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 PAI-YU TSENG　Office Hours

Email stephen@ntut.edu.tw

Last Updated 2026-06-29 13:52:32

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 工業用自動導航貨車簡介，各式定位方式介紹，各種車輛運動控制介紹，交通管理，各項實務案例。

Evaluation and grading policy 課堂問答與課後作業報告。

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
自編教材

The access to curricular consultation 諮詢時間

Expanding teaching and resources ● 混成學習 (Blended Learning)
課程結合實體授課與線上學習（同步視訊／非同步活動）。
Combines face-to-face instruction with online learning (including synchronous video sessions or asynchronous activities).
● 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 SDG8：尊嚴就業與經濟發展（Decent Work and Economic Growth）
SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
SDG12：負責任的消費與生產（Responsible Consumption and Production）

Does the course incorporate AI ● 無（None）

Note
　

Instructor	PAI-YU TSENG　Office Hours
Email	stephen@ntut.edu.tw
Last Updated	2026-06-29 13:52:32
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	工業用自動導航貨車簡介，各式定位方式介紹，各種車輛運動控制介紹，交通管理，各項實務案例。
Evaluation and grading policy	課堂問答與課後作業報告。
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No 自編教材
The access to curricular consultation	諮詢時間
Expanding teaching and resources	● 混成學習 (Blended Learning) 課程結合實體授課與線上學習（同步視訊／非同步活動）。 Combines face-to-face instruction with online learning (including synchronous video sessions or asynchronous activities). ● 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	SDG8：尊嚴就業與經濟發展（Decent Work and Economic Growth） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure） SDG12：負責任的消費與生產（Responsible Consumption and Production）
Does the course incorporate AI	● 無（None）
Note