(1) Understand the definition and basic properties of linear transformation by matrix and learn its computational techniques.
(2) Understand the definition of matrix eigenvalues and eigenvectors, and learn computational techniques for diagonal matrices.
(3) Understand the meaning of differential equations and learn the primary solution of first order differential equations.
(4) Understand the basic properties of second order linear differential equations and learn their primary solutions.
Outline:
As the basis of linear algebra and differential equations, students will learn the application of matrices, first order and second order differential equations.
Style:
Classes by Lecture and practice, timely assignments and exams, etc.
Notice:
Students can not obtain a passing grade if they miss 1/3 or more of classes.
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Theme |
Goals |
1st Semester |
1st Quarter |
1st |
Linear transformation
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Understand and can calculate linear transformations and representation matrices.
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2nd |
Linear transformation
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Understand and can calculate rotation and composite transformations
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3rd |
Linear transformation
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Understand and can calculate Inverse and orthogonal transformations
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4th |
Linear transformation |
Understand and can calculate the linearity of transformations and image of lines.
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5th |
Linear transformation
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Understand and can calculate the image of quadratic curves and regular linear transformations.
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6th |
Linear transformation
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Understand and can calculate nonregular linear transformations and the kernel / image of transformations.
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7th |
Exercise |
Exercise
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8th |
Summary
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Review / development
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2nd Quarter |
9th |
Eigenvalues and their applications
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Understand and can calculate eigenvalues and eigenvectors.
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10th |
Eigenvalues and their applications
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Understand and can calculate the diagonalization of matrices.
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11th |
Eigenvalues and their applications
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Understand and can calculate the Jordan normal form.
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12th |
Eigenvalues and their applications
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Understand and can calculate inner product spaces.
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13th |
Eigenvalues and their applications
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Understand and can calculate the diagonalization of symmetric matrices by orthogonal matrices.
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14th |
Eigenvalues and their applications
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Understand and can calculate quadratic forms.
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15th |
Exercise |
Exercise
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16th |
Exam
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2nd Semester |
3rd Quarter |
1st |
First order differential equations |
Can solve linear differential equations.
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2nd |
First order differential equations |
Can solve linear differential equations.
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3rd |
First order differential equations |
Can solve explicit nonlinear differential equations.
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4th |
First order differential equations |
Can solve explicit nonlinear differential equations.
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5th |
First order differential equations |
Can solve implicit nonlinear differential equations.
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6th |
First order differential equations |
Can solve implicit first order nonlinear differential equations.
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7th |
First order differential equations |
Can solve exact differential equations.
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8th |
Exercise
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Exercise
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4th Quarter |
9th |
Second order differential equations |
Can solve linear differential equations.
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10th |
Second order differential equations |
Can solve linear differential equations by undetermined coefficient method.
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11th |
Second order differential equations |
Can solve Euler differential equations.
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12th |
Second order differential equations |
Can solve linear differential equations by variation of constants.
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13th |
Second order differential equations |
Can solve simultaneous first order linear differential equations.
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14th |
Exercise |
Exercise
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15th |
Summary |
Review / development
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16th |
Exam
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