教學大綱 Syllabus

科目名稱:線性代數

Course Name: Linear Algebra

修別:選

Type of Credit: Elective

3.0

學分數

Credit(s)

90

預收人數

Number of Students

課程資料Course Details

課程簡介Course Description

The objective of this course is to provide the students with the essential and fundamental concepts of elementary linear algebra. At the end of this course, the students should be able to apply the tool of linear algebra to other topics, especially those statistics related. (修過上學期課程同學,一律開放加簽,請在開學第一週週五前寫信給老師) (原授課教師薛慧敏教授因故請長假,由吳漢銘老師接替授課)

核心能力分析圖 Core Competence Analysis Chart

能力項目說明


    課程目標與學習成效Course Objectives & Learning Outcomes

    The topics include linear equations and matrices, determinants, eigenvalues, eigenvectors, diagonalization, orthogonality, general vector spaces and statistical applications.

    每周課程進度與作業要求 Course Schedule & Requirements

    課程主題

    課程內容與指定閱讀

    教學活動與作業

    1

    4.1: Intro on Eigenvalues and eigenvectors;

    4.2: determinants

    4.1, 4.2

    4.1, 4.2

    2

    4.2: Determinants

    4.2

    4.2

    3

    4.3: Eigenvalues and eigenvectors

    4.3

    4.3

    4

    4.3; 4.4: Similarity and diagonalization

    複習4.1-4.4

    4.4(I)

    5

    Exam I

     

    段考一

    6

    4.4: Similarity and diagonalization

    4.4(II)

    4.4(II)

    7

    4.4: Similarity and diagonalization

    4.4(III), 6.3, 6.6

    4.4(III), 6.3, 6.6

    8

    6.3, 6.5: Change-of-basis;

    4.6: Application on Markov chain

    4.6

    4.6

    9

    5.1: Orthogonality in R^n

    複習4.4-5.1

    5.1

    10

    Exam II

     

    段考二

    11

    5.2: Orthogonal complements and projections

    5.2

    5.2

    12

    5.3: Gram-Schmidt process  & QR factorization;

    5.4: Orthogonal diagonalization of symmetric matrices

    5.3

    5.3

    13

    5.4; 5.5: Application on Quadratic forms

    5.4

    5.4

    14

    校慶運動會

     

    停課

    15

    Supplementary: application on PCA

    複習:5.2-5.5

    5.5

    16

    Final exam

     

    期末考

     

    每週繳交課本每節勾選習題約10+題。

    授課方式Teaching Approach

    100%

    講述 Lecture

    0%

    討論 Discussion

    0%

    小組活動 Group activity

    0%

    數位學習 E-learning

    0%

    其他: Others:

    評量工具與策略、評分標準成效Evaluation Criteria

    Weekly assignment: 22%

    Attendance and participation: 15%

    TA class: 3%

    Mid term1, mid term 2 and final exam: 60%

    (評量方式有不同方案,會在第一週由同學票選決定)

    指定/參考書目Textbook & References

    Textbook

    Linear Algebra-A Modern Introduction, by David Poole.

    Reference

    Introductory Linear Algebra, 8/E 2005, by Bernard Kolman & David R. Hill.

    Methods of Multivariate Analysis, 2/E, by Alvin C. Rencher.

     

     

    已申請之圖書館指定參考書目 圖書館指定參考書查詢 |相關處理要點

    維護智慧財產權,務必使用正版書籍。 Respect Copyright.

    本課程可否使用生成式AI工具Course Policies on the Use of Generative AI Tools

    完全開放使用 Completely Permitted to Use

    課程相關連結Course Related Links

    課程公告、規定及進度,請見教學網站:
    https://hmwu.idv.tw/

    課程附件Course Attachments

    課程進行中,使用智慧型手機、平板等隨身設備 To Use Smart Devices During the Class

    Yes

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