CTIS 266 Applied Linear Algebra for Artificial Intelligence
|
|
Vectors and matrices. Vector operations, geometric interpretation of vectors, dot and cross products, projections, and applications in three-dimensional geometry. Matrix multiplication and linear transformations. Linear equations, existence and classification of solutions, Gaussian elimination and LU decomposition. Inverse matrices and determinants. Vector spaces, span, basis, dimension, and rank. Orthogonality, the Gram - Schmidt process, QR decomposition, and least-squares approximation. Characteristic equation of a matrix: eigenvalues and eigenvectors.
Credit units: 3 ECTS Credit units: 5, Prerequisite:
CTIS 151.
|
|
|
Bilkent University Main Page
Last regenerated automatically on July 31, 2026 by OAC - Online Academic Catalog Software
|
|
