This is a basic subject on matrix theory and linear algebra. Emphasis is given to topics that will be useful in other disciplines, including systems of equations, vector spaces, determinants, eigenvalues, …

This course covers matrix theory and linear algebra, emphasizing topics useful in other disciplines such as physics, economics and social sciences, natural sciences, and engineering.

This course offers a rigorous treatment of linear algebra, including vector spaces, systems of linear equations, bases, linear independence, matrices, determinants, eigenvalues, inner products, …

This section contains a complete set of video lectures on linear algebra along with transcripts and related resource files.

This syllabus section provides information on course goals, meeting times, prerequisites, required text, homework, exams, grading, and tools for numerical linear algebra.

NOTE: More material on linear algebra (and much more about differential equations) is in Professor Strang’s 2014 textbook Differential Equations and Linear Algebra.

This course covers matrix theory and linear algebra, emphasizing topics useful in other disciplines. Linear algebra is a branch of mathematics that studies systems of linear equations and the …

This resource index gives users access to most of the course resources in a single location.

MIT OpenCourseWare is a web based publication of virtually all MIT course content. OCW is open and available to the world and is a permanent MIT activity

Assignments The problem sets make up 15% of the course grade. Problems are assigned from the required text: Strang, Gilbert. Introduction to Linear Algebra. 4th ed. Wellesley-Cambridge Press, …