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(英文授課)

Linear Algebra

學期
108-1
學分
3 學分
當期課號
1251
永久課號
DCP1234
開課單位
資訊學院共同課程
授課教師
易志偉
校區
光復
類別
必修
上課時間表
週三
週五
3
10:10–11:00
線性代數(英文授課)
EC114
2 節連堂
4
11:10–12:00
7
15:30–16:20
線性代數(英文授課)
EC114

* 根據陽明交大上課時間表所列

概述

Goals of the Course: This is an introductory course in Linear Algebra over the real scalar field. The goal of the course is to impart the concepts and techniques of modern linear algebra. At the end of this course, students should be able to explain the concepts of linear algebra and to apply the theory to examples. Course Outline: 1. Solving the linear equation Ax=b by Gaussian elimination and Gaussian-Jordan elimination. 2. Properties of matrices and determinants. 3. Vector spaces: basis, dimension, change of basis, and solving Ax = b. 4. Linear transformations: the kernel and range of a linear transformation, transition matrices and similarity. 5. Inner product spaces: geometric structures (such as distance, angle, and etc.), orthogonalization by Gram-Schmidt, and least square analysis. 6. Eigenvalues and eigenvectors: diagonalization and orthogonal diagonalization of symmetric matrices.

先修科目

No pre-requisite courses

教學方式

https://e3new.nctu.edu.tw/

評分方式

Attendance: 10% Homework and Project: 20% Exam: 10% +30% +30%

週次計畫
週次主題
第 1 週Introduction to this course Linear systems: What are linear equations? What are solutions of linear equations? What are linear systems? What are the solutions of linear systems? The number of solutions of linear systems Row echelon form Gaussian elimination and back-substitution Reduced row echelon form and Gauss-Jordan elimination Examples of Gauss-Jordan elimination
第 2 週Applications of linear systems: Polynomial curve fitting Matrices: Notation of matrices Matrix operations Transpose of Matrices
第 3 週Matrices: Product inverse of matrices Elementary row matrices Inverse and elementary row matrices LU-Factorization Some applications
第 4 週10/10(五) 國慶日 Preliminary Test #1
第 5 週Determinants: Recursive definition Row & column decomposition Determinants v.s. elementary row operations Cramer's rule
第 6 週Preliminary Test #2
第 7 週Vector Spaces Section 3-1: Definition and Examples How to verify vector spaces Rn, Rmxn, Pn, Cn[a,b]
第 8 週Vector Spaces Section 3-2: Subspaces How to verify subspaces Nullspace Section 3-3: Linear Independence Linearly dependent and linearly independent How to verify linearly dependent and independent
第 9 週Section 3-4: Basis and Dimension What is bases? The dimension of a vector space Finite-dimensional and infinite-dimensional Section 3-5: Change Basis Ordered bases Coordinates of vectors Change coordinates on different bases Section 3-6: Row Space and Column Space The row space column space under elementary row operations Rank and Nullity The Consistency Theorem
第 10 週Midterm #1 Linear Transformations Section 4-1: Definition and Examples The definition of linear transformations Examples Kernels and ranges of linear transformations Dimensions of kernels and ranges Section 4-2: Matrix Representations of Linear Transformations
第 11 週Linear Transformations Section 4-3: Similarity Applications of Linear Transformations Orthogonality Section 5-1: The Scalar Product in Rn
第 12 週12/3(三) 全校運動會 Orthogonality Section 5-4: Inner Product Spaces Section 5-5: Orthonormal Sets
第 13 週Midterm #2 Orthogonality Section 5-6: The Gram-Schmidt Orthogonalization Process Section 5-6: The Gram-Schmidt Orthogonalization Process QR Factorization
第 14 週Orthogonality Section 5-2: Orthogonal Subspaces Section 5-3: Least Squares Problems Eigenvalues Section 6-1: Eigenvalues and Eigenvectors
第 15 週Midterm #3 Eigenvalues Section 6-3: Diagonalization Section 6-4: Hermitian Matrices
第 16 週Eigenvalues Section 6-5: The Singular Value Decomposition
第 17 週Eigenvalues Section 6-6: Quadratic Forms Section 6-7: Positive Definite Matrices
第 18 週Final Exam
教科書

Steven J. Leon, Linear Algebra with Applications, 8th ed., Pearson Prentice Hall. 【提醒~尊重智財權】 1. 請同學勿使用非法教科書 2. 請尊重與保護智慧財產權勿非法下載及影印有版權之檔案

Office Hours
地點
EC432
時間
Friday 12:00-14:00
聯絡方式
Email: cwyi@nctu.edu.tw Phine: (03)5131346