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 Chao-Ching,Ho　Office Hours

Email hochao@ntut.edu.tw

Last Updated 2026-06-02 09:47:37

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6週視覺感測粒子控制(業師偕同分享) 第8週視覺感測粒子控制(業師偕同分享) 第9週視覺感測粒子控制(業師偕同分享) 第10週 PBL總整課程:微奈米粒子於電子散熱之PBL實驗第11週 PBL總整課程:微奈米粒子於電子散熱之PBL實驗第12週 PBL總整課程:微奈米粒子於電子散熱之PBL實驗

Evaluation and grading policy 心得報告與實驗記錄報告

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
自編教材

The access to curricular consultation 綜科館220室每周一13:00-16:30、每週二09:00-12:00

Expanding teaching and resources ● 數位科技融入 (Digital Technology Integration)
運用生成式AI、VR/AR、IoT、IRS等新興科技輔助教學與評量。
Utilizes emerging technologies such as Generative AI, VR/AR, IoT, and IRS (Interactive Response Systems) to facilitate teaching and assessment.

The course corresponds to the SDGs SDG4：優質教育（Quality Education）
SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）

Does the course incorporate AI ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
● 深入探討AI的原理與應用（Explore the principles and applications of AI in depth）

Note
　

Instructor	Chao-Ching,Ho　Office Hours
Email	hochao@ntut.edu.tw
Last Updated	2026-06-02 09:47:37
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6週視覺感測粒子控制(業師偕同分享) 第8週視覺感測粒子控制(業師偕同分享) 第9週視覺感測粒子控制(業師偕同分享) 第10週 PBL總整課程:微奈米粒子於電子散熱之PBL實驗第11週 PBL總整課程:微奈米粒子於電子散熱之PBL實驗第12週 PBL總整課程:微奈米粒子於電子散熱之PBL實驗
Evaluation and grading policy	心得報告與實驗記錄報告
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No 自編教材
The access to curricular consultation	綜科館220室每周一13:00-16:30、每週二09:00-12:00
Expanding teaching and resources	● 數位科技融入 (Digital Technology Integration) 運用生成式AI、VR/AR、IoT、IRS等新興科技輔助教學與評量。 Utilizes emerging technologies such as Generative AI, VR/AR, IoT, and IRS (Interactive Response Systems) to facilitate teaching and assessment.
The course corresponds to the SDGs	SDG4：優質教育（Quality Education） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
Does the course incorporate AI	● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools） ● 深入探討AI的原理與應用（Explore the principles and applications of AI in depth）
Note