MAT4XXX/5XXX

This course is intended to develop practical marketable skills in data analytics using rigorous mathematical methodologies via SQL, Python and Git. The mathematical topics covered involve: Singular value decomposition, single and multiple discriminant analysis, integral transforms with orthogonal & non-orthogonal functions/data and their connection with regression techniques, nonlinear discriminants through dimensionality augmentation (artificial neural networks). The course covers techniques to characterize the context of a data problem, and addresses issues related to reproducibility of computational results.