Multidimensional Data Processing (Linear Algebra)

Learning Outcomes

  • Understanding the introduction and background of multidimensional data processing
  • Learning about vectors
  • Understanding rotations to matrix multiplication
  • Learning about the inverse of a matrix, graphs, inner products
  • Understanding matrix classifications
  • Learning about orthogonal matrices, projection, linear independence
  • Understanding Page rank
  • Learning about singular value decomposition (SVD), least squares
  • Understanding the introduction of principal components analysis (PCA)
  • Learning about PCA and SVD, applications

Module Code:

CS2900