教學大綱與進度

課程基本資料：

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
111-2	316192	線性代數	1	3.0	3	★	黃正民	電機一乙	66	4

教學大綱與進度：

教師姓名	黃正民　教師諮商時間(Office Hours)
Email	cmhuang@ntut.edu.tw
最後更新時間	2023-02-22 14:29:08
課程大綱	As a basic mathematics in engineering, the course Linear Algebra emphasizes on the subject of matrix computation (theory) and the technique of mathematical proving. 一、線性連立方程式 二、矩陣基本運算 三、行列式 四、向量空間與基底 五、線性相依與線性獨立 六、線性轉換 七、正交空間 八、特徵值與特徵向量
課程進度	Week 1. Introduction, Vectors, Linear Equations Week 2. Systems of Linear Equations Week 3. Row Reduction and Echelon Forms Week 4. Matrix Operations Week 5. Matrix Equation Ax=b Week 6. Complete Solution to Ax=b Week 7. Inverses of a Matrix Week 8. Cramer’s Rule, Determinants, Cofactors Week 9. Midterm Exam Week 10. Linear Independence Week 11. Subspaces, Basis, Vector Spaces Week 12. Change of Basis, Dimension, Rank Week 13. Eigenvalues and Eigenvectors Week 14. Diagonalization Week 15. Inner Product, Length, Orthogonality Week 16. Orthogonal Projection Week 17. Gram-Schmidt Process Week 18. Final Exam
評量方式與標準	Homework 15% Quiz (closed book) 15% Midterm Exam (closed book) 30% Final Exam (closed book) 35% Attendance 5%
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】 使用外文原文書：是 -Textbook *K. Kuttler , A First Course in Linear Algebra, Open Edition, Lyryx, 2023. https://www.oercommons.org/courses/first-course-linear-algebra/view *David C. Lay, Linear Algebra and Its Applications, 5th ed., Pearson, 2022. -Reference *Gilbert Strang, Introduction to Linear Algebra, 4th ed., Wellesley-Cambridge Press, 2009.
課程諮詢管道	email, 課後教師或助教
課程對應SDGs指標
課程是否導入AI
備註	遠距教學期間上課方式、上課網址 Google Meet 北科 i 學園PLUS -> 課程公告 https://istudy.ntut.edu.tw/