本課程旨在培養學生從數位建模到實體製造的綜合能力，縮短理論與實務之間的落差。透過整合生成式AI工具與創新教學模式，學生將學習如何在設計過程中利用生成式AI探索創新方案，激發設計創意，同時兼顧技術精準度與製造可行性。
本課程以實務操作與產業需求議題為導向，結合數位建模、製造設備操作（如CNC、3D列印）及加工參數調整的實務訓練，幫助學生掌握設計與製造的全流程。同時，透過製造決策思考工具與多元評量方法，學生將能深入反思學習歷程，提升問題解決能力與製造判斷力。
此外，本課程融入業師協同教學與真實產業案例，引導學生理解數位工具在實際應用中的價值，進一步縮短與產業需求的技能落差。最終，學生將具備創新設計能力、精準技術操作能力及設計與製造整合的全面素養，為未來進一步發展奠定堅實基礎。
本課程採用多元教學方法，結合生成式AI輔助工具與專案導向學習模式，幫助學生在數位建模與實體製造的過程中建立全面的技能與知識基礎。課程設計分為三個模組，包括數位建模與創意設計、製造方法與技術應用，以及整合實體製造與成果展示，逐步引導學生完成從設計概念到產品實現的全流程學習。
生成式AI工具是本課程的重要輔助，學生將使用AI生成設計靈感，優化設計方案，並分析製造方法與材料的選擇，縮短學習曲線，提升創意能力與決策效率。同時，學生將以真實產業案例為基礎，參與專案式學習，將設計與製造技能應用於解決實際問題。課程中分階段設定目標，透過階段性回顧與改進，確保學生在學習過程中有持續的進步。
業師協同教學是本課程的一大特色，經由業師分享實務經驗與參與專案指導，學生可以更好地理解產業需求，並將學習內容與實際應用緊密結合。此外，課程鼓勵團隊合作與同儕互評，學生在小組中分工協作，通過彼此的反饋提升作品質量，並鍛煉批判性思維與溝通能力。
學習過程中，學生將建立學習歷程檔案，記錄從數位建模到實體製造的完整過程，並定期進行反思與改進。同時，教師將透過Rubric評分工具進行階段性與總結性評量，覆蓋創意性、技術精準度與製造可行性等多個面向。課程最後將安排學生進行作品展示，由教師、業師與同儕提供綜合評價，幫助學生進一步提升設計與製造能力。
整體教學方法強調以學生為中心，結合生成式AI輔助與實務應用，逐步培養學生解決實際問題的能力，並建立對未來產業需求的敏銳洞察力。

This course aims to cultivate students' comprehensive abilities from digital modeling to physical manufacturing and shorten the gap between theory and practice. By integrating generative AI tools and innovative teaching models, students will learn how to use generative AI to explore innovative solutions and stimulate design creativity during the design process, while taking into account technical accuracy and manufacturing feasibility.
This course is oriented towards practical operations and industrial demand issues, and combines practical training in digital modeling, manufacturing equipment operation (such as CNC, 3D printing) and processing parameter adjustment to help students master the entire process of design and manufacturing. At the same time, through the creation of decision-making thinking tools and multiple assessment methods, students will be able to deeply reflect on the learning process, improve problem-solving abilities and create judgment.
In addition, this course integrates industry-teacher collaborative teaching and real industry cases to guide students to understand the value of digital tools in practical applications, further shortening the skill gap with industry needs. Ultimately, students will possess innovative design capabilities, precise technical operation capabilities, and comprehensive qualities in the integration of design and manufacturing, laying a solid foundation for further development in the future.
This course uses multiple teaching methods, combining generative AI auxiliary tools and project-oriented learning models to help students establish a comprehensive skills and knowledge base in the process of digital modeling and physical manufacturing. The course design is divided into three modules, including digital modeling and creative design, manufacturing methods and technology applications, and integrated physical manufacturing and results display, gradually guiding students to complete the full process of learning from design concept to product realization.
Generative AI tools are an important auxiliary to this course. Students will use AI to generate design inspiration, optimize design plans, and analyze the selection of manufacturing methods and materials, shorten the learning curve, and improve creative capabilities and decision-making efficiency. At the same time, students will participate in project-based learning based on real industrial cases and apply design and manufacturing skills to solve practical problems. Goals are set in stages in the course, and through periodic review and improvement, we ensure that students make continuous progress in the learning process.
Collaborative teaching between industry teachers is a major feature of this course. Through industry teachers sharing practical experience and participating in project guidance, students can better understand industry needs and closely integrate learning content with practical applications. In addition, the course encourages teamwork and peer review. Students work together in groups, improve the quality of their work through mutual feedback, and practice critical thinking and communication skills.
During the learning process, students will establish a learning process file to record the complete process from digital modeling to physical manufacturing, and conduct regular reflection and improvement. At the same time, teachers will use Rubric scoring tools to conduct staged and summative evaluations, covering multiple aspects such as creativity, technical accuracy, and manufacturing feasibility. At the end of the course, students will be arranged to display their works, and teachers, industry experts and peers will provide comprehensive evaluations to help students further improve their design and manufacturing capabilities.
The overall teaching method emphasizes student-centeredness and combines generative AI assistance with practical applications to gradually cultivate students' ability to solve practical problems and establish keen insight into future industry needs.

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3.張義和、李榮元，SolidWorks實體建模範例手冊，新文京
4.張笑航，數值控制工具機與操作實務，新文京

1. Liu Zongmin, Cai Mingxun, Wu Haosheng, Chen Junhong, computer-aided manufacturing internship Mastercam, National Taiwan University of Science and Technology
2. Lin Yingming, Lin Ang, Lin Yanling, Machinery Manufacturing, Quanhua Books
3. Zhang Yihe, Li Rongyuan, SolidWorks Solid Modeling Example Manual, Xin Wenjing
4. Zhang Xiaohang, Numerical Control Machine Tools and Operation Practice, Xin Wenjing