Multi-Dimensional 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
Skills for module:
Linear Algebra
Python
NumPy
Matplotlib
Problem Solving
Critical Thinking
Time Management
Data Science
Mathematics
Data Visualisation
Multi-Dimensional Data Processing (Linear Algebra)
CS2900
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