學生透過課程獲得產品設計過程中資料收集、分析、與應用之相關知識、技術、與方法，進而於應用於產品設計；本課程包含人因產品開發流程、用戶資料收集與分析工具、使用情境分析、以及作業流程分析等內容，讓同學透過以上系統性之資料收集、分析、與應用，能夠設計出更符合使用者需求且友善之產品。Through the course, students acquire knowledge, techniques, and methods related to data collection, analysis, and application in the product design process, and then apply them to product design; this course includes human factors product development process, user data collection and analysis tools, and usage scenario analysis , and work process analysis, etc., allowing students to design more user-friendly and user-friendly products through the above systematic data collection, analysis, and application.
工業設計需妥善結合科學與美學，才可創新產品設計；在面對龐大的資訊網路、全球化的競爭及協同設計鏈的作業平台，需學習科學分析工具，以精確掌握設計初始化所需的策略脈動及知識優勢。也需適度運用理性化的設計法則，將設計結果轉換成設計鏈上下游共通的協定，以連接設計鏈的各環節。綜上所述，解析能力已成為設計者不可或缺的基本工具。
課程將以數學知識為基礎，闡述解析工具之間的共通性與特性，同時也使大學一年級新生對設計專業中所運用到的科學知識及工具有基本認識。課程中除了以數學知識作為理論之外，也將透過設計實務案例及Excel函數運算，介紹工業設計領域所需要的計量、統計、邏輯概念、設計的推演、設計策略與規劃…等，實際進行設計解析，讓學生進一步體驗及實作，冀能協助學生於設計過程遇到問題時，靈活解析問題並完成設計目標。
Industrial design needs to properly combine science and aesthetics in order to innovate product design; in the face of huge information networks, global competition and collaborative design chain operating platforms, it is necessary to learn scientific analysis tools to accurately grasp the requirements for design initialization. Strategic pulse and knowledge advantage. It is also necessary to use rational design rules appropriately to convert the design results into common protocols for the upstream and downstream of the design chain to connect all links of the design chain. In summary, analytical capabilities have become an indispensable basic tool for designers.
The course will be based on mathematical knowledge and explain the commonalities and characteristics of analytical tools. It will also provide first-year college freshmen with a basic understanding of the scientific knowledge and tools used in the design major. In addition to using mathematical knowledge as theory, the course will also introduce the measurement, statistics, logical concepts, design deduction, design strategy and planning required in the field of industrial design through design practical cases and Excel function operations, etc., to actually carry out design. Analysis allows students to further experience and practice, hoping to help students flexibly analyze problems and complete design goals when they encounter problems in the design process.
1.Product Design and Development, 5th Edition by Steven Eppinger & Karl Ulrich
2.Jobs to be Done: Theory to Practice by Anthony W. Ulwick & Alexander Osterwalder
3.Research Methods by Monique Hennink
1.Product Design and Development, 5th Edition by Steven Eppinger & Karl Ulrich
2.Jobs to be Done: Theory to Practice by Anthony W. Ulwick & Alexander Osterwalder
3.Research Methods by Monique Hennink
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 期中考期中考 midterm exam |
30 | |
| 期末考期末考 final exam |
30 | |
| 出席+平時作業出席+平時作業 Attendance + daily homework |
40 |
