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

112-1 323333 線性代數 1 3.0 3 ▲ 陳香君資工一 79 1 　

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
112-1	323333	線性代數	1	3.0	3	▲	陳香君	資工一	79	1

教學大綱與進度：

教師姓名陳香君　教師諮商時間(Office Hours)

Email annette@ntut.edu.tw

最後更新時間 2023-05-30 21:43:56

課程大綱線性代數為科學與工程的基礎數學工具，本課程教授線性代數的基本概念與運算技巧。課程大綱如下：1.線性聯立方程組 2.矩陣 3.行列式 4.二維與三維向量 5.向量空間 6.線性轉換 7.特徵值及特徵向量 Linear algebra is a fundamental mathematics course in science and engineering. In this course, the basic concepts and computation skills of linear algebra will be covered. The course includes the following topics: 1.Systems of linear Equations 2.Matrices 3.Determinants 4.Vectors in R2 and R3 5.Vector spaces 6.Linear transformations 7.Eigenvalues and eigenvectors.

課程進度 WK1-WK4. Systems of linear equations matrix algebra Test #1 WK5-WK9 determinants Introduction to Linear Transformation and matrices Linear Transformation Invertibility and isomorphism wk9 Midterm Exam review Midterm Exam Wk10-wk14 Vector Spaces Linear dependence and linear independence Bases and dimension Test #2 Wk15-wk17 Eigenvalues and Eigenvectors Orthogonality and Least Squares Wk18 Final Exam review \Final Exam

評量方式與標準 1. In-class attendance, Zuvio IRS practice（上課點名/問答）, at most 10%、此為加分項目（點名都到不一定加到滿分）. 2. Homework（課本練習題、紙筆類型）, 10%. Hand in your homework on class. (遲交一天扣10分) The lowest score will be discarded. 3. Programming assignments （程式作業） and MATLAB/Scilab projects （數學套裝軟體專案）, 6%. Submit commands, results, and discussions through ischool. 4. In-class quizzes （隨堂考）, 20%. 計算題 5. Two 50-minute tests （段考）, 12% each. (24%) 計算題 6. Midterm exam and final exam （期中考與期末考）, 20% each. (40%) 選擇題本課程原則上不接受期中撤選，請非本班同學三思後再加選，另人數不得超過教室容量。 Classroom Rules (上課規範): “尊重自己、也尊重他人學習的權益” 1. 請準時上課，不遲到早退。 2. 上課時請專心於此課程之學習，非討論時間請避與他人交談。 3. 如有短暫急事，得在不影響他人上課的情形自行離開教室，並請迅速回座。 4. 如有事無法出席請盡量事先請假，並須有相關證明文件。 5. 習題可討論但勿抄襲。違反以上規範者，將視情節輕重扣分。另請同學共同維護教室整潔。

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：是
Textbook (教科書): David. C. Lay, Stephen R. Lay, and Judy J. McDonald, Linear Algebra and its Applications, Sixth Edition, Pearson Education Limited, 2022. （偉明書局代理） Good References (參考書): 1. Introduction to Linear Algebra with Applications by J. Defranza and D. Gagliardi. 2. Elementary Linear Algebra by Howard Anton. 3. Linear Algebra and Its Applications by Gilbert Strang. 4. Linear Algebra by Stephen H. Friedberg, Arnold J. INSEL, LAWRENCE E. SPENCE

課程諮詢管道 office hour Mon. 10:00-17:00 or by appointment
office location: Hung-Yu Research Tech Building Room 1627

課程對應SDGs指標

備註

教師姓名	陳香君　教師諮商時間(Office Hours)
Email	annette@ntut.edu.tw
最後更新時間	2023-05-30 21:43:56
課程大綱	線性代數為科學與工程的基礎數學工具，本課程教授線性代數的基本概念與運算技巧。課程大綱如下：1.線性聯立方程組 2.矩陣 3.行列式 4.二維與三維向量 5.向量空間 6.線性轉換 7.特徵值及特徵向量 Linear algebra is a fundamental mathematics course in science and engineering. In this course, the basic concepts and computation skills of linear algebra will be covered. The course includes the following topics: 1.Systems of linear Equations 2.Matrices 3.Determinants 4.Vectors in R2 and R3 5.Vector spaces 6.Linear transformations 7.Eigenvalues and eigenvectors.
課程進度	WK1-WK4. Systems of linear equations matrix algebra Test #1 WK5-WK9 determinants Introduction to Linear Transformation and matrices Linear Transformation Invertibility and isomorphism wk9 Midterm Exam review Midterm Exam Wk10-wk14 Vector Spaces Linear dependence and linear independence Bases and dimension Test #2 Wk15-wk17 Eigenvalues and Eigenvectors Orthogonality and Least Squares Wk18 Final Exam review \Final Exam
評量方式與標準	1. In-class attendance, Zuvio IRS practice（上課點名/問答）, at most 10%、此為加分項目（點名都到不一定加到滿分）. 2. Homework（課本練習題、紙筆類型）, 10%. Hand in your homework on class. (遲交一天扣10分) The lowest score will be discarded. 3. Programming assignments （程式作業） and MATLAB/Scilab projects （數學套裝軟體專案）, 6%. Submit commands, results, and discussions through ischool. 4. In-class quizzes （隨堂考）, 20%. 計算題 5. Two 50-minute tests （段考）, 12% each. (24%) 計算題 6. Midterm exam and final exam （期中考與期末考）, 20% each. (40%) 選擇題本課程原則上不接受期中撤選，請非本班同學三思後再加選，另人數不得超過教室容量。 Classroom Rules (上課規範): “尊重自己、也尊重他人學習的權益” 1. 請準時上課，不遲到早退。 2. 上課時請專心於此課程之學習，非討論時間請避與他人交談。 3. 如有短暫急事，得在不影響他人上課的情形自行離開教室，並請迅速回座。 4. 如有事無法出席請盡量事先請假，並須有相關證明文件。 5. 習題可討論但勿抄襲。違反以上規範者，將視情節輕重扣分。另請同學共同維護教室整潔。
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：是 Textbook (教科書): David. C. Lay, Stephen R. Lay, and Judy J. McDonald, Linear Algebra and its Applications, Sixth Edition, Pearson Education Limited, 2022. （偉明書局代理） Good References (參考書): 1. Introduction to Linear Algebra with Applications by J. Defranza and D. Gagliardi. 2. Elementary Linear Algebra by Howard Anton. 3. Linear Algebra and Its Applications by Gilbert Strang. 4. Linear Algebra by Stephen H. Friedberg, Arnold J. INSEL, LAWRENCE E. SPENCE
課程諮詢管道	office hour Mon. 10:00-17:00 or by appointment office location: Hung-Yu Research Tech Building Room 1627
課程對應SDGs指標
備註