ISEN 413: Advanced Data Analytics for Industry

Course Description

Credits 3.
3 Lecture Hours.Data mining; linear discriminant analysis (LDA), principal component analysis (PCA) and other methods; classification, clustering, and mining, information extraction; dealing with uncertainty, Bayesian inference; neural models, regression and feature selection.Prerequisites:Grade of C or better inISEN 310andISEN 350; junior or senior classification.