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Department:
MATH
Course Number:
1554
Hours - Lecture:
3
Hours - Lab:
0
Hours - Recitation:
2
Hours - Total Credit:
4
Typical Scheduling:
Every Semester
Linear algebra through eigenvalues, eigenvectors, applications to linear systems, least squares, diagonalization, quadratic forms.
Prerequisites:
Course Text:
Linear Algebra and Its Applications, 5th Edition, by David C. Lay.
Flow chart describing textbook choices for Fall 2019.
Topic Outline:
Topic | Text Sections | Lectures |
---|---|---|
Solving systems of linear equations | 1.1-1.2 | 2 |
Vectors, geometry of R^n, and solution sets | 1.3-1.5 | 3 |
Linear independence and linear transformations | 1.7-1.9 | 3 |
Matrix operation and matrix inverses | 2.1-2.3 | 3 |
LU factorization | 2.5 | 1 |
Leontief model | 2.6 | 1 |
Applications to computer graphics | 2.7 | 1 |
Subspaces, bases, dimension, rank | 2.8-2.9 | 3 |
Determinants | 3.1-3.3 | 3 |
Markov chains | 4.9 | 1 |
Eigenvalues, eigenvectors, and diagonalization | 5.1-5.3 | 4 |
Google PageRank | Notes | 1 |
Complex eigenvalues and eigenvectors | 5.5 | 2 |
Inner products and orthogonality | 6.1-6.3 | 4 |
Gram–Schmidt and QR | 6.3-6.4 | 3 |
Least squares | 6.5-6.6 | 1 |
Diagonalization and symmetric matrices | 7.1 | 2 |
Quadratic forms and constrained optimization | 7.2-7.3 | 2 |
Singular value decomposition | 7.4 | 2 |