Course Syllabus

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Course Syllabus

Course Information：

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

Spring Semester
Year 2025 340032 Special subjects for intelligent factory (II) 1 3.0 3 ★ Chang, Shih-Hao
Chang, Ching-Yuan 4ME3A
4ME3B 16 5 大三合開；限40人

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2025	340032	Special subjects for intelligent factory (II)	1	3.0	3	★	Chang, Shih-Hao Chang, Ching-Yuan	4ME3A 4ME3B	16	5	大三合開；限40人

Course Plan：

Instructor Chang, Ching-Yuan

Email chang@mail.ntut.edu.tw

Last Updated 2024-12-20 12:58:39

Course Objective 本課程設計的是鏈結AOI與雷射加工產業，與智能廠接軌共同來解決產業實際應產業之問題與需求。設計課程分成三階段，分別為課程講授、業師實作討論、業師實務專題，三階段前後銜接，循序漸進課程讓學全接觸AOI與雷射加工技術。第一部分課程講授主要為基礎之理論傳授，訂立實驗目標、計畫實驗過程、課後評量，予以教學反饋；第二部分實作與討論，採讓學進雷射相關的實驗設計與操作，融會貫通所學理論，培育其實作技能，藉由組與業師討論，練習規劃實驗，實驗安排由簡入深，從認識機台種類系統之光路架設、最終參數的調整等，並藉由組討論記錄表，予以教學回饋；第三部分為企業命題之實務專題，請業師提供產業實務問題，並由產業負責專題內容，讓學了解前業界發展向、業界現況與製程瓶頸等，將理論課程更實務鏈結到雷射應，期末進實務成果發表展與評選，培育其解決實務問題之能。 The first part of the course, classroom instruction, primarily focuses on imparting foundational theory, setting experimental objectives, planning the experimental process, conducting post-assessments, and providing instructional feedback. The second part involves hands-on practical work and discussions. Students engage in experimental design and operations related to laser technology, integrating the theoretical knowledge acquired earlier. Through group discussions with industry experts, they learn to plan experiments, starting with understanding different types of machinery, optical path configurations, and parameter adjustments. Discussion records are used to provide instructional feedback. The third part consists of practical projects based on industry propositions. Industry experts present real-world industry problems, and students work on projects related to these topics. This segment allows students to gain insights into industry trends, current industry conditions, and manufact

Course Schedule 週數單元主題作業/測驗備註第1週生產系統簡介第2週智能化模型作業第3週關聯式模型第4週智能排單方式測驗第5週智能加工方式第6週智能量測方式測驗第7週品管、組裝、倉儲作業第8週品管、組裝、倉儲作業第9週期中考測驗第10週工業物聯網潛在威脅第11週工業物聯網潛在威脅作業第12週工業控制的風險評鑑第13週工業控制的風險評鑑作業第14週工控資安第15週工控資安作業第16週工業控制系統開發標準第17週工業控制系統組件檢測標準

Evaluation and grading policy 1.期中考試佔30%：上機考試。 2.期末考試佔30%：上機考試。 3.平時成績佔40%：包括作業、出席率、上課狀況等。

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
自編教材

The access to curricular consultation 本課程除了介紹智能工業生產教學工廠之外，更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，讓學生更了解技術原理的實際應用情境。若有其他的問題可以與老師用 Email 聯絡。

The course corresponds to the SDGs SDG7：可負擔的潔淨能源（Affordable and Clean Energy）

Does the course incorporate AI

Note
　

Instructor	Chang, Ching-Yuan
Email	chang@mail.ntut.edu.tw
Last Updated	2024-12-20 12:58:39
Course Objective	本課程設計的是鏈結AOI與雷射加工產業，與智能廠接軌共同來解決產業實際應產業之問題與需求。設計課程分成三階段，分別為課程講授、業師實作討論、業師實務專題，三階段前後銜接，循序漸進課程讓學全接觸AOI與雷射加工技術。第一部分課程講授主要為基礎之理論傳授，訂立實驗目標、計畫實驗過程、課後評量，予以教學反饋；第二部分實作與討論，採讓學進雷射相關的實驗設計與操作，融會貫通所學理論，培育其實作技能，藉由組與業師討論，練習規劃實驗，實驗安排由簡入深，從認識機台種類系統之光路架設、最終參數的調整等，並藉由組討論記錄表，予以教學回饋；第三部分為企業命題之實務專題，請業師提供產業實務問題，並由產業負責專題內容，讓學了解前業界發展向、業界現況與製程瓶頸等，將理論課程更實務鏈結到雷射應，期末進實務成果發表展與評選，培育其解決實務問題之能。 The first part of the course, classroom instruction, primarily focuses on imparting foundational theory, setting experimental objectives, planning the experimental process, conducting post-assessments, and providing instructional feedback. The second part involves hands-on practical work and discussions. Students engage in experimental design and operations related to laser technology, integrating the theoretical knowledge acquired earlier. Through group discussions with industry experts, they learn to plan experiments, starting with understanding different types of machinery, optical path configurations, and parameter adjustments. Discussion records are used to provide instructional feedback. The third part consists of practical projects based on industry propositions. Industry experts present real-world industry problems, and students work on projects related to these topics. This segment allows students to gain insights into industry trends, current industry conditions, and manufact
Course Schedule	週數單元主題作業/測驗備註第1週生產系統簡介第2週智能化模型作業第3週關聯式模型第4週智能排單方式測驗第5週智能加工方式第6週智能量測方式測驗第7週品管、組裝、倉儲作業第8週品管、組裝、倉儲作業第9週期中考測驗第10週工業物聯網潛在威脅第11週工業物聯網潛在威脅作業第12週工業控制的風險評鑑第13週工業控制的風險評鑑作業第14週工控資安第15週工控資安作業第16週工業控制系統開發標準第17週工業控制系統組件檢測標準
Evaluation and grading policy	1.期中考試佔30%：上機考試。 2.期末考試佔30%：上機考試。 3.平時成績佔40%：包括作業、出席率、上課狀況等。
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No 自編教材
The access to curricular consultation	本課程除了介紹智能工業生產教學工廠之外，更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，讓學生更了解技術原理的實際應用情境。若有其他的問題可以與老師用 Email 聯絡。
The course corresponds to the SDGs	SDG7：可負擔的潔淨能源（Affordable and Clean Energy）
Does the course incorporate AI
Note