MATH 240-3: Algebra I: Linear Algebra, Fall 2018
All course information is on Canvas at canvas.sfu.ca
Text
Linear Algebra and its Applications 5th edition, by David Lay.
Content
- Chapter 1 Linear Equations in Linear Algebra.
- Chapter 2 Matrix Algebra.
- Chapter 3 Determinants.
- Chapter 4 Vector Spaces.
- Chapter 5 Eigenvalues and Eigenvectors.
- Chapter 6 Orthogonality.
- Appendix B Complex Numbers.
Applications
- 2 Markov (stochastic) matrices: internet page ranking algorithms.
- 3 Eigenvalues and eigenvectors: the Leslie age distribution model.
- 4 Orthogonal projection: Least Squares approximation.