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	364883	Engineering Optimization Methods and Applications	1	3.0	3	★	Shih-Wen Chen	GAT DME 機電外國學生專班	0	0	EMI,自動化所和機電博(外生)班合開

Course Plan：

Instructor	Shih-Wen Chen　Office Hours
Email	shihwen@mail.ntut.edu.tw
Last Updated	2026-06-06 17:11:26
Course Objective	Engineering Optimization Concepts, Linear Programming Methods, Nonlinear Programming Methods, Multi-objective Optimization, Introduction to Modern Mathematical Programming Techniques, and Deep Learning.
Course Schedule	Week 1 (9/7) : Introduction Week 2 (9/14) : Programming with MATLAB Week 3 (9/21) : Basic of Optimization Methods Week 4 (9/28) : Holiday Week 5 (10/5) : One-Dimension Search Week 6 (10/12) : Newton’s Method Week 7 (10/19) : Gradient Methods Week 8 (10/26) : Holiday Week 9 (11/2) : Mid-term project presentation Week 10 (11/9) : Holiday Week 11 (11/16) : Neural Network Week 12 (11/23) : Genetic algorithm Week 13 (11/30) : Linear Programming Week 14 (12/7) : Nonlinear Programming Week 15 (12/14) : Toolbox of MATLAB Week 16 (12/21) : Reinforcement learning Week 17 (12/28) : Final Project Preparation Week 18 (1/4) : 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.)
Expanding teaching and resources	● 數位教材資源應用 (Application of Digital Resources) 採用影音多媒體或具開放授權之資源（如OCW、開放教科書）作為主要或輔助教材。 Adopts multimedia or open-licensed resources (e.g., OCW, Open Textbooks) as primary or supplementary teaching materials.
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	● 深入探討AI的原理與應用（Explore the principles and applications of AI in depth）
Note	一 類別 參與課程相關作業 二 內容 17 週課程相關論文研讀及程式應用 18 週展示17週結果 三 時數 6 小時 四 學習成果 繳交報告與程式 五 評量比例 佔學期成績 30%