# 18.06 Linear Algebra

Class Info

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 many applications.

This class has 18.02 as a prerequisite.

18.06 will be offered this semester (Fall 2019). It is instructed by A. Edelman.

Lecture occurs 11:00 AM to 12:00 PM on Mondays, Wednesdays and Fridays in 54-100.

This class counts for a total of 12 credits.

You can find more information on MIT OpenCourseWare at the Linear Algebra site or on the 18.06 Stellar site.

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MIT 18.06 Linear Algebra On The Web

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Tags

vector spaces
systems of equations
matrix theory