 心法系列 – 何謂 Data-Driven Design