HCS6347 - Intelligent Systems Analysis

HCS 6347 (ACN 6347) Intelligent Systems Analysis (3 semester credit hours) Mathematical tools for investigating the asymptotic behavior of both deterministic and stochastic nonlinear dynamical systems. Topics include: artificial neural network architectures, Lyapunov stability theory, nonlinear optimization theory, stochastic approximation theory, and Monte Carlo Markov Chain methods such as the Metropolis-Hastings algorithm. Emphasizes development of advanced analytic skills and mathematical reasoning abilities. Prerequisites: (Linear algebra, multivariable calculus, STAT 3341 or equivalent) and BBSC majors only and department consent required. (3-0) T