Course Syllabus

Course Information：

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

Spring Semester
Year 2026 355748 Management Mathematics 1 3.0 3 ▲ Chiu,Chih-Chou 4BM1 77 0 　

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2026	355748	Management Mathematics	1	3.0	3	▲	Chiu,Chih-Chou	4BM1	77	0

Course Plan：

Instructor Chiu,Chih-Chou　Office Hours

Email chih3c@ntut.edu.tw

Last Updated 2025-12-12 11:49:25

Course Objective 本課程之目的在於教導學生能夠以線性代數中所提供之各種方法來求解線性連立方程組，並奠定研習線型規畫，作業研究，等課程之基礎。由於本系分兩組教學，因應之課程內容分別為：管理組：矩陣、方程式之解、行列式、向量、微分方程式及應用問題等。 The objective of this course is to introduce the linear algebra by using several different methods to solve the linear dependent equations and to build up the fundamental knowledge of linear programming and Operation Research. For the management students, the array, solution of combinatory equations, vectors and vector spaces are included.

Course Schedule 1(02/23) Overview 2(03/02) 課程範例 / 線性系統 / 線性方程式 3(03/09) 矩陣型式，類別 4(03/16) 矩陣運算(相加,相乘) 5(03/23) 矩陣運算(反矩陣計算) (quiz #1) 6(03/30) 矩陣運算(反矩陣計算) 7(04/06) 清明節補假 8(04/13) 矩陣運算(反矩陣計算) 9(04/20) 矩陣性質 10(04/27) 線性系統解(quiz #2) 11(05/04) MidTerm 12(05/11) 行列式 1 13(05/18) 行列式 2 14(05/25) 向量基本概念 (quiz #3) 15(06/01) 向量性質與運算 16(06/08) 向量與線與平面1 17(06/15) 向量與線與平面2 (quiz #4) 18(06/22) Final Exam

Evaluation and grading policy Quizs 20% (=4*5%) Roll call 10% Midterm 35% Final Exam 35%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
線性代數導論, 呂金河編譯 (Kolman/ Introductory Linear Algebra: An Applied First Course 8/e)

The access to curricular consultation 1. Office hour 詢問
2. Google meet 遠距討論
3. Line group 群組訊息分享及討論

Expanding teaching and resources

The course corresponds to the SDGs SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
SDG12：負責任的消費與生產（Responsible Consumption and Production）

Does the course incorporate AI ● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process）

Note
　

Instructor	Chiu,Chih-Chou　Office Hours
Email	chih3c@ntut.edu.tw
Last Updated	2025-12-12 11:49:25
Course Objective	本課程之目的在於教導學生能夠以線性代數中所提供之各種方法來求解線性連立方程組，並奠定研習線型規畫，作業研究，等課程之基礎。由於本系分兩組教學，因應之課程內容分別為：管理組：矩陣、方程式之解、行列式、向量、微分方程式及應用問題等。 The objective of this course is to introduce the linear algebra by using several different methods to solve the linear dependent equations and to build up the fundamental knowledge of linear programming and Operation Research. For the management students, the array, solution of combinatory equations, vectors and vector spaces are included.
Course Schedule	1(02/23) Overview 2(03/02) 課程範例 / 線性系統 / 線性方程式 3(03/09) 矩陣型式，類別 4(03/16) 矩陣運算(相加,相乘) 5(03/23) 矩陣運算(反矩陣計算) (quiz #1) 6(03/30) 矩陣運算(反矩陣計算) 7(04/06) 清明節補假 8(04/13) 矩陣運算(反矩陣計算) 9(04/20) 矩陣性質 10(04/27) 線性系統解(quiz #2) 11(05/04) MidTerm 12(05/11) 行列式 1 13(05/18) 行列式 2 14(05/25) 向量基本概念 (quiz #3) 15(06/01) 向量性質與運算 16(06/08) 向量與線與平面1 17(06/15) 向量與線與平面2 (quiz #4) 18(06/22) Final Exam
Evaluation and grading policy	Quizs 20% (=4*5%) Roll call 10% Midterm 35% Final Exam 35%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No 線性代數導論, 呂金河編譯 (Kolman/ Introductory Linear Algebra: An Applied First Course 8/e)
The access to curricular consultation	1. Office hour 詢問 2. Google meet 遠距討論 3. Line group 群組訊息分享及討論
Expanding teaching and resources
The course corresponds to the SDGs	SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure） SDG12：負責任的消費與生產（Responsible Consumption and Production）
Does the course incorporate AI	● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process）
Note