MATH 2210 Linear Algebra
This course is an introduction to the techniques of linear algebra in Euclidean space. Topics covered include matrices, determinants, systems of linear equations, vectors in n-dimensional space, complex numbers, and eigenvalues. The course is required of mathematics majors and is also suitable for students in the social sciences, natural sciences, and management.
Course overview
- Department
- Mathematics
- School
- MCAS
- Credits
- 3
- Level
- Undergraduate
- Offered
- Every Fall, Every Spring
Requirements fulfilled
- Computer Science B.A.: Calculus component (Calculus II for science majors or higher) (Current University Catalog; students should confirm their catalog year)
- Neuroscience B.S.: Computation (6 Credits) — Any one of the following courses (Current University Catalog; students should confirm their catalog year)
- Psychology B.S. (Class of 2027 and Before): Computational Corequisite — two of the following courses (6 or more credits) (Class of 2027 and Before)
- Psychology B.S.: Computational Corequisite — two of the following courses (6 or more credits) (Class of 2028 and After)
- Mathematics B.A.: Linear Algebra option (Current University Catalog; students should confirm their catalog year)
- Mathematics B.S.: Linear Algebra option (Current University Catalog; students should confirm their catalog year)
- Computer Science B.A.: Linear algebra component (Current University Catalog; students should confirm their catalog year)
- Biology B.S.: Quantitative corequisite options (Current University Catalog; students should confirm their catalog year)
- Computer Science B.S.: Required mathematics component (Current University Catalog; students should confirm their catalog year)
- Mathematics: MATH2210 Linear Algebra or MATH2211 Linear Algebra (Honors) (Current University Catalog; students should confirm their catalog year)
Course evaluations
- Course rating
- 4.05 / 5 · Very Good
- Instructor rating
- 4.16 / 5 · Very Good
- Terms evaluated
- 10
| Term | Instructor | Course overall | Instructor overall | Well organized | Clear learning objectives | Intellectually challenging | Helpful assignments | Applicable beyond course | Attendance necessary | Weekly effort | Responses |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Spring 2026 | Eric Moss | 4.2 | 4.3 | 4.6 | 4.6 | 4.6 | 4.7 | 4.6 | 4.6 | 4–6 hrs/week | 25 of 30 |
| Spring 2026 | Joseph Boninger | 4.1 | 4.6 | 4.7 | 4.7 | 4.6 | 4.7 | 4.3 | 4.6 | 4–6 hrs/week | 30 of 35 |
| Spring 2026 | Winston Leslie | 3.5 | 3.6 | 3.7 | 3.8 | 4.5 | 4.5 | 4.1 | 4.3 | 4–6 hrs/week | 23 of 30 |
| Spring 2026 | Zachary Gardner | 4.3 | 4.2 | 4.1 | 4.3 | 4.5 | 4.6 | 4.6 | 4.4 | 4–6 hrs/week | 25 of 30 |
| Fall 2025 | Dawei Chen | 4.2 | 4.1 | 4.6 | 4.5 | 4.5 | 4.8 | 4.4 | 4.5 | 1–3 hrs/week | 33 of 42 |
| Fall 2025 | Patrick Lei | 3.0 | 2.9 | 3.6 | 3.9 | 4.5 | 4.2 | 4.3 | 4.7 | — | 11 of 15 |
| Fall 2025 | Thomas Hameister | 4.4 | 4.9 | 4.8 | 4.7 | 4.7 | 4.8 | 4.8 | 4.7 | 4–6 hrs/week | 26 of 31 |
| Spring 2025 | Agniva Roy | 4.3 | 4.5 | 4.7 | 4.7 | 4.7 | 4.8 | 4.6 | 4.5 | 1–3 hrs/week | 42 of 58 |
| Spring 2025 | Juliana Belding | 4.7 | 4.8 | 4.8 | 4.8 | 4.7 | 4.8 | 4.7 | 4.7 | 4–6 hrs/week | 55 of 66 |
| Fall 2024 | Avner Ash | 4.3 | 4.3 | 4.7 | 4.6 | 4.8 | 4.7 | 4.6 | 4.4 | 4–6 hrs/week | 49 of 56 |
| Fall 2024 | Dubi Kelmer | 3.2 | 3.1 | 4.3 | 4.1 | 4.7 | 4.5 | 4.0 | 4.4 | 4–6 hrs/week | 37 of 45 |
| Spring 2024 | Dawei Chen | 3.2 | 3.4 | 4.1 | 3.9 | 4.3 | 4.1 | 3.8 | 4.0 | 4–6 hrs/week | 41 of 50 |
| Spring 2024 | Juliana Belding | 4.3 | 4.7 | 4.8 | 4.8 | 4.7 | 4.8 | 4.7 | 4.8 | 4–6 hrs/week | 52 of 57 |
| Fall 2023 | Andrei Ionov | — | — | — | — | — | — | — | — | — | 7 of 10 |
| Fall 2023 | Avner Ash | — | — | — | — | — | — | — | — | — | 50 of 61 |
| Fall 2023 | Dubi Kelmer | — | — | — | — | — | — | — | — | — | 25 of 31 |
| Spring 2023 | Caleb Ashley | 4.0 | 4.3 | 4.3 | 4.5 | 4.5 | 4.7 | 4.5 | 4.0 | 4–6 hrs/week | 26 of 33 |
| Spring 2023 | David Treumann | 3.7 | 3.7 | 4.1 | 4.1 | 4.3 | 4.5 | 4.3 | 3.7 | 4–6 hrs/week | 31 of 33 |
| Spring 2023 | Keaton Quinn | 4.8 | 4.9 | 4.8 | 4.9 | 4.4 | 4.9 | 4.5 | 4.6 | 1–3 hrs/week | 56 of 69 |
| Fall 2022 | Avner Ash | 4.3 | 4.2 | 4.6 | 4.6 | 4.4 | 4.8 | 4.4 | 4.3 | 1–3 hrs/week | 40 of 60 |
| Fall 2022 | Julia Grigsby | 4.2 | 4.3 | 4.7 | 4.6 | 4.5 | 4.7 | 4.5 | 4.4 | 4–6 hrs/week | 36 of 42 |
| Spring 2022 | David Treumann | 3.5 | 3.4 | 4.1 | 4.1 | 4.2 | 4.4 | 3.7 | 3.9 | 4–6 hrs/week | 16 of 32 |
| Spring 2022 | Ryan Contreras | 3.5 | 3.3 | 3.8 | 3.8 | 4.0 | 4.4 | 4.1 | 3.6 | 1–3 hrs/week | 31 of 67 |
| Fall 2021 | Avner Ash | 4.2 | 4.3 | 4.6 | 4.4 | 4.6 | 4.8 | 4.4 | 4.5 | 4–6 hrs/week | 31 of 59 |
| Fall 2021 | Tao Li | 4.1 | 4.1 | 4.6 | 4.4 | 4.5 | 4.7 | 4.2 | 3.9 | 4–6 hrs/week | 17 of 28 |
Data freshness
Instructors
Sections
- Section 01
- Section 02
- Section 03
- Section 04
- Section 01
- Section 02
- Section 03
- Section 04