Gilbert Strang

In this video, Professor Gilbert Strang shares how he infuses linear algebra with a sense of humanity as a way to engage students in learning mathematics.

An Interview with Gilbert Strang on Teaching Linear Algebra

Lecture 34: Final Course Review

A teaching assistant works through a problem on the final exam.

Final Exam Problem Solving

A teaching assistant introduces problems found on the third exam.

Exam #3 Problem Solving

Lecture 32: Quiz 3 Review

A teaching assistant works through a problem on pseudoinverses.

Pseudoinverses

Lecture 33: Left and Right Inverses; Pseudoinverse

A teaching assistant works through a problem on change of basis.

Change of Basis

Lecture 31: Change of Basis; Image Compression

A teaching assistant works through a problem on linear transformations.

Linear Transformations

Lecture 30: Linear Transformations and Their Matrices

A teaching assistant works through a problem on computing the singular value decomposition.

Computing the Singular Value Decomposition

Lecture 29: Singular Value Decomposition

A teaching assistant works through a problem on similar matrices.

Similar Matrices

Lecture 28: Similar Matrices and Jordan Form

A teaching assistant works through a problem on positive definite matrices and minima.

Positive Definite Matrices and Minima

Lecture 27: Positive Definite Matrices and Minima

A teaching assistant works through a problem on complex matrices.

Complex Matrices

Lecture 26: Complex Matrices; Fast Fourier Transform

A teaching assistant works through a problem on symmetric matrices and positive definiteness.

Symmetric Matrices and Positive Definiteness

For some reason, the lectures are posted separately. Search for Linear Algebra on iTunes and you will find them.

The Recitations

These are only recitation…where are the lectures??

OCW Scholar: Linear Algebra

Lecture 14: Orthogonal Vectors and Subspaces

Lecture 20: Cramer's Rule, Inverse Matrix, and Volume

Lecture 25: Symmetric Matrices and Positive Definiteness

Lecture 02: Elimination with Matrices

Lecture 06: Column Space and Nullspace

Recitation 01

Lecture 24: Markov Matrices; Fourier Series

Lecture 05: Transposes, Permutations, Spaces R^n

Lecture 18: Properties of Determinants

A teaching assistant works through a problem on the geometry of linear algebra.

Geometry of Linear Algebra

Lecture 16: Projection Matrices and Least Squares

Lecture 22: Diagonalization and Powers of A

Lecture 10: The Four Fundamental Subspaces

A teaching assistant introduces key ideas found in the course 18.085.

An Overview of Key Ideas

A teaching assistant works through a problem on the four fundamental subspaces.

Computing the Four Fundamental Subspaces

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