課程資訊
課程名稱
線性代數
LINEAR ALGEBRA 
開課學期
97-1 
授課對象
管理學院  科技管理組  
授課教師
張時中 
課號
BA2003 
課程識別碼
701 17100 
班次
 
學分
全/半年
半年 
必/選修
必帶 
上課時間
星期五7,8,9(14:20~17:20) 
上課地點
管一101 
備註
本課程中文授課,使用英文教科書。
限本系所學生(含輔系、雙修生)
總人數上限:70人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/971Linear_Algebra_TM 
課程簡介影片
 
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課程概述

1. Systems of Linear Equations
2. Matrices
3. Determinants
4. Vector Spaces
5. Inner Product Spaces
6. Linear Transformations
7. Eigenvalues and eigenvectors
 

課程目標
1. 介紹線性代數主要觀念
2. 熟悉線性代數描述與解題方法
3. 應用線性代數於經濟、管理、工程問題 
課程要求
無 
預期每週課後學習時數
 
Office Hours
每週三 12:00~15:00
每週一 12:00~13:00 
指定閱讀
 
參考書目
Textbook
[LEF09] R. Larson, D. C. Falvo, Elementary Linear Algebra, 6th ed,, Houghton Mifflin, 2009. (高立圖書公司代理)

References
[Str09] G. Strang, Introduction to Linear Algebra, Wellsley-Cambridge Press, 2003.
[Wil04] Gareth Williams, Linear Algebra with Applications, 5th ed, Jones and Bartlett Publishers, 2004. (滄海)

 
評量方式
(僅供參考)
 
No.
項目
百分比
說明
1. 
期中考 
40% 
 
2. 
期末考 
40% 
 
3. 
作業 
10% 
 
4. 
報告 
10% 
 
5. 
參與 
0% 
extra 5% 
 
課程進度
週次
日期
單元主題
Week 1
9/19  Course Overview; Systems of Linear Equations; Gaussian and Gauss-Jordan Elimination; Applications: Economics and Management and Engineering (Chap. 1) 
Week 2
9/26  Gauss-Jordan Elimination; Operations with Matrices; Properties; Applications (Secs.1.2, 2.1-2.2)  
Week 3
10/03  Inverse; Elementary Matrices; Applications;
MATLAB tutorial (Secs.2.3-2.5)
 
Week 4
10/10  Holliday (National Day) 
Week 5
10/17  Determinants; Evaluation of a Determinant Using Elementary Operations; Applications (Secs.3.1-3.3)  
Week 6
10/24  Properties; Introduction to Eigenvalues; Applications (Secs 3.3-3.5) 
Week 7
10/31  Vectors; Vector Spaces; Subspaces (Secs.4.1-4.3) 
Week 8
11/07  Spanning Sets and Linear Independence; Basis and Dimension; Applications (Secs.4.4-4.5) 
Week 9
11/14  Rank of a Matrix and Systems of Linear Equations; Coordinates and Change of Basis; Applications (Secs.4.6-4.7) 
Week 10
11/21  Mid-Term Exam (Chaps. 1-4.6) 
Week 11
11/28  Coordinates and Change of Basis (Cont.); Length and Dot Product; Inner Product Spaces; Applications (Secs.4.7, 5.1-5.2) 
Week 12
12/05  Orthonormal Bases; Mathematical Models and
Least Squares Analysis; Applications and term project discussions (Secs.5.3-5.5)
 
Week 13
12/12  Linear Transformation; The Kernel and Range of a Linear Transformation; Applications (Secs.6.1-6.2) 
Week 14
12/19  Matrices for Linear Transformations; Transition Matrices and Similarity; Applications (Secs.6.3-6.4) 
Week 15
12/26  Transition Matrices and Similarity; Applications; Eigenvalues and Eigenvectors; Applications (Secs.6.4-7.1) 
Week 16
1/02  Diagonalization; Symmetric Matrices and
Orthogonal Diagonalization; Applications (Secs.7.2-7.3)
 
Week 17
1/09  Symmetric Matrices and Orthogonal
Diagonalization; Introduction to Matrix Computation and Applications (Secs.7.3-7.4)
 
Week 18
1/16  Final Exam