校際選修

115-1 選課時程

進行中

  • 初選第一階段 6/15/2026
  • 初選第二階段 6/22/2026
  • 校際選修 8/24/2026
  • 初選第三階段 8/31/2026
  • 開學後加退選 9/7/2026
  • 逾期加退選 9/21/2026
選課資源

線性代數

Linear Algebra

學期
113-2
學分
3 學分
當期課號
132612
永久課號
BEBN20033
開課單位
生醫光電研究所
授課教師
賈世璿
校區
陽明
類別
選修
上課時間表
週三
7
15:30–16:20
線性代數
YK436
3 節連堂
8
16:30–17:20
9
17:30–18:20

* 根據陽明交大上課時間表所列

概述

Linear algebra is a branch of mathematics that studies systems of linear equations and the properties of matrices. The following topics will be included in this course: System of linear equations Matrix and vector algebra Determinants Eigenvalues and eigenvectors Linear transform Orthogonality Vector spaces Linear time invariant systems

教學方式

Linear algebra is the study of linear systems of equations, vector spaces, and linear transformations. Comfortably applying vectors and matrices is a basic ability of many mathematical procedures used for solving problems in science and engineering. In this class we will concentrate on the mathematical methods of linear algebra. The student will become competent in solving linear equations, performing matrix algebra, calculating determinants, and finding eigenvalues and eigenvectors, applying linear transform, understanding the concept of vector spaces and linear time invariant systems.

評分方式

Homework: 20% Midterm exam: 40% Final exam: 40%

週次計畫
週次主題
第 1 週Course introduction Basic concepts on matrices and vectors
第 2 週System of linear equations and Gaussian elimination
第 3 週The language of set theory Span of a set of vectors Linear dependence and independence
第 4 週Matrix multiplication Invertibility and elementary matrices The inverse of a matrix
第 5 週Linear transformations and matrices Composition and invertibility of linear transformations
第 6 週Determinants
第 7 週Subspaces and their properties Basis and Dimensions Coordinate systems
第 8 週Mid-term exam
第 9 週Eigenvalue, eigenvector, and diagnonalization (I)
第 10 週Eigenvalue, eigenvector, and diagnonalization (II)
第 11 週The geometry of vectors dot product Orthogonal vector and projections
第 12 週Orthogonal vector and projections orthogonal projection matrices
第 13 週Least squares approximation
第 14 週Symmetric matrices
第 15 週Vector spaces and their subspaces Linear transformation
第 16 週Vector spaces: Basis and dimensions Linear operators
第 17 週Final Exam
第 18 週Final Review
教科書

Elementary Linear Algebra - A Matrix Approach, 2nd ed L. E. Spence, A. J. Insel and S. H. Friedberg