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	360861	Control System Lab.	1	1.0	3	★	Jin-Shyan Lee	4EE4B	24	0	預選限24人,5選4實習

Course Plan：

Instructor	Jin-Shyan Lee　Office Hours
Email	jslee@ntut.edu.tw
Last Updated	2026-06-04 12:11:10
Course Objective	Matlab and Simulink, dynamic systems modeling, time-domain analysis, root locus analysis, frequency-domain analysis, PID controller design, lag-lead compensator design, case studies, and special topics.
Course Schedule	Week 1: Introduction Week 2: Matlab Tutorial Week 3: Simulink Tutorial Week 4: Modeling and Simulation Week 5: Time-Domain Analysis Week 6: Root Locus Analysis Week 7: Frequency-Domain Analysis Week 8: PID Controller Design Week 9: Open Lab. Week 10: Delta HMI Week 11: Delta PLC (1/2) Week 12: Delta PLC (2/2) Week 13: Delta VFD Week 14: Delta ASDA (1/2) Week 15: Delta ASDA (2/2) Week 16: Delta Integrated Applications
Evaluation and grading policy	Lab Reports: 70%, Final (hands-on): 25%, Participation: 5%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes 1) Norman S. Nise, Control Systems Engineering, 5-8/e, John Wiley & Sons, 2008-2019 (滄海圖書代理)。 2) 李宜達編著，控制系統設計與模擬：使用MATLAB/SIMULINK (修訂八版)，全華圖書、2011。(舊版二手書亦可，例如2009的修訂六版) 3) Delta Electronics, Operation and Application Manuals. [Online]. Available: http://www.deltaww.com/ia/downloads.
The access to curricular consultation	請email至授課教師洽詢課程相關資訊。
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	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）
Note	*彈性學習/Flexible Learning 一、類別：學生分組實作及討論 二、內容：Week 17: Final (hands-on); Week 18: Open Lab. 三、時數：總共 6 小時。 四、學習成果：Week 17為實作測驗；Week 18為開放實驗室。 五、評量比例：25% *加退選課期間尚未選課成功之同學，請email至授課教師洽詢課程相關資訊。 *課程動態資訊，將更新於北科i學園PLUS。