Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Fall Semester
Year 2026 361491 Special subjects for intelligent factory (I) 1 3.0 3 ★ Chao-Ching,Ho
CHIH-CHENG LU
DONG-YEA SHEU
PAI-YU TSENG
Tseng, Shih-Feng 4ME3A
4ME3B 38 0 機械三甲乙合開

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2026	361491	Special subjects for intelligent factory (I)	1	3.0	3	★	Chao-Ching,Ho CHIH-CHENG LU DONG-YEA SHEU PAI-YU TSENG Tseng, Shih-Feng	4ME3A 4ME3B	38	0	機械三甲乙合開

Course Plan：

Instructor CHIH-CHENG LU　Office Hours

Email cclu23@ntut.edu.tw

Last Updated 2026-06-08 19:31:05

Course Objective 本課程以“智能工業生產教學工廠”為學習場域，整間工廠完全由北科大跨系所老師帶領學生自行建置，產線包括加工區、精密量測區、線上品管區、組裝區、自動倉儲，從接受訂單到智能化排單、加工、量測、品管、組裝、倉儲，所有雲端伺服器與程式軟體完全由學生自行架設與撰寫，是一條完全無人化的關燈展示生產與教學工廠。上課方式是廠商針對智能工廠各個工作細節具體提出實務需求，再由上課老師帶學生助教以此些問題作為上課基礎，教導學生共同解決，學生以班級為單位進入工廠實作學習，課程由負責建置“智能工業生產教學工廠”的老師依其專長領域分工合作開課，依據老師負責建置的部分及其專長進行分工教學，學生分組由個別老師帶領指導，學生將可依序學到完整工廠技術，學期結束再由各專長老師依照學生分組指導學生進行專題報告，學生的專題報告將以個別老師專長協助解決的問題撰寫報告，這樣的設計可以讓學生深入了解與探討如何解決問題。 This course is based on the intelligent manufacturing system education factory. The intelligent factory is completely built by ourselves and is the only one self-built factory in Taiwanese universities. The intelligent manufacturing system has seven areas, central server, reception, automatic warehouse, manufacturing, measuring, on-line quality control, and assembly. In process, we receive the raw materials and scanned by QR code scanner. After scanned, the raw materials are transported to the warehouse and wait for producing order. If the producing order received, the raw materials will be sent through all seven machines, where a finished component will be manufactured. One component from that batch will be sent to the measuring area for complete quality control, and the remaining compone.

Course Schedule ... ... 第5週晶圓振動感測器原理介紹與應用、質量流量控制器(MFC)簡介第6週電子感測裝置(e-Sensor)介紹與應用、離子產生器(Ionizer)介紹與應用 ... ...

Evaluation and grading policy 期中考試(50%)、課後報告(50%)

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
自編教材

The access to curricular consultation 授課教師 : 呂志誠地點 : 綜合科館 326室
諮詢時間: 每週二下午3-6點、每週五下午13-17點

課程助教 : TBD. 地點 : 綜合科館 614-3室
諮詢時間: 每週三下午3-6點

Expanding teaching and resources ● 數位教材資源應用 (Application of Digital Resources)
採用影音多媒體或具開放授權之資源（如OCW、開放教科書）作為主要或輔助教材。
Adopts multimedia or open-licensed resources (e.g., OCW, Open Textbooks) as primary or supplementary teaching materials.

The course corresponds to the SDGs SDG4：優質教育（Quality Education）
SDG5：性別平等（Gender Equality）
SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
SDG17：夥伴關係（Partnerships for the Goals）

Does the course incorporate AI ● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process）
● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）

Note
　

Instructor	CHIH-CHENG LU　Office Hours
Email	cclu23@ntut.edu.tw
Last Updated	2026-06-08 19:31:05
Course Objective	本課程以“智能工業生產教學工廠”為學習場域，整間工廠完全由北科大跨系所老師帶領學生自行建置，產線包括加工區、精密量測區、線上品管區、組裝區、自動倉儲，從接受訂單到智能化排單、加工、量測、品管、組裝、倉儲，所有雲端伺服器與程式軟體完全由學生自行架設與撰寫，是一條完全無人化的關燈展示生產與教學工廠。上課方式是廠商針對智能工廠各個工作細節具體提出實務需求，再由上課老師帶學生助教以此些問題作為上課基礎，教導學生共同解決，學生以班級為單位進入工廠實作學習，課程由負責建置“智能工業生產教學工廠”的老師依其專長領域分工合作開課，依據老師負責建置的部分及其專長進行分工教學，學生分組由個別老師帶領指導，學生將可依序學到完整工廠技術，學期結束再由各專長老師依照學生分組指導學生進行專題報告，學生的專題報告將以個別老師專長協助解決的問題撰寫報告，這樣的設計可以讓學生深入了解與探討如何解決問題。 This course is based on the intelligent manufacturing system education factory. The intelligent factory is completely built by ourselves and is the only one self-built factory in Taiwanese universities. The intelligent manufacturing system has seven areas, central server, reception, automatic warehouse, manufacturing, measuring, on-line quality control, and assembly. In process, we receive the raw materials and scanned by QR code scanner. After scanned, the raw materials are transported to the warehouse and wait for producing order. If the producing order received, the raw materials will be sent through all seven machines, where a finished component will be manufactured. One component from that batch will be sent to the measuring area for complete quality control, and the remaining compone.
Course Schedule	... ... 第5週晶圓振動感測器原理介紹與應用、質量流量控制器(MFC)簡介第6週電子感測裝置(e-Sensor)介紹與應用、離子產生器(Ionizer)介紹與應用 ... ...
Evaluation and grading policy	期中考試(50%)、課後報告(50%)
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No 自編教材
The access to curricular consultation	授課教師 : 呂志誠地點 : 綜合科館 326室諮詢時間: 每週二下午3-6點、每週五下午13-17點課程助教 : TBD. 地點 : 綜合科館 614-3室諮詢時間: 每週三下午3-6點
Expanding teaching and resources	● 數位教材資源應用 (Application of Digital Resources) 採用影音多媒體或具開放授權之資源（如OCW、開放教科書）作為主要或輔助教材。 Adopts multimedia or open-licensed resources (e.g., OCW, Open Textbooks) as primary or supplementary teaching materials.
The course corresponds to the SDGs	SDG4：優質教育（Quality Education） SDG5：性別平等（Gender Equality） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure） SDG17：夥伴關係（Partnerships for the Goals）
Does the course incorporate AI	● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process） ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
Note