Linear Algebra
Linear Algebra
The course is aimed at science and engineering students, especially applications in Artificial Intelligence, Data Science.
A quick review of analytic geometry, vectors in space.
Euclidean spaces, linear systems.
Vector spaces
Linear transformations
Determinants, eigenvalues, eigenvectors
Inner spaces and orthogonality
Symmetric matrices
Decomposition of vector spaces, canonical forms
Answers to selected exercises
Bibliography
Index
Here is a detailed Syllabus for Fall 2022