MATH 221D · also MATH 721D
Linear Algebra
Leslie D. Saper, Danielle Wang
Description from DukeHub
Systems of linear equations and elementary row operations, Euclidean n-space and subspaces, linear transformations and matrix representations, Gram-Schmidt orthogonalization process, determinants, eigenvectors and eigenvalues; applications. Introduction to proofs. A gateway to more advanced math courses. Not open to students who have taken Mathematics 216 or 218. Recommended prerequisite: Mathematics 122, 112L or 122L.
Skills
- data and statisticsdepartment: MATH
AI-resilient: 0 of 5
- No: Physical, lab or field work
- No: Live work with people
- No: Judgment someone is accountable for
- No: A craft you practice with your hands or body
- No: Small, in-person format
The checks lean on Microsoft Research, Working with AI (2025), which found generative AI applies least to physical work and hands-on work with people. A signal, not a promise. How the score works
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