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 349618 Optimization for Engineering Systems 1 3.0 3 ★ LEE WEN-SHING GRACE 13 0 計中電腦教室

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2025	349618	Optimization for Engineering Systems	1	3.0	3	★	LEE WEN-SHING	GRACE	13	0	計中電腦教室

Course Plan：

Instructor LEE WEN-SHING　Office Hours

Email f10911@ntut.edu.tw

Last Updated 2025-06-07 15:24:24

Course Objective 課程內容包含：智慧演算法基本用法及介紹、資料分析、迴歸方法、系統元件數值模建立、數值計算方法、系統性能模擬及數值佳化方法。 These course contents include: basic usage and introduction to intelligent algorithms, data analysis, regression methods, numerical model establishment for system components, numerical computation methods, and system performance simulation and numerical optimization methods.

Course Schedule 1. 課程評分公告 2. 智慧演算法基本用法 3. 粒子族群演算法教學 4. 隨機森林演算法教學 5. 資料回歸分析使用 6. 系統元件架構運算 7. 數值分析 1. Course Grade Announcement 2. Basic Usage of Intelligent Algorithms 3. Particle Swarm Optimization (PSO) Algorithm Tutorial 4. Random Forest Algorithm Tutorial 5. Application of Data Regression Analysis 6. System Component Architecture Computation 7. Numerical Analysis

Evaluation and grading policy Midterm exam 30% Final exam 30% General. Performance and reports 40%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
系統佳化外文書

The access to curricular consultation 聯絡方式:綜科大樓419室
Email:f10911@ntut.edu.tw
網址:https://istudy.ntut.edu.tw/learn/index.php

Expanding teaching and resources

The course corresponds to the SDGs 無（None）

Does the course incorporate AI ● 無（None）

Note
f10911@ntut.edu.tw
綜合科館 419室分機3515
網址:https://istudy.ntut.edu.tw/learn/index.php

Instructor	LEE WEN-SHING　Office Hours
Email	f10911@ntut.edu.tw
Last Updated	2025-06-07 15:24:24
Course Objective	課程內容包含：智慧演算法基本用法及介紹、資料分析、迴歸方法、系統元件數值模建立、數值計算方法、系統性能模擬及數值佳化方法。 These course contents include: basic usage and introduction to intelligent algorithms, data analysis, regression methods, numerical model establishment for system components, numerical computation methods, and system performance simulation and numerical optimization methods.
Course Schedule	1. 課程評分公告 2. 智慧演算法基本用法 3. 粒子族群演算法教學 4. 隨機森林演算法教學 5. 資料回歸分析使用 6. 系統元件架構運算 7. 數值分析 1. Course Grade Announcement 2. Basic Usage of Intelligent Algorithms 3. Particle Swarm Optimization (PSO) Algorithm Tutorial 4. Random Forest Algorithm Tutorial 5. Application of Data Regression Analysis 6. System Component Architecture Computation 7. Numerical Analysis
Evaluation and grading policy	Midterm exam 30% Final exam 30% General. Performance and reports 40%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes 系統佳化外文書
The access to curricular consultation	聯絡方式:綜科大樓419室 Email:f10911@ntut.edu.tw 網址:https://istudy.ntut.edu.tw/learn/index.php
Expanding teaching and resources
The course corresponds to the SDGs	無（None）
Does the course incorporate AI	● 無（None）
Note	f10911@ntut.edu.tw 綜合科館 419室分機3515 網址:https://istudy.ntut.edu.tw/learn/index.php