(1) Linear independence and basis.
(2) Linear transformation and its representation.
(3) Inner product spaces and Gram Schmidt process.
(4) Eigenvalue and eigenvector.
(5) Diagonalization and applications in statistics and conic sections.(1) Linear independence and basis.
(2) Linear transformation and its representation.
(3) Inner product spaces and Gram Schmidt process.
(4) Eigenvalue and eigenvector.
(5) Diagonalization and applications in statistics and conic sections.
本課程為進階課程，課程著重於廣義向量空間、子空間與內積向量空間的特性及其相關應用，包括：向量空間的同構、向量空間之線性轉移、矩陣反矩陣、函數反函數、矩陣的對角線化、向量的正交性等問題的性質及其相關應用。
This course is an advanced course. The course focuses on the characteristics and related applications of broad vector space, subspace and internal vector space, including: the synonym of vector space, linear shift of vector space, matrix inverse function, function inverse function, the angular linearization of matrix, vector orthogonality and other problems.
Elementary Linear Algebra with Applications, Kolman and Hill, 9th ed.
elementary linear algebra with applications, KO romance and hill, 9the.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| quiz 1quiz 1 quiz 1 |
20 | Do not miss the test. |
| midtermmidterm midterm |
30 | Do not miss the test. |
| quiz 2quiz 2 quiz 2 |
20 | Do not miss the test. |
| finalfinal Final |
30 | Do not miss the test. |
