數據啟發設計思考

臺北科技大學 115-1 學期課程，課號 366071。

課程大綱

The "Data-informed Design Thinking" course aims to combine data analysis and design thinking to improve students' problem-solving abilities in modern design environments through practical projects. This course will guide students in how to extract key insights from data, combining user needs, creative thinking and solution prototype development in design thinking. Students will learn how to effectively apply data to support design decisions and innovation. The course uses Project-Based Learning as the teaching model. Students will explore how to combine data with design thinking in actual design projects, and ultimately deliver a complete data-driven design solution and data visualization. The course will use selected communities in Taiwan as the research site. Through open data, it will explore the challenges faced by urban communities and propose innovative and practical solutions. Students will learn how to use data-driven design methods to develop futuristic and feasible design concepts, and communicate with experts and industry representatives. 「數據啟發設計思考（Data-informed Design Thinking）」課程旨在結合數據分析與設計思考，通過實踐項目提升學生在現代設計環境中的問題解決能力。本課程將引導學生掌握如何從數據中提取關鍵洞察，並結合設計思考中的使用者需求、創意思考與解決方案原型的開發。學生將學習如何有效地應用數據，來支持設計決策與創新。課程以 Project-Based Learning 為教學模式，學生將在實際設計項目中探索如何將數據與設計思考相結合，最終交付一個完整的數據驅動設計解決方案與數據視覺化。課程將選定臺灣特定場域，透過開放數據，探索都市/社區面臨的挑戰，並提出創新且實際的解決方案。學生將學習如何運用數據啟發的設計方法，發展出具未來性與可行性的設計概念，並與專家及業界代表交流。

課程進度

Week 01 Course Introduction; Introduction to Data-Informed Design Thinking and Types of Data Visualization; Team Formation 課程介紹；數據啟發設計思考與資料視覺化類型介紹；分組 Week 02 Types of Data Visualization 資料視覺化類型 Week 03 Part I: Design Concept Development and Familiarization with Data Visualization Tools and Platforms Part II: Field Trip—Visit to the City Science Lab at Taipei Tech 第一部分：設計概念發展與資料視覺化工具及平台操作 第二部分：校外教學—參觀臺北科技大學城市科學實驗室 Week 04 Open Data and Big Data 開放資料與大數據 Week 05 Datasets, Data Cleaning, and Feature Engineering 資料集、資料清理與特徵工程 Week 06 Data Visualization Practice and Team Project Development 資料視覺化實作與小組專題發展 Week 07 Team Project Presentation I 第一次小組專題簡報 Week 08 Urban Dynamic Data Visualization I 都市動態資料視覺化（一）- 業界講師：鄭敏弘 Week 09 Urban Dynamic Data Visualization II 都市動態資料視覺化（二）- 業界講師：鄭敏弘 Week 10 田野調查/在地訪談—小組專題實作 Weeks 11–13 Design Studio—Team Project Development 設計工作坊—小組專題實作 Week 14 Progress Review Presentation II 第二次專題進度報告 Week 15 Team Discussion, Project Refinement, and Iteration 小組討論、專題調整與迭代 Week 16 Final Project Presentation 期末專題成果發表

評量方式

Midterm report: 25% Class Assignment: 20% Final Project: 40% Video: 10% Attendance: 5%

教材

【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】 使用外文原文書：否 Use of self-made materials