(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.
介紹線性代數的理論及其應用
Introduction to the theory and applications of linear algebra
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. |
