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 351959 Engineering Optimization Methods and Applications 1 3.0 3 ★ Shih-Wen Chen GAT
DME
機電外國學生專班 4 0 自動化所和機電博班合開

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2025	351959	Engineering Optimization Methods and Applications	1	3.0	3	★	Shih-Wen Chen	GAT DME 機電外國學生專班	4	0	自動化所和機電博班合開

Course Plan：

Instructor Shih-Wen Chen　Office Hours

Email shihwen@mail.ntut.edu.tw

Last Updated 2025-05-25 20:56:38

Course Objective Engineering Optimization Concepts, Linear Programming Methods, Nonlinear Programming Methods, Multi-objective Optimization, Introduction to Modern Mathematical Programming Techniques, and Optimum Design of Precision Machine Components and Systems.

Course Schedule Week 1 (9/8) : Introduction Week 2 (9/15) : Programming with MATLAB Week 3 (9/22) : Basic Math Review Week 4 (9/29) : Basic of Optimization Methods Week 5 (10/6) : Holiday Week 6 (10/13) : One-Dimension Search Week 7 (10/20) : Newton’s Method Week 8 (10/27) : Holiday Week 9 (11/3) : Mid-term project presentation Week 10 (11/10) : Gradient Methods Week 11 (11/17) : Least square method Week 12 (11/24) : Genetic algorithm Week 13 (12/1) : Linear Programming Week 14 (12/8) : Nonlinear Programming Week 15 (12/15) : Numerical Methods Week 16 (12/22) : Optimization under Uncertainty Week 17 (12/29) : Toolbox of MATLAB Week 18 (1/5) : Final Project Presentation

Evaluation and grading policy Homework assignment 40% A mid-term presentation 30% A final presentation 30%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
P. Venkataraman, ‘Applied Optimization with MATLAB programming’, Wiley, 2009 Andreas Antoniou, Wu-Sheng Lu, ‘Practical Optimization: Algorithms and Engineering Applications’, Springer, 2021 Urmila M. Diwekar, ‘Introduction to Applied Optimization’, Springer, 2020 Steven C. Chapra, ‘Applied Numerical Methods with MATLAB for Engineers and Scientists’, McGraw Hill, 2018

The access to curricular consultation Office : Complex Bldg. B09-1
Phone : ext. 4321
Email : shihwen@ntut.edu.tw
Office Hours : 10:00-18:00 (Tues.)

The course corresponds to the SDGs SDG1：消除貧窮（No Poverty）
SDG3：良好健康和福祉（Good Health and Well-being）

Does the course incorporate 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-Wen Chen　Office Hours
Email	shihwen@mail.ntut.edu.tw
Last Updated	2025-05-25 20:56:38
Course Objective	Engineering Optimization Concepts, Linear Programming Methods, Nonlinear Programming Methods, Multi-objective Optimization, Introduction to Modern Mathematical Programming Techniques, and Optimum Design of Precision Machine Components and Systems.
Course Schedule	Week 1 (9/8) : Introduction Week 2 (9/15) : Programming with MATLAB Week 3 (9/22) : Basic Math Review Week 4 (9/29) : Basic of Optimization Methods Week 5 (10/6) : Holiday Week 6 (10/13) : One-Dimension Search Week 7 (10/20) : Newton’s Method Week 8 (10/27) : Holiday Week 9 (11/3) : Mid-term project presentation Week 10 (11/10) : Gradient Methods Week 11 (11/17) : Least square method Week 12 (11/24) : Genetic algorithm Week 13 (12/1) : Linear Programming Week 14 (12/8) : Nonlinear Programming Week 15 (12/15) : Numerical Methods Week 16 (12/22) : Optimization under Uncertainty Week 17 (12/29) : Toolbox of MATLAB Week 18 (1/5) : Final Project Presentation
Evaluation and grading policy	Homework assignment 40% A mid-term presentation 30% A final presentation 30%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes P. Venkataraman, ‘Applied Optimization with MATLAB programming’, Wiley, 2009 Andreas Antoniou, Wu-Sheng Lu, ‘Practical Optimization: Algorithms and Engineering Applications’, Springer, 2021 Urmila M. Diwekar, ‘Introduction to Applied Optimization’, Springer, 2020 Steven C. Chapra, ‘Applied Numerical Methods with MATLAB for Engineers and Scientists’, McGraw Hill, 2018
The access to curricular consultation	Office : Complex Bldg. B09-1 Phone : ext. 4321 Email : shihwen@ntut.edu.tw Office Hours : 10:00-18:00 (Tues.)
The course corresponds to the SDGs	SDG1：消除貧窮（No Poverty） SDG3：良好健康和福祉（Good Health and Well-being）
Does the course incorporate AI	AI5：深入探討AI的原理與應用（Explore the principles and applications of AI in depth）
Note