查詢教學大綱與進度

教學大綱與進度

課程基本資料：

學年期課號課程名稱階段學分時數修教師班級人撤備註

97-2 122158 管理數學 1 3.0 3 ▲ 洪子逸輔導課程 12 6 (限外籍生)

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
97-2	122158	管理數學	1	3.0	3	▲	洪子逸	輔導課程	12	6	(限外籍生)

教學大綱與進度：

教師姓名洪子逸

Email jeffzyh@ms1.hinet.net

最後更新時間 2009-02-19 15:59:33

課程大綱本課程之目的在於教導管理學院學生能夠以線性代數中所提供之各種方法來求解線性連立方程組，並奠定研習線型規畫，作業研究等課程之基礎。課程內容分別為：矩陣、方程式之解、行列式、向量等。 The objective of this course is to introduce the linear algebra to the management students by using several different methods to solve the linear dependent equations so as to build up the fundamental knowledge of Linear Programming and Operations Research. The contents include: matrices, linear equations, determinants, vectors, vector spaces, etc.

課程進度 Week 1 02/18 Introduction to Linear Algebra Week 2 02/25 Linear Equations and Matrices Week 3 03/04 Linear Equations and Matrices Week 4 03/11 Linear Equations and Matrices Week 5 03/18 Determinants Week 6 03/25 Determinants Week 7 04/01 Vectors in Rn Week 8 04/08 Vectors in Rn Week 9 04/15 Midterm Exam Week 10 04/22 Real Vector Spaces Week 11 04/29 Real Vector Spaces Week 12 05/06 Real Vector Spaces Week 13 05/13 Eigenvalues, Eigenvectors, and Diagonalization Week 14 05/20 Eigenvalues, Eigenvectors, and Diagonalization Week 15 05/27 Linear Transformations and Matrices Week 16 06/03 Linear Transformations and Matrices Week 17 06/10 Linear Transformations and Matrices Week 18 06/17 Final Exam

評量方式與標準 Assignments*: 15% Class attendance: 15% (quizzes, performances, etc.) Midterm Exam: 30％ Final Exam: 40％ *: Assignments are DUE at the BEGINNING of each class. LATE assignments are NOT accepted.

使用教材、參考書目或其他 【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】

使用外文原文書：　
Textbook: Kolman, B., & Hill, D. R. (2005). “Introductory Linear Algebra: An Applied First Course,” 8th Ed., Prentice Hall. Reference: Nicholson, W. K. (2003). “Elementary Linear Algebra,” 2nd Ed., McGraw Hill.

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課程對應SDGs指標

備註

教師姓名	洪子逸
Email	jeffzyh@ms1.hinet.net
最後更新時間	2009-02-19 15:59:33
課程大綱	本課程之目的在於教導管理學院學生能夠以線性代數中所提供之各種方法來求解線性連立方程組，並奠定研習線型規畫，作業研究等課程之基礎。課程內容分別為：矩陣、方程式之解、行列式、向量等。 The objective of this course is to introduce the linear algebra to the management students by using several different methods to solve the linear dependent equations so as to build up the fundamental knowledge of Linear Programming and Operations Research. The contents include: matrices, linear equations, determinants, vectors, vector spaces, etc.
課程進度	Week 1 02/18 Introduction to Linear Algebra Week 2 02/25 Linear Equations and Matrices Week 3 03/04 Linear Equations and Matrices Week 4 03/11 Linear Equations and Matrices Week 5 03/18 Determinants Week 6 03/25 Determinants Week 7 04/01 Vectors in Rn Week 8 04/08 Vectors in Rn Week 9 04/15 Midterm Exam Week 10 04/22 Real Vector Spaces Week 11 04/29 Real Vector Spaces Week 12 05/06 Real Vector Spaces Week 13 05/13 Eigenvalues, Eigenvectors, and Diagonalization Week 14 05/20 Eigenvalues, Eigenvectors, and Diagonalization Week 15 05/27 Linear Transformations and Matrices Week 16 06/03 Linear Transformations and Matrices Week 17 06/10 Linear Transformations and Matrices Week 18 06/17 Final Exam
評量方式與標準	Assignments: 15% Class attendance: 15% (quizzes, performances, etc.) Midterm Exam: 30％ Final Exam: 40％ : Assignments are DUE at the BEGINNING of each class. LATE assignments are NOT accepted.
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】使用外文原文書：　 Textbook: Kolman, B., & Hill, D. R. (2005). “Introductory Linear Algebra: An Applied First Course,” 8th Ed., Prentice Hall. Reference: Nicholson, W. K. (2003). “Elementary Linear Algebra,” 2nd Ed., McGraw Hill.
課程諮詢管道
課程對應SDGs指標
備註