Syllabus for Elements of Linear Algebra
Catalog Description:
This course is a study of matrices, systems of linear equations ,
determinants, vectors, vector spaces, eigenvalues, eigenvectors,
and other selected topics.
|
Credit Hours: 3 sem hrs
Contact Hours: 3 hrs/wk
Lab Hours: 0
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Prerequisite(s): MATH 1910
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Required Elementary
Text(s): |
Linear Algebra
Title |
Howard Anton
Author(s) |
9th/2005
Edition/Date |
John Wiley & Sons
Publisher |
|
Required Supplies/Material(s):
Graphics Calculator --TI-86 is preferred, but any
calculator which will perform matrix operations
will be acceptable
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Recommended Supplementary Material(s):
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Student Group for Whom Course is Required/Intended:
This course is required for
students selecting pre -engineering option and is recommended as an
elective for
students who select from the following options: computer science,
mathematics, and
physics.
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GOALS
|
The goals of instruction of MATH 2010 are :
1. to teach the skills needed to solve systems of equations using
various matrix methods,
2. to teach skills needed to evaluate determinants,
3. to teach the skills necessary to use vectors in other areas,
4. to teach the student how to change bases and construct orthogonal
bases,
5. to teach the skills necessary to perform linear transformations ,
6. to teach the student how to find eigenvectors, and
7. to make the student familiar with certain applications of matrix
theory.
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OBJECTIVES
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Through the study of MATH 2010, the student should be able to do the
following.
1. Solve systems of linear equations using Gaussian elimination.
2. To perform matrix operations.
3. To use matrix operations to find the inverse of a matrix.
4. To evaluate determinants.
5. To use properties of determinants to solve problems.
6. To find the norm of a vector and do vector arithmetic .
7. To find dot products.
8. To find the cross product of two vectors .
9. To do vector operations in N-dimensional space.
10. To study orthogonality of a matrix and vectors.
11. To understand and use general vector spaces, subspaces, and spanning
sets.
12. To find the dimension and basis of a vector space.
13. To determine the linear independence or dependence of sets of
vectors.
14. To determine the rank of a matrix and the uses of the rank.
15. To construct an orthonormal basis using the Gram-Schmidt process.
16. To understand linear transformations and to perform them.
17. To construct the matrices of linear transformations.
18. To find the eigenvalues and eigenvectors of certain matrices.
19. To diagonalize matrices.
20. To do orthogonal diagonalizations.
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SUGGESTED EVALUATION PLAN
TASK |
WEIGHT |
OBJECTIVES |
Test 1 Test 2
Test 3
Test 4
Test 5
Test 6 - Final Exam |
100 points 100 points
100 points
100 points
100 points
100 points |
1-3 4-5
9, 11, 12, 13, 14
5, 6, 7, 8, 15
16, 17
1-20 |
FINAL GRADING PLAN
Based Upon Percentages
A = 90-100
B = 80-89
C = 70-79
D = 60-69
F = Below 60
Additional Comments :
INSTRUCTIONAL SCHEDULE
for
MATH 2010 - Elements of Linear Algebra
Course Number and Name
Week |
Objective
Numbers |
Content to be Covered |
Student Assignments/
Supplementary Material(s) |
I.
|
1
|
Introduction to Systems of Linear
Equations |
Exercises 1.1
|
|
1
|
Gaussian Elimination and Gauss -
Jordan Elimination |
Exercises 1.2
|
|
1
|
Applications of Systems of Linear
Equations |
Exercises 1.3
|
|
|
|
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II. |
2 |
Operations with Matrices |
Exercises 2.1 |
|
2 |
Properties of Matrix Operations |
Exercises 2.2 |
|
2 |
The Inverse of a Matric |
Exercises 2.3 |
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|
|
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III. |
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Review for Test |
|
|
1-3
|
Test 1 (Chapter 1 and
Chapter 2 sections 1-3) |
|
|
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Elementary Matrices |
Exercises 2.4 |
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|
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IV. |
4 |
Applications of Matrix Operations |
Exercises 2.5 |
|
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The Determinant of a Matrix |
Exercises 3.1 |
|
4
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Evaluating of a Determinant Using
Elementary Operations |
Exercises 3.2
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V. |
5 |
Properties of Determinant |
Exercises 3.3 |
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Applications of Determinants |
Exercises 3.4 |
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Review for Test 2 |
Review |
|
|
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VI.
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4-5
|
Test 2 (Chapter 2 Sections 4 & 5
and Chapter 3) |
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|
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Vectores in Rn |
Exercises 4.1 |
|
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Vector Spaces |
Exercises 4.2 |
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|
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VII. |
11 |
Subspaces of Vector Spaces |
Exercises 4.3 |
|
11, 13
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Spanning Sets and Linear
Independence |
Exercises 4.4
|
|
12 |
Basic and Dimension |
Exercises 4.5 |
|
|
|
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VIII.
|
14
|
Rank of a Matrix and Systems of
Linear Equations |
Exercises 4.6
|
|
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Coordinates and Change of Basis |
Exercises 4.7 |
|
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Applications of Vector Spaces |
Exercises 4.8 |
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IX. |
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Review for Test 3 |
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|
9,11,12,
13,14 |
Test 3 (Chapter 4)
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|
5, 6, 7 |
Length and Dot product in Rn |
Exercises 5.1 |
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X. |
6 |
Inner Product Spaces |
Exercises 5.2 |
|
15
|
Othonormal Bases; Gram-Schmidt
Process |
Exercises 5.3 |
|
8 |
Applications of Inner Product Spaces |
Exercises 5.5 |
|
|
|
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XI. |
|
Review for Test 4 |
|
|
5,6,7,8,
15 |
Test 4 (Ch. 5 Sections 1,2,3,5)
|
|
|
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Introductions to Linear |
Exercises 6.1 |
|
16 |
Transformations |
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|
|
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XII.
|
16
|
The Kennel and Range of a Linear
Transformation |
Exercises 6.2
|
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17 |
Matrices for Linear Transformation |
Exercises 6.3 |
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Transitions Matrices and Similarity |
Exercises 6.4 |
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XIII. |
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Applications of Linear
Transformations |
Exercises 6.5
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Review for Test 5 |
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16,17 |
Test 5 (Chapter 6) |
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IV. |
18 |
Eigenvalues and Eigenvectors |
Exercises 7.1 |
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19 |
Diagonalization |
Exercises 7.2 |
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10, 20
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Symmetric Matrices and
Orthogonal Diagonalization; |
Exercises 7.3
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XV. |
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Induction |
Appendix A - Induction |
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Review for final |
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XVI. |
1-20 |
Final Exam |
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