課程資訊
 課程名稱 管理數學MATHEMATICS FOR MANAGEMENT 開課學期 96-1 授課對象 財務金融學系 授課教師 謝承熹 課號 Fin2009 課程識別碼 703 30500 班次 01 學分 3 全/半年 半年 必/選修 必修 上課時間 星期一6,7,8(13:20~16:20)星期二@,5(~13:10) 上課地點 管二102管二202 備註 週二中午實習課。本課程中文授課,使用英文教科書。限管理學院學生(含輔系、雙修生)總人數上限：80人外系人數限制：10人 課程簡介影片 核心能力關聯 核心能力與課程規劃關聯圖 課程大綱 為確保您我的權利,請尊重智慧財產權及不得非法影印 課程概述 Syllabus for `Managerial Mathematics` Cheng-Hsi Hsieh (謝承熹) E-Mail: chhsieh@mail.ntcb.edu.tw Class Time: 2:20 p.m. - 5:20 p.m. on Monday, 2006 This is a one-semester course which represents an introduction to linear algebra. Moreover, some of its significant applications which relate to finance, econometric analysis, multivariate statistical analysis may be included. Students are required to have the background of calculus and to STUDY HARD. Also, discussion between students after classes are STRONGLY encouraged, sometimes are necessary, for better understanding the contents. Textbook: Kolman and Hill, Introductory Linear Algebra: An Application-Oriented First Course, 8th Edition, Pearson Education, 2004. Students will be evaluated by the following elements: 1. Mid-term examination: 35% 2. Final examination: 35% 3. Lab Session: 30% Course Schedule: (a) Linear Equation and Matrices. Linear Systems. Matrices. Dot Product and Matrix Multiplication. Properties of Matrix Operations. Matrix Transformations. Solutions of Linear Systems of Equations. (b) Determinants. Definition and Properties. Cofactor Expansion and Applications. Determinants from a Computational Point of View. (c) Vectors in Rn. Vectors in the Plane. n-Vectors. Linear Transformations. (d) Supplement Handout. Calculus and Matrix Algebra, Optimization, Constrained Optimization, Partitioning the Mean Vector and Covariance Matrix (e) Supplement Handout. Mathematics of Portfolio Frontier (f) Real Vector Spaces. Real Vector Spaces. Subspaces. Linear Independence. Basis and Dimension. Homogeneous Systems. The Rank of a Matrix and Applications. Orthonormal Bases in Rn. Orthogonal Complements. (g) Eigenvalues, Eigenvectors, and Diagonalization. Eigenvalues and Eigenvectors. Diagonalization and Similar Matrices. Diagonalization and Symmetric Matrices. (h) Supplement Handout. Concept of Complete Market, Property of OLS, Guass-Markov Result 課程目標 課程要求 預期每週課後學習時數 Office Hours 參考書目 指定閱讀 評量方式(僅供參考)
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