Resources
Required course materials
WileyPLUS
WileyPLUS access for Howard Anton, Elementary Linear Algebra: Applications Version, 12th edition, is required. All homework will be assigned, completed individually, and automatically graded through WileyPLUS. Launch each homework assignment from Canvas; do not search for or join the course separately on the WileyPLUS website.
Purchase single-term access when prompted after launching a WileyPLUS assignment in Canvas. WileyPLUS includes the online textbook for the duration of the course.
To read the textbook without opening a homework assignment, open Wiley Course Resources in Canvas (also in the Canvas course menu). On the Course Resources tab, find WileyPLUS eTextbook and click Launch. You can also expand a chapter and select a section to open that part of the textbook. Use the Practice tab for additional practice. See Wileyβs illustrated access instructions. If Wiley Course Resources is missing from your course menu, let the instructor know.
Textbook
Howard Anton, Elementary Linear Algebra: Applications Version, 12th edition. The online textbook is included with required WileyPLUS access, so a separate printed copy is optional.
Computing resources
The course will use Python for numerical and symbolic matrix computation, visualization, and experimentation. Use the repository-access instructions for initial setup and the Notebooks page for validated demonstrations.
Initial Python environment
- NumPy for array and numerical matrix computation
- SciPy for scientific computing
- Matplotlib for visualization
- SymPy for exact symbolic computation
- JupyterLab for demonstrations and exercises
Course systems
| Resource | Location |
|---|---|
| Canvas | MATH 332 course |
| WileyPLUS | Textbook and study resources; launch homework assignments through Canvas |
| Math Tutoring Center | Fall 2026 tutoring is available in RE 129 and online. Enrolled students can find the current tutoring schedule and Zoom link in Canvas after signing in. |
| Course repository | MATH332Fall2026 on GitHub |
| Repository setup | Accessing the Course Repository |
| Notebooks | Demonstrations and exercises |
| Python demonstrations | Validated demonstrations |
| Python exercises | Links will be added after validation |
Professional community
Students interested in applied mathematics can explore SIAM student membership.