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Robert L. Watson
MSB (SAS Hall) Office #3143 Email: rlwatso3 -at- unity -dot- ncsu -dot- edu |
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Section |
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1.2 |
page 23: Q3, 6, 10, 11, 15, 17, 20, 21-28, 31, 33, 41, 43, 47 |
QUIZ 1 |
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1.3 |
page 37: Q5, 9, 10, 11, 19, 23, 25, 31, 35, 42, 43, 44 |
QUIZ 2 |
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1.4 |
page 45: Q5, 7, 13, 17, 21, 27, 29, 31, 33, 35 |
1.5 |
page 51: Q5, 9, 13, 15, 17, 19, 25, 29 |
QUIZ 3 |
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1.6 |
page 65: Q 1-4, 9, 10, 11, 15, 18, 19, 27-30, 35, 38, 52 |
Exam 1 Study Guide |
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Extra Credit 1 |
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Midterm Exam 1 |
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1.7 |
page 77: Q 1-4, 5, 7, 8, 12-14, 18, 19, 23, 27, 30-32 |
3.1 |
page 137: Q 2, 3, 7, 8, 11, 12, 13, 14-19, 22, 26, 27 |
QUIZ 4 |
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3.2 |
page 154: Q 5-10, 12, 13, 19, 23, 25, 26, 27, 29, 32, 37-40, 41, 42, 43, 45, 47, 48, 50 |
QUIZ 5 |
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3.3 |
page 171: Q 1, 2, 4, 5, 6, 9, 11, 12, 13, 17, 19, 20, 24, 26, 38, 39, 41 |
QUIZ 6 |
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Exam 2 Study Guide |
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3.4 |
page 182: Q 1-8 |
Midterm Exam 2 |
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4.1 |
page 211: Q 1, 3, 5, 9, 11, 13, 15, 19, 23, 24, 26, 27, 44 |
Extra Credit 2 |
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QUIZ 7 |
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4.2 |
page 223: Q 1, 5, 9, 13, 17, 19, 25, 2731, 33, 34, 39 |
4.4 |
page 245: Q1, 3, 4, 5 |
QUIZ 8 |
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5.1 |
page page 285: Q1, 3, 7, 11, 13, 16, 18, 19, 22, 25, 29, 30 |
5.2 |
page 298: Q3, 7, 11, 21, 23, 27, 28, 29, 30, 31, 32, 33 |
6.1 |
page 332: Q29, 30, 34, 36 |
6.2 |
page 341: Q3, 8, 9, 10, 11, 12, 27, 29, 30, 33 |
QUIZ 9 |
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6.3 |
page 353: Q3, 5, 11, 13, 15, 17, 21, 28, 29, 30, 32, 33 |
6.4 |
page 364: Q5, 7, 13, 16, 17, 23, 25, 27 |
Exam 3 Study Guide |
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Midterm Exam 3 |
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6.6 |
page 383: Q7, 10, 13, 15, 16, 22, 23, 24, 25, 26, 27, 29 |
Extra Credit 3 |
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Final Exam Study Guide |
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Final Exam |
| # Lectures | Sections | Topics |
| 3 | 1.1, 1.2 | Linear systems of equations, elementary row operations, row echelon form of a matrix, Gaussian elimination |
| 3-5 | 1.3 - 1.5 | Matrix algebra: definition of a matrix, operations with matrices and their properties, invertible matrices, inverse of a matrix. Matrix equations |
| 3-5 | 1.6, 1.7 | Determinants and their properties; applications of determinants: finding the inverse of a matrix, Cramer's Rule. Elementary matrices and LU decomposition |
| 1 | Exam 1 Friday, 12 February | |
| 4-5 | 3.1, 3.2 | Vector spaces: axioms, subspaces, spanning sets, linear independence of vectors. |
| 4-5 | 3.4, 3.5 | Basis and dimension of vector spaces, coordinate matrix, fundamental subspaces associated with a matrix, the relationship between the rank and nullity of a matrix |
| 3-4 | 4.1 - 4.3 | Linear transformations: definition, examples, matrix representation of linear transformations between Euclidean vector spaces, similarity between square matrices. |
| 1 | Exam 2 Friday, 12 March | |
| 4-5 | 5.1 - 5.3 | Eigenvectors and eigenvalues, diagonalization of a matrix, symmetric matrices, applications |
| 4-5 | 6.5, 6.6 | Least Squares Approximation. Diagonalization of real symmetric matrices by orthogonal matrices |
| 1 | Exam 3 Friday, 23 April | |
| 1-2 | 6.8 | Singular Value Decomposition of Matrices |
| Final Exam Monday, 10 May 8am - 11am |