課程大綱 Syllabus |
學生學習目標 Learning Objectives |
單元學習活動 Learning Activities |
學習成效評量 Evaluation |
備註 Notes |
序 No. | 單元主題 Unit topic |
內容綱要 Content summary |
1 | Matrices and Systems of Equations (1) |
1. Systems of Linear Equations
2. Row Echelon Form |
1. Systems of Linear Equations
2. Row Echelon Form |
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2 | Matrices and Systems of Equations (2) |
1. Matrix Algebra |
1. Matrix Algebra |
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3 | Matrices and Systems of Equations (3) |
1. Elementary Matrices
2. Partitioned Matrices |
1. Elementary Matrices
2. Partitioned Matrices |
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4 | Determinants (1) |
1. The Determinant of a Matrix |
1. The Determinant of a Matrix |
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5 | Determinants (2) |
1. Properties of Determinants
2. Cramer's Rule |
1. Properties of Determinants
2. Cramer's Rule |
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6 | Vector Spaces (1) |
1. Definition and Examples
2. Subspaces |
1. Definition and Examples
2. Subspaces |
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7 | Vector Spaces (2) |
1. Linear Independence
2. Basis and Dimension |
1. Linear Independence
2. Basis and Dimension |
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8 | Vector Spaces (3) |
1. Change of Basis
2. Row Space and Column Space |
1. Change of Basis
2. Row Space and Column Space |
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9 | 期中考 |
期中考 |
期中考 |
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10 | Linear Transformations |
1. Definition and Examples
2. Matrix Representations of Linear Transformations
3. Similarity |
1. Definition and Examples
2. Matrix Representations of Linear Transformations
3. Similarity |
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11 | Orthogonality (1) |
1. The Scalar Product in R^n
2. Orthogonal Subspaces |
1. The Scalar Product in R^n
2. Orthogonal Subspaces |
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12 | Orthogonality (2) |
1. Least Squares Problems
2. Inner Produce Spaces |
1. Least Squares Problems
2. Inner Produce Spaces |
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13 | Orthogonality (3) |
1. Orthonormal Sets
2. The Gram-Schmidt Orthogonalization Process |
1. Orthonormal Sets
2. The Gram-Schmidt Orthogonalization Process |
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14 | Eigenvalues (1) |
1. Eigenvalues and Eigenvectors
2. Systems of Linear Differential Equations |
1. Eigenvalues and Eigenvectors
2. Systems of Linear Differential Equations |
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15 | Eigenvalues (2) |
1. Diagonalization
2. Hermitian Matrices |
1. Diagonalization
2. Hermitian Matrices |
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16 | Eigenvalues (3) |
1. The Singular Value Decomposition
2. Quadratic Forms |
1. The Singular Value Decomposition
2. Quadratic Forms |
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17 | Eigenvalues (4) |
1. Positive Definite Matrices
2. Nonnegative Matrices |
1. Positive Definite Matrices
2. Nonnegative Matrices |
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18 | 期末考 |
期末考 |
期末考 |
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