ES.1806
Linear Algebra
Basic subject on matrix theory and linear algebra, emphasizing topics useful in other disciplines, including systems of equations, vector spaces, determinants, eigenvalues, singular value decomposition, and positive definite matrices. Applications to least-squares approximations, stability of differential equations, networks, Fourier transforms, and Markov processes. Uses linear algebra software. Compared with 18.700 , more emphasis on matrix algorithms and applications. Enrollment limited to Experimental Study Group (ESG) students only.
Prerequisites & course information
Prereq: Calculus II (GIR) U (Spring) 4-0-8 units. REST Credit cannot also be received for 6.C06[J] , 18.06 , 18.700 , 18.C06[J] , CC.1806
Sources
- Course catalogue ↗2026–2027