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Grinnell College · 4 credits · UGRD

Linear algebra plays a fundamental role in mathematics and its applications. From a computational perspective, the subject studies systems of linear equations and matrix algebra. Some courses include additional applications such as fitting lines and curves to data, Markov processes, and linear differential equations. From a more abstract perspective, linear algebra studies linear transformations between vector spaces. This course balances the computational, conceptual, and theoretic aspects of the subject, and explores their connections. In addition to the core topics (matrices, vector spaces, eigenvectors, dimension), the course develops mathematical reasoning and writing skills. Prerequisite: Mathematics 133. STAFF.
Fall 2026 · 3 sections
Aug 27 – Dec 18
| Section | Days & time | Location | Instructor |
|---|---|---|---|
| 01Class #98695-MAT-215-01 | Monday, Wednesday, Friday 10:00 AM - 10:50 AM Noyce Science Ctr 2245 (Lecture) | Noyce Science Ctr 2245 | Nicholas Ng |
| 02Class #98696-MAT-215-02 |
| Noyce Science Ctr 2517 |
| Marc Chamberland |
| 03Class #98697-MAT-215-03 | Monday, Wednesday, Friday 2:10 PM - 3:00 PM Noyce Science Ctr 2517 (Lecture) | Noyce Science Ctr 2517 | Marc Chamberland |
|---|