線性代數的重要性不亞於微積分，除了已經廣泛應用在各個領域之外，對於學生而言也是訓練抽象思考很好的一門課程。本課程希望讓同學了解線性代數的基本概念及應用，並透過此課程培養同學抽象思考的能力，以及訓練同學書寫完整的計算和論證過程。本課程將著重於討論矩陣計算、矩陣分解以及空間結構三個部分。Linear algebra is as important as calculus. In addition to being widely used in various fields, it is also a good course for students to train abstract thinking. This course hopes to allow students to understand the basic concepts and applications of linear algebra, and through this course to cultivate students' ability to think abstractly, and train students to write complete calculation and argumentation processes. This course will focus on three parts: matrix calculation, matrix decomposition and spatial structure.
(1)自編講義
(2)Introduction to Linear Algebra with Applications, 1/e by Jim DeFranza and Daniel Gagliardi, 2009
(3)Elementary Linear Algebra with Supplemental Applications, 11/e by Howard Anton and Chris Rorres, 2011
(4)Linear Algebra with Applications, 7/e by W. Keith Nicholson, 2013
(1) Self-compiled handouts
(2)Introduction to Linear Algebra with Applications, 1/e by Jim DeFranza and Daniel Gagliardi, 2009
(3)Elementary Linear Algebra with Supplemental Applications, 11/e by Howard Anton and Chris Rorres, 2011
(4)Linear Algebra with Applications, 7/e by W. Keith Nicholson, 2013
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 第一次考試第一次考試 first exam |
20 | |
| 期中考期中考 midterm exam |
20 | |
| 第二次考試第二次考試 second exam |
20 | |
| 期末考期末考 final exam |
20 | |
| 平時表現 ( 出席、作業等 )平時表現 ( 出席、作業等 ) Daily performance (attendance, homework, etc.) |
20 |
