Course Details

Course details of EE5351
Course NoEE5351
Course TitleLinear Algebra Techniques for data analysis and modelling
Credit9
Course ContentVector spaces, spaces associated with a matrix, linear transformations, similarity transformations.Solution of linear system of equations, LU and QR decomposition, orthogonal and oblique projections, pseudo-inverse,singular value decomposition.Applications to data analysis: Regression, Principal component analysis, factor analysis, linear discriminant analysis, compressed sensing.Application to modelling: System identification, dimensionality reduction of a system of differential equations, Krylov subspace techniques, data-driven modelling.
Course Offered this semesterNo
Faculty Name