Course Syllabus

Course Information：

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

Fall Semester
Year 2025 351958 Artificial Intelligence Control 1 3.0 3 ★ Shih-Gang Chen GEE 7 0 預選限15人。

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2025	351958	Artificial Intelligence Control	1	3.0	3	★	Shih-Gang Chen	GEE	7	0	預選限15人。

Course Plan：

Instructor Shih-Gang Chen　Office Hours

Email chensg@ntut.edu.tw

Last Updated 2025-05-23 10:40:35

Course Objective 1 Introduction 2 Application of artificial neural networks (ANN) 2-1 ANN fundamentals 2-2 Neur-control 3 Fuzzy logic control 3-1 Fuzzy logic basics 3-2 Application of Fuzzy Control 4 Genetic algorithms 4-1 Preliminarg 4-2 Tuning of Controllers using genetic algorithms

Course Schedule Week 1: Course Overview, Introduction to Intelligent Control Week 2: Fuzzy Logic Control Week 3: Fuzzy Logic and Approximate Reasoning Week 4: Fuzzy Logic Control System Week 5: Artificial Neural Networks Week 6: Feedforward Neural Networks and Supervised Learning Week 7: Recurrent Neural Networks and Supervised Learning Week 8: Self-organized Neural Networks Week 9: Midterm Exam Week 10: Advanced Intelligent Control Week 11: Genetic Algorithm Week 12: Integrating Fuzzy Systems and Neural Networks Week 13: Lyapunov Stability and Intelligent Control Systems Week 14: Applications of Fuzzy and Neural Networks in Control Week 15: Applications of Fuzzy and Neural Networks in Control Week 16: Applications of Fuzzy and Neural Networks in Control Week 17: Final Report Week 18: Final Report

Evaluation and grading policy Attendance/learning attitude 10% Computer simulation home works 15% Midterm examination 35% Final report and presentation in English 40%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
1. M. Negnevitsky, Artificial Intelligence. Addison Wesley, 2002 2. C. T. Lin and C. S. G. Lee, Neural Fuzzy Systems. Prentice-Hall, 1996 3. Related intelligent control method papers 4. Self-made PPT

The access to curricular consultation 1. Please contact me via email (chensg@mail.ntut.edu.tw)
2. 316 Lab. TA

The course corresponds to the SDGs SDG1：消除貧窮（No Poverty）
SDG2：消除飢餓（Zero Hunger）
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）

Does the course incorporate AI AI2：鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
AI4：簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）
AI5：深入探討AI的原理與應用（Explore the principles and applications of AI in depth）

Note
　

Instructor	Shih-Gang Chen　Office Hours
Email	chensg@ntut.edu.tw
Last Updated	2025-05-23 10:40:35
Course Objective	1 Introduction 2 Application of artificial neural networks (ANN) 2-1 ANN fundamentals 2-2 Neur-control 3 Fuzzy logic control 3-1 Fuzzy logic basics 3-2 Application of Fuzzy Control 4 Genetic algorithms 4-1 Preliminarg 4-2 Tuning of Controllers using genetic algorithms
Course Schedule	Week 1: Course Overview, Introduction to Intelligent Control Week 2: Fuzzy Logic Control Week 3: Fuzzy Logic and Approximate Reasoning Week 4: Fuzzy Logic Control System Week 5: Artificial Neural Networks Week 6: Feedforward Neural Networks and Supervised Learning Week 7: Recurrent Neural Networks and Supervised Learning Week 8: Self-organized Neural Networks Week 9: Midterm Exam Week 10: Advanced Intelligent Control Week 11: Genetic Algorithm Week 12: Integrating Fuzzy Systems and Neural Networks Week 13: Lyapunov Stability and Intelligent Control Systems Week 14: Applications of Fuzzy and Neural Networks in Control Week 15: Applications of Fuzzy and Neural Networks in Control Week 16: Applications of Fuzzy and Neural Networks in Control Week 17: Final Report Week 18: Final Report
Evaluation and grading policy	Attendance/learning attitude 10% Computer simulation home works 15% Midterm examination 35% Final report and presentation in English 40%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes 1. M. Negnevitsky, Artificial Intelligence. Addison Wesley, 2002 2. C. T. Lin and C. S. G. Lee, Neural Fuzzy Systems. Prentice-Hall, 1996 3. Related intelligent control method papers 4. Self-made PPT
The access to curricular consultation	1. Please contact me via email (chensg@mail.ntut.edu.tw) 2. 316 Lab. TA
The course corresponds to the SDGs	SDG1：消除貧窮（No Poverty） SDG2：消除飢餓（Zero Hunger） 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）
Does the course incorporate AI	AI2：鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools） AI4：簡單介紹AI的基本概念（Briefly introduce the basic concept of AI） AI5：深入探討AI的原理與應用（Explore the principles and applications of AI in depth）
Note