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	364209	Introduction to Automation System	1	3.0	3	★	Chih-Jer Lin	GAT SSRT 半導體學位學程	2	0	自動化所、智慧鐵道和創新半導體合開,計中電腦教室

Course Plan：

Instructor	Chih-Jer Lin　Office Hours
Email	cjlin@ntut.edu.tw
Last Updated	2026-06-03 17:02:46
Course Objective	自動化機械簡介，規劃及設計，驅動器，感測器可程式控制，氣液壓迴路控制，電腦介面控制，自動化系統實例介紹及應用。
Course Schedule	Week 1 Introduction to control systems and microprocessor-based control Week 2 Singnal conditioning and OP Amplifiers Week 3 Switchs, Relay and power-control semiconductors Week 4 Mechanical systems Week 5 Sensors Week 6 Sensors Week 7 Direct current motors Week 8 Stepper Motors Week 9 Alternating current motors Week 10 Midterm test Week 11 Actuators: Electric, Hydraulic, and Pneumatic Week 12 Relay and PLC Week 13 Relay and PLC Week 14 Relay and PLC Week 15 feedback control principles Week 16 feedback control principles Week 17 final test & 各組針對自選自動化系統實作之報告,全班參與。 Week 18 針對17 週各組報告及課堂提問,各組歸納出一份簡報,並在課堂中用 15 分鐘報告。
Evaluation and grading policy	1 mid-term examinations 30% 2 homework 30% 3 final test 20% 4. final report 20%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Modern control technology: components and systems 2nd edition , Kilian, ISBN 0-7668-2358-X
The access to curricular consultation	本學期原則採實體授課方式；因應疫情警戒標準，本學期教學及授課方式請依照學校網頁所公布之訊息為準： (https://oaa.ntut.edu.tw/p/404-1008-98622.php?Lang=zh-tw) 因應疫情防疫規定，可能調整教學方式(遠距教學或分流上課) 1.使用教學軟體: google meet 2. 遠距教學之連結:Meet.google.com/wnm-qaqn-ovt
Expanding teaching and resources	● 參與式創新教學 (Participatory & Innovative Teaching) 強調學生參與與產出，導入翻轉、PBL/專題、設計思考或遊戲化等策略。 Emphasizes student engagement and outcomes by adopting strategies such as Flipped Classroom, PBL (Problem/Project- Based Learning), Design Thinking, or Gamification. ● 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） SDG12：負責任的消費與生產（Responsible Consumption and Production）
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）
Note	彈性學習/Flexible Learning 一、類別 (可複選) □學生分組實作及討論 二、內容 (1)第 17 週:各組針對自選自動化系統實作之報告,全班參與。 (2)第 18 週:針對17 週各組報告及課堂提問,各組歸納出一份簡報,並在課堂中用 15 分鐘報告。 三、時數 總共 6 小時。 四、學習成果 第 16 週課程結束前各組須繳交第 17 週之書面報告；第 18 週上課前需繳交歸納簡報。 五、評量比例 (1)final test:20% (2)17-18 週課堂報告表現:20%