- You are here:
- Home
Department:
MATH
Course Number:
1553
Hours - Lecture:
2
Hours - Lab:
0
Hours - Recitation:
1
Hours - Total Credit:
2
Typical Scheduling:
Every Semester
An introduction to linear algebra through eigenvalues and eigenvectors, applications to linear systems, least squares.
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 | 3 |
Vectors, geometry of Rn, solution sets | 1.3-1.5 | 4 |
Linear independence and linear transformations | 1.7-1.9 | 2 |
Matrix operations and matrix inverses | 2.1-2.3 | 2 |
LU factorization | 2.5 | 2 |
Subspaces, bases, dimension, rank | 2.8-2.9 | 2 |
Determinants | 3.1-3.2 | 2 |
Vector spaces | 4.3 | 1 |
Eigenvalues and eigenvectors | 5.1-5.3 | 3 |
Diagonalization of symmetric matrices | 7.1-7.2 | 2 |
Inner products and orthogonality | 6.1-6.3 | 3 |
Gram–Schmidt and QR decomposition | 6.3-6.4 | 3 |
Method of least squares | 6.5 | 1 |