本課程為本系研究所選修課程，主要在於介紹工業設計研究領域，所採用的各項設計方法，內容涵蓋計量、統計、邏輯概念、設計決策的推演、設計策略與規劃…等，課程上，藉由設計方法手段，而達成最佳化的決策，使得設計不再僅是天馬行空的概念，而能夠具體呈現與成效。授課上，並輔以相關程式設計說明與計量軟體應用，使研究生得以在日後研究論文寫作階段，得以瞭解與學習在工業設計領域所需的各項設計方法與決策手段，提供相關的研究應用。

This course is a course selected by this department. It mainly introduces the industrial design research field. The various design methods used include measurement, statistics, logic concepts, deduction of design decisions, design strategies and planning... etc. In the course, the optimization decision is achieved through design methods and means, so that design is no longer just a concept of sky and sky, but can be presented and achieved specific results. In the course, relevant programming instructions and measurement software applications are provided, so that graduate students can study the writing stage in the future, understand and learn various design methods and decision-making methods required in the industrial design field, and provide relevant research applications.

1.Kai Yang and Basem S EI-Haik, Design for Six Sigma: A Roadmap for Product Development, 2nd Eds, McGraw-Hill, 2009.
2.Ali, K. Kamrani, Saed M. Salhieh, Product Design for Modularity, Kluwer Academic Publisher, 2002.
3.Skvarcius, R. and Robinson, W.B., Discrete Mathematics with Computer Science Applications, 1986.
4.李允中、王小蟠、蘇木春，模糊理論及其應用，全華，2003.
5.蘇木春、張孝德，機器學習、類神經網路、模糊系統以及基因演算法則，全華，2000.
6.Chapman, S.J., Matlab Programming for Engineers, Thomson, 2008.

1.Kai Yang and Basem S EI-Haik, Design for Six Sigma: A Roadmap for Product Development, 2nd Eds, McGraw-Hill, 2009.
2.Ali, K. Kamrani, Saed M. Salhieh, Product Design for Modularity, Kluwer Academic Publisher, 2002.
3.Skvarcius, R. and Robinson, W.B., Discrete Mathematics with Computer Science Applications, 1986.
4. Li Yunzhong, Wang Xiaopan, Su Muchun, Fuzzy Theory and Application, Quanhua, 2003.
5.Su Muchun, Zhang Xiaode, machine learning, category neural network, fuzzy systems and gene algorithms, All Hua, 2000.
6.Chapman, S.J., Matlab Programming for Engineers, Thomson, 2008.