Graduate Catalog 2019-2020

ELE 732 Estimation, Detection, Learning, and Inference

3 hours; 3 credits. Algorithmic tools and theoretical framework for data driven analytics and system design. Fundamentals of probability, hypothesis testing, estimation, and introduction to optimization and iterative optimization methods, elements of learning theory, supervised methods, unsupervised methods, dimensionality reduction, regularization, learning in dynamic environments, large data sets, computing environments for large data sets.  Prerequisite: ELE 600 or MTH 600