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)

Requirement eligibility can vary by school, cohort, and section. Confirm the selected section in EagleApps or with an advisor.

Official evaluation summary

4.05 / 5

Based on 815 aggregate responses from BC Avalanche/Blue evaluations.

Data freshness

Course and evaluation data last updated 2026-08-02. Source details and limitations are documented in Data Sources and Methodology.

Instructors

  • Avner Ash
    Fall 2026, Fall 2024, Fall 2023, Fall 2022, Fall 2021 · Official rating 4.23/5
  • Dubi Kelmer
    Fall 2026, Fall 2024, Fall 2023 · Official rating 3.30/5
  • Agniva Roy
    Spring 2025 · Official rating 4.47/5
  • Andrei Ionov
    Fall 2023 · Official rating 2.14/5
  • Caleb Ashley
    Spring 2023 · Official rating 4.35/5
  • David Treumann
    Spring 2023, Spring 2022 · Official rating 3.64/5
  • Dawei Chen
    Fall 2025, Spring 2024 · Official rating 3.73/5
  • Julia Grigsby
    Fall 2022 · Official rating 4.31/5
  • Juliana Belding
    Spring 2025, Spring 2024 · Official rating 4.75/5
  • Keaton Quinn
    Spring 2023 · Official rating 4.93/5
  • Patrick Lei
    Fall 2025 · Official rating 2.91/5
  • Ryan Contreras
    Spring 2022 · Official rating 3.33/5
  • Tao Li
    Fall 2021 · Official rating 4.12/5
  • Thomas Hameister
    Fall 2025 · Official rating 4.88/5
  • Eric Moss
    Spring 2026 · Official rating 4.28/5
  • Joseph Boninger
    Spring 2026 · Official rating 4.57/5
  • Winston Leslie
    Spring 2026 · Official rating 3.59/5
  • Zachary Gardner
    Spring 2026 · Official rating 4.21/5

Sections

  • Section 01
    Fall 2026 · Dubi Kelmer · Gasson Hall 206 MWF 10:00AM-10:50AM · Offered
  • Section 02
    Fall 2026 · Dubi Kelmer · Gasson Hall 206 MWF 11:00AM-11:50AM · Offered
  • Section 03
    Fall 2026 · Avner Ash · Gasson Hall 206 MWF 02:00PM-02:50PM · Offered
  • Section 04
    Fall 2026 · Avner Ash · None · Offered