課程資訊
課程名稱
線性代數與視覺化
Linear algebra and its visualization 
開課學期
108-1 
授課對象
生物資源暨農學院  生物環境系統工程學系  
授課教師
胡明哲 
課號
BSE5157 
課程識別碼
622 U5120 
班次
 
學分
3.0 
全/半年
半年 
必/選修
選修 
上課時間
星期四2,3,4(9:10~12:10) 
上課地點
農工九 
備註
總人數上限:30人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1081BSE5157_ 
課程簡介影片
 
核心能力關聯
本課程尚未建立核心能力關連
課程大綱
為確保您我的權利,請尊重智慧財產權及不得非法影印
課程概述

This is a basic subject on matrix theory and linear algebra. Emphasis is given to topics that will be useful in other disciplines, including systems of equations, vector spaces, determinants, eigenvalues, similarity, and positive definite matrices. Visualization of linear algebra is also discussed. 

課程目標
Ch1: Matrices and Gaussian Elimination
Ch2: Vector Spaces
Ch3: Orthogonality
Ch4: Determinants
Ch5: Eigenvalues and Eigenvectors
Ch6: Positive Definite Matrices
Ch7: Computations with Matrices
Ch8: Linear Programming and Game Theory
Appendix B: The Jordan Form 
課程要求
Midterm exam
Final exam
Presentation 
預期每週課後學習時數
 
Office Hours
每週四 14:00~17:00 
指定閱讀
 
參考書目
Linear Algebra and Its Applications, Gilbert Strang 
評量方式
(僅供參考)
 
No.
項目
百分比
說明
1. 
Midterm exam 
30% 
11/07 
2. 
Final exam 
30% 
01/09 
3. 
Presentation 
40% 
 
 
課程進度
週次
日期
單元主題
第1週
09/12  ***** No class 
第2週
09/19  Ch1: Matrices and Gaussian elimination [Transformations: https://www.youtube.com/watch?v=roRR6A3TozM] 
第3週
09/26  Ch2: Vector Spaces {第一組 Presentation: (2.2) Visualization of elimination on column space} [Linear transformation: https://www.youtube.com/watch?v=kYB8IZa5AuE&list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab&index=4&t=0s] 
第4週
10/03  Ch3: Orthogonality (I) {第二組 Presentation: (3.3) Projections and least squares} 
第5週
10/10  ***** National Holiday (No class) 
第6週
10/17  Ch3: Orthogonality (II) {第三組 Presentation: (3.4) Function space and Fourier series} [Presentation: https://blog.xuite.net/lapuda.chen/PaulBlog/221866406-%E5%A6%82%E6%9E%9C%E7%9C%8B%E4%BA%86%E6%AD%A4%E6%96%87%E4%BD%A0%E9%82%84%E4%B8%8D%E6%87%82%E5%82%85%E9%87%8C%E8%91%89%E8%AE%8A%E6%8F%9B%28Fourier+Transform%29%EF%BC%8C%E9%82%A3%E5%B0%B1%E9%81%8E%E4%BE%86%E6%8E%90%E6%AD%BB%E6%88%91%E5%90%A7%21] 
第7週
10/24  Ch4: Determinants {第四組 Presentation: (5.2) Diagonalization of a Matrix} [Eigenvalue problem: http://setosa.io/ev/eigenvectors-and-eigenvalues/] [Determinant: https://www.youtube.com/watch?v=Ip3X9LOh2dk&list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab&index=7&t=82s] 
第8週
10/31  Ch5: Eigenvalues and Eigenvectors (I) {第五組 Presentation: (5.1) Introduction} 
第9週
11/07  ***** Midterm exam
 
第10週
11/14  ***** No class 
第11週
11/21  Ch5: Eigenvalues and Eigenvectors (II) {第六組 Presentation: (5.3) Markov Matrix} {第一組 Presentation: (5.6) Similarity Transformations} [Markov chain: http://setosa.io/ev/eigenvectors-and-eigenvalues/] 
第12週
11/28  Ch6: Positive Definite Matrices (I) {第二組 Presentation: (6.3) Singular value decomposition} 
第13週
12/05  Ch6: Positive Definite Matrices (II) {第三組 Presentation: Principle component analysis (PCA): http://setosa.io/ev/principal-component-analysis/} 
第14週
12/12  ***** No class 
第15週
12/19  Ch7: Computations with Matrices {第四組 Presentation: Introduction to linear algebra/Strang/ (P.372) Singular value decomposition、Linear algebra and its application/Strang/ (P.332-333) image processing} 
第16週
12/26  Ch8 Linear programming & game theory, Linear algebra in probability & statistics {第五組 Presentation: (2.5) Graphs and networks} 
第17週
01/02  Appendix B: The Jordan Form {第六組 Presentation: (Appendix B) The Jordan Form} 
第18週
01/09  ***** Final exam