Introduction to linear algebra:
Systems of linear equations
Matrix algebra
Linear independence
Subspaces, bases and dimension
Orthogonality
Least-squares methods
Determinants
Eigenvalues and eigenvectors
Matrix…
Identify how to solve a given system of linear equations
Understand when the least square method is used in practice
Apply diagonalization in convoluted matrix computations
Apply knowledge about symmetric matrices
About this course:
Introduction to linear algebra:
Systems of linear equations
Matrix algebra
Linear independence
Subspaces, bases and dimension
Orthogonality
Least-squares methods
Determinants
Eigenvalues and eigenvectors
Matrix diagonalization
Symmetric matrices
Prerequisites
Course Math 3B or 31B or 32A with grade of C or better.
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