HCS6349 - Intelligent Systems Design

HCS 6349 (ACN 6349) Intelligent Systems Design (3 semester credit hours) Probabilistic and statistical modeling tools for the design and evaluation of artificially intelligent deterministic and stochastic nonlinear dynamical systems for the purpose of developing computational models in the field of cognitive-neuroscience and developing machine learning algorithms in the field of artificial intelligence. Topics include probabilistic interpretations of artificial neural network and machine learning algorithms and asymptotic statistical theory for parameter estimation, model selection, specification analysis, and hypothesis testing. Prerequisites: (ACN 6348 or HCS 6348 or instructor consent required) and BBSC majors only. (3-0) T